I've been doing this for close to 30 years. I've worked for software vendors and I've worked for major companies and now I'm at this small healthcare organization. The "holy grail" has always been the ability to decompose response time and Dynatrace has done that and integrated all of my APM needs in one tool. That is the biggest benefit to me. I can do application performance, from web to Java deep-dive, in one place. That's probably why it costs so much.

If you're thinking about Dynatrace, consider how easy it is to install and maintain. It has broad coverage and it's easy to use. I don't know how the rest of the market even competes anymore; it must be on cost.

As an APM tool, I'd probably rate it at nine out of ten. There are a few rough edges, but I think that's mainly because they're trying to do the right thing too fast.

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We are typically about a version or two behind. We are on the managed solution.

Our model of deployment is on-premises. I would say there are a couple of thousand users of this solution in our company. We are also planning on increasing the usage as our apps migrate to the cloud.

I would advise other people looking into solutions, to do their homework beforehand and not assume that by deploying all the tools everything will automatically work, so there's still a lot of configuration involved.

I would rate this solution as a whole an eight, on a scale from one to 10, with one being the worst and 10 being the best.

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You need to plan how it will be consumed within the company and assign a product owner to make sure uptake is there.

We have 100% adoption. Everyone who needs to use it, uses it.

I would rate Dynatrace as a nine out of 10. 

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We have integrated our notification systems through PagerDuty, Slack, and our auto ticketing app. This is to generate incident records. The integrations with PagerDuty and Slack are effective. We're in the process of migrating some tools to ServiceNow. Thus, we are in the process of doing synchronization of both the events while also evaluating the CMDB integration with ServiceNow. There are some recent capabilities that make this look more attractive to automate discovery and relationship building that we're looking forward to, but we have not yet implemented. The integration to ServiceNow will be good.

The desire is to have Dynatrace help DevOps focus on continuous delivery and shift quality issues to pre-production. We are not there yet. The vision is there and it makes sense with the information that we see, but we have not had the opportunity. Even though we've been using the product now for two years, we're only now just starting an effort to roll the product out across the enterprise and replace competitive products for application infrastructure monitoring. We'll then have the opportunity for that full CI/CD integration or NoOps opportunity.

We will be rolling out to some highly dense environments in the near future. We haven't run into any performance issues yet. The only issue that we ran into previously is with the automated instrumentation of the product. We accidentally disabled the competitive products that teams were using as we were evaluating Dynatrace. You can get in front of yourself in rollout.

We don't have the solution’s self-healing functionality integrated into the automation product. Dynatrace doesn't have the self-healing capability of restarting services. Therefore, from a monitored application perspective, we haven't enjoyed that capability yet.

We are in the process of testing some parts of the session replay. We see value there and are working through understanding the auditory or compliance impacts to leverage this feature.

Based on my experience and history of the products, I would rate it at least a nine (out of 10). It's been far superior to other products in its capabilities and comprehensiveness, especially across both cloud and legacy technologies, such as older technologies (like mainframes and server-based monolithic applications).

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It’s definitely a good tool. It is a perfect combination of technical and business. It enables us to identify and make dashboards related to hardware, application, and business. Overall, I rate the tool a seven out of ten.

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My advice would be to compare and compare again. Everybody's offering free trials, and I know that they're a pain to do, but compare the products, apples for apples. Everybody's going to compare costs, but be sure to compare the functionality. Are you getting what you pay for? Are you getting the bang for your buck out of what the product is returning to you? If all you need to know is "my server's down," you can probably get by with the cheapest thing out there. But if you want to know why the server is down, or that the server is about to go down and you need to do something, then you want a product like Dynatrace.

I go to their Perform conference every year, and it's amazing to me to see the loyalty and dedication from the customer side. It's like a family reunion every year when we go to Perform. I hope we have it next year.

From a core-product perspective, Dynatrace is doing everything that we ever asked for. Everything that we've ever wanted to monitor, it has always been there first.

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I would say to go for it. You won't regret it. Dynatrace has been an awesome product. The complexity of Dynatrace arises from its vast array of features and settings. It takes a considerable amount of time to learn and understand all the options it offers. 

Overall, I would rate the solution a ten out of ten.

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We do not use the solution for dynamic microservices within a Kubernetes environment. It was on our development roadmap for this year, but I think COVID-19 has probably pushed it to next year. While it is something we will be doing, we're not doing it now.

We have not yet integrated the solution with our CI/CD and/or ITSM tools, as it was on our roadmap for this year. We are a GitHub and Jenkins shop, and Dynatrace has plugins for both of those tools. One of the very next things we want to do with the tool is plug it into our CI/CD process so we can have sort of a hands-free built. We want to allow our builds to run through the entire pipeline and be managed by these three tools, then allow Dynatrace to do the reporting on the deployment and the resulting difference in the web application based on that new format.

My advice would probably be to start with the SaaS implementation to get a feel for Dynatrace, what it does, and what it can deliver. Then, based on results with the SaaS platform, evaluate installing the onsite on-prem solution. They both have their advantages and disadvantages. They obviously work best when you use them together, but there are some instances where our firm does not need an on-prem solution and may need just the SaaS application. Vice versa, there may be some firms that just need the on-prem solution and don't need the SaaS cloud based solution. In my opinion, it is best to start with SaaS, then based on what you discover with SaaS, decide whether you need on-prem.

I would give Dynatrace a solid eight (out of 10). It's beyond the expectations that I had when we purchased and installed it. As I went along and learned more about Dynatrace after the implementation, I was impressed with how much the tool does. Another aspect is not just how much it does, but how easy it is to do it. The AI engine runs 24/7/365, providing input. The dashboards make it super easy for my users to use as well as myself. 

The analytics that it provides are very easy to read. You can present them in pie charts, bar charts, or single table data. There's just a myriad of ways you can display the data that you get from Dynatrace to make it more consumable for users. 

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I recommend the solution, specifically if you want to find your root causes before issues become bottlenecks. 

The solution is a really good product and I rate it an eight out of ten. 

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I would recommend following the instructions. It's easy to understand.

Nothing is very perfect. I would rate Dynatrace a nine out of ten.

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My advice would be to jump all-in. There doesn't seem to be another tool that can do it like Dynatrace, and from what we've seen the last two times we've gone to their Dynatrace Perform conferences, they are dedicated to innovating and adding features to the platform.

We are not yet using Dynatrace for dynamic microservices within a Kubernetes environment. We are beginning to play in that arena. We're looking at tools that will help us migrate from our current VM architecture to a Kubernetes deployment architecture, to enable us to get more into a no-DevOps type of environment. But today, we're still on a virtual machine deployment architecture.

Similarly, we have not integrated the solution with our CI/CD and/or ITSM tools. That is on our roadmap. As we migrate and transition into a no-DevOps and continuous improvement/continuous deployment operation, we'll begin to use Dynatrace as part of our deployment processes.

The solution hasn't yet decreased our time to market for new innovations or capabilities, but we believe that we will realize that benefit going forward, since we'll be leveraging Dynatrace in our lower environments to find out where breaking points are of new features that we release.

We have half-a-dozen regular users who range from our e-commerce architect to DevOps engineers to front-end software developers. My role as a user is more of a senior-level executive or sponsor role. We also have some IT folks, some database administrators and some CI people, but most of our users are in the IT/technical realm.

We don't have a team dedicated to maintaining the solution. We do have a team responsible for it, though. That is the team that just helped instrument our lower environment with Dynatrace. We've got some shared responsibilities and some deployment instructions that are shared across three different groups. They're from IT, our omnichannel group, which is really our business side, and we leverage a third-party for staff augmentation and they use Dynatrace to help us monitor during our off-hours.

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Owing to the fact that Dynatrace is a SaaS-based product, there isn't much maintenance required. My company only subscribes to the services provided by the solution, and Dynatrace looks after the maintenance part, a major reason why only a small team is required to administer it.

I recommend Dynatrace to those who plan to use it since it is a Rolls Royce of monitoring tools with which you can't go wrong. Dynatrace gives you exactly what you want. There are no comparisons to Dynatrace with any other tool out there in the market.

Dynatrace is a brilliant product.

I rate the overall product a nine out of ten.

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A PoC is the best way to go. Put it against an application and go through the paces of tagging, analyzing, and alerting on it. You can understand what it does and how it does it. Give it a very complex application, so you can see how well it works.

We use the on-premise version because we have it running on VMware. We also use it on AWS to manage our systems on AWS for production and for our non-production environments.

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When it comes to the nature of digital complexity, and role of AI when it comes to IT's ability to scale in the cloud and manage performance problems, that's the direction that we're already going, and I don't think we can avoid it. It's something that for us, as a large organization, we will need to leverage. I think we will adopt it, hopefully, sooner rather than later.

If we had just one solution that could provide real answers and not just data, the immediate benefit would be that we'd be able to do more work, free up our time to do other tasks. Also, as a trickle down effect, the more time we have to do other people's requests - we have hundreds of applications in our organization  - so the trickle down effect would benefit all teams.

For us, the most important criteria when selecting a vendor are stability of the product, and HA is definitely on the list due to our nature of our business. Also, new features being added on, that's always a big plus.

I would give it a solid eight. Again, it has a few features lacking or which haven't been there since the inception - the HA - because we've gone through three or four upgrades. When we lose our one server, we might lose two server instances, so it affects more applications.

I'd definitely say sign up for the trial, test it out in your test environment, and get your business users and app support teams involved quickly just to see the benefits. Just being able to look at the PurePaths; the first time I saw PurePaths I thought, "Wow. This is a pretty powerful tool."

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If you are implementing it for mainframe or MQ stuff, what are the things available and what are the other configurations that you need to set up.

Right now, we do not have AI capability. We are on AppMon. For us, it is about going and debugging the PurePath and looking into what is the issue: finding out the other use cases or root causes. It is pretty much manual. We are trying to moving from AppMon to Dynatrace Managed within the next six months. We are planning to do a debug on that. Going through all the videos and classes, it seems like Managed makes more sense for us and would be more helpful than AppMon.

If I had just one solution which could provide real answers, not just data, the immediate benefit for my team would be escape being pulled into a call and spending most of the time in analysis finding the root cause. If we are able to find the root cause and fix it immediately, that downtime would be less. That is the biggest benefit.

Most important criteria when selecting a vendor: customer support. That is most important, because companies do not have the tool knowledge initially, and someone needs support it or they need to hire someone. For companies like us, initially we onboard someone who has much more experience with the application inside the company, because we need some training on the customer support: when to support and what we need to do. 

The next one is writing the PoC, we have to find out whether it is satisfying all our use cases. So, if a system helps us with our issues, that would be great.

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When it comes to the nature of digital complexity, the role of AI - when it comes to IT's ability to scale in the cloud and manage performance properly - is huge. We saw it when moving to Dynatrace AppMon and started the Gen 2 platform and wondering how did we deal with problems just a few years ago without tools like this? Now we've gone into the Gen 3 platform space and really, with apps exploding from the perspective of complexity - as it's impossible to manually understand where all the moving parts are at any one time, where to look for a problem if it happens - AI really rolls all that up in a way that makes it useful, and we don't waste time trying to dig through things like we would have even with AppMon. So it's immensely important.

We still use siloed monitoring tools to some extent, and we've used quite a few of them. They have their place for what they do but, in reality, we've had to look at other aggregation-type tools and bringing feeds from each of those together. Let's say a Windows Server monitoring tool can tell you the CPU is higher, but it doesn't give you any perspective on what the actual impact is for the user of the app that's sitting on it. And that one server might only be a small cog in the wheel of the overall app. It's great at telling you what it does, but it doesn't go any further than that. You really need something that aggregates all those things together and has perspective. And that's really what app teams want. I think those tools are better served in the operations space, but then that's where they're stuck, they'll never go further than that.

If there was just one solution that could provide some real answers, as opposed to just data, the benefit would be that looking in multiple tools definitely slows you down. The fact that a tool like Dynatrace can bring all those things together and really help pop problems up right into your face is a huge time-saver. I don't know anyone that's got extra time on their hands at this point, so anything that helps us save time and get us to a resolution of a problem faster is of huge importance. Looking back, a few years back, trying to look at multiple tools to help us figure out problems, teams could spin for weeks because we'd have no idea where to look; classic war-room scenario, where everyone's pointing fingers at everyone else in the room, "It's not my problem." Dynatrace has really done a lot to help us get rid of those types of scenarios and be productive, really addressing actual issues.

I give it a nine out of 10. Compared to the other solutions out there, I'd still say it's top breed. It's great to see they're doing a lot more with the product on a big scale. But there are a few things they need to knock off the list to hit that 10; it's not perfect, but it's really, really good.

In terms of advice, the one thing that I've seen from other app teams internally: Do a PoC. It's much better to see your data in the tool than trying to demo it with easy travel or someone else's app. You just don't get the perspective of what they're looking at is some cases. Set it up, kick the tires, and give it a try, and that will win most people over.

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Our deployment model is on-premises.

I would rate this solution as a whole a nine, on a scale from one to 10, with one being the worst and 10 being the best.

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I would rate this solution 9 out of 10.

My advice to those looking to implement this solution is to include Dynatrace in their evaluation and try to understand if the other solutions can have similar results with their footprint. It depends on the environment. If it's mostly a newer environment like microservices and just Kubernetes or that type of environment, they can also have some outputs with Instana. But if it's monolithic and there's old stuff in their environment, they can have some outputs with AppDynamics. 

Dynatrace includes all of the technologies from old to new. They are very powerful. So, I strongly suggest having them in the evaluation period.

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We are partners and implementors.

I'm using the latest version of the solution.

I'd advise others to plan the requirements well and be aware of integrations that could be more complex. Training the operational team well is also important. With a good operation team, you can take advantage of the tool in many ways.

In general, on a scale from one to ten, I would rate the solution at a nine.

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Without a doubt, I'd recommend Dynatrace for business critical applications and anything that's driving revenue.

Biggest lesson learnt: To recognize the most value from the information that Dynatrace provides, you need to make it available to everybody in the DevOps group. There is a wealth of data which can be exposed, manipulated, and consumed by other systems, not just what's visible in Dynatrace. This can also be used for inputs into other upstream platforms.  

Understand the demands within your environment and plan a pipeline, then discuss with Dynatrace. 

We're aware that there are use cases for notifications that can be used for triggering self-healing or autoscaling, but we are not using those yet.

I would rate this solution as a nine (out of 10).

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It is a great platform. We found a lot of value in setting up user session properties and user action properties, then being able to use them to identify individual problems/customers. We use that to sort of streamline the whole process of finding and fixing problems.

Biggest lesson learnt: Customers do not always behave as expected.

I would rate Dynatrace as an eight (out of 10).

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At the moment, I'm using Dynatrace.

More than fifty people use the tool within the company.

I'd tell anyone planning to use Dynatrace for the first time to review the tutorials and check how to analyze data on the tool.

I'm giving Dynatrace a score of eight out of ten because it's not easy to understand the tool entirely if you're a first-time user.

I'm a Dynatrace customer.

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I'm working with Dynatrace. I'm using an older version of the solution.

Within the company, eight people use Dynatrace.

The solution is straightforward to maintain.

Even if I have three and a half years of experience with Dynatrace and a total of eleven years of experience with other APM solutions, my only advice to new users or anyone looking into implementing Dynatrace is that it's a good tool. However, I still need to dig deeper into the solution to give more advice.

My rating for Dynatrace is ten out of ten.

