Dynatrace Scalability

BP
Manager, Performance Engineering at Medica Health Plans

It could handle a much larger environment. I add ActiveGates mainly for redundancy. I don't think I need as many as I have. I could scale it out very large. I don't see any limitations. I've never had a problem with that other than my checkbook.

We've tried scaling it to cloud-native environments a little bit. We have a few things that are off-premises, like Microsoft Dynamics and Salesforce, which are in the cloud. We have a cloud-based application that does provider credentialing, as well. We don't have anything that we own in the cloud, so we can't instrument AWS or anything like that with it.

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Manish Ved - PeerSpot reviewer
Lead Infrastructure Domain Architect (Systems) at a healthcare company with 10,001+ employees

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

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MA
Monitoring Services Manager at Vitality Corporate Services Limited

Because it is an automated deployment, you can scale it up quite easily.

We have scaled the solution to AWS. We have not encountered any limitations in scaling to this cloud-native environment.

There are maybe more than 100 people working on Dynatrace: product managers, project managers, architects, developers, C-level, IT operations, service delivery managers, service managers, and testing.

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Buyer's Guide
Dynatrace
April 2024
Learn what your peers think about Dynatrace. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
767,667 professionals have used our research since 2012.
RM
IT Technical Architect at a insurance company with 5,001-10,000 employees

At this point, we have about 1700 host units. We're monitoring 2000 to 3000 systems. We have 300 to 500 users a month using the systems with approximately 700 users overall. 

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KapilK - PeerSpot reviewer
Senior Manager, Technical Architect Performance at Duck Creek Technologies

I rate the tool’s scalability an eight out of ten.

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MK
Senior Director IT at BARBRI Inc.

In terms of scalability, we don't have anything that it can't do. As we add to our infrastructure, it scales. Yes, every time we add a node, we're going to spend more. But it's up to me to decide if I want to monitor everything or a set of everything. My philosophy is to monitor all of production. Anything that is deployed to production is being monitored by Dynatrace. 

From a dev and test perspective we don't monitor like that. We keep a secondary Dynatrace instance that we use in the event that we need to troubleshoot something in development, but for the most part, our Dynatrace usage is relegated to production. And that's for cost reasons.

We have four environments in our builds. We have production, where we cover everything. We have a development environment, which is a subset of production, with different copies. We have QA, which is where everything goes from development for final testing. And then we have staging, which is the final step before it's pushed to the production clusters.

As we add to production, we add to Dynatrace. That is always going to be the plan. We will not deploy anything to production that doesn't have Dynatrace on it.

I don't get involved in the minutiae, but from what the guys tell me, with Linux servers you don't even blink. They have to watch Windows servers a little bit more because it's more intensive. Windows itself doesn't tend to perform very well when you first build. You've got to massage it and get it to where you want it to be. Dynatrace helps us with that, but Windows is more finicky.

We have about 50 users of Dynatrace between infrastructure, development, operations, and sales.

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Mark McDonald - PeerSpot reviewer
Infrastructure Engineering Lead at The Star Entertainment Group

Dynatrace is massively scalable. I would rate the scalability a ten out of ten. 

We have around 200 users using this solution in our organization.

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DH
Manager, Ecommerce Support at a retailer with 1,001-5,000 employees

We have 96 users logging into Dynatrace right now.

Our primary eCommerce environment is Salesforce Commerce Cloud. That is where we have the agent list SaaS solution implemented. We also have internal API servers within Azure, where we've implemented user agents to track them. We have not encountered any limitations in scaling to cloud-native environments with Salesforce Commerce Cloud. We've had remarkably smooth deployments.

We have not scaled up to any other environments at this point.

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SK
Senior Manager at a financial services firm with 10,001+ employees

The solution is easy to scale through the active gate. 

We have more than 100 users across our infrastructure or enterprise applications and plan to increase usage in the future.

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RS
Managing Enterprise Architect Individual Contributor at a tech vendor with 10,001+ employees

Dynatrace is scalable. I would rate it a nine out of ten.

We have an application, management, and support teams looking into things. We have our help desk and service desk looking at various dashboards. Certain dashboards are being examined by our developers. It is frequently used by between 60 and 80 people.

I believe we are currently using all of the functions and features. It's operational, it's production, it's living and breathing.

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KM
Director, Digital Projects and Practices at Rack Room Shoes

It's extremely scalable. We're one of the small players. We're running with about 70 agents right now. We've been at Dynatrace's conferences and have heard of customers who can deploy 5,000 agents over a weekend and have no issues at all. For our small spec-of-sand space, it's extremely scalable.

We are hosted on Google cloud. That's where all of our VMs are currently set up. Our database is there, our tax server is there. All of our application and web servers are there, and Dynatrace is monitoring all of that for us. We haven't encountered any limitations at all in scaling to our cloud-native environment. We can spin up new auxiliary servers in a matter of minutes and have Dynatrace agents running on them within 15 minutes. We're starting to play a little bit with migrating a version of our application into a Kubernetes deployment and using Dynatrace to monitor the Kubernetes containers as well.

We have plans to increase our usage of Dynatrace. We just recently updated our hosts. We needed to increase the number of host units so that we could put Dynatrace on more servers, and we've already just about used up all of those. So next year, we'll likely have to increase those host units again. And we're going to start using more pieces of Dynatrace that we haven't used before, like management zones and custom metrics.

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JS
Monitoring Observability Specialist at a financial services firm with 10,001+ employees

Dynatrace is a highly scalable product since it is a SaaS-based application. As it is a SaaS-based application, you can deploy ActiveGate wherever you need it or closest to your environment.

Though I cannot check the list of the users who use the solution and don't have access to see the number of old users, many people use the solution. It would be close to around 300 users presently who use Dynatrace.

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CG
Technical Lead at Royal Caribbean Cruises

It can scale very well and very high. We don't need it to scale as much right now. It is able to absorb a lot of the systems that we have with the agents and and the API Gateways. It seems like it can scale very well when we need it to, so scalability is good for us right now.

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it_user815400 - PeerSpot reviewer
Senior Technical Systems Analyst at a financial services firm with 10,001+ employees

As an organization we keep growing, because everybody wants AppMon. Even within my last two years, since I've joined the team, I think we've added four new production servers and probably eight to 10 including dev and QA. However, instead of having two very large Dynatrace servers, we had to scale out laterally. 

We've had challenges. I would say it's not scalable, because we've had to move large applications that were in a shared environment to their own separate Dynatrace server instance. Those are some of the challenges we do have.

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AP
Architect at Highmark

It does scale well. 

