Since we have the OneAgent feature available, we have real-user monitoring. So not only do we know the response time and availability of the synthetic route, but we know what real users experience on our website. If our service desk gets a call, which seldom happens — but let's say you, as a member, had trouble with something — we can go back and find exactly what you did and why the response was poor. We've used that many times to find errors. JavaScript errors caused by a setting in Internet Explorer were the latest ones that were annoying the members. But members don't call our service desk and say, "Hey, your website sucks." So we have to look at the data and say, "Geez, why does Internet Explorer have these huge JavaScript errors?" And then we find out.

We found an error where developers used a Google API that was supposed to find a Medicare workshop by loading a Google Map and help a member find a place where they could go to a Medicare workshop. The API had so many calls an hour and we saw that, usually, about 45 minutes after the hour, that transaction was failing. It turned out that we'd used the 1,000 allocated calls and, when, the hour turned over, it worked again. It integrates all things monitoring, from an application perspective: synthetic, real users, and Java deep-dive.

Dynatrace provides us with a huge benefit for triage because by the time a Dynatrace problem is open, AI has identified all the components and where the response-time issue is or where the failure is. It's really mindless. We don't have to try to pull out a map and figure out how the application looks. 

And Dynatrace has a feature called SmartScape. I don't use it a lot because their AI is so good that I've never had to go dig through it myself. But if I were to go through it, it would go from data centers to hosts to processes to services and applications, to show how they're all linked together. So it has a topology view. We use that sometimes when we're doing performance testing, which is something another part of my team does. They need to know which pieces are involved and this helps them know that. 

But from a day-to-day event-management and IT operations-center perspective, the Dynatrace AI is what has identified the failing component. The dashboard has all the problems. They open up these problems, which are already events in our ServiceNow environment, and these problems have the call-path and everything else laid out in them. So I've never had to dig into the Smartscape to figure out where my failure is. The Dynatrace AI has done that for me.

What we found early on in our HealthRules environment was that the response-time problems were, 99 percent of the time, in the type of SQL that we throw at the database, because the DBAs would say, "It's not the database, it's the bad SQL." Dynatrace helped us focus immediately on that and get away from: "Is it the network? Is it the server? Is this too busy?" There are all the different things that the vendor wants to throw at you. I went up to Boston to help the vendor a year or two ago. I took them right through the code and the response times and said, "Here's the piece of SQL that makes this particular function slow." Dynatrace was able to do that. We got there in minutes. They said, "Well, your server might be too busy, it might be your network," and I could say, "No, it's none of that. Here's the response time of that transaction and here is the decomposition of it. The thing runs for 13 seconds and spends 12 seconds on this one piece of SQL. I think that's where your problem is." Dynatrace was a huge help there.

The solution has decreased our MTTR by well over 50 percent and maybe by as much as 90 percent. It enabled us to identify some things, first of all. Before, it was endless war rooms, and not really an identification. Dynatrace has driven that almost to zero. When the problem is opened, we know the root cause.

As for mean time to repair, since we know what we need to repair, we can point the developer right at it. It has decreased that by 50 to 60 percent.

It has also dramatically improved our uptime. One of the biggest problems we have with the JVMs, of course, is garbage collection and memory saturation. A memory leak will develop and Dynatrace will show the memory increasing steadily. It will create a problem and they'll work on the problem proactively, and either fix it or schedule graceful downtime. If they have to shut down the environment, they can stage through the three different servers in a type of HA arrangement. So without any disruption to the client, we've been able to fix things that would have turned into major outages of the whole environment. It's a definite help on the preventive side.

In terms of time to market, the guys who work on our web portal interface, who are in-house, were early adopters of the technology on our team and learned what works and what doesn't. Dynatrace has significantly decreased their time to market. They're not really part of the development cycle, but the way they use it and the things they say about it and the reports they've made indicate that it has probably cut nearly 50 percent of the development of their portal code.

It has also helped us with consolidation of tools. We got rid of some New Relic and we got rid of some older tool which was a great, early innovator in this space, but it was acquired by CA or Microsoft. We were still paying licenses for that and were able to consolidate it. We were about to buy a network tool to help us with ACI conversion on our network side, a tool that would mainly tell us who an application is talking to on the and network. We use Dynatrace to do that, so we saved tens of thousands of dollars in not acquiring that tool. We also took the synthetic work that we paid an outsourced company to do for us and we converted all of that. Once we had Dynatrace in the house, we could do it ourselves and that saved $20,000 to $30,000 a year. There's probably more, if I were to look at it, that I could do with Dynatrace. I have to focus on the core system right now, but I think they'll get it in the SNMP monitoring space soon, if they're not already there. And the plugins on the ActiveGates have a lot of capabilities we could use. We already monitor our VMware environment with it now.

We've started to use the Apdex score in all of our communications. It's a standard metric that's used for websites to indicate how they're performing. That idea is baked into Dynatrace and we've built on that throughout our company. The weekly service quality reports that are produced and sent via email to all Dynatrace users are starting to get some notice. They show, from the web portal side, what the Apdex is. Is it acceptable, tolerating, or unacceptable? It shows the percentages of the time of use and where they're coming from. It also shows it geographically and what type of browser most of your users are using. It shows how much of it is mobile versus desktop, which has proved very valuable to our digital experience people. Things like that are a huge benefit, and those are things I didn't even know existed when I bought it.

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This solution has helped our organization on multiple occasions. The synthetic monitor came in particularly handy. We also deploy the solution to monitor hundreds of our customer-facing sites for any outages, etc.

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We are able to share information easier and improve user experience.

When a ticket is logged in Dynatrace, it automatically goes to the correct support team. There is no manual intervention, which saves time. We are saving probably $30,000 to $40,000 annually because we are not employing several people to do this work.

Dynatrace’s ability to help us visualize and understand our infrastructure, and to do triage, is very good. It provides a Smartscape view, which gives us an overall view of the topology. When a problem is raised, it draws out where the issue lies and also suggests the solution. This brings down mean time to restore very quickly, helping the resolution.

The fact that the solution is a unified platform has very much changed the way our teams work and collaborate. It brings teams together, because they are able to screen share, especially during COVID. Then, we are able to talk about the exact same thing.

The automated discovery and analysis help us to proactively troubleshoot production and pinpoint the underlying root cause. If we are seeing error messages in our website for users who are seeing an error page, then we are able to go into the user's session, look at PurePath and the code, and see the reason why this is occurring in the back-end code.

If a user experiences an issue on their mobile, e.g., where they can't generate a ticket nor generate a benefit from our application, then it will automatically log a ticket. That will then feed into a database where the customer is contacted proactively.

Dynatrace uses a single agent for automated deployment and discovery. This helps our operations because we can bake that into an Amazon Machine Image (AMI) and roll it out.

The solution gives us 360-degree visibility of the user experience across channels. This is important in our environment. This helps us meet business goals because we are able to interact and serve as many teams. So, product managers and project managers are able to give metrics or data feedback to any team suitable from a developer to the C-level.

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It has improved our critical incident response, exposing critical issues impacting the environment and our ability to respond to those events prior to client impact as well as resolving those events more quickly. We have use cases where we have studied a 70 percent improvement for response times in an occurring event as well as future reoccurrences being improved.

The solution's use of a single agent for automated deployment and discovery helps our operations significantly. Oftentimes when you are looking at endpoint management, centralized monitoring teams need access to data across systems. They need to manage agents deployed throughout the organization. Remote polling of data can be helpful, but it's not deep enough, especially for APM capabilities. Having one agent significantly simplifies that functionality in such a way that it enables a very small team to manage a very large environment with very limited overhead. It provides the ability for external teams to manage it because they don't need any deeper knowledge of the application than installing the agent. They have the ability to integrate the agent into deployments and to do the work with very limited overhead.

The automated discovery and analysis helps us to proactively troubleshoot production and pinpoint the underlying root cause. We have had scenarios where we can see end user impact. One of the use cases was where we had an individual system and a cluster of nine for a content management system that was having an issue. Through Dynatrace, we were able to quickly identify the one host that was having a problem, take that out of the active cluster, recycle that application instance, bring it back, and reintroduce it to the cluster in a very efficient manner. Historically, these processes take multiple hours in order to diagnose and identify the instance, then do the work. With Dynatrace, we are able to do the work in less than 20 minutes from when it first occurred to issue resolution. Thus, there have been scenarios where you can quickly identify infrastructure issues and back-end services. 

Out-of-the-box, it's the best product that I've seen. Its ability to associate application impact, as well as root cause from an infrastructure standpoint, is by far ahead of anything that I have seen due to its ability to associate infrastructure anomalies to applications. We are still on our journey of identifying the right business KPIs to see how we can associate this data.

Dynatrace is doing an excellent job of giving us 360-degree visibility of the user experience across channels in most technologies. We are working with Dynatrace to expose the full transparency to the mainframe, as we have transactions that call from the cloud onto the mainframe and back out to other services. This is a critical visibility that isn't there yet. Otherwise, with a lot of the cloud and historical systems, we do see a lot of transparency of transaction trace across the environment.

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The product helps us identify issues in the application and get to the root cause immediately. We can understand why a client experiences slowness, whether it is due to DB or some issue at the front end. It could also be an issue relating to their zone. We can also use the tool to understand the impact of the technical issue and the loss to business.

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The automated discovery and analysis definitely help us to proactively troubleshoot production and pinpoint underlying root cause, both from a code perspective as well as an infrastructure perspective. When we get an alert, or we're seeing a degradation in performance, Dynatrace will lead us down the path: Where do we need to look first? It will tell us that it has analyzed so many trillions of dependencies and that it thinks that the problem is "here," and it will point to a query or a line of code or perhaps to a system or to a container that is not functioning properly. Depending on what the problem is, it saves us an enormous amount of time in troubleshooting and identifying problems.

I estimate it has cut our mean time to identification at least in half, if not more. Before, we were relegated to combing through logs. We would take Splunk, look for the error, find out where it was occurring, how many times it was occurring — do all that type of investigation that you normally need to do. We don't have to do that anymore because it's all automated. 

And as far as decreasing our mean time to repair goes, it's closer to 60 to 70 percent. The reason is that we don't need to take such drastic troubleshooting time. We take its recommendation, and the time that we spend is checking that Dynatrace was right. We'll test out a quick fix in dev and then take it to QA and then push it to production. In some instances, it does reduce our MTTR by anywhere from 60 to 70 percent, although it really depends on the problem.

I operate an entire stack on four people, and the only way I'm able to do that is by automating as much as I can and having tools that I can rely on to reduce time-dependent tasks. Dynatrace has allowed me to function and keep my people productive without working them 24/7. Dynatrace works 24/7 for me.