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At this point, we have not yet integrated Dynatrace with our CICD tool, which is Azure DevOps. However, in the future, our plan is to provide post-release measurements and automated rollbacks when necessary. Even further down the road, there's ServiceNow on the roadmap, which we're currently bringing in from an Australian acquisition in order to try and promote the ITSM side of the business.

There is nothing specific that has been implemented so far, although there have been general degrees of automation. When we get Agile, DevOps, and ServiceNow in place, the degree of automation will increase dramatically. For example, automated rollbacks in the case of deployment failure or change management automation through the current state of the target system are being included in the ServiceNow automation.

The automation that has been done to alleviate the effort spent on manual tasks is still very light because I'm the only person doing the work. I generally don't have time to do the ancillary tasks at the moment, such as creating automations. It's mostly a case of deploying instruments, observing, and moving on. When we come back to revisit it, then we'll look at the automations.

My advice for anybody who is looking into implementing Dynatrace is to make sure you talk constantly with your Dynatrace representatives during the PoC, or trial phase because there is invariably far more that Dynatrace can do than you realize. We only know what we know. I'm not suggesting that you let Dynatrace drive but instead, constantly provide the best practices. You will achieve faster returns afterward, whether that's labor savings, or recovery time, or costs from downtime. Basically, you want to make sure that you leverage the expertise of the company.

In summary, this is a very good product but they need to sort out their user interface issues and provide a more logical experience.

I would rate this solution a seven out of ten.

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We we haven't really gotten anywhere near the area of AI and IT's ability to scale up the cloud and monitor performance management issues. Having been through sessions here, at the Perform 2018 conference, that's definitely something we need to be focusing on. We're not using cloud in any way, as an organization, other than things like Dynatrace. AI is definitely on our roadmap, but we're not there yet. It's something that's coming up a lot, and you can actually see the benefit.

Regarding a solution that could provide real answers, and not just the data, the immediate benefit for our team would be time and cost. We're running a website that needs to be there 24/7, and because we're Virgin Money Giving, we deal with quite personal things. People are raising money for good causes, things that are personal to them. So if our website isn't available for any point in time, it can be really quite heartbreaking for people, people can't donate to their cause, or give money to the charity they want to. The whole customer experience is really important, so anything that allows us to prevent problems sooner, and prevent system problems, is right for the customer. And that's important to our brand.

In terms of selecting a vendor, for us, because Virgin Money as an organization has important values, we need to find a vendor that has the same kind of values. I think there needs to be a synergy around what we're wanting to do. 

Also the key thing is support. Sometimes you can have third-party relationships, or vendors that sell you a product and then you don't see them again, and you don't really get the best out of that product. So it needs to be an ongoing relationship, and a genuine partnership. It can't just be a "drop the product over the fence then run off with your money," it needs to be an ongoing relationship.

Also important for us is to help, perhaps, influence the future of the product as well, a genuine partnership.

At the moment I'd say Dynatrace is a 10 out of 10 because I can see the benefit. It's early on in the lifecycle of the product for us, but I can absolutely see the benefit already. I think the thing we do need to do is understand more about the potential. I think we've just scratched the surface. As soon as you switch it on, there is so much information that comes to you, that you're all excited about, all that data. But it's just making sure that you're looking in the right places and doing the right things. At the moment, it's a 10 for me, I absolutely love the product, a year in.

My advice is try it. I think we put it onto an application and, within hours, we had really good powerful data, and we could see problems in the data that needed to be fixed. Trial it on an application and see what happens.

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I am just a customer and an end-user.

I'm using the latest version of the solution. It updates regularly.

I'd rate the solution eight out of ten. I'd advise users to try it out. However, it's more for large-scale companies and not really the best for smaller organizations. 

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I would advise others to fully explore Dynatrace because it is more expensive than other tools. It is important to educate yourself on the solution to fully understand if it is suitable for your business. Not understanding this upfront, could cost you more money in the long term. 

I would rate this solution a five out of ten. 

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The biggest lesson that I have learned from Dynatrace is that application performance monitoring is very complex, but the easiest part of it is the technical aspect. The more complex thing is all the internal company politics around it. We see a lot of data and if you are targeting some people and say, "Hey, your data bridge is going slowly," they will respond to it very defensively. If they have their own monitoring tools, they can say, "Oh no, my database is going very fast. See my screen is green." But we have the insights. It's all data, and gathering the data is the technical aspect. That's easy. But then convincing people and getting people to agree on what is obvious data is far more complex than the technical aspects.

The way to overcome that is talking. Communication is key.

I'm a little bit skeptical about the self-healing. I have heard a lot about it. I have gone through some Dynatrace instances where they have this self-healing prophecy. I think it's difficult to do self-healing. We are not using it in our company. There is a limited range of problems that you can address with it. It's only if you definitely know that this solution will work for this problem. But problems are always different, every time. And if you have specific knowledge that something will work if a particular problem arises, most of the time you can just avoid having the problem. So I'm a little bit skeptical. We are also not using it because we have a lot of governance on our production environment. We cannot immediately change something in production.

We are using dynamic microservices within a Kubernetes environment, but the self-healing is a little bit baked into these microservices. It's a Docker Kubernetes thing, where you have control over how many containers or pods you want to spin up. So you don't need an extra self-healing tool on top of that.

In terms of integrating Dynatrace with our CI/CD and ITSM tools, we are working on both of those directions, but we are not there yet. We have an integration with our ITSM tool in the sense that we are registering incidents from Dynatrace in our ServiceNow. But we are not monitoring it as a component management system.

We are not doing as much as I would want to for these Quality Gates. That can be improved in our company. Dynatrace could help with that, but I would focus on something else like Keptn, or something else that integrates with Dynatrace, to provide that additional functionality. Keptn would be more suitable for that, than the Dynatrace tool itself, but they are closely linked together. For us, that aspect is a work-in-progress.

I would rate Dynatrace a nine out of 10, because it has really added value to my daily business and what I have to do in performance analysis. It can be improved, and I hope it will be improved and updates will be coming. But it's still a very good tool and it's better than other tools that I have seen.

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I’m a big advocate of AI. It seems that AI can join the dots sometimes for us, and that is helpful. Instead of spending the time to think and connect all the dots, AI can do that for us in the future, and can come up with a solution also. That will be nice.

In my previous company I did use siloed monitoring tools. We used HPE BSM, Business Service Management. There were two piece to that. One was infrastructure monitoring, host monitoring such as CPU, memory, using SiteScope. The other was end-user monitoring, synthetic user monitoring. Also, there was a piece called Diagnostics. The challenge was, although the two pieces, synthetic monitoring and the host monitoring, both were agentless, it didn’t give us the real root cause of issues. Diagnostics did but you had to go and install it, and it didn’t perform very well in production.

In terms of one tool, right now I’m seeing Dynatrace can do a lot of things: the entire DevOps, infrastructure, application performance monitoring, all that can be done using just one tool. Now they just released a new feature for log monitoring. I’m really excited to learn about that. If everything can be packaged in one, that would be nice. You wouldn't have to worry about different vendors and patches. And especially, they have a SaaS model. I’m a big advocate of SaaS. My company is not right there but eventually, I hope, when it gets there, I think you’ll see big use of it, and ease of use.

I think from the organization's perspective, probably the most important criteria when selecting a vendor would be the cost, and the tool, obviously. The tool is very important: quality of the tool, reliability, scalability, all those factors weigh in.

My advice would be, from the tool perspective, to look at this tool and its features: ease of use, scalability, and stability-wise this tool stands out. I understand organizations have a pricing factor, a cost factor. That is something you have to decide on. If you want a low-cost tool, there are different tools in the market, or do you want to settle with the best tool in the market but you'll spend a lot more money. Do your research, work with your peers, your leadership, understand which way they want to go. But definitely, as an engineer, I will always say you should go Dynatrace.

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Best APM tool I ever worked with. It has made our lives a lot easier and reduces our troubleshooting time. The QA and Performance team will usually just send a screenshot of the problem from Dynatrace to the developers. This way they don’t have to guess, and they know where to look to fix the problem.

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I would definitely give it a nine out of 10.

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We're a customer.

We tend to use the most up-to-date or stable version of the solution. 

I would recommend Dynatrace as an application performance management tool. It does its job quite well. I am able to see a wide range of the application I'm looking at, and what other applications it is interacting with. We do get quite a lot of information, which allows us to better understand what's going on. I would recommend exploring an IPM tool. I haven't used one of the IPM tools yet. 

I'd be interested to see how it handles a security event or security incident and event management. That is a bit of a gap for me at the moment. I'd love to know if it does that. There are other tools available, however, it is kind of nice to be able to sort of stop in one spot.  

I need to learn more about the tool. I was kind of running up against my limitations with the tool, rather than the limitations of the tool itself.

I'd rate it seven out of ten, simply due to the fact that I still need to explore it more. 

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I started in the PDP program at Dynatrace. That was when they were still Compuware. Then they became Dynatrace, and I went to a different company, now I am at PNC. I have done the exact same thing for several years in different places.

In my current and previous positions, AI is not important when it comes to IT's ability to scale in the cloud and manage performance problems.

The previous company bought it, and they did not even set it up. I onboarded a bunch of apps. So, they were way too fledgling to try to start looking into it. 

What I would use AI for is if it could assist me in saying, "These are your common PurePath patterns." A lot of times in the ending part of an URL, they will have /apps, /data/, then they will put something lie the date or some big custom code. For example, we had one application for tow trucks, which would tell them the URL contained in PurePath, for the actual seven decimal place of the geographic coordinates of that tow truck.

This is not a good way to look at data. If the AI could tell me something about it, just mask it out, or just know this is the same type of data as these other ones and not worry about the extra text part of the piece. That would be the foremost use case for me. After that, I am not sure. 

I would need to use it a lot more to maintain my own trust factor in it before I would want to try to tell somebody that is asking me what the problem is. Just immediately saying AI says this. I do not have a high confidence enough factor in it, because I have never really used it.

If my organization had just one solution that could provide real answers, not just data, it would probably put me out of a job. Most of the time, when I get a ticket, they will ask me what the problem is. I will point out the problem, and it is something which is you need to code this better or you messed up these settings. Therefore, as far as helping me not have those mundane sort of tickets where I don't really want to waste my time with people. It is fine for the first few, but after the thirtieth or fortieth person, you tell them that you wrote this very poorly. It is better to just have some tool tell them that this is probably not the best way to do this.

That would be the initial benefit of the one solution. A part from that though, all I am doing is onboarding. The new Dynatrace already takes care of this. So, I am not really sure what my role would be afterwards. Right now, the APM is siloed off from the development teams. If you are going the full Dynatrace route with AI and getting the opportunity of the AIs already going to tell them what the issue is. Then, the APM team does not really need to exist anymore, apart from doing migrations.

Most important criteria when working with a vendor: That initial pairing of sales versus FTS. If I could reach out to them and get answers within a day, or better yet, within an hour. That is one of the best things because a lot of times that initial conversation can get derailed so quickly. You are not going to get more than five or ten minutes to pitch it to your boss. They are always at meetings. For example, my boss, at my previous place, I would be able to sit with him and talk to him about this thing. Then he would get, maybe, five minutes a week of his bosses level. That is the person who is going to sign the paycheck. 

Therefore, when he goes to a meeting, and it is a week later, he gives the spiel and has it all ironed out. Then, his boss asks him, "What about this?" Now, he does not know the answer, and I can't get the answer, then I need to get somebody on the phone stat to give him an answer. Otherwise, we have to wait another week. That is a big deal for us to have that communication open. 

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I would recommend to give Dynatrace a call if you are looking for an APM solution.

AI is the solution of the future. I say the future but actually right now moving into the future. It is interesting looking at some of the applications using AI to solve problems, like betas, and being able to integrate that with Alexa for things like adding voice control to identify and solve problems. I think going forward it will be the way that IT works.

It would be invaluable to have one solution which would allow you not only to gather data, but to be able to make intelligent solutions based off of that data. It would be industry changing.

Most important criteria when selecting an APM solution: Cost is one of them, but we also needed something that did not just collect data. We needed something that provided a true benefit. If I am going to spend my day focusing on what a user is doing and what is that user's experience like on my website, then I need a application that can go and figure out the things that I am not seeing and what I am missing, so the tool that I am using provides the information right now. What I have seen from Dynatrace is that it takes that to a totally different level.

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When it comes to the nature of digital complexity, the role of AI when it comes to IT's ability to scale in the cloud and manage performance is certainly a big thing going on right now. It's very important to us. I want to make sure that there's not only learning when there are issues, but also that there is taking action automatically to correct it. That's where the intelligence is at, and once you program it in, it knows how to fix the issue and you don't have to troubleshoot and find out what the issue is. That's a big initiative that's going on, it's very important to us, this AI.

In terms of one solution that could provide real answers, as opposed to just data,
any solution that could tell us, definitely, when there's something going on across our organization - not just in one area, one department - something that could tell us from each point when there's a communication such as sign-on; we want to know if it's something with the network, it's something with the area that supports that application, or if it's something on a host server. Something that tells us, all the way across the board what the issue could be. That's what we're driving towards.

I'd rate Dynatrace about a nine out of 10. There are some things that they need them to improve upon, but they are pretty close to the top.

Talk with them, go out and seek, look at all the options you have. Make sure that you talk with your business and discuss what is most important when you're looking to invest toward performance issues. Look at a tool that spans across the company, that can meet multiple areas of needs, not just your own.

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If you are looking to implement it, just go for it.

For cloud, AI has been pretty useful so far when it comes to IT's ability to scale. To manage performance problems, we have not actually used it.

If I had just one solution which could provide real answers, not just data, the immediate benefit would be continuous checks for a lot of hardware. There are a lot of applications, so if Dynatrace could provide this, that would be awesome. 

Most important criteria when selecting a vendor:  

• Performance
• Availability
• Scalability.

The company that I work for is huge, growing every day. So, I think availability and scalability were the primary parameters.

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I would rate this solution a 9 out of 10. It's not a 10 because there are some little things that could be enhanced. Otherwise, the product is great.

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If the price were reduced then we would use this solution again.

For those who are interested in using this product, we would recommend it.

I would rate Dynatrace a nine out of ten.

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Look at your audience. Who is the audience that is going to be consuming your data? If it is going to be primarily developers then you want to be able to push this out through the business, there is no other solution. If you want your developers and people to actually see what is going on inside the code and be able to fix and proactively fix stuff before it happens, this is the solution that you want.

Most important criteria when selecting a vendor: The vendor needs to be very future facing. We jump on technologies. We are a huge company with over 400,000 employees. We jump on new technologies within days or weeks of it coming out. This is not the best strategy in most cases and most larger companies tend to stay away from change. I have been in production environments where we have upgraded and changed the version of one of our most pivotal production servers within two days of it being released from the company. This is not usually the best thing. 

Dynatrace does a good job to make sure they stay out in front of the new technologies. We have had to ratchet back our development teams and tell them, "You need to wait at least a two or three weeks before you jump on the newest version, especially going into production." We know that most technologies inside of Dynatrace that they will move with us to make sure that we are keeping up with our development teams.

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When it comes to the nature of digital complexity, and the role of AI when it comes to IT's ability to scale in the cloud and manage performance problems, I'm not there yet. I wouldn't be able to answer you honestly on that one.

We have used siloed monitoring tools in the past. The challenge associated with them is mainly integrations. We still have plenty of these tools, but the reality of it now is that they all have to talk to each other in order to get more information out of the monitoring. It's not enough to just see an alert, you need to correlate that to an application, you need to correlate that to a business model. And all of that is done only if you can have the tools talking to each other. Unfortunately, most of the time they don't talk well together.