Right now, we have some performance issues with Dynatrace AppMon, but the AppMon team is working closely with us registering the number of issues we are having and providing an extra set of tools that helps us to make the performance of the tool better.

One of the performance issue is when we are trying to bring up user data, such trying to bring up 20,000 or 50,000 PurePaths. That is where it is taking like five to seven minutes. When we are on a call, we do not have that much time. We want to make it approximately less than two minutes. They are doing a great job on that.

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GF
CIO FNB Business Lending at First Rand Bank Ltd.

It is very scalable. Agents limit its own consumption, no longer impacting server hosts.

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it_user815397 - PeerSpot reviewer
Senior Manager APM Team at a financial services firm with 10,001+ employees

So as far as AppMon, we knew where there were ceilings in the product. We've got a pretty big company and we hit some of those scalability limitations early on, to the point we were running about eight AppMon servers just for production load alone. One would never handle it. 

The thing that impressed me about the new Dynatrace Managed offering is that people are seeing, here at the Perfrom 2018 conference already, about 100,000 host limitation, at this point. But that's more than enough for us to handle our entire production infrastructure, so I'm looking forward to actually collapsing all of the AppMon stuff into one big solution where I can see, end-to-end, any app offering. Even if it crosses lines of business, you get full visibility. So I'm very impressed.

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Varaprasad - PeerSpot reviewer
Senior Technical Lead

I would rate the scalability of this solution an eight, on a scale from one to 10, with one being the worst and 10 being the best. There are some 50 people using this solution in our organization.

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SA
Solutions director at a tech services company with 51-200 employees

It's very scalable for tens or hundreds of servers. We didn't see any scalability issue. Some customers have over 10,000 applications monitored by Dynatrace.

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AC
Data Engineer Manager at Creditas

The solution scales well. It's one of the most scalable options. If a company requires a solution that can expand, this is a good option.

We use it for organizations with 6,000-7,000 employees.

These are pretty new implementations. Therefore, up until now, there is no demand for my customers to scale or expand. However, I do believe that in two or three years they will definitely need to.

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RF
Senior Product Manager at a computer software company with 1,001-5,000 employees

We have 115 users, which includes Level 2 and 3 supports, service design, product management, cloud infrastructure management, software developers, software testers, and product architects.

We are only in an early phase at the moment regarding the use of Dynatrace. Currently, we are only using it on two critical platforms. Going forward, we're looking to expand to nine critical platforms.

Our adoption rate across the portfolio is low because we're still in a pilot phase trying to build out our business cases.

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JL
Front-end Architect at Rack Room Shoes

The scalability has been able to meet all of our needs. We have not encountered any limitations when scaling Dynatrace with the Google Cloud Platform.

In the past 365 days, we have two websites that we monitor with Dynatrace, including mobile apps. We've recorded over 23 million sessions for Rack Room Shoes and 8.1 million sessions for Off Broadway Shoes. 

There are three users who are active users of Dynatrace:

  1. The user experience architect, who is designing new interactive features and studying customer behavior
  2. The product owner, whose focus when using Dynatrace is on the metrics, dashboards, and the user experience as far as using user sessions, queries and Session Replay. They may troubleshoot or look into problems as well.
  3. The back-end architect, who looks into certain problems and figures out with Dynatrace where they're coming from. They use information from Dynatrace for writing more detailed support tickets.
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PankajSingh4 - PeerSpot reviewer
Senior Specialist at Qualitest

Dynatrace is a scalable tool. In terms of scalability, it's an eight out of ten.

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SD
Principal Member of Technical Staff at a tech vendor with 10,001+ employees

Dynatrace is a scalable solution.

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RM
DevOps Leader at a legal firm with 501-1,000 employees

To this point, I've not had any problems with the scalability, aside from ensuring that you have provisioned enough units. However, that is another point that is related to pricing.

Essentially, its ability to scale and continue to work is fine. On the other hand, its ability to predict the required scalability in order to purchase the correct number of various units is much harder.

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JC
IT Delivery Manager at a program development consultancy with 5,001-10,000 employees

It absolutely suits us. In terms of the wider bank, within Virgin Money, we can absolutely look to spread it across other applications, which we will be doing. But I think we've probably got the critical ones covered. We can obviously see the benefit, we just need to fight the right battles at the right time to get those things put in.

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SS
Software Systems Analyst at a manufacturing company with 10,001+ employees

This is a scalable solution. 

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TR
Works at a financial services firm with 51-200 employees

For us, Dynatrace is scalable and we haven't seen any issues with that. We did need to install a larger server, but that's because we have a managed environment. You don't have that problem if you go with the SaaS environment. We don't see any negative impact on the scale of our products, and we are already quite large. It's quite scalable.

In terms of the cloud-native environments we have scaled Dynatrace to, we are using Dynatrace on an OpenShift platform, which is a Docker Kubernetes implementation from Red Hat. We have Azure for our CRM system, which Dynatrace monitors, but we are not measuring the individual pods in there as it is not a PaaS; it's a SaaS solution of course.

As for the users of the solution, we make a distinction between the users who are deploying stuff and those who are managing the Dynatrace stuff. The latter would be my team, the APM team, and we are four people. The four people are installing the Dynatrace agents, making sure the servers are alright, and making sure the management of the Dynatrace system itself is okay.

The users of the tool are the users of the different business cases. That includes development and business. There are about 500 individual users making use of the different dashboards and abilities within Dynatrace. But we see that number of users, 500, as a bit small. We want to extend that to over 1,000 in near future. But that will take some advertising inside the company.

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it_user245445 - PeerSpot reviewer
Sr. IT Manager eCommerce Operations at a retailer with 10,001+ employees
JL
Senior consultant at a computer software company with 201-500 employees

Its scalability is awesome. It is really easy to scale in any direction. For SaaS, you don't have to think about scalability, and for on-prem, it is very easy.

It is mostly on-prem, and we have the largest US companies as our customers. The largest deployment has 200 to 300 users. They are not concurrent users.

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JB
Software Developer at a government with 1,001-5,000 employees

The solution can scale quite well.

Basically, the way it works is you put in it, you put an agent into each of the deployments you're using it to monitor, and then it just gathers data. It doesn't really impact the operations of things. The majority of its work is actually done by the parent in the cloud.

We have one or two administrators and various people in the company have various levels of access. We have quite a fine-grained control over what people can see, however, at the same time, we can provide some useful information to them to know what they need so that they can know what they actually do need to know to do their jobs.

