Dynatrace Reviews

We primarily use the solution to monitor business activity, transactions, and root cause analysis.

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

The single agent is the most valuable aspect of the solution. It's great due to the fact that you're not capturing the data.

The solution has great machine learning and artificial intelligence.

Once you are trained on the solution, it's easy to navigate. It's got very good documentation and training offerings.

The solution can scale.

The product is stable.

I don't believe the solution is missing any features per se.

The pricing of the solution should be improved. It's on the high-end of cost if you compare it to other options.

It's not really user friendly. You need to go through a certain type of training. 

The solution needs to offer KPIs so that we can read data and develop customized reports.

We've been using the solution for about six months at this point. 

The stability is quite good. It's pretty advanced in comparison to what else is on the market. It's quite reliable. There aren't bugs or glitches. It doesn't crash or freeze.

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.

The solution offers pretty good training modules, documentation, and community platforms. We're quite satisfied with the level of service provided. I'd rate them a nine out of ten so far.

We were using a different solution and the price was more reasonable. However, it was not as user-friendly and it didn't really have good features. We were looking for a product with better features and we're hoping this solution will provide that.

The initial setup isn't too straightforward. It's rather complex.

The solution is rather expensive. There are less expensive options.

We're just a customer.

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

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

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

I'd rate the solution nine out of ten.

We use this solution for end-user experience, infrastructure monitoring, analysis of bounce rates, service calls to the database, root cause analysis, and problem management. For end-user analysis, I can monitor where the connections come from, the time, the number of navigated pages, bounce rates, and finally, if the usage was satisfactory or not.

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.

The most valuable features for me are end-user analysis and problem detection. I am responsible for adoption, availability, and performance. In the case of adoption, the number of new users coming to the system is a good metric for management. For problem management, problem detection is a good feature to save time.

I have reported a bug where a CI was not reflected in the dashboard, yet it was detected in the problem management.

On the side of the end user experience, I would suggest adding a new service for analyzing the backtrace of users.

Also, I would like to see an option to export the dashboard to create better reports and avoid copy/paste.

In terms of stability, it is ok and we have had no issues reported so far.

We cannot properly address scalability yet.

Prior to this solution, we used Gomez. It was part of the original solution that was installed. We had many problems with synthetic monitoring because it was down most of the time.

The tools were installed before I joined the company.

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

I look into application degradation issues for mostly eCommerce, retail-based customers. The main agenda of it is to have a better user experience. When I look into it, Dynatrace plays a vital role. We use Dynatrace products to make sure that the applications are running per their guidelines as to whatever the application team designates. This is one of the key factors.

We have been having awesome responses and reviews from the customer. After Dynatrace was installed, there was a lot of outages that Dynatrace could actually catch even before there was a major outbreak within the ecosystem. So, we have been receiving good testimonial. 

OneAgent, the new platform of Dynatrace, it is called artificial intelligence (AI), so basically that artificial intelligence correlates multiple infrastructure competence transactions services and application processes. It is one of the most important features, so when there is a fire break, you do not have to go multiple hops to go look where exactly the issue is. Dynatrace can do that because of its artificial intelligence. 

AI plays a vital role in most of the customer's work that we have done, because all the implementation, Dynatrace OneAgent is on SaaS. Data is a limitation in human capability. AI takes care of a lot of things: autoscaling, you do not have to worry about taking care of the infrastructure, etc. Everything has been taken care of on the cloud. Most of the inputs we get from the AI engine, they are already integrated with Dynatrace. 

If I had just one solution that could provide real answers, not just data, the most important benefit would be the AI engine which correlates your multiple infrastructure competence with any environment. The firefighting within the environment is quite less. There are days where we used to take close to 24 hours to find a problem by looking into multiple tools involving multiple teams. When you have a single tool doing all this, there is only one place to go look. From 24 hours, we have come down to one to two hours.

I was keenly looking forward to the next releases for this platform. I saw that they are going to release by March something which is really interesting, and I am looking forward to: How a user can replay a session. E.g., if I have access to a website, I can do a whole replay of the session and where it actually went wrong. Right now, there is a log analysis feature. This is maybe a little more deeper than the log analytics in comparison to other tools, like Splunk or Sumo Logic. If Dynatrace can come up with this replay feature, that would be great. 

Technical support is good. Dynatrace OneAgent is a pretty new tool in the market. In comparison to other products that Dynatrace have, they are scaling up. We have been getting good resolution. We are quite happy with the support that they have been providing. 

We have a plethora of tools within most of our customer places. When that is actually an issue or problem, the 24/7 team comes into play. If they do not know which tool to look into when there is a problem, they go into the network tool or infrastructure. Here, Dynatrace plays a vital role by correlating the network, infrastructure, and application telling you exactly what the root cause is. 

We switched to Dynatrace because we were previously using an APM tool, which did not yield benefit, so then we had to look into other products. 

The initial setup was straightforward. The documentation and the university helped on Dynatrace. 

Surprisingly, it is quite expensive. That is something that we could always see: Improved pricing and the overall construct on how do we use each license in regards to usage of the tool. 

On our shortlist, we did have all the competition for Dynatrace. We evaluate all the major three tools and found Dynatrace to be the best fit because of the AI and Dynatrace's innovation.

AI, ease of use, and SaaS were the things that we were looking for when selecting a tool and we found them all in this particular box.

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

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

It is part of our performance testing, where the team can run our workloads and can see the insights, where the bottlenecks are.

