Dynatrace Reviews

We use the Dynatrace platform to perform Application Performance Management for our Kubernetes clusters and some other legacy clusters. We have many Kubernetes clusters in our company and we are connecting each to an on-premise Dynatrace platform so that we can analyze the performance of each one separately.

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

The most valuable features of Dynatrace are the ease of installation and management, as well as its extensibility.

Dynatrace provides a wide range of platform supports that can be installed.

The service should be improved such that it is more useful to its clients. For instance, detect repeated performance-issue-related root causes, optional log streaming for hosts, processes, or a group of processes.

It needs a dashboard for cluster events in general, and for Kubernetes specifically.

For the Kubernetes part, we have a good operator that takes care of updating the agents so we have nothing to do.

We are using it in our AWS environment for monitoring health and application performance for roughly 400 instances running thousands of Docker containers.

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

• OneAgent
• AI-powered problem analysis
• Pre-configured alerts
• AWS integration
• API interface 

• SSO options are missing.
• JIRA integration should be enriched and more granular.
• Filters should have a “negative” option.

We use it to find database hotspots, method hotspots, CPU, JVM , Disk I/O and more.

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

PurePath, Database Hotspots, Method Hotspots, CPU, JVM, disk I/O and other graphs.

Find the right method, give the cause of suspension, give tips for resolution, and one call query to find method.

We were using a freeware tool and we needed all the information in one tool.

We use Dynatrace for application monitoring.

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

The most valuable feature is the monitoring of application performance.

I would like Dynatrace to be more flexible and user-friendly. They could do more in-depth analysis of the application monitoring. Also, they also could do some type of anomaly detection with positioning and have better integration with AWS.

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

The product needs a lot of the support, especially on the consulting side and post sales. You will also need an administrator.

I was not involved in the decision-making process. However, there are more competitive products on the market, which are more user-friendly, feature-rich, etc.

Research into similar products. 

It adapts well for integration with other products in our environment.

We don't use it for AWS.

Full stack monitoring capabilities. Containerized monitoring is huge for us as majority of our applications are using containers.

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

The big data analytics is the most powerful tool at my disposal. With the analytics, I can review behaviors, trending issues, and resolve issues before they impact our clients.  

Some of the APIs and integrations are a bit tougher than others to integrate. Django would be amazing!

The solution is amazing, it does well when you need to use it.

The dashboard could improve. The graphs available should have more features such as the ability to do data comparisons.

I rate Dynatrace a ten out of ten.

• Load testing in R&D to anticipate bottlenecks. 
• Used in production environments to retrieve consistent use cases.

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

The NeoLoad plugin is awesome, and it gets results from load tests correlated with test scenarios. 

C language integration requires manual implementation through the SDK, which is rather difficult and time consuming. 

We are a partner and are selling this solution. We also use it internally.

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

The most valuable feature is the beautiful UI. The correlation between events and impacts is helpful, as is the automatic detection of the infrastructure.

Improvements are needed in the navigation and time-frame selection when browsing problems, sometimes, the time-frame set change and I need to re-set it again, plus I find the navigation bar on the top left quite cumbersome, when i'm analyzing problem and I want to go back to the previous view, for me the nav bar should be the solution but often, when selecting the last element in the bar, I do not go back to my previous page but to the "main element page" (Aka, When doing deep analysis the analysis components are not shown on the nav bar and the only way is to press the browser "go back" button).