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it_user815277 - PeerSpot reviewer
Platform Engineer at a financial services firm with 10,001+ employees

I have never been more confident in a tool because I've seen how easy it is for it to deal with the .NET Applets. That is a big problem in AppMon. Unless every single person is naming their Applets, the exact same way and following the exact same pattern, it becomes an issue. The new tool does not run into that at all. Similarly, you can script it so it just automatically blasts across the organization. As long as it has the PurePath capabilities, somebody who is running, for example, the actual web application that tells people their accounts, that might be a different, more in-depth use case for AppMon versus Dynatrace. So far, the scalability of the solution is phenomenal. 

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it_user520278 - PeerSpot reviewer
Software Engineer at a pharma/biotech company with 10,001+ employees

It is limitless when it comes down to being able to scale up or even scale back, if we need it to. 

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it_user815403 - PeerSpot reviewer
IT Analyst Senior at a financial services firm with 10,001+ employees

I think the design is pretty scalable. It's pretty easy to add additional nodes if we need to. Also, it's easy to migrate changes from one environment to another. That makes it so you can scale it. I think it's met our expectations for scalability.

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SY
Senior Analyst APM at a manufacturing company with 10,001+ employees

No scalability issues.

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AS
Associate Director, Application Performance Management Solution Design & Engineering at a financial services firm with 10,001+ employees

It's a scalable solution with a true cluster platform that can be expanded. It works very well.

We have 200 users in our organization who are using it.

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it_user815295 - PeerSpot reviewer
Lead Performance Engineer at a retailer with 10,001+ employees

We have had some struggles with scaling. We are on our way to the new platform, the new Dynatrace platform, which will alleviate some of these pains. We were not expecting the level of adoption that we got with the product. We brought it in thinking a few of the teams in a segment of our company would want to use it. Everybody jumped in on it and jumped in on it really quickly. Therefore, we quickly ran into scalability issues, but we are working on alleviating that going forward.

We were on AppMon, and AppMon has its own monolithic drawbacks. On the new platform, we will not have any these problems. We can scale in the cluster horizontally.

The role of AI when it comes to IT's ability to scale into the Cloud and manage performance problems is very important. We were hitting a problem with our scalability issues but now we are going larger. Part of the problem is we have so much data and we have no idea how to use it all. We would find blind spots and be able to help and do what we can when the issues came to us. If we had the issues telling us when there were problems before development and before call centers got the problems, we could retroactively go out and get the problems before customer call centers had problems. We have a problem inside the company that we have so much data and we have no idea what to do with it all. AI will help solve that issue and help move us forward. It could pull the stuff that is problematic, the most performing or non-performing issues, in areas where we want to see certain things.

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it_user815337 - PeerSpot reviewer
Monitoring Team Lead at a logistics company with 10,001+ employees

I haven't hit that one yet, and I have to eventually, so I'm hoping scalability is going to be good.

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it_user815367 - PeerSpot reviewer
Availability Manager at a financial services firm with 10,001+ employees

We have a lot of our infrastructure on it, so it's meeting our needs, for our enterprise. We have thousands of agents that are out there in over a thousand applications, and it's meeting our needs with that.

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it_user787395 - PeerSpot reviewer
Service Operations Manager at a media company with 10,001+ employees
it_user255393 - PeerSpot reviewer
Senior Systems Administrator Leader/Performance Engineer at a tech services company with 10,001+ employees

No, it is very scalable.

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PrashanthShetty - PeerSpot reviewer
Project Manager at QualityKiosk Technologies Pvt. Ltd.

The solution is scalable, we have around 50 users. 

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CM
Head Of Product Development at Stefanini SCALA

The solution can scale, however, if you have a large amount of infrastructure you will need to pay more. I find that if you start with just a small part (the critical part), you'll better understand why you need more of it and scaling will come naturally. It's not just about managing the servers and applications. It's about the user experience too.

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SE
Cloud Solution Engineer at a financial services firm with 5,001-10,000 employees

Currently, we have around 2,000 to 3,000 users. It is very extensively used. We are covering all our production systems and major revenue systems with Dynatrace. It is our primary monitoring system.

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SA
Senior Software Engineer in Test at Autodesk

There was an issue on-premise. We were trying to troubleshoot a production issue. We had to run a bunch of queries for different time frames to see where the issues were and how recently they had been seen. This crashed the Dynatrace server.

We are now moving slowly moving in installments of the AWS version because our environments are not large enough right now. So, we haven't tested it yet.

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it_user815382 - PeerSpot reviewer
Test Manager at a university with 10,001+ employees

With the AI, it seems very scalable. 

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it_user815322 - PeerSpot reviewer
Manager Application Development at International Flavors & Fragrances Inc.

Not yet, we started just six months before. Right now, we are on six to seven applications been monitored. 

We started implementing microservices. Microservices means now it is hundreds of services. In the future, maybe in three to six months, we are expecting thousands of services will be implemented. In this way, the solution will definitely help us to identify the entire thousands of services that need to be monitored. So, it will gives us some alert and we build on it.

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it_user815289 - PeerSpot reviewer
Vice President at a financial services firm with 10,001+ employees

We scaled from 300 agents to 800 agents in six months. There were no issues at the server level, which is pretty good.

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FerencJordanics - PeerSpot reviewer
System Engineer at a tech services company with 11-50 employees

I rate the tool's scalability a ten out of ten. 

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RW
Senior Product Manager at SAP CX

We have about 2,500 people using it.

We currently manage seven Dynatrace clusters with several thousand Dynatrace tenants, then in total almost 30,000 hosts are monitored with Dynatrace. We're not reaching the limits of Dynatrace's scalability. This is probably one of the largest deployments, but we have not seen any limitations so far.

We want to leverage even more services:

  • Real-user monitoring
  • Possibly look into session replay.
  • Expand the footprint of synthetic monitoring.
  • Build more integrations by leveraging all the data Dynatrace captures for custom metrics into our BI reporting, billing systems, internal cross charging functionality, and scaling/optimizing our environments in terms of resource usage. 

There is a lot of data in Dynatrace at the moment that we do not fully utilize.

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it_user815376 - PeerSpot reviewer
Tech Lead Infrastructure at a financial services firm with 10,001+ employees

We have a small portion deployed right now, but they're planning to go enterprise-wide, we're thinking about 8,000 to 10,000 agents, so probably at that time we'll know the scalability. But the small one we have right now, it's good. It's doing well. The UI is faster, people like it.

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it_user815409 - PeerSpot reviewer
IT Application Analyst Senior at a financial services firm with 10,001+ employees

We've had some scalability issues with the AppMon product. We're rather large, we have a lot of shared infrastructure, and a lot of shared code. We have one single profile, and we throw a lot of data at it, a lot of applications, we have a lot of agents, so we have had some hiccups in the past with that environment not being able to handle that. But we've worked closely with our contacts at Dynatrace who have been helping us through those situations and trying to improve that going forward.