If we had just one solution that could provide real answers, and not just data, the benefit, from a manageability perspective, would be that I could concentrate my workload and my workforce on working with one product, therefore having one expertise. Now, I need to have several people understanding several products and, unfortunately, because they can't be hands-on most of the time, they don't have the expertise, or when they do have the expertise on one product, they can't develop it on the other products. For sure, from a workforce perspective, right there you've got a big advantage.

The main criterion we had for an APM was that we wanted to see an end-to-end view of our business transactions, which is something that we've never had and that the business has been asking for for years. That is the main criterion that pushed us to actually go this route. The first tool that we purchased was really hard to manage, didn't fit the bill that well, and that's when we moved to Dynatrace.

I would definitely say look into Dynatrace. One of the things that really dazzled me was that the minute you installed it you started seeing something coming out of it. and just that makes it so much easier. You don't have to wait. When you have to wait to see the results, it's not good.

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Regarding the nature of digital complexity, I think the role of AI is becoming more critical when it comes to IT's ability to scale in the cloud and manage performance problems. It's because of the complexity and the number of elements that are out there, and being able to completely understand what the problem is. There was a good quote from one of the last keynote presentations here at the Perform 2018 conference: "Let's not chase $500 issues. Using AI allows us to go for those bigger issues," and look for more value, rather than worrying about all the little things that happen. AI would give us the ability to handle that low-level work, very quickly - the auto remediation - get that back up and going. It would buy us time to do higher-level work.

We've used a lot tools at our company, including siloed monitoring tools. Some of the main things we're seeing with them are gaps in the ability to handle emerging technology; things like single-page applications, Angular applications, single sign-on applications, those types of things.

When looking at purchasing an APM solution, we wanted something that was a proven leader. We looked at industry review rankings. Did it support the technologies we develop our applications on? Can it give us that full-stack view into our architecture? Can it tell us what's going on with the customer experience? Those types of things.

If I had a friend looking to adopt an APM solution, I'd really have him take a look at Dynatrace. It's an industry leader. We've had a great experience with them. It meets our needs. They're future-looking. Even though we're not where they are in terms of the capabilities they have, we know we're going to need those capabilities in the future. Great product.

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• The more environments you have on it, the better off you are.
• Make sure to work with the programmers as they understand their application
• Get training on how to use Dynatrace so it can be used effectively
• They have a lot of training resources online

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It's a wonderful product and I would definitely recommend it. I rate this solution eight out of 10. 

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We are an IBM partner and are beginning to work with solutions such as Instana as well. We're also partners with Dynatrace.

In the last three years, we've started to grow our customers and have new use cases. I believe due to the movement towards digital transformation, we have more opportunities to show the benefits of a platform like Dynatrace.

We are using the private and public domain from Dynatrace, however, we have customers and major financial customers who prefer to use either private clouds or a private environment. We believe that it doesn't matter where they are. I'm happy with this model, as we could get faster results in two weeks when we are implementing Dynatrace to our customers. It's faster to implement on the cloud.

I'd rate the solution at a nine out of ten. We've been quite happy with its capabilities overall.

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I would absolutely recommend this solution. There is no better product on the market. 

I love Dynatrace. I might be biased, but I would give it a nine out of ten.

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I would recommend Dynatrace Managed because it has more features, and go straight for the AWS version because it is simpler to manage. It can also be accessed through the browser. 

We previously used the on-premise version, but have switched to the AWS version, which has more features.

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Regarding AI and the ability of IT to scale into the cloud and manage performance problems, we don't have the new technology yet, we don't have the new AI, we have the old AppMon and Synthetics. But it seems like it's very important.

We have used siloed monitoring tools in the past. The university is very old and very segmented and different departments use different tools and we don't all talk to each other. We still have this problem today and we're trying to get more user adoption for Dynatrace. But it's difficult.

If we had just one solution that could provide real answers, and not just data, I think that we would spend less time working on things that probably don't matter, like mundane routine operations.

To me, the most important criteria when working with a vendor is responsiveness to issues.

My advice to colleagues would be, do your homework. But, I would be surprised if anybody would beat Dynatrace.

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I am not much into the area of AI, but I still see it removing some of the non-value added work which we are doing daily, such as sitting and monitoring the server, which is not a value addition. AI is an area where we get somebody to watch it, we get alerts, then we act on them instead of just going through all the locks. Especially IoT side, even though I am on the development side, still we concentrate on AI and IoT, where we see more focus and we just started learning all those things, and implementing them in our company.

If I had a solution which would give me a real answer, not just a data, the immediate benefit would be a global application and support, because we are working in Asia. Sometimes we get incidences during the US morning when we are not at the office. If I can get the benefit of a solution, which can alert us and solve itself. It is an automation thing where we do not want to wake up late at night and work on the application.

Most important criteria when selecting a vendor: A vendor should be reachable at any time.

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When it comes to IT's ability to scale to in a cloud and manage performance problems, now that we are activating more agents of Dynatrace, AI is going to be tremendously helpful to us. 

If I had just one solution that could provide real answers, not just data, the immediate benefit would be the ability to add up more applications into the performance support, then help more applications with the fewer number of resources in our app.

Most important criteria when selecting a vendor: 

1. The sales rep with their technical team coming to see us and giving us a demo is the key. We need to understand exactly what level of depth they have.
2. We need security in place.

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Our clients are enterprise businesses. Dynatrace's integration capabilities are good. I rate it a ten out of ten. 

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Trust what it's doing. Don't question what it's doing. If you don't understand it yet, take the time to try to understand it. Do not implement or force the old ways of monitoring onto a completely different approach, like Dynatrace. That's definitely that the biggest lesson a lot of people in our organization had to go through. 

Be curious and embrace the different approach. It is definitely worth it. The different approach that it does is a good one. It's different but it's something that actually works. Those guys know what they have built and what they are doing.

It is partly integrated with CI/CD. We are operating a platform with our applications, but our customers are responsible for testing and CI/CD deployed into our environments. Internally, some of our teams use it. The majority of our CI/CD deployment is our customers' responsibility, and while we do provide them Dynatrace for CI/CD, we do not control how they integrate it.

We are in the process of rolling out synthetic monitoring at scale to replace other tools. 

We are not yet using session replay, which is mostly due to data compliance restrictions. We have very hard data privacy protections. We do have customers who are highly interested in using the feature, but we are not using it at the moment.

Overall, I would give the solution a clear 10 (out of 10).

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Dynatrace was an incredible find! 

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When I'm looking at AI, the problem identification and anomaly prediction is important. It's good to know, beforehand, when the problem is going to happen. The anomaly detection is the key area, and part of the AI I think.

If we had a solution that gives you an alert that said, "This is your problem, this is how you're going to solve it," that would be really awesome. Pointing out a problem to a specific group is a key point. That would really help, instead of globally alerting everybody, alerting upper management. If before they know it, you can solve the problem that would be nice.

When looking at vendors, we have a key set of requirements. Among them are container health monitoring, flow diagram. Also extension monitoring the non-Java applications, or non-supported applications, because Dynatrace works mostly on the .NET or Java applications. There are applications out there which are non-Java based like PeopleSoft. At least we can see the interaction with those components, but it would be nice to see what's going on inside those external components. That's what I'm looking in future releases, more support for things like PeopleSoft.

I would rate Dynatrace an eight out of 10 compared to other tools. The amount of data it provides is awesome. Other tools work on a sampling methodology but Dynatrace captures all the RAM sessions that are running. It's more data, but they have the filtering options so I can pick the data I want. Capturing all the data gives me more insight into what's going on, I can compare a bad response to a fast response, that type of thing. Capturing all the data is awesome.

I've worked with HPE Diagnostics, I've worked with CA Wily, now I'm doing a PoC with Dynatrace and AppDynamics. Compared to all these products Dynatrace stood out.

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Regarding the role of AI when it comes to IT's ability to scale in the cloud to monitor performance problems, we don't have a product that has AI right now, but that's something that we're really looking at right now. We're in the middle of PoC on the AI, and capabilities that are built within the Dynatrace product are really appealing to us. We're a large company, and we have a lot of applications, a lot of processes, a lot of hosts, and having something that will automatically detect anomalies and tell us when there are problems, without us having to tell the product when to tell us that there are problems, is something that's really appealing. That is certainly one of the features that we like within the Dynatrace product.

If we had one solution that didn't just give us data, but also real answers, the immediate benefit would be not needing either to have to sit there and watch a dashboard, or to go through the efforts of identifying and programming - within the tool - what is considered bad performance. Something that would detect anomalies, deviations, would certainly free up our time, because we would only have to engage when those things occur.

I think the most important criterion when working with a vendor is having people that obviously believe in the product and know the product very well. We've been very fortunate with the contacts that we've worked with. We have a really experienced sales engineer, and really good sales consultants. We look for ongoing engagement with them, and having them want to ensure that we have a success and ongoing success with the product. We want somebody who is really engaged and feels passionate about helping us get to where we want to get to with a solution.

I give AppMon an eight out of 10. With some of the new things that are coming with the Dynatrace product over the AppMon product, there are a lot of things there. With the couple of the stability issues that we've had throughout our tiers of experience, obviously shoring those things up would help make AppMon a 10. I understand they have a new platform and where they're going with that. I also think the new platform also has solved some of the complexity around it. For AppMon, in order to use the rich client especially, I think you have to be somebody who is in there more often than not. It's not necessarily as intuitive as it could be. The web client has certainly helped with that.

Obviously, find a great partner, find a great associate within the company from which you're looking to implement a solution. But then I would say internally, one of the biggest things that has helped us be successful is, we have a cross-business unit, a group of power users - we call it our APM COE group - that really have a vested interest and a passion around driving APM as a culture in our organization. On top of that, they are working very closely together to continue to innovate and support the Dynatrace AppMon environment that we currently have. That same group is working closely together to look at where we see us needing to go in the future. Where is technology driving us? We've got a really good overall pulse on what's going on within our organization, and how to pick the right solution for the right things.

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I would wholeheartedly recommend the platform as it is, but looking for someone who is just getting into it and does not have a lot of experience, Dynatrace 7 seems to be easier to get into than AppMon was before. So, it is a great starting point today.

If I had just one solution which could provide real answers, not just data, the immediate benefit to my team would be two things, and they are both on the business end of what we do. Today, our business customers are very frustrated with the ecosystem that we have in place because there are so many complex components. They really want a solution where they can see what is the actual impact for the people who are trying to use the application. If I am trying to go in and check a balance or trying to buy something, they really want to know how many people are being impacted by that today. Then, what actually is the technical problem behind the scenes, but so often, we have a lot of technical problems, but we have a really hard time prioritizing what those are as a cohesive solution. If our business customers could say, "80,000 people are impacted by incident A, but only 200 people are affected by incident B." This would provide an entire view that would be so much better for trying to prioritize development teams to fix problems, and we don't have this typically today. 

We are in AppMon 6.5 today. We have people on my team who are sort of a tiger team that have to get involved whenever there is a performance problem because there is almost an art form to using AppMon today. What I have seen so far of Dynatrace and the OneAgent today, it removes a lot of the AppMon art form. I see a lot of value in moving to 7.1 later this year. I am very excited to see when some of our teams, who are not as familiar with Dynatrace but know the application, can start using the application more.  Hopefully, it will reduce and back off the need to constantly bring in my Tier 3 team as super experts and help and to maybe focus more on key problems, letting teams deal with things themselves. 

Most important criteria when selecting a vendor: Having a company that has been around for a while and has multiple products that we can leverage cost of scale.

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I would really recommend this product. 

We are not yet using cloud.

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Look at Dynatrace. Having worked with it and recommended it for approximately eight years, it has been a great platform.

The role of AI when it comes to IT's ability to scale in the cloud and manage performance problems is very important. We must embrace the AI overlord. There is a lot of data that comes into Dynatrace, and anything that makes it easier to arrive at the end resolution of a problem is welcome. There is always more analysis that needs to be done, but I think it is important to start using AI to get there more quickly.

If I had just one solution that could provide real answers, not just data, the immediate benefit I would like to see is anything that helps the app team know how to get the answer more quickly and save us time in the middle of the night. 

We get woken up all hours of the night for issues. You would hope that app teams would start to use the tools themselves, when it comes down to it, we know the tool best because we manage it. 

Most important criteria when selecting a vendor: 

The two main things I would say are critical:

1. Obviously, the technology cannot fall behind competitors, but at the same time, they have to remain pretty agile in developing the tool. 
2. They need a large enough support staff where any issues which arise, we get support on them. 

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When it comes to the nature of digital complexity, the role of AI when it comes to IT's ability to scale in the cloud and manage performance problems is absolutely crucial. Last year I spent a large portion of my time doing an investigation into AI capabilities for IT operations, and I evaluated several products in the market space. I found they're all very, very immature, but it's an absolute necessity for us going forward. 

We're a very large bank and we have hundreds of thousands of users, thousands and thousands of applications. When you start scaling up to the cloud with microservices, the sheer volume of data is so massive that human beings can't evaluate it anymore. It's not possible. AI is the only way that we're going to be able to move forward into the future with these types of architectures, and still get the value out of the data that we're recording.

I've definitely used so many siloed monitoring tools in the past. The challenge is when it comes to clustering and high-availability - that type of solutioning where we look at strict node-based siloing and then application based siloing. Even then you're limiting yourself to the purview of what's in that container or what's in that application, and if you're not looking outside of yourself then you're really just looking for a culture of "not me," instead of fostering a culture of this is what it is. Let's work together.

If we had just one solution that could provide real access and not just top line data, I think it would probably free us up in terms of manpower and work hours, to allow us to do more value-add things. If all we're doing is working with top level data, then you have to spend a lot more time digging deeper to find your cause or to find actionable insights into the applications, and that chews up manpower. In this day and age, IT overhead really has become "Let's look at the employee first and cut that first." So, if we need to move in that direction, having something that provides real answers helps us to make that adjustment.

I rate Dynatrace an eight out of 10. I never want to give a perfect score because there's always room for improvement. But it's been a great journey for me and I look forward to many more years with it.

I'd recommend you look at Dynatrace. It's really the only one worth looking at.

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AI is very important with the increased complexity of the IT system. IT is very hard to pinpoint the root issues of a problem with AI. It would help you to analyze the issues and let you get to the root issue faster, because people with experience are rare, and with AI, it helps bridge this gap. 

If I had just one solution that could provide real answers, not just data, the immediate benefit would be using only one tool where you do not have the complexity of managing more tools.

Most important criteria when looking for an APM solution: 

1. I need it to monitor all the different applications. We have a diverse suite of applications, and it needs to support all the different applications. 
2. It has its own stability and is well supported.
3. It needs to be scalable. 

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Use it as fast as you can. List prices are negotiable. You get instant success! View full review »

Over the time that I have used this product, I have worked with several versions. I am now working on the latest one.

The advice that I typically give to my clients is that you shouldn't think that it will do everything. In order to implement it properly, we need to clearly understand what are your specific use cases are, and then work on those.

Use cases can be related to an environment, a technology, or a platform. If it's a cloud-native service, for example, then you won't be able to use Dynatrace because it can't even be installed. You won't get anything out of that. This is an example of how it is not suitable for every situation. The feasibility depends on what you want to use cases are.

I would rate this solution an eight out of ten.

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Dynatrace is really good at keeping some infrastructure details and really good at the application level. I would give this solution a score of ten out of ten.

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There are long term benefits in using the monitoring tool. There is also strategic value added, as is the case of transforming the internal language of the technical teams.