Another thing that Dynatrace gives us is very deep visibility, not only into user actions but systems interactions. How are the systems relating to each other? Are the right systems talking to the right systems? When we first deployed Dynatrace five years ago, it showed us, through its Smartscape tool, that we had servers talking to servers they shouldn't be talking to. That was quite an eye-opener. I've noticed that a lot of companies are trying to copy what Dynatrace came out with in its Smartscape, but to me, it is the best visualization tool of your app stack and network that you'll ever put together, and you don't have to do anything. The system puts all that together. You deploy your one agent, it maps out the system, and you can see everything from application to network to infrastructure connectivity. It depends what you want to see, but it's all Smartscape'd out. You can tell what traffic is going in which direction and where it's going.

In addition, when I first started using Dynatrace, I had a routine. I would come into the office early and go through all of the night's activities. I would check for any problems we had: Was anything broken, were there any active alerts? With Dynatrace Davis, I started getting those reports automatically, through Amazon Alexa, and I do that on my drive to work. Instead of having to go in early and spend time in the office, I'm able to stay at home a little later, have breakfast with the family. Then, when I'm in the car, I invoke Alexa to give me my Dynatrace morning report, which will include my Apdex rating, any open problems, and a summary of closed problems. It's probably one of the least advertised aspects of Dynatrace, and one which I think is among the most highly efficient tools that they offer.

The amount of time we have to devote to maintaining Dynatrace is next to nothing. The time that we spend in Dynatrace is actually using it. We're using it to look at what's happening, what's going on, is something broken, or do we have an alert? We go in to find out what's wrong. Maintaining it is really almost nonexistent.

Another advantage is that it is much more of a proactive tool than it is one for putting out fires. Of course, it helps us tremendously if we have to put out a fire, but our goal is to never have a fire. We want to make sure that any deployments that we put out are fully tested in all aspects of use, so that when things are fully deployed, there isn't any need for a rollback. In the last three years, we've had to roll back a production deployment once. I don't attribute that all to Dynatrace, but I attribute a large part of it to it.

It has increased our uptime because we find out about problems before they're problems. The one goal that my team has, above anything else, is to know about problems before the customer does. If the customer is telling us there's a problem, we have failed. We are so redundant and so HA-built, that there is absolutely no reason for us not to be able to circumvent an issue that is under our control, and to prevent any type of a work stoppage or outage. We can't help it if the internet goes down or if Microsoft has a core problem, but we can certainly help by making sure that it's not our application stack or our infrastructure. I would estimate our uptime is better by at least 20 percent.

In the end, it has decreased our time to market with new innovations and capabilities, because anything that reduces time-to-produce decreases time to market. Once the code has actually been developed, it's in testing and deployment and that's where my window of efficiency is. I can't control how long it takes to build something, but I can control how long it takes to fully test it and deploy it. And there, it has saved us time.

Before we had Dynatrace, and a lot of the processes that Dynatrace has helped us put into place, everything was manual. And the more manual work you have, the more margin for human error you have.

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Since we are a 24/7 support shop, our primary job is to make sure that revenue keeps going in through the site and the site itself works. We have categorized issues into three tiers: Priority 1, 2, and 3. Depending on where a given issue falls, the Dynatrace alert is generated and sent to my team, then prioritized into one of those three categories. The response then to that issue will fall into a bucket for that type of priority. 

My primary use of the tool is to keep revenue coming into the business and to use it to help our business team in running their site analytics and web performance tools. They have things like Adobe Analytics that provide them with one layer of data. We use Dynatrace as another railroad metric to both confirm the Adobe Analytics data and enhance it in certain places where Adobe won't give us the answers that we need. In terms of metrics, we've had roughly about 120,000 unique sessions per hour on our website. So, we're capturing a lot of session data and real user data, and all of that data is kept in user sessions. We can look this information up by user ID to tag any given session that we want to find by date/client. E.g., if the user said that they had an issue last Thursday at 11:00 PM, then we can just do a search on their email address, go through all their sessions, and find the one that they mentioned, then dig directly into that one.

It has completely transformed the way that we do eCommerce from a couple of different perspectives. The first one is that we are really tied in with our business users to a much greater extent than we were in the past. A lot of the Dynatrace data is data which not just the technical team wants to see and to work with, but it is data that the business team wants to see as well. It has sort of facilitated a better communication stream between my business partners and my team to allow us to go back and forth on different aspects of the website. We didn't have that in the past. 

It has also built more solid relationships between the application development team and my support team because they will often have questions after new releases as to how those new releases affect different areas of the site. So, we have constant sessions with those guys in standing meetings on a biweekly basis to go through different aspects of what a release has done to the website, how we can use Dynatrace to track differences from one release to the next, and see if there is any latency as a result.

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The most important takeaway is simply the compute. Simply understanding how much, or, the resource adoption across the board. Back in the day, for example, I would need 128 gigs of RAM to run SQL. You don't need that any longer. Having the performance and true metrics of what's going on, as well as scaling your environment to its optimal performance.

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What Dynatrace has really allowed our team to do is focus more on innovation, rather than on monitoring and bug-squashing. Now that we have a tool like Dynatrace, we can continue to do forward-thinking projects while Dynatrace is doing the monitoring and rooting out the root causes. We're spending a lot less time trying to find out what the problem is, versus letting Dynatrace pinpoint where the problem is. We can then validate and remediate much quicker. That's the impact it's had on our business.

The automated discovery and analysis helps us to proactively troubleshoot production and pinpoint underlying root cause. We recently had some issues with database connections. Our database team was scratching their heads, not really knowing where to look. What we were able to do with Dynatrace, because we had some of the Oracle Insights tools built into the database, was to provide, down to the SQL statement, what queries were taking up the most resources on that machine. We provided that to the database team and that gave them a head-start in being able to refactor the data so it was quicker to query. That really helped us speed up the user experience for that specific issue.

Dynatrace helps DevOps to focus on continuous delivery and to shift quality issues to pre-production. We are just now starting to use it in that way. When we first launched Dynatrace, we only had monitoring in our production environment. At that point we were using it as an up-front, first-alert tool for any issues that were happening. Now what we're doing is instrumenting our lower environments with Dynatrace so that it will allow us to monitor our load-testing in those environments, to find out where our breaking points are. So it does allow us to push out products that are much more stable and much less buggy because we're able to find out where our breaking points are in the lower environments. What this is going to do is allow us to do is push out, at a faster rate, more solid, less buggy releases and customer features, and allow us to continue to innovate on the next idea. We're just starting that journey. We just got fully instrumented in our lower environments in the last couple of weeks.

In terms of 360-degree visibility into the user experience across channels, we're only monitoring our digital channels right now, specifically our e-commerce channels. But we do have ways, even within the channel, to dissect by the source they came from. Did a given customer come from a digital ad? Did they come from an email? Did they come to us direct? It does allow us to segment our customers and see how each segment of customer performs as well. This is important for us because we want to make sure that we're not driving specific segments of customers into a bad-performing experience or to a slow response time. It also allows us to adequately determine where to spend our marketing dollars.

Another benefit is that it has definitely decreased our mean time to identification, with the solution and the Davis AI engine bringing the most probable root cause to the top. And within that, it gives us the ability to drill down into the specific issue or query or line of code that is the issue. So it has saved us a lot of time — I would estimate it has saved us 10 hours a week — in remediating issues and trying to find the root cause.

It has also improved uptime, indirectly. Because it gives us alerts early, we're able to mitigate issues before they're actually bigger issues.

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We can see down into the layers, such as with databases. We can see database queries which are causing problems. 

We can see CPU usage for different containers. I can do a run and see what errors exist in containers which are causing problems. We can rightsize containers on the fly and understand what is happening with our Docker, microservices, etc.

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It has created total transparency between technology and business on all aspects of systems and performance as well as being a proxy for network performance through user experience monitoring. This followed a major performance degradation of our primary frontline system, which highlighted inadequacy of infrastructure focus tools, e.g., Nagios and Zabbix. It helped detect and remediate several performance issues on systems on both vendor supplied packages as well as in-house developed systems. It also improved InfraOps and development teams understanding of system behaviour and performance characteristics.

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Mean time to resolution is probably the biggest improvement. Also, operational awareness is probably one I haven't touched on too much. I think in the past a lot of teams really didn't have a comfortable feel for how well, or not well, their applications were performing. You would get log files, things like that, just a small amount of perspective. In a lot of cases, people complaining was their first indicator of a problem and, really, nobody wants to be in that situation.

We started using this product about five years ago, and with AppMon. That was one of our first big wins, getting these big TV dashboards up all over the place. It really gave executives confidence that we did have things under control. At least we knew what was going on. It wasn't always the green check-mark up there, but we knew when there was a problem, before people called in and told us there was one. So that was a huge benefit.

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This solution has helped our organization by allowing us to check for site vulnerability and performance, which in the end helps us save money.

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The solution uses a single agent for automated deployment and discovery, which helps our operations. It reduces the cost of ownership of managing Dynatrace as a tool set, ensuring that we're able to maximize the value from Dynatrace and monitoring is available. That's a big plus.

An example of how it helps is we are more proactive than we were previously, though we're not quite where we want to be. Engineers are talking more with the operations people, which is closing the loop. Our teams are becoming more customer centric.

The platform is very good at identifying potential issues, but each problem that surfaces in most cases still needs to be qualified and quantified by somebody who understands the system. Complex application problems, not infrastructure, surfaced by Dynatrace still need to be reviewed by somebody who understands the application logic or system architecture. For somebody who understands the platform though, issues can resolved in minutes as opposed to hours.

We have the ability to detect user action response time slow downs and their consequences, along with the back-end calls to third-parties. We are heavily dependent, for a number of products, on back-end service calls to other suppliers. Using Dynatrace, we are able to measure the performance of those third-parties. 

We are also using Dynatrace to right-size the infrastructure, especially on private cloud where we have to provision the resources upfront to save costs. Dynatrace helps us by finding how many resource we are utilizing and identifies how many resources we need to maintain for the level of performance and scalability that's required. This has helped us right-size in about 50 percent of our cases, leading to a reduction in cloud resources by 50 percent.

The solution helps DevOps to focus on continuous delivery and shift quality issues to pre-production. This helps with performance testing because our performance test teams are more aware of how product features are performing, which helps to prioritize our testing. It creates test cases so we're able to do more testing. Because Dynatrace helps us define the cause more quickly, this speeds up the time between test cycles.

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The solution helps our DevOps to focus on continuous delivery and shift quality issues to pre-production. We recently got a staging environment implemented with Dynatrace. We are mainly using it for load testing at the moment. Dynatrace has been detecting failures, letting us know immediately what types of failures are occurring so we can catch them before releases. Our developers have been able to identify bottlenecks and other types of problems that they would not have been able to before by just using standard logging and analytics tools.