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it_user815235 - PeerSpot reviewer
IT Manager at a financial services firm with 10,001+ employees

This one I would defer to my team a little bit, but I do hear a few gripes scalability-wise. It is a very good tool, and we have got it to do what we need to do. However, I do know that for the size of our organization, we're talking thousands of agents and hundreds of applications, it does get to the point where the servers themselves that house Dynatrace are at a point where, in some cases, they are just too big for one machine, since you have to have an entire application ecosystem all funnel into a single system. One of the things we run into is, when we deploy agents, it is a bit finicky sometimes about how that happens. We have had to put in measures to make sure that applications do not get an upgrade for Dynatrace until we specifically quarter them off, making sure that we have a very careful process to troubleshoot them because we have had several instances where applications have had issues after an upgrade.

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it_user815268 - PeerSpot reviewer
Senior Developer at a logistics company with 1,001-5,000 employees

Scalability is pretty good.

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it_user815232 - PeerSpot reviewer
Platform Engineer at a financial services firm with 10,001+ employees

I hear it is supposed to be improving. My impression is mixed. We have a lot of Dynatrace servers with a lot of agents, so we are pushing the capacity of some of those servers. At the moment, we are not doing any cross-server stitching between the agents, so we are missing out on that piece a little bit. However, that will improve with the next version. Therefore, we are managing the capacity, but currently it is decentralized.

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it_user815412 - PeerSpot reviewer
Manager Of Digital Resiliency and APM at Royal Bank of Canada

The AppMon product hasn't been historically as scalable. That is one of the reasons we're really excited about Dynatrace product, because it was redesigned for scalable environments with scalability itself in mind.

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it_user815214 - PeerSpot reviewer
System Engineer - SiteScope Owner and Tech Lead at a manufacturing company with 10,001+ employees

It scales well. 

The only thing is we do have requirements where if one datacenter fails, you need to switch to another datacenter. On this front, Dynatrace was not built. They have active to active standby, but from our talks with Dynatrace, they are not built between datacenters. They need to be logged in at the same datacenter, and if they are logged in at different datacenters, there might be some issues. That is one thing they need to improve on: Datacenters which are geographically located. So, when there is a issue in the datacenter, they can just automatically rollover to another datacenter. 

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it_user138303 - PeerSpot reviewer
Owner with 51-200 employees
I can't answer this question, because it is not deployed in a broader way. I'm not convinced to deploy a large scale solution, because it consumes an enormous amount of data resulting in a decrease of retention time. So I advise to deploy more DT instances where every Dev/OPS is responsible for their own DT instance. View full review »
DermotCasey - PeerSpot reviewer
Principal Technology Consultant at Vodafone

It is pretty scalable.

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BL
Associate Consultant at a computer software company with 10,001+ employees

This is a scalable product but you ought to have multiple instances to scale it.

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EV
Managing Director at a computer software company with 501-1,000 employees

Dynatrace has phenomenal scalability capabilities.

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reviewer1098759 - PeerSpot reviewer
Works at a computer software company with 1,001-5,000 employees

We cannot properly address scalability yet.

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it_user815241 - PeerSpot reviewer
Senior Director at a financial services firm with 10,001+ employees

I have not been aware of any limitations. I know that the older version of AppMon, the so called classic version, had some limits on number of agents per server. However, those limits never really caused a challenge for our particular topology.

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it_user815445 - PeerSpot reviewer
Capacity And Performance Manager at BBVA

We feel quite comfortable with the scalability, because we have a very huge environment. We have more than 10,000 agents installed, and we have scaled from the beginning. Right now, we have bought a lot more agents because we are deploying microservices and, for us, it works.

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it_user815292 - PeerSpot reviewer
VP at a financial services firm with 10,001+ employees

It is scalable. We initially started with fewer agents because we just wanted to have the development team working with this new product. Therefore, we started small and have not had any issues scaling up to what we have. We never had any incidents because of it neither in VM or physical boxes.

The role of AI when it comes to IT's ability to scale in the cloud and manage performance problems is definitely very important. The sheer volume of data we are creating from across all these systems is one of the critical pieces of the enterprise window that happens from 4:00 to 7:00 PM EST, where we send out all the NAV updates to various clients including NASDAQ. There are a variety of products which have their own limitations and quality of information. It is necessary to focus all the important technologies into a single source so we can follow the timelines and know exactly who is going to call us.

With the new managed OneAgent, that is what we're looking at. Currently, we are on AppMon, so we need the AI metrics in place at least until the process of OneAgent to manage the elements that is there. Then, we will see the critical elements and information.

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it_user815202 - PeerSpot reviewer
Senior Specialist at a logistics company with 1,001-5,000 employees

The scalability of the solution is good. We initially started with the first three major critical applications, which is where I was introduced to this tool. Right now, they are moving on to the top 21 applications, which is going to be good scalability. They did well.

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it_user815460 - PeerSpot reviewer
Technical Team Manager at a manufacturing company with 1,001-5,000 employees

It does scale really well. We started with monitoring a very limited number of applications, and then we started expanding our scope, and we have kept on adding more and more applications under this portfolio.

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TS
CEO at Rufusforyou

It's both scalable and stable. We've never had an issue.

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SB
Sr. Technical Consultant at a computer software company with 1,001-5,000 employees

The solution is pretty scalable. It's flexible. A company can scale fairly easily if they want to.

We have a small number of people on the solution currently. They are mostly application architects or developers. We are using it only as a POC right now in a particular business area.

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SC
IT Specialist at a government with 10,001+ employees

Dynatrace is very scalable. We grew it over the 12 years that we had it. So, that has proven that it is scalable. 

AppDynamics is scalable as the environment grows. However, we are still in the product's infancy, so we haven't seen this happen yet.

A company with a single application over multiple locations, like a retailer, but only needs to worry about one application and monitoring it, this is the perfect fit for AppDynamics. If you have an organization with more than 40, you definitely want Dynatrace. AppDynamics is not a viable product for an organization with lots of applications.

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it_user815349 - PeerSpot reviewer
Senior Architect at a healthcare company with 10,001+ employees

I think scalability is what we're struggling with. I would say it's okay, but there's a little bit of room for improvement.

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it_user815346 - PeerSpot reviewer
DevOps Manager at a insurance company with 10,001+ employees

We have not used it in a big environment yet, so I'm not quite sure how well it will perform. I hope it will perform well.

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it_user815226 - PeerSpot reviewer
Platform Architect Senior at The PNC Financial Services Group, Inc.