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I would definitely recommend Dynatrace. I would say not to be fearful and embrace it. It is a combination of personal comfort level in your staff, so I would probably recommend you start with a medium to low profile application and just aggressively implement Dynatrace. Once you get accustomed to it, then go with the all-in adoption. 

It is a great product, but your staff and your people, unless you are completely turnkeying it for someone else, they have to understand it. You implement it, and if people don't understand it and use it, then you are really not getting anywhere. That is probably the key part I would make to any recommendation, make sure you train your people or bring in the guardians or use the guardian for six months.

Our technology is constantly evolving. Obviously, the tools like Dynatrace we do hope and expect, frankly, that they will continue to evolve the AI element. I still think there is room in AI technology. Obviously it is getting better all the time. Voice assistant products are obviously the new thing now. So, there are a lot of changes in that technology. My expectation is that we will get way more sophisticated AI alerting and monitoring capability in Dynatrace and we will be happy to embrace it as it becomes available.

If I had just one solution that could provide real answers, not just data, the immediate benefit to my team would be to reduce human interpretation where you have to log on and interpret data. Any automated interpretation on a user's behalf, or operational team, it will be better.

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We discovered the AI capability of Dynatrace previously, and we are willing to go  there, but we haven't gone there yet. We think it's important because right now we have a team of six or seven people working with this, and the AI would allow us to use those people in other tasks, rather than looking for performance issues.

We have used some other monitoring tools in the past and still are right now. We have a lot of them, to give what Dynatrace provides in just one app. That's a challenge because our organization is big. A problem of being big is that deploying a lot of tools is very difficult and it's not the same as deploying only one tool. Deploying only one tool is easier than deploying more than one and keeping up to date with the new versions. With several tools, it's very difficult. For us, that's a key factor of Dynatrace, not only the AppMon but the whole suite gives us a lot of information that, if you want to have it without Dynatrace, you would have to have a lot of tools installed.

The immediate benefit of one solution that would not only give data but real answers, would be time savings.

Our most important criteria for working with a vendor are that they meet our technical requirements and give us support; and support in Spain, and in Spanish, that is very important for us. We like to work with companies that understand us and work with us, who will be partners.

I rate this solution a 10 out of 10 because, as I said, there is no other like this right now. Probably, there are some things that other tools could do, but not everything together.

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Look at Dynatrace. It has helped us by reducing the number of incidents that we have had in the past. It is a robust solution that would help anyone get to the solution and resolution pretty fast.

Most important criteria when selecting a vendor: It came down to a critical component because we have numerous applications with different problems from apps or databases. Before the APM platform for narrowing down the problem became a critical issue, so at this point it was narrowing down and pointing to the exact core component. That was very critical.

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AI's role is very important when it comes to IT's ability to scale it in the cloud and manage performance problems. AI is the next step in our digital transformation initiative. However, we need to do some simplification of the environment before we can do it.

If I had just one solution that could provide real answers, not just data, the immediate benefit would be people will be much happier. When you have a team that is looking at several hundred applications, if they have to visit eight different tools (or eight different dashboards) to get status, then it is cumbersome. Therefore, you want a centralized solution that allows you to integrate with same products, but not just the same products, any product that whether it is Dynatrace, CA, or BMC. If you are able to grab the data from the siloed solutions into a centralized repository or centralized GUI, it makes it simpler for everybody else.

Most important criteria when selecting a vendor: How the vendor works with us, and whether or not they are a partner or just a customer. Just trying to get more dollars out of the customer instead of working to be a partner, and both in helping to implement the tool and supporting it after the implementation.

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If I had just one solution that could provide real answers, not just data, the immediate benefit would be fixing the issues first. It takes a lot of time for us to dig back where the actual issues on the code base are, especially if it is a network or infrastructure-related. To get answers for most of it, we can fix our issues faster on a priority basis.

Most important criteria for selecting a vendor: Show me what I am not seeing. If you ask me, I am an engineer. I do not want to see the eyes on glass all the time. I want a solution which does it for me. I know how to set my thresholds and throttles. For example, if there is an issue, an exception, or a false exception which is coming in, I know my application:

• If it comes 100 times a day, don't worry about it.
• If it comes five times a minute, don't worry about it. That is the business clients calling improperly.
• If it happens 500 times in a five minute timeframe, then send me an alert.

That is the something which I like a lot regarding the synthetics of application performance monitoring. When I am not seeing and I am being called when there is an issue, which I set my own rules, that is a good idea. That is the great thing and a driving factor for having an APM solution. 

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Regarding the role of AI when it comes to IT's ability to scale into the cloud, and monitor performance management issues, the way I look at AI is this. When we started this journey three years back, it was more like problem-solving. We have a problem, and we need to identify the root causes and how do we solve it? That's what it was three years back. 

In three years, a lot of things have changed. Now it's all about, how do you proactively monitor it, and how do you solve it, and then the self-healing techniques and the like. So even without a developer looking into it, how do you solve the problem? That's the big thing I'm seeing from our organization's point of view on AI. The second point is, we are also starting our DevOps initiatives, and then the continuous integration platforms, and continuous delivery platforms. The AI platform, and the new Dynatrace, is becoming a critical value in that as well.

In terms of siloed monitoring tools, our team has not used them, but our enterprise had other application monitoring tools. The challenge with those are that some of them are really concentrating on your networking site, some of them are concentrating on your specific application-oriented issues. You are not able to get one big picture, or a single pane of visibility into every application or every service that's involved in that application. That's where I think this particular solution helped us a lot.

If there is one solution, it reduces the complexity. If you bring one solution, there would be some learning curve to adopting the solution, but in the long run it's going to really help to reduce the complexity. From my team's point of view, they would be able to go much deeper, picture a "T" shape, rather than a horizontal. Otherwise, you would need to learn one tool for this particular technology, or for this application, and another tool to support another application. So if there is one tool, they could go all the way, and there would be a lot of productivity improvement because of that.

As far as selecting a vendor goes, what's important to us are two things. First, are they stable enough. Is the company stable enough to do business with them, because we are a 100-year-old company, so we value the continuity of the business. Second, how visionary are they in their market, in that industry? We don't take too much risk on any evolving technology. We wait until the technology evolves and matures. That's a very critical thing. 

We always look for how strong they are in that industry, how long they are in this industry, what their track record is, and what their future looks like.

My advice is, involve all the stakeholders from day one. Bringing everyone on board from day one, and get everybody onto the same page, what they want from the solution. That is very critical. It takes some time to get it to a maturity level, and then adoption. That means you start adopting it, and then six months down the line, if your business or a different team comes back and says, "This is good, but it's not really making any sense to me," then the whole six months, whatever you invested, has really gone to waste. Or you need to redo things one more time for them.

So I would say, identify all the stakeholders who will be consuming this solution, and then start engaging with them on day one. Even if they are not going to be part of the solution, or consuming these services, from day one, identify all of them and keep them engaged from day one. That will be very critical. We made that mistake and we learned from that.

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If you're not working within real big enterprise environments, then it's a nice tool to implement; however, if you have a huge assignment enterprise, then I think Dynatrace is not suitable and would be expensive.

Overall, on a scale from one to ten, I would give this solution a rating of six.

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We're just a customer.

Only a few of us are using the solution. We're currently evaluating the solution.

I believe we are using the latest version of the solution.

Aside from the pricing, which is quite high, I would recommend the solution.

I'd rate the solution nine out of ten.

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When learning Dynatrace, we brought in Dynatrace people to come onsite and take my team through a week long training. We did that two or three different times. They offered this type of training. They also have online training out on their community that I could set up for my team members. The effectiveness of that training was about 75 percent. 

With AppDynamics, they have provided some online training. The take away from it (from my team) has been maybe 10 to 15 percent. The training is geared more towards sales than using the product for what it was intended. It boasts the features and selling points of the AppDynamics product instead of the ins and outs of how to use it once it has been installed in our environment.

I would definitely recommend Dynatrace. I have the benefit of having used it for so many years. It takes less infrastructure to set it up initially. It's a single agent engine. You just set the agent up and run it, then it configures itself. It goes out and finds all your processes with everything that's running, configuring itself. The simplicity of the infrastructure and simplicity of setting it up, then actually using it, along with setting up your dashboards to monitor your metrics is much better. There are more features than the AppDynamics dashboarding.

I would rate it Dynatrace as a ten out of ten. 

At the point of where we're at with our AppDynamics experience, I would rate it as a five out of ten.

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When it comes to the nature of digital complexity, and the role of AI when it comes to IT's ability to scale in the cloud and manage performance problems, we're not really using the cloud very much, so I can't really say for the cloud piece. But I do think that these transactions are more and more complex, and there's so much data. That's one of the great things about Dynatrace is there's so much data, and it's also one of the most difficult parts about Dynatrace, is there's so much data. So having that AI to bubble things up for you, so that you're not searching for a pin in a haystack is definitely the future, I think, for Dynatrace.

We have used many, many siloed solutions and still do. It's hard to give  those up. The problem is, obviously, everybody is looking at their own silo and looking at their own monitors and, of course, it never looks like it's that silo's problem.

One solution that could provide real answers, and not just data, is really what we're looking for. It takes the guessing out of monitoring and everybody is seeing through the same window. That's what our team is designed to do, come up with answers, not just provide a lot of data. Obviously, we can send out data to folks, but they're not looking for that. They want your opinion of what the problem is, or what the answer is, not just charts and data. So it's very valuable for our team.

The criteria we were looking for when choosing an APM solution were the ability to gather metrics on a lot of different technologies and solutions. I was on more of the technical side. The financial side was kind of smoke and mirrors for me. I just evaluated the technical aspects and was looking for a solution that would give us an entire picture of the transaction.

I would recommend Dynatrace, of course, but I would just mention again, that you have to kind of think about the story that you want to tell. Determine, in advance, the metrics that you're going to want to show over time, for that historical view of data.

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I think AI is the future when it comes to IT's ability to scale in the cloud and manage performance problems, especially with the complexity of the systems and containerization of all the environments. Troubleshooting means increasing headcount or implementing AI solutions and being very smart with what we are doing. 

AI is learning things at this point. I don't know if it's the best. It took a while for AI to understand our applications. The first few weeks there were false positives, and now we are getting into the real issues, troubleshooting, etc.

I have used siloed monitoring tools in the past The challenges involved in them are interrelating outcomes of each tool with other tools; especially log monitoring with infrastructure analysis. That took a bit of time, double effort.

If we had just one solution that could provide real answers, and not just data, we could focus on our strategy initiatives rather than our ops-type of activities, day-to-day. That would be the immediate benefit.

Our most important criteria when selecting a vendor, or working with a vendor,  are 

• stability
• technical knowledge
• industry expertise.

I would say Dynatrace is a nine out of 10. It's, again, the concept of evolution of the tool. What we have right now: fairly decent. There are always new things coming out.

You should at least consider this as a strong contender. The ease of implementing - we were up and running in less than a day, which is pretty impressive.

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Do tests. Do PoCs to make sure that it fits in your environment, because there are a lot of different ways of doing things, and if you find out that it fits your environment, do use it. It is a fantastic tool, but you have to learn how to use it.

The role of AI has become very important when it comes to IT's ability to scale in the cloud and manage performance problems. The more complex digital gets, the more important AI is when it is done right, because it takes less time to do things. It filters through all the garbage, so you do not have to pay somebody to it, and it takes care to do a good job.

If I had just one solution which could provide real answers, not just data, it would affect our team and every team in the world if it was done properly very well. 

Most important criteria when evaluating products:

1. Does it work.
2. Don't listen to the FUD.
3. Make sure it does what you want to do under the load that you want to do it.

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Given the nature of digital complexity, the role of AI when it comes to IT's ability to scale it in the Cloud and manage performance problems is very important because our brain, humans, are only able to compute so many things. AI can take a whole bunch of data and turn that into something that we can create more data out of. We can have several million lines of code and AI can detect if there's anything wrong, without us having to look at it manually.

Regarding siloed monitoring tools, we use infrastructure monitoring tools and application-specific monitoring tools. Getting them in to a single dashboard has been a challenge, because our executives don't want to log in to different tools to view our enterprise, they want to see it in one page. So that's been a problem with those siloed tools.

If there was one solution that provided real answers as opposed to just data, it would help executives who just want one view and just a single page of answers for problems. So that would benefit us greatly.

I would rate it about an eight out of 10. For me, personally, I mentioned it before, it has a high learning curve. They probably did provide a comprehensive training when they first rolled it out, before my time with the tool, so I didn't get a chance to take advantage of that. There are some videos and there is some documentation out there, but it still requires you to delve into the tool to learn it. Because applications are very complex and very different, creating a training video to set up some basic monitoring would probably be a little hard. But a little bit more comprehensive self-paced training would help.

I would suggest you evaluate what you want out of it. It has a load of information and if that's what you want, if you're looking at it from a DevOps standpoint, then Dynatrace is a great tool for DevOps. But if you're looking at it from merely a monitoring standpoint, it might be too much of a tool for that purpose.

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I would rate it a seven out of 10.

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I would recommend it to large enterprise companies. It may be too expensive for smaller businesses.

I would rate Dynatrace a nine out of ten.

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I would recommend this solution. In Georgia, it is already very popular, and many companies are using it for applications and external channels. 

I would rate Dynatrace a nine out of ten.

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Try it. It is a good product.

We have used both the AWS and on-premise versions. They are about the same for us.

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If I had just one solution that could provide real answers, not just data, the immediate benefit for my team would be less resources needed. This would streamline and automate things.

Most important criteria when selecting a vendor: reputation of the vendor. We go read reviews. We also check vendor references and talk to other customers to find out what their experiences have been.

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If we had just one solution that could provide real answers, as opposed to just data, we could spend less time on troubleshooting and trying to figure out what the problem is, and actually do our jobs, which is to design, build, and develop software.

The criteria we look for when adopting an APM solution are ease of use, and does it truly get you down to the problem area - and I believe that Dynatrace does - and the third one, it's true for everyone, is the cost.

I would rate it a nine out of 10. I'm not giving it a 10 yet because I would like to see the Dynatrace product in action and truly want to understand it. If we move to Dynatrace, away from AppMon, are we missing out on something?

My advice would be go with Dynatrace.

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We have used siloed monitoring solutions in the past and there were a lot of events, it was not good. We’re trying to consolidate everything into one. We’re working on tool consolidation. That’s one of the primary plans for our roadmap, for IT.

If we have a solution that provides not just data but real answers about where the problems are, how to fix them, the immediate benefit for our team would be time. We would have time to work on other development efforts, innovation things. It would save a lot of resources as well. That would be the main benefit of it. We’re spending a lot of time to get the answers. With one solution like that, it would be giving us the answers.

What we appreciate most in a vendor is their being more responsive and attending to customer problems; more customer-focused.

I would rate Dynatrace a seven out of 10, because of the issues I mentioned before with technical support.

I would definitely recommend Dynatrace, the new one, with all the new features that are being launched. I think these are not available in other monitoring tools. This is the best one. I would definitely recommend Dynatrace.

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The role of AI is very important, but it is the future. Thus, I am counting on more innovations in the AI space to monitor, not just applications, but an ecosystem from hardware to software. 

If I had one solution that could provide real answers, not just data, the immediate benefit would be more valuable customer engagement. Especially since I am on the customer-facing side of the organization, it would be like if Facebook was down for five minutes, the perception created is exactly the same as the perception created when websites are down, or not performing. It is quite frustrating for customers who do not plan to be there for such a long time but would like their work done faster. Therefore, the solution's immediate benefit should be about customer engagement. 

I actually support Dynatrace a lot. I am a champion inside the organization. 