The solution give us 360-degree visibility of the user experience across channels, which is a great benefit. We're in eCommerce as a retailer. We are selling across multiple channels and platforms. We have a mobile app and a website. We even have other services which we may instrument with Dynatrace in the future. As far as our website and mobile app that we have instrumented with Dynatrace, it has all been very positive. 

The solution has decreased our time to market with new innovations/capabilities because we have been able to quickly identify areas that we can improve for new features and gather that data from Dynatrace. Then, we have been able to verify that our new features and releases are working as expected.

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Looking at Dynatrace's automation and AI capabilities, automation is generally a great place to start. In products where there has been no observability or a very limited amount, the automation can give a great deal of insight, telling people things that they didn't know that they needed to know.

Davis will do its best to provide root cause analysis, but you, as a human, are still responsible for joining as many of the dots together as possible in order to provide as big a picture as possible. As long as you accept that you still have to do some work, you'll get a good result.

I have not used Dynatrace for dynamic microservices within a Kubernetes environment in this company, but I have had an AWS microservice cluster in the past. Its ability to cope with ephemeral incidences, as Kubernetes usually are, was very good. The fact that we didn't have to manually scale out to match any autoscaling rules on the Kubernetes clusters was very useful. Its representation of them at the time wasn't the best. Other products, Datadog, for example, had a better representation in the actual portal of the SaaS platform. That was about three years ago, and Dynatrace has changed, but I haven't yet reused the Kubernetes monitoring to see if it has improved in that regard.

Given that Dynatrace is a single platform, as opposed to needing multiple tools, the ease of management is good because there is only one place to go in order to manage things. You deal with all of the management in one place.

The unified platform has allowed our teams to better collaborate. In particular, because of the platform consolidation, using Dynatrace has made the way we work generally more efficient. We don't have to hop between seven different monitoring tools. Instead, there's just one place to go. It's increased the level of observability throughout the business, where we now have development looking at their own metrics through APM, rather than waiting until there's a problem or an issue and then getting a bug report and then trying to recreate it.

It's increased visibility for the executive and the senior management, where they're getting to see dashboards about what's happening right now across the business or across their products, which didn't used to exist. There's the rate at which we can monitor new infrastructure, or applications, or custom devices. We had a rollout this week, which started two days ago, and by yesterday afternoon, I was able to provide dashboards giving feedback on the very infrastructure and applications that they had set the monitoring up on the day before.

As we've only been using Dynatrace in production for the past month in this company, the estimate as to the measurement of impact isn't ready yet. We need more time, more data, and more real use cases as opposed to the synthetic outages we've been creating. In my experience, Dynatrace is generally quite accurate for assessing the level of severity. Even in scenarios where you simply rely on the automation without any custom thresholds or anything like that, it does a good job of providing business awareness as to what is happening in your product.

Dynatrace has a single agent that we need to install for automated deployment and discovery. It uses up to four processes and we found it especially useful in dealing with things like old Linux distros. For example, Gentoo Linux couldn't handle TLS 1.2 for transport and thus, could not download the agent directly. We only had to move the one agent over SSH to the Gentoo server and install it, which was much easier than if we'd had to repeat that two or three times.

The automated discovery and analysis features have helped us to proactively troubleshoot products and pinpoint the underlying root cause. There was one particular product that benefited during the proof of concept period, where a product owner convened a war room and it took about nine hours of group time to try and reason out what might be the problem by looking at the codebase and other components. Then, when we did the same exercise for a different issue but with Dynatrace and the war room was convened, we had a likely root cause to work from in about 30 minutes.

In previous companies where the deployment has been more mature, it was definitely allowing DevOps to concentrate on shipping quality rather than where I am now, which is deploying Dynatrace. The biggest change in that organization was the use of APM and the insights it gave developers.

Current to the deployment of Dynatrace, we adopted a different methodology using Scrum and Agile for development. By following the Scrum pattern of meetings, we were able to observe the estimated time in the planning sessions for various tasks. It started to come down once the output of the APM had been considered. Ultimately, Dynatrace APM provided the insight that allowed the developers to complete the task faster.

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We have had a few instances where we found small problems. They may or may not have been a full site-outage, but they certainly would have had some kind of customer impact. We only put the tool in a year ago but we've already got quite a number of things. We've found the product has helped us to identify an issue and we fixed it before there was  any customer impact. So we're seeing the benefit already, which is great.

To use an example, the savings in terms of cost and time. We use it for live monitoring, but we also use it in our performance testing. So that alone, that issue I just talked about, was a performance testing issue, and we would have put that change live without Dynatrace.

Finding that problem in "live", that would have been three or four days of investigation, whereas we found the issue, fixed the issue, reran the tests, all same day. That was days and days and days of cost-savings, in terms of resources, and allowing them to actually do other things that they're there to do.

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The dynamic microservices for Kubernetes is really value-added because there is a lot of monitoring functionality already built into Kubernetes Docker. There are also free things like Prometheus which can display that. That's very good for technical people. For the owner of the pod itself, that's enough. But those things don't provide any business value. If you want business value from it, you need to extract it to a higher level, and that's where you need the correlations. You need to correlate what is between all these different services. What is the flow like between the services? How are they interconnected? And that's where Dynatrace gives added value. And the fact is that you can combine these data, which are coming from Kubernetes, and include them in Dynatrace, meaning you have a single pane of glass where you can see everything. You can see the technical things, but you have the bigger business value on top of it, as well.

Before Dynatrace, we were testing just by trying out the application ourselves and getting a feeling for the performance. That's how it very often would go. You would start up an application and it was judged by the feeling of the person who was using it at that moment in time. That, of course, is not representative of what the actual end-user feeling would be. We were totally blind. We actually need this to be able to be closer to the customer. To really care about the customer, you need to know what he is doing. 

Also, incidents are resolved much faster by using Dynatrace. And that's for front-end, because we actually know what is going on. But it's also for server-side incidents where we can see the correlation. Using this solution our MTTR has been lowered by 25 percent. It's pinpointing the actual errors or the actual database calls, so it goes faster. But, of course, you still have to do it. It still needs to be implemented. It doesn't do the implementation work for you.

Root cause detection, how the infrastructure components interact with each other, helps. We know what is going wrong and where to pinpoint it. Before, we needed to fill a room with all the experts. The back-end expert would say, "I'm not seeing anything on the back-end." And the network expert would say, "I'm not seeing anything on the network." When you see the interaction between the different aspects, it's immediately clear you have to search in your Java development, or you have to search in your database, because all the other ones don't have any impact on the performance. You see it in Dynatrace because all the numbers are there. It really helps with that. It also helps to pinpoint which teams should work on the solution. In addition to the fact that it's speeding up the process of finding your root cause, it's also lowering the number of people who need to pay attention to the problem. It's just a single team that we need to work on it. All the rest can go home.

It has decreased our mean time to identification by 90 percent, meaning it only takes us one-tenth of the time it used to, because it immediately pinpoints where the problem is.

Dynatrace also helps DevOps to focus on continuous delivery and to shift quality issues to pre-production because we are already seeing things in pre-production. We have Dynatrace in our test environment, so we have a lot of extra information there, and DevOps teams can actually work on that information.

Finally, in terms of uptime, it's signaling whenever something is down and you can react to the fact that it is down a lot faster. That improves the uptime. But the tool itself, of course, doesn't do anything for your uptime. It just signals the fact that it's down faster so you can react to it.

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I’m not sure about the entire organization, but for my quality assurance, the mean time to resolution or to find a problem has been reduced dramatically now. I don’t have a percentage but, we used to take a week or more to troubleshoot an issue, now it can be done very quickly, probably in a day’s time.

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• System profiling
• Early warning alerts
• Memory and thread dump analysis
• CPU sampling
• PurePath technology for easy troubleshooting.

These save us a lot of time because we no longer have to guess and pour through millions of log lines to figure out what is hurting.

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Being able to identify quickly what the problem is. It allows you to better utilize and focus your talent, and tell management that you are not only looking at problems, but how you can ultimately make the product better for the end user.

Business Case: In our implementation, AppMon and UVM are fairly infantile. The implementation was less than six months ago which means that we have been able to scale down some of our infrastructure. Not needing as much infrastructure to run compared to what we have been running in the past. From this perspective, it has been cost effective in allowing us to scale down infrastructure.

It allows us to make better business decisions based on what we are seeing, not what our customers were telling us was going on, but what we are actually seeing. Using this, I have been able to identify what the customers are experiencing. It allows us to optimize our site, our eCommerce solution, to better suit the needs of our customers. We can actually see what they are seeing and almost feel what they are feeling, because of the eyes that we have into their experience. It allows us to better code and better develop, allowing us to be able to optimize our website based off what we are seeing the customers truly experiencing.

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The dashboard gives us something to show managers and our business where the problems are. That's really been eye-opening for them. They can see, yes, this tool has been a good investment. They can see where the problems are and how we can take advantage of it for making those necessary corrections, so it's been helpful to us.

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I can get everything on a single page. 

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Before we had the tool we had no visibility into the user experience and capturing what was going on inside the browser. We utilized tags so we knew how many times people were doing certain things, but we did not know how the performance was, if users were satisfied with what they were doing, and if we were serving up errors. We had no ability to correlate anything that was going on in our back-end systems and what users were doing. Being able to have that viability and that insight into what is going on for our customers was immensely valuable across the board from the development perspective all the way through to higher level business people.

One of the reasons that we are going into the new Dynatrace platform. We have a lot of data. With that amount of data and my team being very small, we are not specifically developers, we do incident management and problem management. The administer of the Dynatrace tool makes sure the monitoring is out and available for everybody where it needs to be. We do not have time to look at all the data, and with all the AI and automatic stuff being able to do management zones when that coming to us soon, a lot of the feature sets which are moving forward will make my job so much easier. I will not have to work 60 to 65 hours a week to ensure I am getting stuff to the developers so they can do what they need to do.

Dynatrace is staying up with IoT and a lot of the cloud solutions, which is really going to be helpful for us in the future.

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One of the benefits - and I think it's because of one of the features that Dynatrace has, which is PurePaths - is that we have been able to diagnose, a lot faster, some of the issues that we have encountered in the past, when it comes to performance. We've even encountered two issues where we had to go back to software companies and tell them "You've got a problem with your software, and this is where it lies." Dynatrace was the one that helped us with that. We haven't completely removed the war room but we're expediting some of those war room diagnoses.

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It's really opened our eyes. We had point solutions where we could see different elements of the stack, and Dynatrace ties everything together. Before, we could never get that full-stack monitoring. It prevents that, "Oh, it's your problem. No, it's your problem," type of an issue, and it allows us to get to that problem.

It also helps us get us the context of the customer experience. What's the business impact of those problems? And we've never had that before. That has been good.