Scalability is getting better. It has had its issues. We have scaled it very large, and it is getting better. The newest version will scale, but we have not tested it yet.

View full review »
it_user815451 - PeerSpot reviewer
Senior Systems Analyst at a leisure / travel company with 1,001-5,000 employees

It's easy to scale. It's costly, but it's easy to scale up. I haven't seen any issues in terms of increasing our user base or the number of the agents that we have deployed, so I think it's pretty easy in that respect.

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it_user19185 - PeerSpot reviewer
V.P. - Pre-Production Performance Architect at a financial services firm with 10,001+ employees

Initially, we had issues scaling it to the enterprise level on a large, complex environment.

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RS
Enterprise Monitoring | Information Services at a healthcare company with 5,001-10,000 employees

We have not scaled it yet. It is good enough to handle the bulk load. We never faced any performance issues with the tool. We have more than 150 users, and we never saw any issues with it.

View full review »
IM
Managing Director with 51-200 employees

In my experience, Dynatrace is scalable.

We have 100 users in our organization.

View full review »
BK
Senior System Administrator at Public Service Development Agency

It is scalable. We are currently using it only for four channels, but we want to add more servers. Next year, we may extend the licensing for eight more servers.

View full review »
VP
Manager of DevOps at a hospitality company with 1,001-5,000 employees

We use a cloud version for everything that we look into, so we have had no issues. Scalability is working well.

View full review »
SC
IT Specialist at a government with 10,001+ employees

Dynatrace is highly scalable and works well in our hybrid environment.


View full review »
it_user815340 - PeerSpot reviewer
Manager Custom Solutions at Nemours

I think for the deployments we have right now, it has not been a challenge. My goal is to increase the usage throughout the organization, maybe that's where I'll face some challenges, but at this point there are no challenges.

View full review »
SS
Enterprise Monitoring Service Manager at a tech vendor with 5,001-10,000 employees

We haven’t touched scalability for the new Dynatrace yet.

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it_user787764 - PeerSpot reviewer
Head of Delivery and CTO at a tech services company with 11-50 employees

No. The overhead to capture 100% of transactions is negligible (under 2%, measured in real life scenarios in two of our largest clients).

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it_user815358 - PeerSpot reviewer
Senior Systems Engineer at a insurance company with 5,001-10,000 employees

Scalability is good. 

Because we are having stability issues right now, it depends on what we need to do:

  • Do we need to add more memory? 
  • Do we need to add more collectors? 
  • Do we need to bump up something? 

So, this is a little uncertain at the moment.

View full review »
it_user815424 - PeerSpot reviewer
Software Developer at The Travelers Companies, Inc.

I don't think we've had any problems with scalability.

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it_user815193 - PeerSpot reviewer
Senior Software Engineer at a tech company with 201-500 employees

I would rate scalability at a seven out of 10. With any particular problem, it is hard to detect in any of the other APM tools. However, in Dynatrace, we can very quickly find the root cause. It physically gives us the in-depth solution and in-depth view of the root cause. None of the other products gives us that in-depth analysis of the problem.

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it_user815457 - PeerSpot reviewer
Solutions Developer at a retailer with 10,001+ employees

We had to reduce our usage but then we were going over, so now we're back up again. But it definitely scales well.

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SP
Project Lead Engineer at a construction company with 5,001-10,000 employees

Dynatrace is scalable but there is a cost involved. If your use case requires scalability it is easy to do.

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BM
Principal Engineer at DISH Network Corporation

So far, scalability has been fine. We have not seen any issues related to it. It looks good.

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it_user778722 - PeerSpot reviewer
Supervisor Of Event Management And Monitoring at a insurance company with 1,001-5,000 employees

It scales pretty well. I'm from a pretty big company. The solution started out small and scaled out, because we have a lot of collectors.

We scaled up. The good thing is, that's where Dynatrace SaaS is going to come in, when you look at what it's costing us to maintain the hardware on-prem, and do the analysis. 

Scalability: We're always building more applications. And the fact that we can get rid of a lot of hardware and run that tool is really important.

Scalability is really important with growth. You need something that can scale quickly and not have to go through this whole process. It's one thing to look at it and do an analysis and say, "Okay, I need to scale." But, it would be easier if you could look at something and put in a formula and say, "Alright, we can scale based on this." Or something that could tell us. "You're at a point where you need to scale," so that would help out.

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it_user815244 - PeerSpot reviewer
Application Monitoring Specialist at a energy/utilities company with 1,001-5,000 employees

We are on a managed solution, so everything is on-premise. Even their cloud systems are very scalable. We have never had any problems with it.

We do not really work with cloud that much. Definitely, AI would help us in scaling because even though we are not in the cloud on our physical server, we have seen some instances where an application either has way more CPU than it needs or way more memory than it needs. Just by analyzing its resource consumption, we can scale it properly, then add more servers or reduce the number of servers accurately rather than throw resources at it as a solution for any performance problem.

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it_user815250 - PeerSpot reviewer
Performance Engineer at NAIC

It scales well. We are going to be able to use it for everything we need.

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it_user810705 - PeerSpot reviewer
IT Systems Admin at a insurance company with 1,001-5,000 employees

The system as a whole scales fairly well. It's intensive, but it's not such a big footprint that it can't be handled. I think with Managed, or the SaaS product, things become a little easier. With AppMon you need a pretty good amount of inputting of data, but I think things get easier when you move over to Managed.

View full review »
OK
Consultant at a tech services company with 1,001-5,000 employees

This solution is scalable. 

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RR
Software Test Engineer at Enova International

Its capabilities are good.

We have a couple AWS accounts that we are running on the cloud. Then, we have a lot of on-premises applications, as well.

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RV
Academic Application Support at a university with 1,001-5,000 employees

Depending on how much storage you allocate, you can actually keep quite a lot of information in regards to your system. You can scale it yourself. The system doesn't force you into a specific storage medium. 

It's able to scale linearly and vertically. It doesn't matter how many systems you have. You can just plugin more collectors and agents. It does this very well.

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it_user815334 - PeerSpot reviewer
Solution Architect at a financial services firm

Because we are now we are moving out of AppMon to the Dynatrace tool, probably in the future the scalability will be really helping us.

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it_user815379 - PeerSpot reviewer
ECOM Engineer at a retailer with 1,001-5,000 employees

It's not very scalable, we cannot add another server onto it. We have a little trouble there, so that's why we're trying to upgrade to this new Dynatrace product to see how it will go.

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it_user815280 - PeerSpot reviewer
Staff Performance Engineer at a tech company with 201-500 employees

Scalability has improved quite a bit from the beginning. I have been using the product for so long, and it has transformed quite a bit and is now scalable. 