For Dynatrace, there are other ERP systems other than SAP and Oracle that many companies are struggling to get out of (like mine) but Dynatrace treats them as a black box. Some more details than we usually get with Hybris Commerce, but though maybe not at my level, but a little higher up we need something. Right now, it is just a black box. So, I have been pushing for people whenever I see a Java application or a Darknet application by saying, "Guys, use this."

However, if it is not a Java or Darknet application than there is a huge resistance. They all just default to an infrastructure monitoring application. That is about it, not a software side. That space seems to be unconquered. 

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It is the best solution in the market. I can't believe the people classify it at the same level as the other leaders on Gartner Quadrant. It is way advanced than anything else. You can't find anything that is exactly like this.

I would rate it an eight out of 10 because it is just missing the network management interface integration. I would rate all other solutions that I've seen a six out of 10.

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I would rate Dynatrace a seven out of ten.

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If I had just one solution which could provide real answers as opposed to just data, the benefit to my team would be time savings. We are scrambling all the time to try to figure out when there is a problem. If we could have something else telling us what the problem is, we could spend more time fixing it, providing valuable dashboards. and other valuable monitoring, then have a better proactive monitoring environment. So, it is huge.

The role of AI when it comes to IT's ability to scale in the Cloud and manage performance problems is huge and really important, especially after seeing OneAgent. We will probably be moving to that, then probably be upgrading to version 7. I think that is the direction that the company will be going. They do not say that they are not supporting it, but it is highly encouraged that you jump onboard the OneAgent train.

Most important criteria when selecting an APM solution: Something that was less overhead for us. We were finding with our old tool, which we still support because we are still not off of it, to get the same thing that we get with Dynatrace required more servers and effort on our part to address everything that we wanted to from the performance side. So, there is less infrastructure to support and it is a little more consolidated.

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I don't know that we use too much in the way of AI to scale our production today. We do use Pivotal Cloud Foundry when we do have some auto scaling-up of some of our microservices. But those things, I definitely think are going to become more commonplace, and more part of everything that we do. 

I think the AI stuff is going to help us going forward, because we're breaking apart some of our bigger, monolithic applications, and building our microservices, so there are going to be things that need to scale up, scale down, based on what someone is doing. So I think that AI stuff is really going to drive a lot of that.

Regarding one tool that could provide not only data but real answers, even with PurePath and things like this, it still takes time, a day or whatever - or expert knowledge of some person - to be able to identify a problem quickly. From what I've seen so far, the AI stuff actually gives you at least five, six, different possibilities at worst case. So, just that insight alone would be a big time-saver for everybody.

When working with a vendor, I think it's really important that they're - I don't want to say available - but responsive. And I think with the guardian service we've been using so far from Dynatrace, it's worked pretty well.

I would rate AppMon a seven out of 10. I think at times it has given some folks some headaches from a configuration standpoint, and a maintenance standpoint, but aside from that I don't think they've really had many headaches with it.

Definitely weigh your options. I know there's some availability for proof of concept with Dynatrace, where they actually work with you, whether it's a guardian service or sales. They will work with you to identify the proper solution and setup for you, so I think that's really a good thing, instead of just dropping some software product on your platform.

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I would definitely recommend Dynatrace. Based on my experience, you can do deep dive analysis and find root cause quickly. That is our primary reason for using Dynatrace.

If I had one solution that could provide real answers opposed to just providing data, the immediate benefit would be to find any root cause quickly, such as any application-related issues.

Most important criteria when selecting a vendor: 

• We do not have many licenses, so whenever there is a problem, then only we can enable those agents.
• User-related issues. We want to be able to see, like users, how they are impacted, if there are any problems or issues.

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In terms of AI for monitoring the performance and management in the cloud, I don't know that piece because we're not really involved with AI, as far as I know.

As for one solution that can provide real answers, and not just data surrounding it, to tell you "this problem is right here," we already have that with Dynatrace. The immediate benefit, obviously, is getting the answers immediately.

The most important criteria when selecting a vendor include that the product has to be what we need it to be. But then, also, the support and training would be important, because you could get this fabulous product and then not know how to use it. And then you're throwing money away.

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I rate Dynatrace an eight out of ten.

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Dynatrace is a good product. Some of the things to be considered in Dynatrace are compatibility, support in terms of new technologies, and there are many features that are good in Dynatrace.

They have a good AI correlation but it still requires humans to interpret the data and follow up with the advice of the root cause analysis.

I would rate Dynatrace a nine out of ten.

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Kick the tires. Figure out how it fits your use case.

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I'm excited because I like the AI piece. I want to get rid of the thresholds piece. That's part of the excitement as to where we are going to go, because a lot of the conversation occurs when you have to say, "What's the real threshold based on the applications that we have?" We have over 500 applications, easily. Each one has its own behavior. Then everyone wants to discuss a threshold. Now, I'm thinking, with Dynatrace SaaS, we don't have to do that anymore. Bit it will be awhile before we get there.

AI is really important. We're on-prem right now for hybrid to go to the cloud. So when you have the numbers and trends based on what AI can do, it helps you along the way. I can run reports and see the things that I need that will satisfy my customer, that will make it easier for me. We are looking towards the cloud, we do have applications up there. It becomes a sizing issue, as far as what do you need, because you have to pay to be in the cloud. So AI is really important because it will not only help us troubleshoot, it will actually predict some of the things we need to help us get there. I can't put a number on the importance of AI right now.

It's going to change a lot of analysis and things that you have to do. The one thing I would like to see is what's involved in setting up the AI. Because I'm excited about it, I want to see what's involved in setting it up, and see that component.

Regarding siloed monitoring tools, portability is one of the challenges. Siloed monitoring tools make it really hard to port out to other places. You get data, but you can't necessarily use it as far as fitting it into other areas. That's the problem with siloed monitoring tools. If you're good for that scope then you're okay, but when it's time to go beyond that scope... Going enterprise-wide is important. So, where siloed monitoring tools were okay at the time, they're just not keeping up what's going on now. The monitoring field is evolving. It's more than about just monitoring. Monitoring is one thing, alerting is another thing. But the AI part puts it together, makes it easier, not only for you to do your job, but the self-healing piece that goes with it. That's really exciting, when things can self-heal and then just report on it. That makes life a lot easier.

If we had just one solution that could provide real answers, and not just data, the benefit would depend on how you look at a benefit. First of all, we would be more efficient. However, I'm not sure if it would help from a resource standpoint, because then I'm not going to need all those resources, if I have a tool that's going to do everything I need. But, it would help in the sense that, if I can resolve something like that, and things fall into place. That would greatly help. And not only that, then I could just depend one tool. Right now, people look at a solution as, "I need a tool for this, and a tool for that." But if I can move towards one tool that will provide me everything I need, then that would be great.

Our most important criteria when working or selecting a vendor: Of course, there's always cost. Stability is another. The amount of time they have been in the market. Then we do a PoC and see if they can meet the use cases that we have. We have a standard, some 125 use cases that we put out there. We see they perform based on those use cases. It's completely agnostic. I don't care who the vendor is. Can they meet my use cases? Do they have stability? Do they have the reputation? And then we negotiate cost.

Right now, the solution we have in place, I would give it about an eight out of 10. Things are changing, technology needs to change. It's been doing a job, but I mentioned the things I asked for. I'm looking for more, so that's probably why an eight. It's doing the job, but I'm looking for it to go further. 

They have a new product that's going to go further, so that's how we do it. Now, the new solution, I'm not sure how we're rating it yet. I have to see what it's going to do. 

But would I recommend it? Yes. Because we have the experience, it has done this and this for me. Can I depend on it? Yes.

If a colleague at another company was looking to implement a similar solution I would need to know they were looking for before I could advise them. I would tell them from my perspective, this is what the tool has done for us. If they ask me the questions, I'll tell them exactly what I think. At this point, would you recommend this solution? Sure, because it does this for me. If you're looking into looking at code, at that part, yes it does that for me. If you're looking for monitoring, yes it does that for me. I would recommend it. 

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If you are looking to implement something right now, look for any technology like Dynatrace OneAgent, which basically removes all the manual work like tagging each process. Therefore, if you have any technology that can just sit on an operating system level and view all the processes running in that operating system, that would be fantastic.

If I had just one solution which could provide real answers, not just data, the immediate benefit to my team would be quick resolution. This way we would know what exactly the problem is and we could later find out how it went wrong, but the best thing would be the quick resolution.

Most important criteria when selecting a vendor: They have quick support and how willing are they to accommodate any of our requirements or needs. Also, can they get either PoCs or sale orders quickly to us. So, just have action in time.

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If you had just one solution that could provide real answers, not just data, the immediate benefit would be time. Everybody would have more time to do something; get things done a lot faster and go out on the golf course and play golf.

Most important criteria when selecting a vendor: With this vendor, the most important piece was the amount of training which is available. There are so many YouTube videos. The website has so much to offer. None of the other APM tools had anything close to it, so that was our number one criteria.

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With siloed monitoring, which we have used, you don't get a holistic picture of what's going on, so analysis is very intensive.

If there was just one tool, obviously there would be a lot of benefit there. We would only need to learn one thing, everybody would be looking at the same data. Everything becomes more streamlined.

The most important criterion when selecting a vendor is that their product does what it says it's going to do. Gives us visibility.

If I were to advise a colleague at another company who is researching this or a similar solution, I would tell them to do their due diligence, look at the product hard, and make sure they size the product.

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My advice would be to try it before you buy it. I would rate it a strong eight out of 10.

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I rate Dynatrace a nine out of ten. I would definitely recommend Dynatrace, especially if the customer has a big budget. An enterprise company should purchase Dynatrace, even when compared to other APM solutions like New Relic. 

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It is a very useful product. 

Depending on your use case, try all the solutions out, then figure out which one is best.

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Make sure that you understand the scope before you start looking at application monitoring. Understand your environment.

Most important criteria when selecting a vendor:

1. They must have support in our country, so we may be able to contact them locally. 
2. They must be able to fit to our functional requirements up to 80% or better. 
3. They must be able to fit into the space that we operate in, which is the tertiary educational space. 
4. They must be able to integrate with our current systems, as much as possible.

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The role of AI, when it comes to IT's ability to scale in the cloud and manage performance comes in when the complexity increases, because your stacks are high, so human intervention would be really difficult. That's the reason we need AI power. Dynatrace has that capability and we want to use it. So looking to the future, AI and analysis will help us.

We have used siloed monitoring tools in the past. The biggest challenge is that we don't actually have one view. Let's say a new application is launched or different tools, they have a particular focus for a particular problem solution. But when you don't have a major overview, one view, it is very difficult to find the solution. So Dynatrace helps in that we can easily get one view, correlate, and everything will be one single pane.

If we had just one solution that could provide real answers, and not just data, the way DevOps is going on, we would probably want to adopt that solution. It would really help us regarding the cultural change of DevOps; the tool would help bring us to that level.

Our most important criteria when selecting a vendor are, first, do they meet our requirements. Second, whether they have the right support for us, when we have a problem can they immediately eliminate it for us. They need to understand us and to have the skill set to remediate those things.

I would rate it a nine out of 10. There have been some improvement announcements, but overall they are doing a great job.

I would recommend Dynatrace to colleagues.

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When it comes to the nature of digital complexity, and IT's ability to scale in the cloud and manage performance problems, I think moving to the cloud is very agile and provides scalability. Right now, we're using AppMon which doesn't have the AI feature. That's why we're interested in upgrading to the new Dynatrace product, which has the AI feature and scalability.

If we had just one solution that could provide real answers, as opposed to just data, there would be a lot of benefit. If somehow the new Dynatrace product - the AI engine that tells you where the problem is - would tell us where the problem is and bring it down to the pinpoint, to the root cause, so we don't have to spend time looking into it, or the developer team doesn't have to manually look into it, that would be good because those actions require time.

When we were selecting a new APM solution, the criterion of our company was performance. The performance team, they mainly use this tool to test how load capacity runs. So they are mainly testing for the performance stability of the application.

I would say that if you haven't used AppMon before, then just go and order Dynatrace, instead of going to AppMon and then transitioning.

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Go for it. Implement the solution.

They want everything in technology to be self-learning, so AI is the future. It is not just somebody who has to be enlisting for time to debug an issue, rather AI will help out at that critical point as to what the solution could be.

Most important criteria when selecting a vendor: An APM solution has to be simple. We were actually evaluating other products at that point of time. One thing was the deeper insights that it could give. I should be able to pinpoint the issue and see the details. Dynatrace provides that and no other solution was giving any comparable. On top of that, we can't move over to the cloud, so we did not go with any cloud-based solutions. We wanted to have total control, so that was a requirement of the solution, too. 

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Look at Dynatrace for these very reasons: the security gateways, the ability to scale sideways, and the ability to identify more internal applications. Do not rely as New Relic did on third-party implementations of just plug-ins. Dynatrace does the plug-ins natively, usually. 

Never go with one solution. For the same reason that you do collaborative work, it is better to have different opinions.

Most important criteria when selecting a vendor:

• It has to cover the platforms that we run in the company.
• It has to be an established company that is not too flaky. It has to show an engineering pre-sale staff that is competent. Then, it has to work within our secure environment.

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In terms of AI, when it comes to IT's ability to scale in the cloud and manage performance problems, we don't have a cloud implementation yet. But, in general, what I've seen with AI, I think they're learning. The self-healing thing was really impressive in terms of, if you have a problem, what do you do about it? You get notified automatically. Then how do you fix it? Those are some of the things with AI that I thought were pretty cool.

If there was one solution that could not only provide data but real answers, the immediate benefit of that for our team would be huge. Not just telling us, "Here's the data" - there's so much data out there - but what do you make of it? What's the critical data? I guess that's where Dynatrace is headed with AI and the self-healing. That would be huge. If they can say, "Hey, here's your problem. Here's what you need to do to fix the problem." That would be significant. 

I think the solution meets our needs where it is, so from that perspective, it's a nine out of 10.

The most important criteria when working with a vendor or selecting a vendor are customer service and what type of product offerings they have. Do they see the vision of the future in terms of cloud and those kinds of things? Those are some of the things we consider very important.

To a colleague who is looking into this type of solution, I would say we have had a really good experience. If they're in a similar situation, try it out. Do a proof concept. Try it out and see if it's good for you. It may or may not be a good fit. Everybody's different. Try it out.

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I think is role of AI when it comes to IT's ability to scale in the cloud and manage performance problems is a big game changer. That's one of the reasons that we're looking at moving a lot of our stuff from the legacy AppMon over to the Managed platforms, so we can take advantage of that and get rid of some of our more archaic event management, event lifecycle, alerting-type platforms. A lot of that stuff doesn't add the value that it should. So we are looking at the AI engine and the anomaly detection to basically replace a lot of that manual effort.

These archaic solutions are all siloed monitoring tools. That's one of the things I presented on here at the Perform 2018 conference yesterday, about all the data silos across all the old platforms, and being able to pull them together into Dynatrace so you can get that single pane of glass. The siloed solutions all had their own purposes, but the data was not inter-relatable. You'd have OS monitoring tools, and even AppMon, DC RUM, Synthetics; they all have great data, but they're not tied together.

The immediate benefit of just one solution that could provide real answers, and not just data, would be you could look at it in one spot. Even one of our groups that came to us a couple weeks ago said, "Oh yeah, we are going to do a new native mobile app and we're going to use this piece of freeware from Google and this piece of freeware from there." And I said, "Okay, so how are you going to pull that all together?" And they said, "Well, you can look here, and then look it up there..."  And when I said, "Why? We already have a solution that does that," they said, "But, they're free tools", and I said, "Yeah, free necessarily isn't always the best option."