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The obvious benefits are proactive monitoring, but there were the unexpected results we gained from it that brought additional value out of the product:

• Security analysis, i.e., being able to detect when there was malicious activity on the site. 
• DNS poisoning when incorrect traffic was hitting the site.
• Multiple hits to API calls when only one should happen.
• Helping to reduce license costs by reducing calls to specific services.
• Being able to ingest data from other sources and display them alongside, an example being in a third party system that does not allow monitoring, but does have an open API to pull monitoring stats from.

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We have setup proactive alerts to notify us when certain conditions are met, such as when we are out of memory or high threads.

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We monitor critical internal applications including some public-facing applications. Internal transactions are being tracked and we get immediate feedback from the solution's monitoring which makes a big difference to us.

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The visibility into the application's performance helps the executives and managers by using easy dashboards. Our engineers are also super happy with the ability to drill down and fine-tune based on issues which we have seen. A bunch of issues with OpenID were easily investigated, then we were able to fix them quickly.

It has been a very enabling tool for us, especially for my team. The visibility that it provides through the application's behavior allows us to find trends based on our customized metrics.

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We now know when the application is down, as opposed to students opening tickets and letting us know. So it's more proactive.

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We have identified some critical issues, which are not available or recreatable in the Dev or QA environment. They are only happening in production, and they are easy for us to identify in the production environment. We can usually identify issues and fix them.

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With Dynatrace, we have identified and solved "mystery" issues that we have experienced for a long time, including sporadic latency issues on storage volumes and SQL databases not scaling properly when under certain loads. 

We are also monitoring web services and using synthetic web checks to actively monitor specific parts of our production website and production web applications. With the SaaS version of Dynatrace, we started monitoring our VMware hypervisors and that gave us valuable system specific metrics into our virtual environments. Therefore, we have built smart alerts to notify our team of potential problems before they manifest themselves to end users.

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Dynatrace has improved our organization through operational support. We also have a large services organization which directly works with customers, and sometimes you run into situations where customers ask how they can improve their applications. Traditionally, these service teams would go for assessments. Eventually, they would even go onsite and through performance workshops with them to find some low hanging fruits that could address, and this was very tedious work. By introducing Dynatrace, you suddenly have real-time data. Then, the process of doing performance reviews switches from workshops or a defined time frame analysis (and then taking actions) to a more continuous approach where you constantly have Dynatrace performance data of the landscape. 

Service engineers save a lot of time because they can just go in look at the data and share it with the customer, who has the same view, and say, "Here's an improvement which can be immediately implemented." It's not like a collection of big, multiple findings that are consolidated into one results presentation, then the customer needs to do something. It's more like a continuous performance analysis and improvement process, which is more efficient than those workshops approaches. That's one of the biggest of the advantages that our services team sees because it helps DevOps to focus on continuous delivery and shift quality issues to pre-production.

Dynatrace is tightly integrated with ITSM. It's integrated with ServiceNow, which our support team is using.

We provide a platform, then the customer ships the code and deploys it. Therefore, we rely on testing by the customer, and sometimes, they miss something and it breaks. Then, it doesn't work as expected so we have to step in, and say, "Yes, your site is down," or "It's not functioning properly." We do the analysis because typically the customer says, "Okay, it's not us. It must be you as the service provider." This is where we gain a lot of efficiency. The support team is the first line of defense there. They get the information to determine if they are able to quickly pinpoint the problem. E.g., the customer deployed, then two hours later, issues were occurring. This is when you don't want to waste time. Our support engineers need the visibility so they can immediately be able to communicate to the customer, saying, "Yes, it's on our side," or "It's on your side." If it's on the customer's side, they can let them know exactly where they need to go. This is where we gain most of the time.

It helps our operations that the solution uses a single agent for automated deployment and discovery. If you think about all the work in the past where we had different agents, tools, or scripts deployed to monitor specific aspects of an environment and different tools, then having one agent definitely helps. For example, for our rollout, when we migrated all the different tools to Dynatrace, we did this over the weekend. We installed the agent, then just watched the data and findings coming in, which was a huge benefit. We installed one thing an it discovers everything.

I suppose the solution has decreased time to market for our individual customers with new innovations/capabilities. Dynatrace helps them gain better insights, allowing them to do another deployment faster.

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It would have taken us at least two months to hire another person from SysOps to achieve registration, supervision, alerts, and APM implemented with cheaper or free open source solutions. It was much cheaper and faster to go with Dynatrace.

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It's really helping out. The term we call the mean time to repair, that has improved a lot. Before we had a "command center" type of setup. We had all the dashboards on the screen and five to six people sitting in front of the computer. When there was an issue they used to call a "bridge" meeting and everybody would login to the bridge.

The AppMon solution helped the OCC, the operations guys, to pinpoint one problem area and to call the specific group, instead of opening the bridge for everyone and asking them to join there.

The mean time to repair and the resource utilization time, they are totally reduced deploying APM.

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I think it has improved the way our company has functions because of the insight that we have now into our applications. On top of bringing in the AppMon product to our organization, we've also really been trying to push APM as a culture, trying to get everybody in our organization, developers, to start think about APM ongoing and in the earlier environment, like our system integration environment, our user acceptance testing environment, and our production environment. Having AppMon has provided the visibility and capabilities that we needed in order to be able to drive that culture.

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We do have the pockets today where teams have started to get better at giving us a cohesive view. We use AppMon a lot to fuel the metrics that we have. Therefore, we are starting to create dashboards on top of AppMon that pull together information from a few sources and actually provide that cohesive view. We are just now starting to proof of concept it with some of the business teams to see if we can get traction and start to fill in some of the gaps that we have.

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When our service response time was not matching the baseline, we realized that our Oracle TNS was getting too many pings, so Oracle recommended to us to utilize more persistent connections, so this is where Dynatrace really helped us narrow it down. Therefore, we are changing our call to use more data sourcing and connection calling. That is the real business benefit that we have received.

The real-time monitoring, which we are getting, is amazing. 

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Understanding and visibility, and the ability to provide the same answers across the different archetypes of support personnel, maintenance personnel, business personnel, executives, middle managers like myself, where we're all telling the same story and we're all working off of that same story, to understand what's going on.

The main benefit has been time, definitely. Over my career I've spent hundreds, if not thousands, of hours in war rooms picking problems apart, over-analyzing issues, chasing red herrings, and this type of solution, or solution set, not just AppMon but Dynatrace, and even the Synthetic portion, really helps us narrow down what we're looking for.

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We do not have an effective tool to monitor the PCF Cloud Foundry. Dynatrace closes that gap. We have tried using different tools to monitor Cloud Foundry, but they were all ineffective. 

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Our customer base is too immature on performance matters. Besides that, they are now working with Dev/OPs teams (more than 180!) where there is no governance overall. Every team can decide what they want to use with respect to tooling. There is no Business or Operational chain owner. View full review »

Dynatrace has reduced our total headcount in operations and the mean time to detect and resolve problems. As a result, those challenging offline times are much shorter, if not non-existent, because of this solution.

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This solution has improved our organization in several ways, including the speed of detecting problems, predictive maintenance, root cause analysis, and alert generation. We are also better able to understand trends with respect to user behavior like time zone connections, and the times when there is less usage of the system by users.

Our organization is too IT oriented. I think with Dynatrace, it has helped to bring value to the business because now we can speak using the same language.

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We have substantially lowered incidents in our organization. It is hard to really measure it exactly from a percentage of how many have been lowered. As a general statement, there is no question that the number of incidents and the duration of incidents have dropped. Even if we do get caught blindsided by some infrastructure failure or something, our ability to pinpoint the problem through things like PurePath have dramatically reduced incident time. Whether you want to argue about AppMon, SaaS, or cloud from a business value point of view, that is tangible even for our non-technical people at the bank. They get this.

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I won't say that it improved how our organization functions, but it has improved the time that we need to detect problems; not only before going into production, but problems in production.

Problems in production took us a long time, before, to find the real cause. With this tool, we find them in a very short time. In matter of minutes, we know what the problem is. We are in the banking industry, and in the banking industry you can't allow yourself to be offline.

For us, it improved our SLAs with the business side of our company.

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The issues are identified well ahead of time because there are a series of operations that form the upstream and downstream applications. The earlier we catch an issue in one of the upstream applications, we can handle it and put a mechanism in place to effectively handle the downstream applications. Without that in place, if something breaks in upstream, then we are definitely sure that some application in downstream will be affected. This is really critical.

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We display it on a big dashboard, allowing the teams to look at performance for each app within a group. Thus, it has a little bit of competition, if you will, such as my app is green and yours is not. Not only that, it allows us to see issues sooner rather than later and see the correlated issues. This is very important, because where I work many of the systems are integrated, or using the same underlying infrastructure. The tool allows us to see if it is an infrastructural related issue and see what is affected right away.

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When Dynatrace shows us an entire lifecycle. I can go back to my document and see A points to B, then B points to C, and so on. I can then back and see that I plugged it in every box to see how it is behaving and how the product is dynamically showing the AI behaving in a single place, like on a single webpage. This helps us to see the troubleshooting points or what is hiccuping. This is where we go. We reboot, fix it, or do whatever it takes for it to be taken care of.

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Once we started adopting this tool, it become an integral part of our business goals. As an industrial manufacturing company, the big investment and the interest area for us is to have our presence in the e-commerce platform, with stable and performing applications. This is a very critical business goal. 

A monitoring solution like Dynatrace is becoming a very integral part of that particular solution chain. Be it the CDN platform, or commerce platform, application performance monitoring is becoming a very critical piece.

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The metrics that it can capture and identify, based on the positions that have been defined help us speed launch time.

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When collecting data with Dynatrace, we saw every single transaction that happened in real-time. Whereas, with AppDynamics, they take snapshots, and we only see a tenth of the information that we did with Dynatrace. While the information is there, if an issue with an application happened in-between snapshots, it would not be readily identifiable. You would have to go hunt and peck for it. We don't have time for that.

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The main benefits are that, obviously, we can see the transaction throughout the entire infrastructure.

One of the things that we're embarking on is, we're trying to measure the impact to the business of infrastructure events and incidents, rather than using gut feeling or emotions of whether we feel there was an impact, or asking our customers, how were you impacted. We have data now to prove it. So it's just taking the emotions out of it and just providing the facts of the impact, of the incidents or events.

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We spend less time in root-cause analysis. That way we are saving man-hours, and focusing more on fixing issues rather than trying to find the real cause of the issue.

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We know it is a primary part of it and we use it for everything. It is starting to become a culture differential. People are starting to understand what it is and what it can give them. It is a slow process, but it is really changing and it is making people start to understand how their applications work.

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The main benefits have been getting to root cause on certain issues, being able to deploy applications faster because of the way that you can troubleshoot those issues. So delivering products to our business and driving revenue have improved.

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We isolated to root cause on multiple occasions, identified performance bottlenecks in load balanced app infra, and delivered unparalleled usage and performance reporting for newly designed applications.