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it_user815223 - PeerSpot reviewer
Enterprise Monitoring Engineer at a financial services firm with 1,001-5,000 employees

Scalability is outstanding. Right now, I am running it in a virtual environment. We are running what they call small sets. We are only running at about 20%, because you have to build a minimum set of three. However, it won't tax our environment at all. It will scale sideways. If I have three, I have seven more nodes to go, so I have quite a bit of headroom. So, it will scale great.

View full review »
it_user815436 - PeerSpot reviewer
Director Of Integration And Performance at a media company with 10,001+ employees

So far we've implemented this for a couple of different applications. It scaled pretty well for us. We're about 2,000 or 3,000 users, but we'll have a better answer as we start rolling it out to more applications. So far, no issues with scaling.

View full review »
it_user815454 - PeerSpot reviewer
CEO/Founder at Keizer Consulting Group

Managed, we can scale it out massively. AppMon doesn't scale well. That's the other piece, why we're looking at Managed, because we're already over capacity there. We've got to move stuff to the other platform, to Managed, so that we can get the horizontal and the vertical scale ability, and get away from our "problem child" on the other side.

View full review »
it_user810702 - PeerSpot reviewer
APM Platform Architect at a transportation company with 10,001+ employees

We haven't scaled the Dynatrace solution at this point.

View full review »
AG
Principal Architect at a computer software company with 11-50 employees

It has quite a sleek architecture with respect to the number of instances that can become an agent. 

As for its environment, Dynatrace is ready to scale. Our environment is huge. We have EMR clusters ranging from 100 to 200.

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it_user815298 - PeerSpot reviewer
QA Performance Lead at a manufacturing company with 10,001+ employees

The scalability is another objective. We are trying to test the scalability of Dynatrace. We have seen some scalability issues because of the non-optimal users of the resources and the infrastructure, so we made it more scalable. So, it is acceptably scalable.

The role of AI when it comes to IT's ability to scale in the cloud and manage performance is very important. The AI definitely works.

View full review »
it_user815319 - PeerSpot reviewer
Operations Level 1 at a manufacturing company with 1,001-5,000 employees

I think scaling is going to be pretty easy. We're not up to that, so once we are in a position to think about the scalability we will take a look at it.

View full review »
it_user815331 - PeerSpot reviewer
Enterprise Monitoring Architect

The only issue with scalability that we’ve had - and it’s not a Dynatrace issue, it’s more an internal issue - is the fact that the data going over the satellite costs a lot of money. What we’ve ended up having to do is to implement separate data centers on each one of the ships. So instead of having one place that everything goes to, we have 40. That’s the only thing as far as scalability is concerned.

I wanted to be able to have a separate managed node - because we have the on-prem SaaS solution - so have the managed node on each ship disburse that data to the shore without causing the data overhead.

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it_user815238 - PeerSpot reviewer
Application Performance Engineer at a transportation company with 10,001+ employees

They have quick answers for scalability. When we wanted to get up from two nodes to three nodes, it worked quite fine. We are happy with that.

View full review »
MR
Performance Engineer at a outsourcing company with 1,001-5,000 employees

It is highly scalable.

View full review »
it_user815205 - PeerSpot reviewer
Monitoring Engineer at a manufacturing company with 10,001+ employees

We had some proxy-related issues in the beginning, but it looks like it was a mix up between our environment and their environment. Maybe it was a lack of knowledge. However, so far, it has been good. 

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it_user340329 - PeerSpot reviewer
Analyst at a hospitality company with 1,001-5,000 employees

No issues scaling up and out.

View full review »
AS
CTO at Marketware

No issues with scalability. The solution is multi-tenant and based in Big data technology.

What impresses me more is the ability to be able to analyze 100% of all activity going on, and do that with so low overhead. I have not been able to observe more than 1% overhead, despite Dynatrace saying that it can be slightly higher in some situations. I sometimes get the impression that overhead might be negative (underhead?), because you can get rid of inefficiencies like log dumping, that typically have high (disk and CPU) overhead.

View full review »
it_user815343 - PeerSpot reviewer
Director at a tech company with 10,001+ employees

We've never seen any issue with the scalability.

View full review »
it_user815247 - PeerSpot reviewer
Technical Lead Java Applications at Mowhawk Industries

The number of failures and the number of collectors servers, those look good right now and I do not see a need for increase for at least the next two years. Maybe after once we go live, once we will see the traffic, we may decide to if we want increase the scale. However, it may just be the extendability, and not a drastic change in the architecture of how we deploy the interface. 

View full review »
CL
DevOps Consultant at a tech services company with 201-500 employees

The scalability ties into the Dynatrace controller, because there is just one which talks back to your on-premise. While it is nice to have just one point to talk to, when you start having a lot of apps and things trying to connect to the same thing, it can cause some issues. I do get it, it is just a networking thing along with design.

View full review »
KJ
Staff Software Engineer at DISH Network Corporation

Scalability is good. 

View full review »
it_user815259 - PeerSpot reviewer
Senior Software QA Engineer at a consultancy with 5,001-10,000 employees

For our company, it is on-premise. It will be around a 100 plus hosts and 3 different servers, so it is fine in terms of scalability. 

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it_user815316 - PeerSpot reviewer
Solutions Architect at Datacom Systems (NSW)

For us, the scalability is perfect. Some of our challenges - especially with this specific solution we're building, it's not really load, it's a very low-utilization system - our challenges are accuracy, donor privacy, and availability. Those are our key concerns.

Being a consulting company, we're looking at introducing this as part of other solutions within the blood service organization, and other organizations as well. So, we work with some large organizations like government and other big companies. Scalability is important, and seeing some really big clients adopting it gives us a lot of confidence that it's not going to be an issue.

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it_user815373 - PeerSpot reviewer
Senior Performance Engineer at a tech vendor with 10,001+ employees

We started with a couple of the applications initially, and it was fast. We wanted this tool to be part of the applications and that's when and we started adding more and more application into Dynatrace. Then, we realized that there were some slowness issues, but we were quickly able to see what was causing them and then we added adequate hardware and storage so that it became scalable. 

Now we know what the math is between the number of applications and the sizing requirements of Dynatrace. After finding these things we know what to do, how to scale in terms of how many applications we want to put into Dynatrace.

View full review »
it_user815391 - PeerSpot reviewer
IT Supervisor at a insurance company with 1,001-5,000 employees

I think it's pretty scalable, because of the way its designed and architected, it works pretty well.