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.

The PurePaths can give us more insights, where the time is spent with the whole HTTP call. And we can clearly see where the bottlenecks are.

The business use case is that most people want to see how many orders came in. I'd like to be able to get data out of JavaScript tags, and capture more data. I think that would make it much more useful, rather than using Google Analytics. Instead, have one tool to capture all the stack, that would make it easy.

It's pretty good. It gives us what we need. We use the on-premise, with limited licenses, and we have never had any issues so far.

We've never seen any issue with the scalability.

We have never had an issue. We're pretty technical, so we can resolve things ourselves. I think, initially, we worked with them to help set up the on-premise, but afterwards, we didn't have any issues.

My previous client, the big pain points were, we had a lot of memory issues, upgrades not responding properly, and meeting SLAs, so that's why we were evaluating different APM tools. Finally, we picked Dynatrace for our own needs, for the use case.

We were using an IBM product which was not useful. Then we evaluated the APM space in the market and chose Dynatrace.

When we compared other APM tools, Dynatrace was the only one which could give us 100% visibility into the whole codebase. That's a key for us, because we can find the problem much faster.

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

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

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

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

Our most important criteria when selecting a vendor include

• product
• ease of use
• pricing
• features.

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

But I would recommend the product.

The primary use case is infrastructure monitoring and application monitoring. It's performing really well, the OneAgent aspect of Dynatrace; we love it.

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.

Interrelating the logs and infrastructure issues, application issues, DC RUM, everything in one dashboard, saves us time in troubleshooting.

This is the constant evolution of the tools. The next release I would like to see is especially with external API monitoring. Right now, everything goes into one bucket, but if it were split into which API is failing, that way we wouldn't have to drill down to find out where the failures are. It would be quite evident on the dashboard, where the failures are. It would be easy for troubleshooting, and even on the executive dashboards, we could relay the message appropriately.

It's much nicer, it's lightweight compared to the previous versions. OneAgent is much nicer compared to Dynatrace AppMon.

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.

We used tech support just on the implementation side of it, initially, for a day. They were knowledgeable and helpful.

We had Dynatrace, the previous version. That's how we started. Now we have migrated from Dynatrace AppMon to Dynatrace Managed.

It was straightforward.

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

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

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

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

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

• stability
• technical knowledge
• industry expertise.

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

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

We have a critical enterprise-level project where we have seen a lot of performance issues. We tried to figure out what tool might help us solve some of those performance issues. Then we heard about Dynatrace, so we engaged Dynatrace. It's basically about solving performance issues.

In terms of performance, we're still a work in progress. I think we have made good progress identifying the areas where the problems are, and now it's a matter of just working with the different teams trying to figure out what the roadmap is going to be.

We're learning the tool. At the same time, it's also about educating folks within our organization in terms of what Dynatrace can do. And also how do we apply it? How do we make use of Dynatrace and what do we do with the information we get? How do we take that and go to the next step of implementing the changes?

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.

PurePath. We just started using it, it's been less than a year. PurePath is really helpful. 

And I'm learning now about the dashboards, and the session replay is another that was really fascinating to see. I guess AppMon probably doesn't have those things yet.

The features I'm most excited about are the AI piece, the session playback, and the fact that the deployment is even easier with the new version. Not only deployment, but the setup piece of it, I'm hearing, it's easy. I haven't tried it out but that's really encouraging.

To be honest with you, I think they have a great roadmap. And the fact that they are using the feedback from the customers to build into the roadmap, is a great feature. I have nothing in particular that I want to see.

From what I've seen, from what I've experienced, absolutely no problem with stability. Especially the ease with which it gets deployed, and also the support we typically get has been amazing. We have no regrets using Dynatrace. It's been a good experience so far.

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.

From what I've seen, they're very knowledgeable and easy to work with.

We've used a variety of tools, not so much in the APM space. It was mostly about SiteScope and Wiley, those kind of things.

With Dynatrace we were able to pinpoint where the problems were with PurePath, which was something we did not have. Obviously, we didn't work with an APM solution so I'm only comparing this with a non-APM solution like SiteScope. There, it's mostly about, "Hey, here's your CPU, here's your memory," rather than pinpointing where the actual problems are, which is something that PurePath gives us.

I think it was really, really straightforward. It's the second time around. Some of the things, we did them ourselves.

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

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

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

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

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

DCRUM is no longer used by my team, due to lack of executive support.  Our primary use case was for post mortem investigation on application data flows.

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.

Agentless Transaction Analysis allows my team to granularly decompose complex operations and flows for business applications. Combined with SSL decryption, this capability helps my team to see the exact path a real user's transaction takes with meaning metrics captured at every hop.

Decodes on less used/popular protocols are available, but they should be included.  Additional investment should not be required.

No

In house

To monitor and mimic the external customer experience for our external customer-facing websites. This tool does the exact same thing. It monitors the customer experience at over 10 US locations and informs us if there are any issues through email alerting and text alerting in the mobile. This has made our life so much better.

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.

There are lot of features, but I found data analytics and triggering are the two most valuable feature of this tool. 

• Data analytics help us to find us issues in the short-term or long-term. 
• Triggering gives us warning that system is getting slow and we need to nail down the issue soon, so it does not impact our business.

This tool had a feature of doing load test in production or lower environment, which was shut down earlier this year. We are missing that feature badly and we definitely want to see that feature back.