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This is the first gate where we come to know if our external customers are facing any slowness in response times for critical page navigation irrespective of if there is any background issue or not. Once there is any slowness, an alert is triggered to the corresponding team and they immediately start looking into the background to find out any issue. This way, when a customer reports any issue, we can always assure them that we are already working on the issue and it will be resolved soon.

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The test automation feature has enabled APM to “shift as far left” as possible and has enabled us to integrate it within the Agile CI and accompanying unit test frameworks within that CI process.

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It is being used in a commercial organization for monitoring two high priority services. If you are changing some PCs or doing some updates, it provides some responses. It has been very useful for us.

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It alerts us, or can detect, potential problems which are building up. Then, it let us quickly adapt our websites.

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The benefits we receive using this tool increase productivity, which increase revenue for the state.  A huge benefit of having Dynatrace AppMon in our environment is the proactive monitoring it provides.  This help us avoid unexpected outages and downtime.

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First of all it's mitigating issues before they are in production, and if they do go into production, it's reducing the time to find the issue and actually resolve it. I believe, in the organization that we're in right now, that is challenged for resources and time, a product like Dynatrace helps immensely.

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The main time to resolve issues is coming down with Dynatrace. 

Previously, it used to take time to find out what was the exact reason, why this user is failing, what is the user's complaints. Now we can see proactively, this is the component that is failing, and we are going to fix it. The time to the solution has improved.

Regarding AI and managing performance problem in the cloud, it’s very important. We have a lot of monitoring tools. We believe that with the new Dynatrace AI, the alerts will be reduced. It’s only binding to one alert where the exact, root cause of the issue is, instead of giving a thousand alerts, spamming them with all the email alerts and services. Just one alert that says: this is the problem, this is the root cause of all these things.

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Unfortunately, I cannot tell you what the benefits are yet because we are not live with our Dynatrace monitored software applications yet. Our go-live date is in October. 

Right now, even before the go-live, I see the value because our ecosystem is pretty complex. We have applications above our middleware layer and then applications that are below the middleware layer, which are all 30 to 40 year old ERP applications, which are not Oracle nor SAP. Then, we have other custom applications that we have built which we need to connect. When there is a performance problem that comes up visibly to the customer above the middleware layer, most often the reason is not in these applications. It is in what we call the enterprise applications. Judging that, knowing that, and where to go to fix what has been very valuable even without going live. I am waiting to go live and see where the value is. 

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As a consulting practice, we invested significantly in our own monitoring assets to use in tandem with our core offer, IBM BPM. We felt the need for this as we were unable to find suitable tools for our needs. Either they were too technical, without any view of the end user perspective, or they were extremely hard to implement. With Dynatrace, we have different options that we are including as part of our projects. We are not investing valuable resources in developing custom tools, but rather focusing on our core activity and leveraging Dynatrace to offer the needed visibility and monitoring capability.

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We have quite a big application that is used by almost every single person living in this country. This application is quite mission-critical. So, it was very important to detect problems as soon as they appear anywhere in the application. Dynatrace was able to show us the problems immediately without even knowing the application, code, etc. It showed us all the problems, and we have been able to present reports and solve problems very quickly.

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The main benefits will be more proactive, high-quality performance monitoring and availability with more insight into the application. It is very impressive.

It has helped my business move forward probably just by taking the next step that everybody needs to think about, which is AI and the possibility of cloud. I do not know what direction the company will go with that yet.

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When I first started, it was about five years ago, I don't really recall what was being done for application performance monitoring. But about three or four years ago they put Dynatrace into place, and I know it's provided a lot of insight, especially when we had production outages, to troubleshoot and quickly identify the problem.

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Our organization basically runs on demand in production, but it is always enabled in pre-production environment. When we do release testing, we do at least one round of testing using the product.

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Customers are looking at our site, every second, constantly. They're able to do that because, if for some reason it goes down, I can instantly get it back up, because I know what needs to be fixed.

In the past, before having the tool, we were being notified by the brand, or the brand manager, "Hey, customers are complaining that our site is down." And then there was me, as a developer, trying to track down what was causing this issue. With Dynatrace, it's right there in front of me, it's a JavaScript error, or something I can narrow down.

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An additional benefit that we did not even realize at first were the dashboards! Dashboards were not even on our radar when we purchased it. Now, we have a giant TV hung in the office that shows various application and network metrics from a custom Dynatrace dashboard. We love it.

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The major improvement was the ability to find errors immediately and predict future failures, or when resources reach the maximum capacity.

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When something goes wrong, we have visibility into the system, can find the issue, and quickly get things back up. This was previously much harder to do.

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We are in implementation and adaptation phase. It would be very early to comment on this, but we are very hopeful.

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Right now in an AppMon, when you have DevOps teams looking to see where transactions are going through from business transactions, and they want to set up measurements to see how things are. And dashboards - dashboards are extremely important now. Thresholds are important.

After today, at the Perform 2018 conference, I can say more because I can see, even though we're AppMon 6.5 now, and we're going to Dynatrace, I was really impressed with everything I saw. The fact that I was impressed, and I was seeing everything, what the future looks like, made us feel like we made the right choice as to what's going on.

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Dynatrace is almost a single pane of glass solution.

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I am getting emails every day about how great this application is. We are rolling it out to a few teams. They are using it. They love it, and it is easy for them. They can just get right in, look at things, and say, "Oh yeah, there's an issue right here." I got an email today from another team saying, "Hey, this helped a customer with their slowness issue," So, it is good. 

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It has been transformational. We started out with DCRUM, it's ingrained in our business and we've got executives that look at that. Now, the same thing is happening with tools like AppMon and Dynatrace.

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Application monitoring is automated. Previously it was manual monitoring and having to check production servers, but using this solution we can configure the agents and look for alerts. It is very efficient and saves lot of manual effort.

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Gives systems back-end visibility, allows for proactive monitoring, and improves the user's experience.

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The alert mechanism has reduced hours of manual work.

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Dynatrace helped us with root cause analysis of poor performing components of our applications. 

With the Agentless monitoring and ability to create custom plugins, we've been able to transform the tool not just into a great APM solution but a really good enterprise monitoring solution too. 

The product allows us to build preferred/customized business transactions to track complex transactions. UEM (User Experience Monitoring) agents track user experience on webRequests. The advantage is that Dynatrace correlates the measures on the devices with those on the backend servers, giving us an end-to-end view of transactions, from the user's phone deep into the backend servers.

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In general, it has helped me go through different logs more easily when something breaks.

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One of the big benefits is being able to manage user expectation to better understand what the performance of our systems are versus what the users expect of those systems. We are also able to scale. 

We can prevent major system downtime because the system uses baseline monitoring. It can when something is about to horribly wrong and affect systems in a short while. This has helped a lot. We are more pro-active instead of reactive. Reactive monitoring in IT is always viewed in a bad light. People don't like it when you just react to problems.

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• Reduced incidents, as alert monitoring aids in quicker resolution of events.
• Reduces PTC and reduced incidents.
• Easier gaining stats for reporting.

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Dynatrace is a good monitoring tool. It helps DevOps find all its problems easily and analyzes performance problems.

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I think one of the interesting parts is they are going to deliver, in the new release, artificial intelligence, which is like analytics that will improve the correlation technology: What is causing the problem? So that will help us to drill down the actual problem, more quickly, rather than analyzing from another tool's perspective.

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It has helped us reduce time spent on root cause analysis. Whenever there's an issue, there are multiple teams involved, and we are using multiple tools: Splunk, Nagios, etc. If we have one product that gives one solution to the root cause, the issue, it reduces some of the operation time for our team, so we can spend most of our time on automation or something else.

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We use it, in many instances, to find the root cause in production. It has definitely helped out in many important critical cases. 

Business use case: One typical user could take down an entire post. Therefore, we had to institute Dynatrace to find out what is exactly causing it to pull down a question. For example, when you do not know if it is going down, then it causes an outage for the customers. 

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All the prior monitoring tools were based mostly on infrastructure. Everybody was really good at keeping their boxes alive and networks running. However, there was a big exposure point on API failures and no mechanism for service response for those. 

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At least we're able to pinpoint where the problems are instead of just saying, "Here's the results and here are the failures." At least we're able to tell them which calls, which methods were the problem, which interface. That was a huge step for us, to be able to do that. 

We are not the DevOps or the application team. We're coming from the testing side and, generally, it's challenging when you are working with an application built by a different team. When you run a test and say, "Hey! Here's your problem," unless you show the proof, you show the information, they're not going to be able to take it and make some changes to it. So the big first step for us was to identify where the problem was within the application. 

Now, it's mostly about, "What do we do about it?" You have these problems. What are we doing about making some changes and getting into the roadmap.

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The Managed SaaS is going to simplify things a lot and allow us to consolidate a lot of tool sets. We are going to be able to get rid of some of the old Legacy monitoring tools and replace them with something much better that puts everything in one place.

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The old generation tool from Dynatrace, the application monitoring, has been our defacto solution, and it was very successful. Switching over to Dynatrace it 

1. reduces complexity
2. increases the speed to market
3. reduces the amount of knowledge that is needed by applications consuming this data.

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Understanding what elements on the page contribute to load time and the primary areas to focus on for improvement.

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We are able to solve many problems using Dynatrace. The main thing we have achieved using this software is minimizing the downtime of our applications by reacting to the alerts that it triggers. 

The server monitoring is very accurate enabling us to identify the issues proactively and fix them.

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Dynatrace has been catering to AWS, and we moved into AWS. This resulted in us being pleased with the product.

Dynatrace has solved our problems.

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Dynatrace has helped us reduce outage times and severity of impact.

So far, we have not achieved the benefit of preventing issues.

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We are able to fix issues rather quickly, by identifying then fixing them. Therefore, the efficiency of the organization has improved. We are spending less time fixing issues.

Business case: We had a problem with the previous solution where we were spending more time on it. That meant increased costs. Now, we are spending less time, so costs have decreased. That is how you improve the efficiency of the organization.

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We have moved up to the next level, and once we move on to the cloud I think it's going to be more complex to monitor. That's where Dynatrace is going to help us, with identifying problems.

The benefit is that it keeps track of the application. The better the application is going to perform, the better the users are going to do their jobs. When we work with the customers it's going to be really helpful.

Overall it's helped our business in time savings. When everything happens on time you move on to the next job or activity, where you focus on things you really need to focus on.

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1. The deployment configuration and everything is simple. It is not that complicated. That is critical, because that saves time. Whenever something goes wrong, since in deployment everything is easy, you are saving time solving the issues. 
2. The user interface. The user interface is like a type of dashboard. You can use the tool as an end user into the tool interface, which is good. This is simple, not complex as where to find something. Any layman, if you give them the tool, who has knowledge of how to use an internet browser will be able to use the tool if you just explain it in a few words. It is intuitive.