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it_user815217 - PeerSpot reviewer
Application Analyst at Farm Bureau Insurance Of Mi

What I know about scalability is from the sales pitches, not from experience. From the sales pitches, it looks to be extremely scalable. I have worked with products that when it goes into practice that this is not always the case. I would be interested to see Dynatrace in a very scaled environment. 

In previous places that I have worked, like Ford or General Motors, which are very large environments. I could see where they would need a very large scaled solution.

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JT
Application Performance Analyst at a computer software company with 201-500 employees

Highly scalable.

View full review »
MC
Technical Manager at a tech services company with 10,001+ employees

I would rate scalability at least an eight or nine out of ten.

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it_user815370 - PeerSpot reviewer
Senior Software Engineer at a tech vendor with 51-200 employees

We have a pretty small environment, so we don't have scalability problems.

View full review »
it_user815265 - PeerSpot reviewer
Enterprise Systems Technology Monitoring at a insurance company with 1,001-5,000 employees

I am not worried about scalability. OneAgent is going to more scalable than the clunky old solutions that we just put to bed.

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it_user815394 - PeerSpot reviewer
Senior Software Engineer

I can tell you it scales very well. We went from nothing - we're a small shop - but we went from nothing, five agents, to installing 150 in a week. It was very, very scalable, especially OneAgent; it's even  or more scalable. I was able to actually turn off AppMon and put OneAgent on it as a demo, and it took me 30 minutes for 100 agents.

View full review »
it_user815352 - PeerSpot reviewer
Consultant at Infosys Technologies Ltd

Scalability-wise, on the data side, I'm really worried because they are giving only seven days data retention. They should plan something on that, to increase the data.

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it_user815274 - PeerSpot reviewer
Systems Admin

We are still pretty small in this. It is largely just our eCommerce platform that we are using it on right now. We have always been constrained by licensing on that anyway. Hybris does not let you scale too much unless you want to pay a lot of money, so we have not had too much issue with scaling at all, largely because we have not been scaling it. 

We have not really branched out too much into the cloud. We are just getting our toes wet, so I do not know that I have a really strong opinion on the role of AI when it comes to the IT's ability to scale in the cloud and manage performance problems. I expect that it will, as we grow, and it will continue to become more important. However, at this time, we are just not there. 

View full review »
it_user354771 - PeerSpot reviewer
IT Architect Specialist/Manager at a tech services company with 1,001-5,000 employees

We haven't encountered any scalability issues so far, but we were operating on a very small scale, so scale was not a test. Rather, feature, functionality, and parity, that's what I was trying to pull up. But we are having those discussions on a regular basis from feature/functionality perspective that we would like to see in Dynatrace.

View full review »
it_user815196 - PeerSpot reviewer
Senior Manager Network Architecture at a logistics company with 5,001-10,000 employees

I have only used it for two applications, so I have not really scaled up. I do not use the cloud version, so I do not have that experienced. So far, in my environment, it works fine and has low overhead against my applications. So, that is the key thing. 

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it_user262080 - PeerSpot reviewer
Architect Software Test Engineer at MAS Global Consulting

Working with an infrastructure team that has given me VM and is not dedicated has delayed the performance of the tool.

Getting better, still working to tune to their eyes.

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it_user248511 - PeerSpot reviewer
Consultant at a tech services company with 10,001+ employees

No issues encountered with scalability.

View full review »
it_user138303 - PeerSpot reviewer
Owner with 51-200 employees
JM
Sales Engineer at a computer software company with 1,001-5,000 employees

Dynatrace is very scalable. With our recent experience in terms of scaling, I believe the limit goes up to 100,000 agents in total that can be deployed. 

View full review »
it_user1362276 - PeerSpot reviewer
Cloud Engineer at Clearsale

It has excellent scalability. We have more than 2,000 users.

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it_user815418 - PeerSpot reviewer
IT Director at a insurance company with 10,001+ employees

Scalability is the part that I'm looking forward to, because we're developing more and more microservices and, each time, for an AppMon license, you have to deploy it, you have to configure it, you to get charged for it. It's very time-consuming. Dynatrace is much easier, because it's auto-discovery.

View full review »
it_user815190 - PeerSpot reviewer
Programmer at a financial services firm with 10,001+ employees

We are moving our application and our server to the cloud.

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it_user248919 - PeerSpot reviewer
Technical Architect at a computer software company with 1,001-5,000 employees

I've never had any issues with scalability, but scalability comes with a cost directly associated to how much you scale out your solution.

View full review »
Clifford Neilson - PeerSpot reviewer
Service Delivery Manager at choice sourcing

This solution is definitely scalable.

View full review »
PA
SRE Manager at a tech vendor with 501-1,000 employees

Scalability was fine. We were using around 100 application licenses, 100 Java licenses. On that scale it was able to handle everything. There was no reason to scale it up. I'm not sure if it could be scaled up to 500 or 600 licenses. We didn't do that. It was able to handle the load in the one tier.

View full review »
it_user815271 - PeerSpot reviewer
Senior Engineer Architect at a leisure / travel company

In the context of adding monitoring to all your instances, we have scaled up, because it is a cloud-based solution. It just scales on its own. 

What you need scalability for is around the ease of adding a new platform or new servers to the platform, and that is pretty fast.

View full review »
it_user815229 - PeerSpot reviewer
Middleware Engineer at a insurance company with 1,001-5,000 employees

We are a medium-size implementation. We have not grown a whole lot yet with the product, so we have not faced scalability challenges. It seems to be pretty straightforward to grow with it and add-on. They have guides to help you do this. 

The role of AI when it comes to IT's ability to scale in the cloud and manage performance problems will become more important, as we move forward in the cloud and with distributed computing overall with AWS.

View full review »
it_user815442 - PeerSpot reviewer
Senior Engineer at a financial services firm with 10,001+ employees

We haven't seen any adverse effects due to scalability.

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it_user815310 - PeerSpot reviewer
Architect Software at Desjardins

It is easy to scale because every tool that we integrate with the solution we can do so easily. 

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it_user815304 - PeerSpot reviewer
Senior IT Architect at a comms service provider with 10,001+ employees

I am aware that we have some limitations, but I could not specifically talk to that.

View full review »
it_user815283 - PeerSpot reviewer
IT Manager

The new Dynatrace product looks like it is more scalable. We are currently using AppMon. The tool definitely allows for scalability, but you do need to have decent hardware on one side, then you also have to have the knowledge. You have to be able to implement this type of application and go into its environment. There are different ways to do that with each AppMon agent. It will be interesting to see if the new Dynatrace product resolves these issues. 