In terms of vendor selection, I think one of the key things with Dynatrace is that they are very open to influence on product development side. So, we've influenced them fairly heavily on development and capabilities for Citrix and DC RUM. They've given us integration and support components around some odd technologies that we've got, and they have always been very open and accommodating to going after and developing capabilities around the stuff that we are looking for, which has been good.

I rate it an eight out of 10. I don't know if it could ever get to a 10 because there are always going be anomalies and idiosyncrasies that, commercially, it doesn't make sense for them to cater to everything. There is stuff that I'd like it to be able to do but commercially it just doesn't make sense. But, at the same time, they are evolving into things that need to happen as technology advances.

In terms of advice to someone who is research this type of solution, I get pulled on from the Dynatrace Accounts team regularly to do those sorts of conversations. I'm a pretty firm believer in the products and what they can do. I highly recommend them to anyone who is looking at them. I've used the competitive - or non-competitive - products that are out there, so it's pretty clear for me as far as why it's the right choice. I'm happy to have those conversations with them to take them down that path and let them understand the why's and what decisions they should make.

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I think our complexity is increased by the fact that we use a lot of custom, off the shelf, or COTS, applications, as well as in-house applications. So that introduces a high complexity of different technologies. Having a tool that can be self-injected into all of these is one thing. And the second thing is the fact that it gets deployed at the host level, without having to go tweak application containers. That reduces complexity and the time to value a lot.

We still have some siloed monitoring tools but they don't have any awareness of other components that might make up that application's delivery chain.

If we had just one solution that could provide a real answer and not just data, at the company level it would definitely reduce a lot of the downtime. That would be key for our company, especially since we're in the manufacturing environment and deal with very strict SLAs with our customers.

Our most important criteria when working with a vendor are 

• their willingness to understand the needs of our company
• the responsiveness to technical questions
• the availability during a PoC, so that we can address outstanding items.

I definitely rate this solution a 10 out of 10, because it's a very mature product, and due to the quality of support.

Make sure they understand what you're going to use the tool for, and do a PoC and you will be amazed at how fast you get value from it. 

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Dynatrace is pretty good as they are the market leaders.

We started with the on-premise version. Now, we are moving onto the AWS version. From the perspective of analyzing Dynatrace, it was able to do the EMI for all our data services. It has worked out well. We have been happy with it.

It can monitor your entire infrastructure on AWS. I don't see an option why you should not use this product. If you don't have AWS as a requirement, then maybe re-evaluate. Otherwise, I am confident in the product.

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I would advise a colleague or friend to use Dynatrace.

The most important criteria when selecting a vendor:

• PurePath
• Ease of use
• The dashboard
• Having the metrics easily understood and easily articulating the information.

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When it comes to the nature of digital complexity I think the role of AI, when it comes to IT's ability to stay natural and manage performance, is very important. The AI of Dynatrace is really excellent. It would be very difficult without Dynatrace AI, so I think it's very important.

I would definitely say go with Dynatrace. I also like Dynatrace because of their integration with other products like ServiceNow. It's very good. And again, working with SAP HANA it's very good so. So, overall I recommend Dynatrace.

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Make sure your application team or the development team is going to use the tool. If your application or development team is not going to get any benefit in the sense of not being involved in this particular APM monitoring, then the benefit will be less. For example, if you implemented a solution and your monitoring team is using it, then to achieve the full-fledge benefit, your application development team should use it, because during the development itself they will see that these are the challenges we are facing. They will fix the problems during the development instead of in testing.

This will save time for any application for release, because the development team will fix the problems before the release of anything. This is the foremost thing that they need to consider whenever they are going for the solution.

The other thing is an organizational point of view. You need to have some center of excellence, which will be dedicated for the APM. It is not okay for some part-time people to just be looking on. There has to be a dedicated team if you have this tool in your organization.

Only then you will get whatever you are expecting out of this tool.

AI's playing the key role in the way all the monitoring solutions are going now. They are computing all this information which is available and providing information it for human beings to try to solve problems.

The AI is playing a key role otherwise just imagine. Previously, you would need to analyze all the logs for an error and coming out with the solution would take hours. Nowadays, because of the AI, the log analysis and everything has been done in backing. You can use your experience logic, take that information, and solve the problem.

If I had just one solution that could provide real answers, not just data, the immediate benefit would be time to resolve issues that would be useful for the team. To solve the problem for the end user, because from his point of view, the problem should be resolved quickly. So, this is definitely an advantage for the end user as it is for the team.

Support team could use the information and will be able to pinpoint the issue, who the user is, and where their location is. When we have these issues with this technology, the issues will be resolved more quickly because you have the information regarding what went wrong, what is the error, and what stage the problem is at.

Most important criteria when selecting a vendor: What is their market share? Where are they standing? Are they a leader or they just initially starting? Because based on the customer's budget, if they want to sell out or work with a type of market leader's solution, then we will definitely look at that particular area.

However, there are some company that might not want to sell out. We see this in some companies, which are in their startup faze. The investment will be minimal, but the challenge is that you won't be able to get the features that other companies at the top are offering.

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In terms of AI, I love the base-lining Dynatrace provides us. It baselines the application over a seven-day period; we have it at the default of seven days. The artificial intelligence is so amazing because it can automatically track each transaction and their response times: how much CPU they use, how much memory, resources that they use. If there’s any deviation from that Dynatrace will tell me like right away. If there’s a deployment and the deployment has increased response time or is taking up CPU or has caused a memory leak, I can say, “Hey guys, you need to look at this, it’s this function on this page in this microservice, in this docker container. You need to go here, you need to fix it, it’s not going live.” It has just increased our productivity off the charts.

We were using siloed monitoring tools before this. The challenge with them is simply the silos themselves. We had separate database monitors, we had separate service monitors. We have a project called Apogee, it’s a routing-type technology. It had its own monitoring. And then we had separate monitoring for the front-end, separate monitoring for the mobile apps. Now, with Dynatrace we have consolidated all that monitoring into one central location.

Regarding one solution that could provide real answers, not just data, we’re already using it now. Like I said, we’re monitoring our SQL databases, we’re monitoring our microservices infrastructure, we’re monitoring our front-end we’re monitoring our mobile apps. It has increased our productivity, we’ve been able to optimize all of our applications. As a matter of fact, I just got a call from our VP because there’s a specific project for the mobile app that we’ve implemented this in. Now, he wants to put it in the rest of the enterprise. Based on what we’ve done for the mobile app project, he wants to roll it out to the entire enterprise.

The most important criterion when selecting a vendor is, are they going to answer my call, because I’m very engaged. If I call you it’s because I have a question. I’m not going to call you unless I absolutely need to, which means that when I call you, you had better either answer the phone or call me back. I am very big on that. Like I said, Jeff has been fantastic, Dave is our sales manager, Chuck Billups is our customer success manager. Between the three of them, if I have an issue, within 15 to 20 minutes I have an answer.

In terms of advice, make sure you know your infrastructure. Make sure you know your applications. So often in the IT industry we see people who say, "Yeah, I’m an architect, I’m a senior engineer. I’m a senior developer." Then, if you ask them, "Okay, what’s the service workflow of this service?" or "What’s the workflow of this application?" or "What’s the workflow from this server to that server?" They can’t tell you. You absolutely have to know those things in order to be able to implement Dynatrace successfully.

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Definitely implement the solution because I can see the Dynatrace team is working with all the customer requirements. I am hoping to have a better solution by the end of the year.

The importance of the role of AI when it comes to IT's ability to scale in their cloud and manage performance problems:

1. AI is not the 100% solution for all organizations.
2. It is the common quick solution for all the apps. 

If anybody is interested in doing more real analysis and baselining in AI, it really does not work out. I need my SLA for my set of transactions. I do not need somebody telling me and defining that this is your application solely. So, it is good and bad for the solution.

If I had just one solution which could provide real answers, not just data, I would need Dynatrace Managed to be my back-end and I would want AppMon to be the front-end. Basically, I am relying on both the products to fit my exact solution.

Most important criteria when selecting a vendor: I am a supporting person, not the decision maker, but my review is definitely considered and valuable. I am the APM architect in my group with middleware background, which has knowledge on all the moving parts in web application technology, not just monitoring.

Support is the first criteria, because that is the lone factor after purchasing the product. Features, while I am not 100% happy with this, with all the technology and the innovation, Dynatrace has already met this target, but the support is missing. So, the vendor, in my view, as an active technician, needs better support. From a management standpoint, it is the other way around. Also, there is licensing and costs.

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Regarding the importance of the role of AI when it comes to IT's ability to scale in the cloud and manage performance problems, I believe that's the future, the correct direction that we're heading in. We're not in the cloud yet.

We've used siloed monitoring tools in the past. The challenge with that is that one person has all the knowledge, and then when they leave, you're left with nothing. Also, those tools are high-maintenance and there's a lot more manpower going into them.

If there was just one solution that could provide real answers and not just data, so it would tell you, "This is the problem. This is how you would solve it," the immediate benefit for our team would be helping diagnose issues quicker. Self-healing would be ideal.

My most important criteria when selecting a vendor are that it has to be scalable, and I appreciate the forums.

Keep your options open, but Dynatrace is one of the major companies that can resolve your issues.

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Most important criteria when selecting a vendor: 

1. The capability that tool is providing. That is the most important thing, because if the tool is not providing what we need, we do not need the tool. 
2. The pricing. It should fit into our budget, because if the tool is providing everything and we don't have money to spend on it, that won't work.
3. The support. If we are not getting the support from the vendor, then it is useless. We spend the money, and they advertise that that tool provides everything. However, if I am not getting support, then I won't be able to use the tool properly. 

These three things are the most important criteria that help us decide which vendors to pursue.

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It loses points in value because we’re not getting our money’s worth. I think New Relic Synthetics will be significantly less. I also feel like it’s an older company and isn't as forward-leaning. For example, New Relic has more capabilities that Dynatrace doesn’t cover. Because once on New Relic, I can use other products.

I'd advise that you think about your use cases and who you’d be notifying. If you think about those two pieces, then you can determine which product to get. Look at some of the other vendors that offer synthetics and see if they might be a better fit.

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Anyone looking to implement this tool needs to take a 360 degree approach. If you take that approach then everything will be easier because you can see all the stakeholders and the value that the tool can give. If you approach it from only one angle, such as from the developer or operations perspective, then it would be very difficult to get an idea of all the features that the products has. This tool is very complete, but the price can become a bottleneck for some.

I would rate this solution an eight out of 10. 

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Since you cannot manage what you cannot measure, I do give the most importance to data quality. This is priceless. If you manage based on bad or incomplete data, you are leaping into the bad decisions direction.

The return might just be immediate. You install it and after minutes you are getting the full data in. The other day I compared Dynatrace to another APM solution, and the other person had been struggling nine months to get the data out. When he saw what Dynatrace did out-of-the-box, he simply could not believe it.

Finally, be prepared to be surprised! It is very fast pace. The Session Replay and the Augmented Reality are just two recent examples. Almost every day I get some new perspective in this field, like AIOps, and it just keeps getting faster! 

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Regarding the role of AI, when it comes to IT's ability to scale in the cloud and manage performance problems, I haven't used the new Dynatrace tool, but as far as I know it can pinpoint the problem with AI. Based on the basin of data which they're collecting, it makes it much more that the developers can see where the problems are faster, rather than waiting for perf testing to be completed. I think it makes developers much more productive. They can see the problems right away, rather than waiting until they happen in production.

In terms of siloed monitoring tools, we used ITCAM before. We had a lot of pain points. It captured only 2% of the data, and we had to run a lot of workloads, change the config, and run the workloads. We spent a lot of time, wasting our human resources time. When we picked Dynatrace, it was a much faster turnaround.

If we had just one solution that would provide real answers, and not just data, the benefit would be - in most products, the tools are fragmented. If there were a tool which could give the full picture on the screen, the full stack, and give away the pain points, that would make it easier for any perf-engineer or developer to see easily. That's where I think Dynatrace is farther ahead in the game, in the APM space. There are other tools in the space, but I think Dynatrace is the only one that captures 100% of the data.

Also, I think they have good integration. Yesterday, here at the Perfrom 2018 conference, I saw xMatters integration where, when there's a problem, it can kick out a message to the whomever it is, with xMatters.

Our most important criteria when selecting a vendor include

• product
• ease of use
• pricing
• features.

I give it a nine out of 10 because, as I said previously, I'm looking for more features, like getting data out of the JavaScript tags. That would make it much more usable.

But I would recommend the product.

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Once the engine of AI is properly trained with sufficient amounts of data, it is going to be very critical for IT and it will be helpful and suggestive for the users. The only fear is that stage where it is trained, but not sufficiently, it will be very annoying. This is because it might pull up error messages, often times irrelevant. However, the concept of AI is going to be the future. 

If I had one solution that could provide real answers, not just data, the immediate benefit would be that it would solve our problems much sooner.

Most important criteria when selecting a vendor: The baseline is when a user comes in, we want to know everything he does in our landscape. It does not matter whether it is two applications or 10 applications in our landscape. We want to be able to follow exactly they do. 

That was the baseline we needed and Dynatrace fitted it pretty good, except there are some legacy applications, which Dynatrace doesn't support. Still, those are made as black box code. The bottom line is the traceability of any user. If something goes wrong, we should be able to pinpoint where exactly things go wrong. 

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The customer that we are using the product for is extremely pleased with the reports and detail of information that they are receiving on-line, 24x7. View full review »

Try it out. They are other tools on the market, but with this one, the graphical interface is what I like the best. If that is what you really want, definitely go for it.

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Do some research. There are a lot of tools out there with a lot of features, which people have bought into it. Make sure to get the right tool for the job. When you do bring a tool on, take it for a trial run first, then see if it is giving you the value which you are looking for.

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It is perfect for application monitoring.

The integration and configuration of this product on the AWS environment is good. We are using the on-premise and the AWS versions, which are pretty much the same.

I work with a product called Rancher, which integrates really well.

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I would definitely recommend this solution, because it has all of the new features coming with Dynatrace OneAgent. It will be awesome for any client or company. 

If I had just one solution which could provide real answers, not just data, and benefit my team, it would be one solution where you can get all the data stating this is the root cause and this is the solution. That would be awesome.  

AI will definitely play a bigger role when it comes to IT's ability to scale in the cloud and manage performance problems. ZSA will need to predict things like rolling insights to the client on the sales and marketing front.

Most important criteria when selecting a vendor: 

• Ease of use
• Enough documentation
• Strong community. 

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My role as solution architect is twofold. One is designing the actual system, but my background is DevOps and my main day-to-day role at the moment is very heavily DevOps-focused. I'm also involved on the practical side, putting in all the automation, that automation platform. To have a tool like Dynatrace, where I don't have to work out for hours how to configure and set up alerts and monitoring - especially in a solution that is not completed yet - it's not only a major time-saver, but I know going forward that it will be able to learn how the system operates. So we don't have to spend time doing that. Day one, we're getting all of that stuff for free, out-of-the-box.

I would rate it a nine out of 10. Not only is it a great product now, but I can just see from their vision and what they're trying to achieve, I'm really excited about the direction it's going. It's a great product.

First of all, if you don't do it, you're flying blind, so do it immediately. 

The other thing I want to say is you need to make sure that your organization, from a maturity point of view, is mature enough to adopt it. So if you're going to put in a tool, and if it's just going to be another tool that's sitting there... To really get the benefit out of it, you need to be in that sort of Agile, lean, innovative mindset. Dynatrace enables that feedback, so you get that quick feedback from ops into development into business, and the benefit you get from DevOps is to be able to react quickly to that information. But your organization, your business, especially, needs to enable that rapid feedback. Your business needs to be set up to be able to use that information and share it.