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It increases productivity first of all, and it makes our troubleshooting efforts more efficient. We don’t do the war-room thing, I hate the war-room thing. A lot of the time, when there’s an issue, before they can even assemble the war room, I’m telling them, "Okay, the problem is here, you need to fix this and then we’re good to go."

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I used to be a monitoring person for IBM, for close to 10 years. I moved to monitoring Dynatrace recently, and I see lot of benefit while monitoring the microservices related to this product.

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It saves the company money.

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It will definitely be a benefit. We are using other tools to monitor other environments, and we have to switch between different tools when we have to do RUM, do synthetic monitoring, or do competent monitoring. It is really painful.

This is where I find Dynatrace pretty good, because it has everything in one tool, and you can monitor from infrastructure to synthetic monitoring, RUM, then performance data, etc.

That is the way to go, when you do not have to waste time between setting up the tools and seeing the metrics. That is what all matters. We can save time and still get the work done.

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Dynatrace has allowed us to pinpoint quickly any pain points our clients experience with our applications and respond accordingly. I like how fast we can deep dive into the PurePath to locate where issues are occurring.

We experienced immediate results with Dynatrace. During the POC/evaluation of the product, we found the application was making thousands of database queries unnecessarily causing performance issues. With this information, the development team was able to re-architect the app and improve performance.

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Our development group has started using Dynatrace extensively. It helps them find bottlenecks caused by code.

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I would definitely say it improved the functionality. We are able to prevent the major downtimes by proactive monitoring alerts.

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It has helped us deliver better solutions to our end customers, and helps them in their digital transformation journey.

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Within IT, we know that if there’s an alert, there’s a real problem. It’s a rallying call and people are responsive when that happens. It tends to be accurate so people are willing to respond to it.

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This solution has helped us to unearth quite a few issues that were present for a while. Also, it has helped us improve the performance of many of our applications.

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This solution has helped us with improving the monitoring and RCA.

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By using Dynatrace Managed, we have improved customer satisfaction and have also helped internal teams and subcontractors make the application more stable. Communication between different teams has also been made easier and more fluid.

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The first time I came across Dynatrace, I simply remember the WOW factor. Being a performance enthusiast since the mid 80's, I cannot remember more than a handful of such technical experiences!

Dynatrace excels in troubleshooting scenarios. You do not get samples or gaps. You get the real thing. That is absolutely important when troubleshooting the strangest situations.

Focus on root cause analysis has dropped significantly for the importance of alerts. I was used to be drowning in alerts, but now have refocused. I still have them, of course, but now they are about minor things. I see myself getting rid of them very soon.

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Dynatrace helps to build business and non-business dashboards and the appropriate alarming on mail groups.

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Currently, we are still in the proof of concept stage, but it has massively addressed time to deployment issues. The integration into ServiceNow has provided key data for populating our CMDB to include service mapping.

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Adds value to application owners, DB owners, and provides visibility on how end users utilize browsers and where they are originate from.

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We had a very quick turnaround, and it solved our problems. We get more insights into what our code is doing, where the bottlenecks are. The tool helps us to find the root cause much faster than other tools in the market.

Our team can find bottlenecks quickly, and work with the engineering team to fix the problems at a much faster rate. So this is the quick turnaround, and they can go to production with better quality, and make the user experience much better than what previously they were experiencing.

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We have not gone live yet. From a technical perspective, the expectation will be it is going to provide quick turnaround on issues and provide more stability. Based on how we observe Dynatrace, it will provide us some insight on what we can expect. 

From the business perspective, I think it is going to be a big deal. The conversion rate of people searching for a product and buying a product, these do not exist in our company right now. 

We expect there will be big business impact once we properly go live. 

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I have identified and fixed the following performance issues in non-production before we release the app:

• Identified memory leaks that caused heap utilization maxed out.
• Identified thread bottlenecks at JVM.
• Identified JDBC connection pool limits.

There are so many!

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We had an issue with Web Services going down in production, and we used Dynatrace to monitor the exceptions and alert the vendor to correct the service. This, in turn, helped minimize end-user impact.

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We have used Dynatrace for various projects. Everytime it has been really handy in identifying the root of the cause. We have used this tool to help in cases such as production performance outages and functional level issues.

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This solution has helped us with faster identification of the root cause, allowing faster resolution and increased uptime.

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In terms of tracing where the data is going, some clients don't want it to hit a particular instance, or even worse hit a database that is not part of what its designed for. Therefore,  it makes sure everything is where the customer expects it to be. It is a great tool for that.

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It's a different way of thinking. Before, we were with a big, monolithic app in the beginning before fully transitioning over to AWS Services, which has been breaking it down into a microservices architecture. It has allowed us to look at it and debug out from a different perspective. Previously, we were going in and looking at server logs, logging into SSH toolbox and debugging manually there. It puts everything in one place, so everyone has one center has one center tool to look at.

For what we're using it for, and having seen the other side of things, where we were debugging and looking into logs manually, then trying to run an analysis on them, it was a painful process. Looking at it from that perspective, it makes things a lot more user-friendly if you are using a tool like this. That is just been my experience with it personally, which is nice. 

It is tool for the job. It does what it's meant for and does what it is supposed to, which is good.

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Previously, some of our web publications were so hard to find that we would be constantly monitoring it using a graph and a type of installation tool. Now, it is very different. Dynatrace has reduced the time it takes to detect the service failing in production.

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We can analyse problems more quickly, and detecting problems becomes easier with Dynatrace.                               

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The benefit we've seen so far is the ease of configuration, ease of set-up, just drop an agent in the machine and off it goes. That's been good. 

Also, having a single point of availability of all your performance data has been a big benefit.

Another big benefit is to be able to track those individual transactions and being able to really pinpoint where your issues are, based on the individual activity. With the traditional monitoring tools, you generally just see infrastructure metrics, CPU, memory, disk; that's sort of outside, a black box of an application, and you can see how it affects your infrastructure. Whereas APM tools really crack open that box and make those other metrics almost irrelevant.

The ability to track that user, the real user monitoring, for me that's always the key, to unlock that. That tells you what your user is experiencing. Everything else is meaningless. For me, the number one measure of how your system is performing is what your user is experiencing on the front end. If they're having a good experience, the fact that maybe your infrastructure isn't performing that well is not really that relevant. Whereas before: "The CPU is going nuts." Well, our user is not impacted, I'm in the cloud, I don't really care. The system is behaving itself, the AI says, "Well, that's just normal." It just changes your perspective from looking at your raw infrastructure, to measuring performance on your user experience, just completely turns it around.

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The core features are the monitoring alerts and an easy, faster way of getting to the problem, and identifying what should be fixed.

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The main benefit right now is that we really know how production is behaving at any point in time and if we need to scale; we can be more proactive versus reactive, serving our customers. We have a number of different apps in other countries, so I think it gives us a holistic view, not just for one app, but for all of our apps.

It's all consumer-facing, so it has a direct revenue aspect to it. If things were to go down, we would lose actual revenue. So it's really not a nice-to-have, it's a must-have.

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The main benefit definitely is being able to pinpoint problems. I have spent a lot of time in the past on tools that did not work very well. You spend a lot of hours, nights, and weekends with VPs over your shoulder going, "What's wrong?" And, you can't find it. 

What I see in today's tools coming out is that artificial intelligence is very important to help minimize that time and get very specific with where the problems are coming from.

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The operation team gets a much more efficient tool to monitor the service end to end, 24/7. As soon as the monitoring service shows any performance downgrade, there are many tools inside Dynatrace to help us quickly troubleshoot.

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It helps to improve code efficiency and has quicker performance analysis. It is possible to shift left with performance testing and analysis by implementing Dynatrace as a performance check/gateway in CI/CD pipelines with fully customizable alerts, filters and performance baselining as quality controls.

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Since we moved to OneAgent, we are much quicker to address live incidents and problems that occur in our systems. This has given time back to our Ops teams to fix problems rather than spend time looking for the root cause. This had been problematic for us in the past.

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We can dig into Dynatrace to analyze data, then know where the user is going based on user navigation. 

Performance-wise, we can see if there are any issues. Then, we can dig into them.

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Dynatrace improved the resolution of problems by making it easier to find root causes and easier to predict bad system behaviour.

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It's given us a lot better insight into how our application performs.

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Out of the gate, I can tell you that just changing the agent model from having to go, "This is a Java, this is a .NET, this is a web, or this is an app," And getting rid of that to having the OneAgent is an improvement. Then, being able to monitor anything, literally anything on the infrastructure, that will be huge for us. 

Another thing is the log analytics. We have to work with the Splunk team. We have a very fractured organization, so anytime an application team wants log monitoring, they have to work with the Splunk team. Anytime we want log monitoring we have to work with Splunk team, it is a paperwork process. It is not that they are not nice people, it is just that it takes a really long time, and by then, the problem may be gone.

We really just need the immediate log analytics, because we might not need long-term analytics all the time. Like Splunk, they do awesome data analytics, but sometimes when we are troubleshooting an issue, we just need to look at where the problem is.

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Our organization really hasn't improved because they haven't adopted it very well. We've had it for three years and the adoption of it has been really, really slow.

One thing it helped with: We should never get traffic from outside the U.S. and we were getting traffic from Europe, and that was a problem. And we found out what caused it was that an agent outsourced some of their work to someone off-shore, and they weren't supposed to do that. Dynatrace helped us find that information out. We wouldn't have found it otherwise.

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It's reducing our manual efforts. Once you get the application guys to install OneAgent and it's done, there's no need for them. You can do every task. And AI, Smartscape, we're really into them. These are the things that are helping our organization the most.

In my organization, where we are using Dynatrace, three years back we were using Dynatrace AppMon in order to instrument .NET applications. It used to take time, because you had to onboard your resources from the support team, get that guy, get that instrument. It was a little bit of a pain, because you had to plan things prior and get these things started.

With this, the new Dynatrace, what's happening is we don't need to do all those things. Get that OneAgent installed and it does everything and it takes care of all the applications. It's actually simplifying my job. That's why I feel Dynatrace is great at this point of time.

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From a diagnosing standpoint, it has been a game changer. Before, we did not have monitoring, so anytime there was an issue, it was just guess and check. You would try something, and hope it fixed it. If it did not, then we tried something else, and did it fix it? No. Then, we would be up on phone calls at eight o'clock in the morning on a Sunday trying to figure out what went wrong with our last appointment. Now, within fifteen minutes (most of the time), we can diagnose or at least know where to look, after a problem has surfaced. 

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In the past, we would go into war rooms and contact each vendor fighting over what the issue was, as each vendor would blame the other vendor: infrastructure would blame middleware, middleware would blame server, and so on. Therefore, the issues were not visible. 

The app shows you where the problem is, so you can go to the correct person. While there was initial resistance, now they has accepted the tool because they actually see the data is correct (tangible proof).

