Dynatrace Reviews

We have a new product at Farm Bureau, called Guidewire. We have been using Dynatrace to diagnose as their moving code through the systems. It has been helpful in being able to guide our application staff. This part of the code has been having an issue where we need to look at it, or we have a database call that is malformed and it is causing issues on our database. That is what we have been using it for. 

We recently had a problem. When we went through a triage or a war room type of situation. We were able to use it help us nail down a specific call which was having a problem.

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

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

The version that we are on now has the ability to get us in the area of where our problems are. What I see with the new product is that it is actually going to give us a pinpoint. 

Therefore, we will not be spending hours behind the scenes being the artificial intelligence. It will be built in. It will save us a tremendous amount of time this way. 

There are some features that get in-depth into the product and you are having to redo the data across several tiles. You have got cloning at one level, but it would be nice to have cloning at deeper levels. Or, as you are doing the cloning, it would be nice if you could select different options. Then, you are not having to sit there and build dashboards, and spending a lot of time in the cloning area.  

I do not even see this as being a problem. I have seen very little of it being a problem.

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.

Mike Ditmar is probably one of the best engineers that I have ever worked with. If he does not know the answer, he is back with you within an hour with the answer. 

General support is same thing. If they can't give you the answer, they are saying, "We will have someone call you back. We will have your S.E. call you back." They get someone for you. So, it is one of the best support structures.

Dynatrace's documentation is great. I love the university. 

I used siloed monitoring tools. My view is a little bit skewed because I used them on the mainframe. The mainframe was developed over 30 years, so they were very developed tools and easy to use. I was one of the first adapters of the Vantage product from Compuware that is Dynatrace's predecessor. I thought it was cool then and that it had all the bells and whistles. 

Now that I have come back into it, today's tools don't even compare. We did a lot of work back then to try and correlate the data. Even Dynatrace 7.0 is a hundred times easier than that Vantage product was and I see the new stuff making that same leap from the 7.0 version.

When I originally looked at Dynatrace, it was because it was something that we could spread across the company. You can set something up for the VP and upper levels to look at that is a summary dashboard. Yet, you can set up that same system for your application developer, so he/she can pinpoint those methods, and you can do the same thing for the database. Thus, you have many different sections of the company in which you can set up specific data output meaning something to them. It does not necessarily have to filter through one team, because you can really clog a team up fast making them the central point. 

I was not involved in the Dynatrace initial setup. For the upgrade, we put it in, and it was done. It was not complex.

I have heard it was great to have the consulting staff help you because you got it right the first time. 

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

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

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

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

We're implementing an end-to-end service monitoring solution, using Dynatrace as a key component. Dynatrace is being deployed in multiple key probes through the end-to-end path. A centralized service analysis probe and report server have been deployed as well, to present the data in a friendly way, and the dashboard matrix can be customized for business usage.

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

Dynatrace can look into application transactions at the packet level, which pretty much relieves us of the work of manually collecting, analyzing, summarizing, and presenting the data, as we had done in the past. For example, with Dynatrace it's easy to identify the problems from the network layer up to the application layer, which saves us much effort and time.

Dynatrace is also very easy to configure based on our business requirements.

To be honest, the customer support is not quick and helpful at this stage. We are deploying Dynatrace into our network. I've raised a couple of technical questions with the support team but the response was not fast and didn't cover all my questions at all. I have had to ask some questions two or three times yet, to date, I still have not received a good answer for some questions.

We are using Dynatrace for application monitoring, elastic search, and problem analytics. 

The documentation of Dynatrace needs to be improved. There needs to be a more detailed description and additional examples for background understanding for beginners trying to use it.

There needs to be a better understanding of deep monitoring and complex investigations. Having better documentation would help.

I have been using Dynatrace for approximately two weeks.

Dynatrace is stable.

I have contacted the support from Dynatrace and they are very good. I had only one question from the support and I received a quick response.

I rate the support from Dynatrace a five out of five.

 The initial setup was difficult.

The company that implemented the solution did not finalize the configuration properly. The solution was not monitoring everything that we wanted it to.

The amount of people needed to maintain the solution depends on the size of the environment. However, at a minimum, I would suggest two people would be suited.

I rate Dynatrace a ten out of ten.

We use this solution for our customers. Our customers are enterprise companies. We have several customers who are in automotive, finance and telecommunications which is the biggest one.

I like the full-stack agents, the OneAgent, and the futures dynamic.

It is using a Kubernetes container-base.

It is quite easy for our consultants to set up, even with it taking two or three days for an on-premises installation.