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We have strongly evangelise to go ahead with Dynatrace OneAgent because we have reaped the benefits within the last six months. We have seen what Dynatrace can do and because of ease of use, SaaS based, you don't have to worry anything (everything is taken care of by Dynatrace), and the AI, the technology feature, functionality. We strongly recommend other customers to go with this product.

Most important criteria when selecting a vendor: We look into innovation. We look into the new feature functionality regarding what is coming. The Dynatrace platform comes with new releases every week. Every week they do an update, and every update is not just a normal update, it comes with a very strong feature, which is actually useful for the application's users. This makes them ahead of the technology. 

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What we have seen in the last two or three years is the technology space has been continuously changing and new features are being added. What we realized in the last quarter was, we should have a better way of identifying in production, end-users' scenarios using artificial intelligence. Since our alpha, we are excluding thousands of test scenarios. Better to run focused test scenarios based on artificial intelligence and our log analysis, and focus our energy on testing the key scenarios that have been performed by end-users. I think that is a new space where we need intelligent solutions like artificial intelligence.

The problem with the siloed monitoring tools was you could not save the past or the story of your test results, and it needed a lot of setup. You needed to work with so many tools and it didn't provide all the key features that we were looking for. Maybe it is good for one thing, maybe just plain CPU and memory. If I need holistic metrics, that's missing in the siloed monitoring tools.

If we had just one solution that could provide real analysis, as opposed to just data, that would be fantastic. We would not need to find so many different tools and capture all the individual bits and pieces of the data. It would be faster and more meaningful.

When picking an APM solution, it should be able to support all heterogeneous applications: it can be mainframe, it can be integration, it can be Java, .NET. The tool should be able to support a wide range of applications. And it should be scalable. As we add more applications, it should not see any slowness issues. It should be easy to use. There are so many folks in the performance team, the ops team, so it should be easy to use.

I can definitely say use Dynatrace, but I would say evaluate what, in terms of space, you are looking into and make you are able to support it fully. Make sure you evaluate all the technical criteria you are setting up, based on the workspace.

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When it comes to the nature of digital complexity, I personally think AI plays a pretty wide role when it comes to IT's ability to scale in the cloud and to manage performance of product. As we have more and more data in our systems, getting more complex, going into the cloud, we will need to rely on AI in certain aspects of the decision-making. There will still always be a human aspect, in my opinion. But AI will assist with a lot of trivial or not mission-critical type tasks.

I have used siloed solutions at other organizations. Honestly, I don't recall a lot of the details, but in general they did not have a great interface. The information wasn't easy to use when troubleshooting issues in production. They didn't have as many good integrations with other products and tools, so a combination those were the challenges with them.

If there was just one solution that could provide real analysis as opposed to just data, I think that would really tell us what we need to work on and help us prioritize, and not have an ocean of issues. We could focus on the ones our customers are more impacted by. It would be pretty good to take care of them. And the other part would be, it would help us get into consumer insight and help us build our product roadmap, accordingly. We could learn from the customer and then act on that learning.

When looking at vendors, one of the things we look for is the least amount of setup. That's the number one. You don't want to have to invest in a lot of configuration and coding to enable the product. The other thing is, what kind of user interface does it have and how good is the troubleshooting tool. A lot of monitoring will tell you there's a problem, but won't really tell you how to solve it. And third is innovation, because technology is changing so rapidly and a monitoring tool needs to be up-to-date. So it's important that we will continue to be able to monitor and do stuff that's coming out.

Definitely start with a program in mind and know how you measure success, and adoption of really any tool, whether a monitoring tool or not. That's really how you get buy-in from all the right stakeholders, you get the right training in place upfront, versus, setting it up and then struggling to plug in everybody, to get on it and show the value of it . So I would think having a program or a better plan upfront helps.

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Do a PoC of all of the competitors. Do not go off the sales pitch. Once you see Dynatrace in action, it really has some shining elements that the competitors are missing. They all have, to a certain point, the same functionality. Though, what I see in Dynatrace's new AI stuff really comes into play and it out shines its competitors. 

The role of AI when it comes to IT's ability to scale in the cloud and manage performance problems is invaluable. The amount of data coming at us these days is overwhelming. I started in a network team with three people, one server, and 100 users. That was manageable. 

In today's world, we support 2500 users, WAN/LAN, and applications which are becoming increasingly cross-platform and integrated. Therefore, you need artificial intelligence to help with it. 

I do not think there is one solution for one company. You pick your top tools and have them work together. For instance, you have a tool that monitors your storage and your infrastructure. You have that same tool in Dynatrace that monitors your apps, but those two talk to one another. So, when we see that blip in storage, then we see the effect over in Dynatrace because it just ran out of space. I don't believe in one tool, you pick your top tools and have them talk.

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I rate Dynatrace a ten out of ten.

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It functions well. We are getting good support. It gives us everything that we were looking from it.

We use the on-premise version and have just begun onboarding the AWS version. 

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I don't have any personal experience with AI in IT, but I can see that, as environments get more complex, it will definitely help with finding problems.

If we had just one solution that could provide real answers, and not just data, on our ops side it would help because they use that to dig out the root cause of problems.

When we look at a vendor we're mainly looking to see that their product does what we want it to do, that we can analyze performance problems and that it gives us good feedback on where we can improve things.

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I am really excited about the AI that I am seeing out of the OneAgent because I was just at the IBM conference last year. The IBM AI is still pretty much a toy and I have not really seen the rubber hit the road with their stuff, but the rubber hitting the road is here with the Dynatrace AI. From what I have seen, it will be a key tool set for us just to pin down problems and get answers immediately. 

Most important criteria when selecting a vendor: Everything that they are doing is right, except tech support and plugins.

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Regarding the importance of AI when it comes to IT's ability to scale in the cloud and manage performance problems, for our company, we don't do AI. So it's not important at all. However, I absolutely believe it's the future of technology. I would love to move our company in that direction, to use AI to help us - especially with Dynatrace - be proactive with problems, see them coming before they actually happen, which is what the AI piece can help deal with.

If there was one solution that could provide real answers and not just data, the immediate benefit for our team would be ease of use. It's easy for people to see, "Oh, I just caused this problem," especially if you want to get into a CICD, which is where we're trying to go. When I release some code into my performance environment and I can see impact immediately. That's something that would be great to have.

Our most important criteria when selecting a vendor are stability, and what other people in the industry are saying. We look at industry reviews for what they think about a company. That's where we look: How other companies in the same industry look upon a vendor.

In terms of rating the product, I think with all the changes they're making with it, it's probably a nine out of 10. It's probably one of the best ones out there. You can always get a little better.

Make sure you go with the Dynatrace SaaS option. It's easier and it all comes out-of-the-box. It figures things out for you.

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I rate them an eight out of 10. Although they have a lot of things already available, still, there's a long way to go.

I'm always recommending Dynatrace now. We had two vendors come to us and we proposed to one the Dynatrace solution; and the other is in the pipeline, so we have to start the discussion. I'm part of a the team that works on Application Performance Monitoring (APM) solutions. We do RFPs for them, PoCs for them, so that's one of the engagements that I am involved into. So my first choice, obviously, would be Dynatrace.

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Go with the new Dynatrace solution with it stats solution. Just the way it is implemented, they have made it a lot more user-friendly. Sometimes with AppMon, it is not so user-friendly. Otherwise, if you are choose AppMon, be prepared to sink a fair amount of time into it, because it is not something you learn overnight. 

Most important criteria when selecting a vendor: We were looking for something that could really help us deep-dive. That was the principal criteria. There were a lot of solutions, such as New Relic that we kind of looked at, but a lot of that was just surface-level. It was not giving us the full methods and full path of exactly what is going on, and that was what we were really looking for. 

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The role of AI when it comes to IT's ability to scale in the cloud and manage performance problems is one of the areas that we are looking into in 2018. We are definitely thinking about that, it's something that's on our radar. I believe that it is definitely important. I have seen some features presented by Dynatrace AI. But we are trying to do little more. I'm still exploring the AI option, to understand it much better from the Dynatrace perspective. But we are probably going to supplement that with some of our own analysis as well, at this point in time.

We have used siloed monitoring tools. Of course, the challenge is, when you're trying to put one single story together, it becomes extremely difficult. Importing and exporting data from one tool to the other, bringing everything together, trying to tell a story, the amount of time spent on that is humongous. You generally don't have that time. That's the main challenge.

If you had just one solution that provided real answers, and not just data it would definitely a great benefit - to have a solution rather than having data. Because then you're not relying on your best analyst, but you're going to present that to anybody who can read that information essentially and say, "Hey, here is the problem. This is how I go and fix it." Or, I would know which team to call, or which developer to call, because I could clearly see it on the screen. That visualization is very important. I think that would definitely help.

When it comes to selecting a vendor we have a lot of criteria. Vendor management within our company typically goes through those criteria. What I would say is, ability to understand our industry and resolve our problems, and understand what's critical to us and respond to that. Those are definitely important features that we are looking for from vendors.

I would rate Dynatrace, right now, about eight out of 10. There are a few features that we are really looking to get, and I'm having discussion with sales about that on a regular basis. Once we see those - those are our minimal set of requirements - I would be really happy.

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It was delivered when we wanted it and has performed exceptionally well. However, we have had to resolve a lot of things and had a lot of issues with the tool.

If I had just one solution that could provide real answers, not just data, the immediate benefit would be time saved (streamlined) instead of analyzing so many different tools.

Most important criteria when selecting a vendor: You need a good business partner to work with and help you implement the solution, thus it is the implementation and the support. These are the key things that I would look at in a vendor.

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Been running the product suite for 6 years and feel the product is still in front of the other competitors for the purpose we are using it. View full review »

I will continue using Dynatrace and I can confidently recommend it to others.

I would rate Dynatrace a nine out of ten.

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I would recommend this solution to others. We plan to keep using it. 

I would rate Dynatrace a ten out of ten. It is perfect.

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I think the role of AI, when it comes to IT's ability to scale in the cloud and monitor and manage performance issues, is huge. I have a directive to go to AI, shift left, go cloud, go microservice. All of that fits within a space where I don't have the resources to do that stuff manually, so let AI do it.

AppMon is our first APM solution. If we had one solution that could provide not only data, but real answers, if we deployed Dynatrace, and it got its own baselines, and then it told us, "We saw an anomaly, here's a problem ticket, somebody needs to look at that," that would be tremendous.

My most important criteria when working with a vendor are 

• support
• usability
• stability of the products 
• are they adopting to the upcoming technologies, because they're coming fast and furious? 

And so far, it looks like Dynatrace is doing all of that.

I would rate AppMon about six out of 10 because it's hard to set up, you have to have somebody very knowledgeable in the product. It's not intuitive. Out of a couple hundred people, I probably have 10 that know how to use it.

In terms of advice to someone who is looking at implementing a similar solution, I would say: Know your technology stack, know your applications, know what the roadmaps are, so you can make sure that you're implementing the right product to support all that.

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My job is not to rest because my whole platform's aim is to move on to next to the tools, like finding out what is right for their environment. Initially, if I would ask them to go for Dynatrace. Then, after using it for approximately one month, I can tell them to find out what they like and what they do not like. They can go on from there.

AI is very important. The world is moving toward an automation. In the future, it is going to be a new Ops world. There is no resource for sitting on the operations side, so there will be an AI which will be doing all the work.

When we implement the solution, the developers just supply the code and all the automation that happens behind them. That is what they expect. For example, it needs to do its work in a formulation, then determine what kind of resources you need for that and what kind of servers we need for all that. Thus, AI is going to be a big thing.

If I had just one solution that could provide real answers and not just the data,  the immediate benefit for the team is they do not have to spend time. So, the first thing is I don't have to bang my head about what is happening and where to find the solution. If I have something to use, which solves my problem. My life becomes easier.

Most important criteria when selecting a vendor: They should be very stable. Like most of the products in market, when they do updates, they break down. This will usually cause a slow down briefly to customers. This is where we will see if the product is stable or not. 

The vendor should avoid rapidly giving updates every month without doing testing, because if you see in the past with AWS (for example) when they released the patches for the Spectre and the Meltdown problem, it affected almost every company around 20 to 30 percent of the parts went down. The companies did not know that the patch was up like that. Transparency is important, and also, test the solution before you actually implement it.

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Use Dynatrace now.

AI could be the most beautiful part of Dynatrace's future. We really want to use it. 

Most important criteria when selecting a vendor: 

1. Have a good solution.
2. Have good support.

There are a lot of solutions on the market, but Dynatrace brings an application suite that is very good. So, for now, we will stick with Dynatrace for a long time.

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Their products are fantastic, but the issue isn't the product, but the price for the product and also getting developers and business to value the importance of the data that is collected. Some businesses run their web ecommerce around metrics gathered on performance where other companies fall behind and don't give it as high of a priority.

I would recommend that you understand the business requirements for performance, uptime, consumer experience, and what is ultimately the most important thing you want to deliver.

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Dynatrace is best-suited for large enterprises. I would advise those looking into implementing this solution to do the training because it's not easy to understand without it. I would give Dynatrace a score of nine out of ten.

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In terms of implementation, it's quite easy, now that there are many automation tools. So just integrate Dynatrace with the automation configuration tools. Just ask Dynatrace which integrations it has, for example Chef, or Puppet. If you integrate, the configuration will be easy.

Also, the configuration needs to be standard. The standards should be set initially. There should be a standard protocol; that needs to there. If that's not there, then issues may arise later on. These are some things which are advisable when you work with Dynatrace.

I would rate Dynatrace a six out of 10. When I consider all the negatives plus the positive points which I have already discussed, I end up at six, including the licensing and everything. 

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If I had a solution which could provide real answers, not just data, the immediate benefit for my team would be turnaround and evaluation time. If you could transform these into a language that management understands, that would be the key.

The role of AI when it comes to IT's ability to scale in the cloud and manage performance problems plays a big role. There are various platforms, offerings, services, and applications, which integrate with so many things. You will not need to spend time hooking this to that. The AI will figure it out, which is pretty cool.

Most important criteria when selecting a vendor: 

• How much you really need to know about it. E.g., how easy is it to know about the product capabilities.
• Cost. Everybody thinks about cost.
• From a technology standpoint, the product should not ask you to build using manpower to set up your own infrastructure.

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If I had just one solution that could provide real answers, not just data, the immediate benefit for my team would be spending less time finding out what caused the problem and potentially being able to have those cases automatically routed to teams who could address them. Our team would be able to have more time to dedicate to other projects. 

Most important criteria when selecting a vendor: 

• Capability
• Stability of the vendor
• Market share
• Number of customers. 

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When it comes to the nature of digital complexity, I think the role of AI for IT's ability to scale in the cloud, and managing performance, is very important because as large platforms grow, it's going to be extremely important to be able to pinpoint those problems and help find root cause analysis, that much faster. You're going to have that many more logs, and data, and code to flow through. A small subset of people just isn't going to be able to do it effectively.

We have used a small, limited set of siloed monitoring tools. In previous jobs, they were homegrown, so they were only as effective as we could make them be, which was only as effective as we had time to make them be. There was a balance because we had to fix what was going wrong and also try to build the tools to find what was going wrong. It was a tough balance to find. Switching jobs, we've used tools like Splunk alongside Dynatrace, alongside a couple other tools. They're all different tools used for different tasks, so I'm not sure if you can quite compare them side to side. It seems like the new Dynatrace has quite a few new features we're quite interested in.