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Prior to the use of Appmon, our team was in the dark. We had zero visibility into our production application, and it would take up to days to find out why our clients were being impacted and how.

Since Appmon has been leveraged, we are now down to just hours (sometimes minutes) in resolution times.

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It helps in many ways in our organization:

• managing capacity planning
• managing services performance
• tuning database performance and optimizing queries.

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This tool has been essential for monitoring our systems, gathering all performance data, and helping to quickly resolve difficult problems affecting our customers ability to process their work through our systems. 

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For our own organization, we manage to support a large application with a lot of users with only a few people (DevOps team). The insights we get via Dynatrace make sure that we can act quickly on incidents, or often even prevent them from happening at all. This way, we avoid "war-room" scenarios and focus on the things that matter.

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Reduced the impact to critical operation systems. Identified any major impact before getting into production. No down-time after using Dynatrace as APM for PRD.

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We used to work on two kinds of projects: banking and insurance. The second had a lot of performance issues, then came Dynatrace which has solved the problems, and our clients felt the difference.

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Not yet.

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Dynatrace monitoring is highly automated, enabling us to focus on more interesting things than having to maintain and configure everything all the time. 

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This has very much improved our organization. We now have a great solution for doing Application Performance Monitoring and doing synthetic checks.

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Dynatrace helped us to get a better understanding of how our services are communicating with each other, as well as better problem detection before something really breaks. We have been able to consolidate different tools, like standard host monitoring and synthetic checks.

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Dynatrace helps us to improve overall performance and allows us to detect the root cause of an outbreak on our systems.

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This solution has helped us to improve application performance and reduce issue-impact with faster resolutions.

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Dynatrace AppMon has allowed a deep dive review of performance problems in near real-time for our primary external website and related web apps and web services.

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We can report and monitor specific use cases which could not be monitored with SAP or other tooling. 

As of v.7.0, it is possible to use the web UI. Before that, it was too difficult using only a fat client

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It definitely helps, because my performance engineer, he can recreate a problem and he can give the developers what's happening, where to go look, all the information they need to be able to find what the root cause is.

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We moved to Dynatrace, because we were looking for one solution that could provide the real answers, not just data. That is what we wanted: One solution that would give back our reporting and a lot of benefits that we can find with Dynatrace. The benefit for our company is that we have one direction and one main solution.

This is more consideration to the performance issue with Dynatrace mainly because we have no dodgeball with jobs reporting and you can easily see performance on this application of this sector.

Dynatrace came up with a solution for everyone. It helps us to streamline fixes by easily showing bugs and what needs to be improved in a big system. We have seen overall improvement due to Dynatrace.

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For one of the trading applications, we were able to identify the slow performance query which was resulting in overall performance degradation of the GUI. The Query involved multiple joins and clause which when executed by multiple users slowed the overall DB response time. From the DB Chart in DT and DB Dashboard, we were able to arrange the Query within the SP against slow response time/execution time. Analysis resulted in optimizing the query resulting in improved performance.

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Previously, the team had to do manual monitoring but now we have Dynatrace to alert the support team for immediate assistance.

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While monitoring our site, I noticed over a period of time that our west coast users would see degraded service every night around 10pm. Ultimately, I was able to use the tool to prove to our CDN provider that they had an issue with their routers in the west coast that had to be corrected to solve our performance issues. Without the Compuware tool, we would not have been aware of the issue nor been able to prove the issue to our service provider.

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Since implementing this solution we have gained stability, with 100% uptime.

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• Greater insight into the customer experience and front-end user experience. 
• Bespoke dashboards and reports which help our business to grow.

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We got to know which modules of my application are used more by the customers, as well as which modules of my application are very slow. It has helped with my overall my performance statistics.

There are different phases of product development. In the testing phase I was not able to determine if things were going fine or what was going wrong in my application. But using this tool, I got to know - even before the customer got to tell me - this or that particular module was not working. 

Using this tool, I got to know the moment he got a page-out error on his screen. It told me, for example, a person in the US is facing this particular issue. Because the alert came, we worked on it, we resolved it and things were easy.

The moment he called us we just said, "Yeah, we have already acknowledged that issue and we have resolved it. You can just try it again." The person was happy. The customer's satisfaction has improved, overall.

We also got know many internal code bugs which could have caused memory leaks or other issues which we were not able to catch during that development phase.

We also got to know, on the network level, where the latencies were. If you go via Google, what Google says is that you have a number of things on which you should measure your performance. One is if there's an error or not. Dynatrace tells you whether is an error or not. Second is saturation, whether something is getting saturated. You should be aware of what is getting saturated. Dynatrace even tells you that. The third is if there is a latency. Network latency is also told to me by Dynatrace. So these are three things I got out of Dynatrace.

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It will allow us to eventually become more proactive when problems start arising. We can see them before they happen and address them before there is any impact to our customers. 

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We spend less time investing in problems. We can spend more time on developing new projects. 

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Performance has improved substantially since we started using Dynatrace. We are able to really keep the performance solid with daily monitoring and daily dashboarding. It is a one page view of exactly where we need to focus our attention each day.

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Some of the main benefits are being able to quickly identify when transactions start to slow or run into issues, or hiccups if you will, then we are able pinpoint them. Some of the other benefits are when we are trying to push large loads through in our test environment and everything comes crashing to a halt, then it will pinpoint where the bottleneck is.

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It provides the whole perspective in a single place when trying to guide the right people to go to the right solution at any given point in time. That is the biggest benefit.

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Because it is a good product, our customers are happy. We can help them faster than before. We can do more business with them, and we can have them develop better businesses for themselves.

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It helps us get to the resolution quicker, and potentially the root cause, and at least understand what is happening for future identification.

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We used to have a software perspective. Now, we will probably have more of a business perspective, as well. I am pretty sure we will be able to spread the use of monitoring information throughout the organization.

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The alerting mechanism where you get millions of dependencies analyzed, in one alert or "problem" as Dynatrace calls it. We are getting focused answers to issues in production, and moved away from the ops concept of "alert suppression", which historically has ignored seriously business impact due to over alerting. 

In short: The IT Ops game has been lifted, and silos have been broken down between traditional dev and ops.

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Dynatrace facilitates great live performance monitoring, allowing us to easily and visually detect problems before they become a large impact issue to the business. It is not uncommon to detect and quickly use various drill down options such as PurePath to quickly identify and provide initial analysis on problems.

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We have been able to customize incident alarms.

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We have a workflow in which we use Dynatrace with the developer and QA. We can test the application with load testing, duration testing, and then identify the applications ready for production. Sometimes, due to the findings, we have to go back to developing. Dynatrace it's really useful in that case due to the fact that we are able to avoid releasing a product that is not ready yet to go public.

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Dynatrace has improved our organization because we can see big problems in the most important systems before these issues will be seen by clients.

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Dynatrace gives excellent insight into the performance of our applications. This helps the IT department to respond quickly to problems because the root cause is reported by Dynatrace.

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The ability to solve production issues quickly is the most valuable improvement for each of our customers. Also, rolling out and maintaining the solution is more than easy and requires very little effort from the customers. This is unique compared to other vendors.

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• Reduced MTTR, thanks to smart problem detection and automated root cause analysis.
• Proactive monitoring of occurring problems and outages warnings.

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Dynatrace provides visibility into the application and its performance from the user to back-end services.

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It saves your reputation once you have a product out there in the market and what you are doing to keep it up and running. You have to make sure it is out there and the key benefit would be to keep your reputation.

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It has dramatically reduced the time it takes to problem solve webpages and coding problems.

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Dynatrace gives us a live view on our multi-tiers application. It brings light where we were blind.

• We have drastically reduced the delay taken by the diagnostic phase. As we identify the root cause very rapidly, we can now focus on the solution and communication.
• We have enhanced our dialog with our customers. By comparing their feelings with objective measures, we are able to optimize where the pain point are.

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There are multiple servers, so to track each server performance is very tough. Dynatrace really did an awesome job to provide us a better solution.

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We had a client experience where a high number of simultaneous users were choking system performance which we were able to identify and fix.

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Real-time information allows us to proactively tackle an issue before it affects our clients.

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With the help of Dynatrace, we have improved performance by 50% and determined conflicts in the application to eliminate errors.

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Dynatrace is an excellent APM solution. I have been working on products, like synthetic monitoring, user experience management, Keynote, mobile testing, etc. 

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Through analysis of transactions and transaction flow, we clearly saw the path taken by our transactions, and identified through drill down and PurePaths the time consumed by each class and method. The bottleneck was identified and the problem corrected.

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Speed to resolve problems, improve digital customer experiences, and full clarity of root causes independent of functional or system boundaries. Whether it is the server, database, network, or application, Dynatrace provides a consistent unambiguous view of performance. This saves time and money

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It is much easier to deploy, maintain, and delivery of high value insights, which almost immediately lowers the mean time to value and resolution of issues.

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It was an instrumental tool in the re-platforming of our b2b ecommerce solution. We are now branching into heavier business dashboards and real-time metrics to increase the bottom line.

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• It has helped us to deliver the numbers the moment it counts, and today every digital moment and every touch point is vital to your business
• Revenue, loyalty and brand image hinge on application performance and Dynatrace gives you the application insights you need to achieve digital success.
• Proactively spot and solve application performance issues before users are impacted
• Speed new applications and enhancements to market with DevOps functionality
• Pinpoint root-causes and optimize critical applications

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Provides more visibility into applications.                                                                     

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It has delivered on its promises and is now the single trusted source of information for various actors of the service support processes.

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Developers love the tool, because it is easy to use. They can immediately see how their code behaves.

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Full insight on app bottlenecks, mainly in production. This is very useful for the development lifecycle, too.

Dynatrace is a powerful tool for full stack monitoring with APM capabilities and AI root cause problem analysis. This helps our customers with their digital transformation and gaining insight into their infrastructure.

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It provides a better understanding of what is going on. It helps developers fix old and new problems, helps businesses to understand conversions, statistics, and service health.

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We can see all the degradation of services in real-time, then we know exactly what the root cause of degradation is.

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We have reduced our troubleshooting times and improved the way that we deal with most of the bugs in the applications. It's very easy to reach the root cause of the problems in the applications, due do the analysis with Dynatrace. The timeframe to update and fix the applications has been reduced a lot compared to what we had before Dynatrace.

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It has given visibility to how an end user utilizes and experiences our service offerings.

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As we have grown, we have increased our licenses to be able to use this across most of our products to help troubleshoot problems in production. We have also used Dynatrace in our performance testing environments to get ahead of issues before they make it into production.

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It has enabled us to have a deeper insight into our application availability and performance. Depending on the application, we have a lot of both internal and external components that are loading, and in most cases, we will detect our own internal but it is extremely hard (without an outside perspective) to detect these third-party issues. Dynatrace's synthetics has allowed us to pinpoint these problems and make improvements on how we can gracefully handle these types of issues without customer disruption.