Moving from a traditional filo functional APM to an integrated One stack agent is an area that needs improvement. They have simplified the installation process, the integrated monitoring, and the correlations.

The downside is that it is very expensive in terms of the price range.

I would like to see income monitoring for the servers and infrastructure monitoring.

The full-stack agent only covers the infrastructure monitoring, but the fields do not cover network monitoring. Once they have network monitoring, with full-stack capabilities, it will be complete.

I have been working closely with this solution for approximately a year.

Technical support is good. They provide a webchat that responds almost immediately.

In terms of ticketing, with a formal inquiry, they do not have any severities for immediate support, even though it is promised by them to respond within four hours.

With their web chat support, you can ask several questions or inquiries and get information immediately.

We are also working with IBM.

We have several products. We used to have CA APM, we also work with SolarWind APM, eG Innovations APM, and System Center (SCOMs) APM.

That is the product range that we used to work intensively. 

We prefer Dynatrace.

The initial setup is quite easy. 

We have had several deployments that have been fast and on-premises. After the setup, it can almost be immediately used. 

The on-premises version can take up to three days.

It's an Open-Source platform.

The price range is quite high. It's the highest compared to the other top APM products that are available. 

They only deliver on a subscription model.

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

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

I would rate Dynatrace a nine out of ten.

Used to baseline and compare performance regression tests in development and to troubleshoot performance problems experienced by customers using our application in production. We monitor both on-prem and cloud environments during testing in Agile sprints as well as applying the tool in live production environments with permission.  

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

Automatic root cause analysis and automatic performance baseline features remove the manual effort and time to do so. Synthetic monitoring which enables you to monitor user experience from all parts of the globe to your application host. This has been invaluable in pointing out that slow web traffic is related to network problems in certain countries rather than actual web server performance. The ability to take memory dumps from hosts at will is also very handy for analyzing memory dumps during memory leak detection. Diagnostics tools like CPU analysis, Exception analysis, Top database transactions etc. is also very useful. The ability to split different monitored applications into unique Management Zones each with custom dashboards makes for easy tracking over complicated landscapes.

It could be more affordable and therefore, more widely used by including more features like DEM as part of licensing cost rather than an additional expense. The DEM is one fantastic tool to monitor traffic hot spots across the globe which enables one to identify user experience trends from all parts of the globe. This is very handy indeed however it comes as an additional feature with additional licensing costs. Would be really welcome if that is included out of the box.

We have been using a combined usage of Dynatrace Appmon and Dynatrace OneAgent for five years.

It's very stable.

Highly scalable.

20 years exerience in application performance testing and analysis.

No.

Easy.

In-house

Our ROI is saving time in profiling and helping customers being successful at using our product.

Make 100% certain you understand the cost and limitations of HUs versus traditional monitoring Agents.

We also evaluated Datadog and Application Insights.

We use Dynatrace OneAgent as a solution to monitor applications, as well as infrastructure. This idea was appealing to us for time management and efficiency purposes.

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

So far, Problems grouped in one place is a personal favorite. This allows me to stay on top of reoccurring issues and drive teams to minimize those. This constantly improves our services. The Problem history also helps keep track of previous issues, should we be required to look them up.

So far, OneAgent has been very useful for us. However, there is room for improvement. More integrations could prove very beneficial to us. One example is more AWS Redis integration, which would help us monitor our digital estate more efficiently than we do today. Licensing and user management could also be improved.

We were previously using Dynatrace AppMon, which had limitations to monitoring applications. We were then demoed OneAgent, and it better suited our needs.

We use it to get the network stats and know how many clicks happened on both the front-end side and back-end side, then drill down on debiting to obtain the stats around that.

Dynatrace is working fine right now. It is working as we expected.

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

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

It gives complete stats of the user and what they are doing.

Because we are financial, there are certain things that we cannot put on the cloud. However, that is a given fact, not only for us. It is a given fact for any financial company because of PCI compliance. Because of PCI compliance, companies don't take the risk of putting data in the cloud. Otherwise, we have had a very good experience with the cloud.

The stability is good. I have not seen any issues.

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

Everything is excellent with technical support. Some of their personnel are our main point of contacts. They are always in touch with us.

The integration and configuration is very easy.

Purchasing through the AWS Marketplace is excellent. 

We did not evaluate any other products. Top management said. "Just go and use this."

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

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

We are using Dynatrace to monitor our core application of the bank system. It is used especially in technical metrics monitoring.

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

The web dashboards are quite useful, good looking, and easy to use.

• The product could be faster and lighter, especially the rich client which uses many resources. 
• Graphically, it is not good.