View full review »
it_user815256 - PeerSpot reviewer
Director Business Operations at a financial services firm with 10,001+ employees

The scalability is good. I work in an environment in a complex ecosystem. It is a big piece of environment, and our hosts were able to handle it without any sort of issues that I know of. However, there could be some other unknown issues that go beyond me.

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it_user815364 - PeerSpot reviewer
Operations Manager

Scalability is excellent.

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it_user815208 - PeerSpot reviewer
Developer at a tech services company

Scalability is an important factor. At the same time, this is the Dynatrace solution we are talking about, it is really scalable when compared to other tools. We need to do a lot of stuff to make it work with multiple instances and multiple servers. So the scalability is there, but it is a headache when you do a lot of stuff and when you need to compare a lot of servers and do a lot of things. The scalability is very difficult to maintain. 

When things get reduced and the things from our side get reduced, as a developer, it gets much easier in order to scale. In this way, the solution is really scalable, and it is not difficult to get scalability with this solution. 

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it_user815199 - PeerSpot reviewer
Infrastructure Engineer at a insurance company with 1,001-5,000 employees

I have not experienced any issues scaling with the Dynatrace tools, however I have experienced scaling issues with other competitors' tools.

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it_user815184 - PeerSpot reviewer
IT Service Owner at a insurance company

It is very new to us, so we have not needed to scalability that badly. However, being cloud-based, I would suspect it scales as we need it to.

View full review »
it_user786417 - PeerSpot reviewer
Evangelist & Practice Lead at a consultancy with 1-10 employees
it_user248907 - PeerSpot reviewer
Systems Administrator III at a retailer with 10,001+ employees

We haven't had a chance to change the scale much and will probably not scale up by any meaningful factor.

View full review »
it_user278757 - PeerSpot reviewer
Assistant Manager at a tech services company with 1,001-5,000 employees

No issues encountered.

View full review »
FR
Integration Architect at a financial services firm with 1,001-5,000 employees

The company that I work for is a large organization using the solution.

View full review »
HG
Gerente de Operaciones at a consultancy with 1-10 employees

The scalability is really good. We were able to migrate to the new version almost seamlessly. We can use other functions or features of the software. It's really easy to add up and keep seeing different options and features. 

We work with some companies that are quite sizable. We work with companies that are in the food industry as well as three of the largest national banks. We also work with smaller companies as well. The solution can work for a company or pretty much any size. We alone have 30 or more clients that include companies of every size.

View full review »
it_user815253 - PeerSpot reviewer
Senior Consultant at a financial services firm with 10,001+ employees

It is pretty scalable. We are using it on most of our platforms, which are on a big scale and across the globe. The company that I work for is a global company, and the products that we use it on scale.

View full review »
it_user815415 - PeerSpot reviewer
Application Support Analyst

I love it, I've always been a big fan of the scalability. We haven't scaled up yet but we hope to.

View full review »
it_user254616 - PeerSpot reviewer
Module Lead with 1,001-5,000 employees

No issues encountered.

View full review »
it_user852528 - PeerSpot reviewer
Consultant at a tech services company with 1-10 employees

In terms of scalability, my company is not that large, but it looks like the scalability is very good. We don't have any problems with scalability.

View full review »
it_user815181 - PeerSpot reviewer
IT Systems Monitoring Consultant at a healthcare company

We did have some scaling issues with the DC RUM or Data Center Real User Monitoring. Just with the overall volume that we monitor in a company that I used to work at. We had a hard time being able to scale DC RUM to it, but the Dynatrace product by itself seems to scale pretty well.

View full review »
it_user815439 - PeerSpot reviewer
Technology Leader at a insurance company with 10,001+ employees

I know, at least from an AppMon perspective, there's very much a limitation on memory and things of that nature. I think with the move towards the Managed product that they have some better opportunities there from a scaling perspective.

View full review »
reviewer1099827 - PeerSpot reviewer
Works

This is a very scalable solution.

View full review »
it_user815262 - PeerSpot reviewer
Senior Software Engineer at a tech company with 1,001-5,000 employees

I sometimes see issues with the loading of the data. If we give you criteria, like you want to see the last 15 days of data, it has a lot of requests in it. To refresh, it will take a lot of time. Therefore, we actually narrow it down to a particular instance or event.

My main purpose is to troubleshooting issues, so this way I know exactly what time it happened, then I can just narrow it down to that. However, if you want to see a month's data, it keeps on spinning. Here is an improvement which needs to happen, which is the case with all applications or tools. There is a lot of data, and either we have to change the way we are logging or the application needs to be enhanced.

View full review »
it_user815433 - PeerSpot reviewer
Manager Of Technology Development with 51-200 employees

Scalability is great. My biggest concern when we first put it in was the resources that it would take up, network traffic that it might create. But it seems perfectly scalable to any environment. Even on some of our heaviest use servers, it doesn't seem to affect anything. So to me, it can be put on any environment and keep growing.

View full review »
it_user151044 - PeerSpot reviewer
Systems Engineer at a computer software company with 501-1,000 employees

Similar response to stability.

View full review »
GL
Dynatrace Technical Consultant at a tech services company with 51-200 employees

I can't really comment on the scalability as we're in a relatively small environment. We don't have a massive number of servers on-site. I am aware of people that run it in massive environments, however, I can't make a comment on what it's like as our site is fairly small.

We might have ten or so active users. 

View full review »
RS
TitleICT management division director with 501-1,000 employees
it_user815388 - PeerSpot reviewer
Operations Analyst at a tech services company with 10,001+ employees

Scalability is good.

View full review »
it_user1000017 - PeerSpot reviewer
Product Manager at a financial services firm with 201-500 employees

I have not had any issues with the scalability of either New Relic or Dynatrace. They are both quite scalable.

View full review »
AB
Cloud Practice Specialist at a tech services company with 201-500 employees

The scalability is amazing. It is the best. One of our customers is a massive healthcare customer.

View full review »
it_user726264 - PeerSpot reviewer
Specialist at a tech services company with 10,001+ employees
GL
Dynatrace Technical Consultant at a tech services company with 51-200 employees

I am in a small shop so I do not have direct experience with scalability, but I do know that it is one of their design goals. In our company, we have a couple of guys working on huge sites and scaling farms, so my impression is that the scalability is good, or even excellent.

View full review »
LY
Development Architect at SAP Canada

So far, the scalability has been okay. Our customer base is hundreds of thousands.

View full review »
it_user957450 - PeerSpot reviewer
System Integrator with 10,001+ employees

I would need to explore this further because I have not tested it further than our needs.

View full review »
Buyer's Guide
Dynatrace
April 2024
Learn what your peers think about Dynatrace. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
767,667 professionals have used our research since 2012.