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Thanks to Dynatrace, we now spend less time figuring out what went wrong and where. Instead, we can focus more on why it happened and work towards resolving the issue sooner.

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Real-time alerts allow us to address issues as they happen. Tracing issues down to the specific application and the specific method reduces troubleshooting time.

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Dynatrace is not only used by the IT Operations department but also by sales and customer service. It provides an overview of the service that we offer to the customers. The main benefit is that it helps the development team deploy more quickly and with better quality. 

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We have a DevOps team distributed between several offices and we need to keep track of every microservice evolution. Dynatrace helps us to do that, keeping the same dashboards and same links for problems in our production environment, or profiling at staging. 

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One use case: A customer blamed our data center, stating it caused broken sessions for their Citrix users. After looking at the network traffic data with NAM (ex. DCRUM), it was easy to identify issues within ISPs at Asia, and not in our data center here in Europe.    

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We are not blind anymore with our digital services performance; no more fire fighting. IT Ops is now proactive and collaborating with our development teams.  

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We are still implementing Dynatrace. We are in the process of a PoC to discover why our sync test failed. It also gave us the cause of what was at fault.

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Specifically, for the subteams that I'm on, it's very much allowed us to get real insights into the impacts of our changes. It's allowed us to see pre- and post-metrics and be able to provide dashboards for our business. It's been extremely valuable.

One aspect of development is the concept of continuous improvements. There are key screens in our applications. We get identification, through Dynatrace on its own, that these are our top ten slow preforming screens. They choose to invest in optimizing those, and then we can show them the outcome through all the dashboards.

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It eases the investigation process (faster feedback loop with clients), better pro-activity on possible outages (in order to avoid outages), and eases the process of fine tuning allocation of resources to processes.

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Very good for improving application performance. Gives us a view of the application, infrastructure, and users' experience with the application.

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We're using Synthetic along with AppMon, and this has been very helpful in pinpointing errors and new trends to help with investigation.

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The best example has been cost. We used Pingdom previously and Dynatrace proved to be a similar solution at a lower cost.

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Prior to the use of Dynatrace, the dependency mapping was knowledge that was built over time. The autodiscovery of service intercommunication has saved countless man hours and is dynamically updated when new services are added.

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It has given us a one stop solution for projects and applications independent of the application type and OS.

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Using this solution has increased log traceability.

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The Dynatrace solution has an important role in optimizing application code and SQL queries for customer solutions. It is also used for identifying, alerting, and reporting on real-time problems.

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This is an easy to use solution and our customers like it.

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• It is now easier to install and start using it. Installation used to be complicated with AppMon.
• Also, the user tracking and session play are great.

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• Simplified the way to monitor a medium to big environment.
• Reduced solution time when there are major breaks in the system.

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• Capability to focus on root cause problems. 
• No more war rooms in most cases. 
• Capability to troubleshoot isolated customer complaints with the user session feature.

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With Dynatrace, we can be more productive and agile. It allows us to be more accurate when we need to work with bugs.

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It used to take a lot of time to troubleshoot. Now, with Dynatrace, we can actually see the logs anytime we want. I can just find the problem. It has improved performance from a time perspective.

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We spend less time tracking down what's truly a problem and looking for problems, and more time actually solving the problems.

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Dynatrace has given us one simple dashboard to monitor all of our servers and web applications. If we have an application error, it is really easy to find the specific web request in Dynatrace and debug what went wrong.

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• Monitoring of application performance 
• Monitoring of infrastructure components 
• Monitoring of user experience
• Code level performance metrics

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We have done several improvements to our single-page apps to improve initial load and response times. We have improved performance in areas that Dynatrace APM identifies as "Hot Spots". One of the big wins for us is that we were able to find root cause of a long known memory leak in our thick client applications. 

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It has reduced customer complaints. We spend less time on troubleshooting issues since Dynatrace proactively informs us of an impending bottleneck.

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Real time monitoring helps reduce downtime. It also helps to get a detailed trace of each transaction. It saves a lot of time in determining what is the likely cause of an issue that an end user may be experiencing.

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We can see which step in a transaction is causing latency, right down to the particular Java class. The granularity is amazing.

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Dynatrace has made it extremely easy for us to identify the root cause of poor performing components of our applications. With the Agent-less monitoring and ability to create custom plugins we've been able to transform the tool not just into a great APM solution, but a really good Enterprise Monitoring solution too which helps replace the need for other tools such as SCOM, OpenView, SiteScope, etc.

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This has improved our organization because any kind of technology, even legacy equipment, is now monitored.

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Dynatrace solved various kinds of Ops / DevOps issues for our customers including bad code, bad configurations, operational issues, etc.

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The ease of use and full stack, 100% visibility inside the monitored applications has really helped us improve, showcase, and implement Dynatrace throughout our clients' systems.

Ease of problem detection,  alerting, visual timeline, and user-sessions are some of the best features of Dynatrace.

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We hope to improve our customer experience by making our webpage, native applications, and B2B interfaces function properly. In our environment, we have several databases and several types of code. The databases include Oracle, MSSQL, and MongoDB. 

It is critical to have the proper tool.

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It helps our organization identify potential problems by doing thorough analysis of systems which integrate with one another.

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Although, we are still implementing it, we have some servers using Dynatrace. We have been using it to find bugs in our production environment.

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Dynatrace shows the customer path, common errors on desktop and mobile, and allows us to achieve faster page loads.

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Mean time to recover (MTTR) has reduced significantly during major outages due to specific data pinpointed by DT applications.

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• Complete visibility into end-to-end user transactions.
• Automation and anomaly detection has helped reduce MTTR and MTBF. 
• We could impose optimization processes as well.

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It prevents (together with performance testing) production performance issues which usually result in customer complaints or system downtime.

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The dashboard allows us to monitor and proactively act upon any breaches in the threshold for our infrastructure. We have also had a couple of cases where Dynatrace identified issues within the code, such as memory leakage.

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I have reduced our disruption time. With the automatic alerts, we prevent and better catch the root cause of problems. 

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Developers have started to consult us (the Application Support Team) more than before AppMon had been implemented.

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One example is that we were able to identify a SQL query which ran multiple times (redundancy) and fix the issue, improving the overall system.

In addition, we are able to look for errors in the logs so we know what is wrong with the system, and then get a developer to fix the issues.

There is also a lot of information, such as a user satisfaction index, to learn about the customer experience regarding page load times or errors encountered on different pages. This information is valuable for the design team.

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Transparency and visibility into application performance, errors, incidents, etc. helps to foster a collaborative environment.

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At the moment, we are focusing on internal IT processes covering the entire application lifecycle. Later, we would like to work on EUE.

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Partnership with Dynatrace has given access to training, their knowledge base, etc. This has given us awareness about the latest trends in technology and how we can utilize Dynatrace to align with it. We have gained customers’ trust that we can provide them the best value from the Dynatrace solution.

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Because we have a 15-minute SLA, we have to see the root cause of the problem or the alert, what's the issue. It helps us to determine, quickly, as much as possible, to know what the issue is, what the problem is, and where it is. Also, it's helpful when there is a correlation on all, on the whole service and applications.

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It helps to identify the problem in a minute and user experience metrics provide valuable data to the business team to understand how the application performs at the end user level. Overall, it is an amazing tool for application root cause analysis and business function analytics.

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• Helps us to quickly find performance issues with new applications or new feature introductions.
• Allows us to see response time, failure rate, user experience, and visualize trends.
• Root cause analysis of problems with live systems.
• Performance and load testing evaluations.

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Improves the ability to isolate issues and determine root cause with the same tool. This has helped us determine the scope of an outage event and better determine an ETR.

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Dynatrace has helped us reduce the investigation time and troubleshooting time for any application issue.

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Understanding how the user was being targeted by the application as well as knowing their behavior using those applications.

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Our customers are now able to control their infrastructure with a single tool and can easily check the connections with all components. With the Smartscape and AI, they can see everything and have reduced the number of events.

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This solution helps the bank to detect problems faster.

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Dynatrace has an auto-baseline and uses AI to monitor the performance of each API. The response time is related to the baseline.

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• Ability to identify which pages are slow and cause frustration for our users.
• Ability to identify user browsers, user geographical location.
• Email alert and mobile app alert are very useful for informing the team that something is going wrong.

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Dynatrace has significantly increased a lot of our troubleshooting capability. As IT support team spends less time, they can focus more on other things.

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It helps with monitoring KPIs.

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It collects and analyses information with AI, which is useful.

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It reduces time and provides detailed info, showing problem correlation, and a single point of diagnosis.

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We were able to decrease the number of production defects ever since we started using Dynatrace in our test environment.

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Dynatrace has helped our customers to rapidly resolve performance issues, and most importantly, to correlate the results with the real user experience. 

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• Faster MTTR
• A proactive Ops team

We used to rely on multiple operations tools to monitor and obtain bits and pieces. Now, we have it all in a single pane of glass.

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We setup triggers for certain critical events. When these events happen, alert notifications are sent to the support team to take immediate action.

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My organization has leveraged Dynatrace for improving the quality of apps and streamlining in implementation.

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Once you have it running, Dynatrace will show you a picture of your environment that nobody else would have, except perhaps for the architect. IT environments are inherently complex, and this will help figure out what you've got in the environment.  

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Through the demo server, we were able to see the functionality of Dynatrace and plan to apply it to our internal systems.

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It is our main SaaS monitoring and alerting solution, and it allows us to identify many problems that we would miss if we did not have a comprehensive monitoring solution.

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The major impact of improvement is from AppMon in our development area. Now we are enable to find applications problems more quickly.

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It simplifies a lot of the processes of performance tuning client systems before they go live. It severely reduces the time spent doing performance test cycles. We used to do three to four weeks of tests, and with clients using Dynatrace we can normally do it in one week.

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Besides being an Application Performance management platform, Dynatrace has many important features that are easy to use. This gives us more time to focus on business. From installation to page load analysis, passing by monitoring hosts. Everything works like a charm.

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• Improved visibility on performance and application issues.
• Automatic instrumentation of new services and technology without the need to install specific agents or modules.

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Has helped us find issues such as application suspension and to improve web services data.

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We use this product with the goal to improve our abilities.

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It highlights areas that we could be doing better and increases our performance metrics by showing the biggest pain points. The analytics are amazing!

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• Mean time to root cause analysis decreased drastically. 
• It allows us to address issues directly. 

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This solution has helped us to reduce the time to detect the root cause incident and also to avoid missing incidents.

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The functionality needs improvement.

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Finds issues that previously occupied people for months. Just pointing the finger at a problematic piece of code is magical. Business and IT come together to understand how apps work, no more unproductive discussions and blame game. 

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Many clients have been able to reduce time on troubleshooting, since they find the problems before they launch the system, by running tests with Dynatrace.

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