If we had just one solution that could provide real answers, as opposed to top level data, that would be extremely helpful. That way, everything is concise, to the point, and in one location. Team members wouldn't have to go through different pages, different locations, and memorize where they would have to go and find what data they were looking for. They could find it all in the one place, very quickly and very easily.

The benefit would be that if you had everything in one place, you could save time looking for answers. Time is money, and when you are running into an issue, in an industry like ours, where seconds are basically hours compared to what most other companies have, it's an extremely important thing to have information at your fingertips, in a good location too. Having all that in one location and having the data immediately right there is what every company is really looking for.

I would give it a nine out of 10. I haven't seen everything out there, but it's up there.

If a friend was looking to adopt an APM solution, I'd probably steer them towards Dynatrace, just from personal experience. It's one of the only ones that I've had experience with, it's been generally very good. And seeing the direction they're going, it's a very good direction. It's where it needs to go.

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I would recommend Dynatrace. It is amazing.

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I would recommend implementing Dynatrace. It gives us all the data on all the calls, which is something that is very different from any other APM solution that I have seen or used in the past. 

We have lived without AI for a long time. There is minor AI and there is machine learning, so I would not say it is that important.

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First identify which issues, or information, you are trying to get. After doing that, get advice on the solutions out there, including Dynatrace, since Dynatrace is by far one of the leading APMs. Depending on every company's needs, you should definitely always evaluate a few competitors. 

The role of AI is important probably for most organizations regarding IT's ability to scale in the cloud and manage performance problems. However, AI is loose term ranging from pretty basic to pretty complex. The more human interaction is reduced and just the issues are shown and reported on, it helps. Everyone is moving to the cloud and having central transformation along with all those other buzzwords of the year. Obviously, our company is doing the same.

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In the digital transformation that we are having right now, AI plays a key role. It is hard for a human being to think about all the aspects. When you have a proper AI, that is built by good engineers and a lot of resource go behind it, so I trust the AI will help. At the same time, I am also equally worried that it will make people dumb, where people who used to do things the hard way, now they get use this AI product, then slowly stop using their brains. So, we are also thinking about this.

If I had just one solution that could provide real answers, not just data, the immediate benefit would be quality and getting right into the problem. Time savings is important as there is the brand reputation on operations. So, the quicker you solve problems, the happier customers will be. 

Most important criteria when selecting a vendor: Our focus is quality and speed of delivery, going through the microservice and that sort of framework. We are looking for a solution that can give insights into both the dev and the ops side. We are looking for features for changing the environment. An APM solution that can provide good balance between dev and ops is what we are looking for.

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When it comes to the role of AI and IT's ability to scale into the cloud and manage performance problems, I think AI is really important. Before, you needed some really expert people to do this job. Some customers have that kind of personnel, but some customers don't and they worry about hiring somebody, training them and then, maybe, that person will leave later and they will lose all that knowledge. Now, as it is automatic, as it is driven by AI, it's easier, it's better.

While I have not personally used siloed monitoring tools, our clients do a lot. They have a lot of trouble as a result, blind spots are common. Also, lack of knowledge, and integrating all those tools into a single one. Sometimes, they are mad, or not very happy, with investment of so much money into so many tools, and very high maintenance.

If you had just one solution that could provide real answers telling you what you need to do and not just the data surrounding it, the immediate benefits of that would be simple implementation, simple management, low cost maintenance, and faster adoption.

When it comes to selecting a vendor, a lot of people use the industry reviews as a reference. But, in practice, customers want a product that is proven, that is easy to manage, that has low cost maintenance, and that they can use in as many scenarios as possible. One solution to rule them all.

I never give anything a 10 out of 10 rating, but I would easily give this an eight given its integration, the stability. Dynatrace is always on the edge of new technologies. You are never left behind. Everything that is new is almost instantly covered in Dynatrace so, we like that.

Just try it. If you try it for one day, it's enough to understand the scope, the really big scope of Dynatrace.

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I am happy with the Dynatrace solution. Dynatrace is a perfect tool when compared to other tools. 

AI is important when it comes to cloud. Every time you see a complex problem, you can't go in the server and find it yourself. You need expertise in order to do it. With the resources of a non-cloud person who has just been introduced to  the cloud, he cannot do everything that an expert does. 

With the evolution of cloud and an unattainable number of resources, such as everyone in your software company cannot be an expert with the cloud. This is where the AI comes in. It helps you a lot. It shows the correct path of what is happening.

AI is a huge, important factor, and it will be the dominating role in the coming future.

If I had just one solution that could provide real answers as opposed to just data, the immediate benefit it would provide would be to decrease the resources that you may need and not necessarily need to provide staffing for your resources to know the technology perfectly. You can reduce the cost of the training or for the things that would make a developer be an expert in the technology. So, it would reduce the cost while automating things, and it will make things work smoothly and perfectly for you.

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Do your homework. Test. Do your proof of concept(s). Be thorough in what you need and defining your reasons for looking at the tools. Even though everybody likes what they see, it may not be a good fit for what you are trying to accomplish. 

The tool sets are great. They provide good information. You can always improve them with better data. 

If I had just one solution which could provide real answers, not just data, the immediate benefit would be a single pane of glass perspective for the application in our environment. We have been striving for this consistently in the last seven to 10 years. It is absolutely critical. It is where we are working to get to: A single view which is telling us the problem, what to fix, and moving us on to the next problem.

Most important criteria when selecting a vendor: First and foremost is honesty. We have been in technology, and we, among many other teams within our organization, are a much more of a senior team. We have people that have been in the industry for 20 years or so. Just tell me what the issues are. We have the technical wherewithal to know how to work through them. Therefore, being straight up, honest, and having integrity as you are talking about the tools, demonstrating the tools, not only the highlights, but also the pitfalls and things that we need to work through. Have more transparency.

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Take a close look at what you need. Do you need a technical perspective or a business perspective? What do you actually expect to get from your solution? Then, pick your solution based on that.

AI is still new to many, so we have to learn to use it, to navigate, perhaps even to trust it. With a product like Dynatrace, we will start learning to use it and get experience in how it works for us, then we will probably start trusting it. It is something we can't look into, but we will see that it does what we think it should do.

If I had just one solution that could provide real answers, not just data, that could provide an immediate benefit for my team, it would be to save time. We would save time debugging things ourselves. We would save minutes and hours of precious time until we are back up and running again.

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Try it out. This is literally one tool to rule and distance any other.

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I would highly recommend it.

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I recommend this solution to others.

I rate Dynatrace a nine out of ten.

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As we're using the cloud deployment model, we're consistently on the latest version of the solution.

We are a reseller. We both use it ourselves and offer it to certain clients.

The best thing you can do is try it. You can try it for free. You can try it in an environment you know really well. That way, after a trial, you can decide if it really will work for your company or not. 

On a scale from one to ten, I would give the solution a solid nine.

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If I had one solution that could provide real answers, not just data, the immediate benefit would be to save time while troubleshooting.

The siloed monitoring compared to Dynatrace: Dynatrace is more widespread, so you get to have diversity in every aspect of what you are monitoring. Whereas, siloed is more of being concentrated in a particular area, then you have to put the puzzle back in versus a non-siloed approach where you can get to the root cause directly.

Most important criteria when selecting a vendor:

• Scalability
• How accurate the troubleshooting and monitoring are.

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When it comes to IT's ability to scale in the cloud in order to monitor performance management, I can't really comment on the role of AI in that. I'm not involved in that as yet. We are just starting to have a cloud footprint now.

If we had just one solution that would not only provide data, but real answers, the immediate benefit for our team would, of course, be helping the code to be error free, but also speeding it up a bit.

What I appreciate most in a vendor, personally, would be performance in the product, and knowledge; product knowledge.

I would rate it a 10 out of 10, because it's easy to use. I use it everyday now.

Implement it and put it on every server. You have to have it all the way across with the network.

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This is very good product and you should go ahead and use it.

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I would rate it with a grade of eight out of 10 because it's a very good solution. We got results very fast after the initial deployment, but I still find it very expensive. So we are still being questioned about the cost-benefit. The value that we have in Dynatrace - I don't think I will have this kind of budget in the near future - it's worth it now.

My main advice is to evaluate the effort to set up the solution, customize the solution, after acquiring it. I know that we had better pricing, lower pricing, with the other competitors, but as I talked to some other customers that use BMC and Computer Associates, everyone told me it was a long run until they reached the setup that they needed. And they still have a lot of maintenance. Every change in the thresholds of the applications, they have to come back to the standards and redo the setup, but Dynatrace does it all by itself.

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If I had just one solution which could provide real answers, not just data, the immediate benefit for my team would be to solve problems quicker, and maybe, prevent problems before they happen.

Most important criteria when selecting a vendor: 

• Their ability to support the product.
• Their ability to keep up on new technology which needs to be monitored.

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When it comes to the nature of digital complexity, I think AI is significant when it comes to IT's ability to scale in the cloud and manage performance problems, especially in regards to shifting the need for manual observations, and in terms of identifying system degradation, etc. I think it's extremely valuable in terms of being able to anticipate potential issues, as opposed to the typical reactive identification of issues. I'd rather an AI system find it before a customer communicates such.

Regarding one solution that could provide real answers, as opposed to just top-level data, I don't think that's a possibility. Unfortunately, I don't think that there's always a one-solution-fits-all to any problem.

If a friend said he was looking to adopt an APM solution I would tell him, "Use what we have available in the enterprise, which is Dynatrace."

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I would recommend this product, specifically if you are really looking for one product which is useful to monitor/instrument various applications independent of application type and OS.

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It looks nice. The service discovery and user play are really surprising.

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It is the best solution that I have seen so far.

AI is like a new feature or benefits, and it is a cool thing. We have not tried it, but I really like to see it working. It is a great program, and it automatically makes a trendline baseline. Whenever something goes wrong, it can send an alert. There is also a web check feature.

Currently, we do not have a baseline. If AI is there, it can see the trend. Based on the trend, it can send notifications. It is also integrated with various platforms, like social platforms, so we can also get alerts from there.

Most important criteria when selecting an APM solution: 

We look mainly for how it will scale and what are the features currently available. 

I provide this information to the decision-makers.

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As for a tool that would not only give data, but real answers, it would make things even quicker. I actually think that's what Dynatrace does for us right now. It tells us the answer to what the root cause is. It doesn't actually fix it, which I'm hoping it will eventually do, but it actually gives us the right answers right now. That is better than what we had before, which was somebody would go in there and try to find the problem. They may not have gotten to the root cause, so they would put a temporary patch on it, and then it would come back again. Now, we seem to be getting to the root cause every time.

Our most important criteria when selecting a vendor are knowledgeability and the future vision, which, to me, is the most important part of Dynatrace. They're not thinking about, "Here's a tool for today, and we're just going to keep improving it slightly." They already have a master plan for where they want to go, and the tool reflects it. It shows that they're just thinking way ahead.

I'd give it a nine out of 10. I think it's virtually perfect. There are some bugs in it. Sometimes things get hung just for second, and you have to refresh something. Also, they aren't necessarily intuitive, but to me, they're just going to get better over time.

My advice is, start directly with Dynatrace Saas. Don't start with AppMon. Don't do the other older solutions. Just go straight in. Even if you have on-premise, SaaS is much better to start with.

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While my organization is a reseller of Dynatrace, I actually also work on it myself. 

While the deployment model that we're using is on-premises, there is a cloud-based version of it as well.

We're always using the latest version of the solution. It gets updated automatically, and therefore it's pretty much the latest version.

I'd rate the solution at an eight out of ten overall.

I would recommend Dynatrace to others who are looking into implementing it.

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Have Dynatrace or one of its partner do a PoC. You will not regret it.

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It has all the things an enterprise needs.

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First, make a detailed analysis of the purpose for such a tool, and then define detailed requirements they plan to achieve.

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Regarding a single solution that could provide real answers, Dynatrace will help because it will give you a lot of data, based on what I've heard at this Performance 2018 conference. Because we have not yet been using Dynatrace for a very long time, at this conference I have seen that it will be very helpful because of all the data and information that it will give you. It's an end-to-end solution.

When selecting a vendor the most important criteria are, of course, the cost, the usability, and if it's successful in the market. Also, if it will give us what we need.

I rate this solution eight out of 10 because I'm seeing you don't have to update everything. Once you've applied the one agent, it will be automatically updated if you turn on the automatic update.

I would advise that you check it out and try it.

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Nowadays, we are not Dynatrace customers. However, we want to keep up to date with product functionality in order to evaluate the necessity of changing our current solution.

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I will rate the software a nine out of 10 because they are able to help solve our issues for us even though we don't understand the system fully. 

To make it a perfect 10, Dynatrace needs to implement the features from New Relic in the dashboard so that I can monitor my own performance. Even though New Relic is not as good as Dynatrace, I have to understand my own system. I set each parameter manually before every launch by five minutes.

I would suggest to prospective buyers to evaluate both Dynatrace and New Relic to see which features are best for your company. 

If you are not sure about the system requirements, choose Dynatrace. If you understand your own system and know by seeing a network outline exactly what you need for support, then choose New Relic.

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The product runs perfectly with our application servers and collects data that we needed.

It is flexible enough to add desired measures and method level sensors into application code. We can see method-level details.

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I want to tell people about its hybrid security capabilities. A lot of people have legacy experience with the tool, so it is valuable. They would not have to reinvent the wheel.

We use a hybrid environment, so we have to use the both AWS and on-premise versions.

The product is integrated with Splunk and ServiceNow. It integrates easily with them.

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Dynatrace is the market leader for good reason. The company sees the future of APM and starts to deliver the functionality way ahead of many others.

We chose to partner with Dynatrace, not just because it is the market leader, but because they demonstrate the values that we feel are important to our customers, such as: 

• A consultative approach
• Customer centric account management
• Ensuring that customers experience the benefits of the solutions.

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Before moving to production, go through the training on community sites/boards and try to build internal capabilities.

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In this solution, they try to take a whole lot of complexity and make it look simple. It is not an easy thing to do.

There is a release every month of new features. They are pretty good at implementing things when you log a feature request or enhancement. The vendor is running DevOps and has a high frequency of releases, so you don't normally have to wait for the next major release, provided that there is enough requirement for it.

Quite a lot of the new design in the new version has been influenced by the new privacy rules in Europe. They've had to restrict a lot of what can be seen, in terms of the user's personal data, which can be seen as a good thing. Generally speaking, they've gone from a very open design where you can see all of the database queries and the data, to a more closed system. You can still find that stuff, but you have to turn on a lot of things and implement them. They are not there by default.

I find this a source of frustration because some of the time, the problems are because of the data. For example, someone put in their name wrong or put in an apostrophe. Without seeing the data, you don't know and can't figure out what is wrong. You have to figure it out by looking at it. This is a GDPR thing, however, and it is necessary for compliance. Companies have to decide while consulting with their customers, how much people are allowed to see. Then it can be configured.

My advice for someone who is implementing this solution is to take some time to plan out your operational environment in advance. Try to maintain consistency in naming, because I think that you can get additional value through this planning. You can roll out ad-hoc and it will be fine, but if you take some time to name things then you can get a better picture of your environment.

This is a very good solution, but nothing is perfect.

I would rate this solution eight out of ten.

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Research into similar products. 

It adapts well for integration with other products in our environment.

We don't use it for AWS.

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I rate Dynatrace a ten out of ten.

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I advise that when you are looking for a new product, consider:

• Features 
• Accuracy 
• Consistency

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