Dynatrace Reviews

PurePath is the innovation which makes Dynatrace unique.

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

They could facilitate the installation of the agent on server applications for other languages, such as C++.

I've used it for two years.

We had some issues. Our environment is divides into three parts:

1. Presentation with .Net
2. Business with Java
3. Intermediate with C++

Until now, we don't have correlation between the three parts, because we haven't succeeded in monitoring the intermediate part.

No issues encountered with stability.

No issues encountered with scalability.

Customer service is good.

Technical Support is very good.

We used a different solution and switched because Dynatrace was easy to implement.

It was straightforward while implementing Java and .net, but complex in the case of C++.

We implemented it through a vendor team, and their level of expertise was good.

Executing performance testing and supervising the application response with Dynatrace, then collaborate with developers to solve issues.

We also looked at Wily Introscope.

I am a Dynatrace consultant, and I work with a partner in South Africa.

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

The most valuable feature is the AI. In the older version, it would highlight errors but you still had to figure out the root cause. With the latest version, the AI engine highlights the root causes automatically. 

It would be nice if there were a way that it could be made simpler, given the complexity of the things that we're monitoring. It can get a bit overwhelming. The AI has helped in this regard.

This solution has been very stable.

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.

The technical support is good.

The initial setup is pretty straightforward. The agent installs and configures everything automatically. In the older one, you had to manually configure everything. Now, you install the agent and you may have to restart some processes, but then it just starts giving data.

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

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

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

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

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

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

I would rate this solution eight out of ten.

We are using this software to monitor an online banking system in a production environment.

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

The most valuable feature is the PurePath analysis. We can see each session, end-to-end, and discover issues.

The user interface needs to be improved.

Our primary use cases are for APM and digital experience management.

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

The most valuable features are the speed of deployment without any changes to the monitored environment, and the very well defined and implemented user interface.

Working with the user interface is a pleasure for any customer since it is fast, responsive, and very well designed.

From the other features, the ability to drill down to the code level is often very valuable when doing an analysis of issues. Also, the integrated AI (assisted machine learning) helps to analyze anomalies without the requirement to define and describe your environment.

As the product is evolving quickly and product features are added on a monthly basis, a more transparent roadmap would be more than welcome.

Also, some parts of the business operations, such as pricing, should be improved since the terms are changing and it is not easy to do estimates.

I installed the demo application on an internal server and looked at the functionality of Dynatrace.

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

Through end-user monitoring, we were able to measure the user's perceived performance and build an SLA based on that information.

We hope the next version will have more powerful database monitoring capabilities.

Product is very high tech and advanced on the one hand, and very easy to implement and maintain on the other. 

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

• Code level visibility
• Smartscape: Modeling of the whole IT environment. 
• User experience analytics

• Product reporting still needs improvement.
• Session export for offline analysis, like it was in AppMon, would be also nice. 

Time to value was surprisingly fast.

• Full stack monitoring for several customers
• Trusted consultancy
• Development lifecycle support
• Showing app problems during the testing phase

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

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

• AI root cause analysis
• Smartscape
• Autodiscovery and correlation of logs
• Infrax
• User XP, etc.
  

• Container log monitoring
• Multi-customer accounts on one server
• API photo third-party tools integration

It helps customers to understand performance, problems, and user behaviour. I implement an APM solution from Dynatrace to different customers in different industries, such as banking and telco.

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

• AI
• Ease to configure agents.
• All performance views through every application and system.
• Automatically identifies logical architecture and transactions.

• Improve Dynatrace for the following industries: telco, eCommerce, and banking.
• Needs better visualisation for the service health model, which contains different modules, services, devices, etc.