We have shortlisted application performance tools, and we are currently using Dynatrace Operator.
What is our primary use case?
What is most valuable?
The AI and the root cause analysis are what I personally appreciate in Dynatrace Operator. AI-driven analytics help with providing predictive insights in our case.
What needs improvement?
Better AI is what we would like to see in future updates of Dynatrace Operator. We would prefer AI that can analyze and inform us about which features we have used that may become obsolete or present issues, such as memory leakage.
For how long have I used the solution?
We have eight people using this solution.
What do I think about the stability of the solution?
We have not found any issues to date.
How are customer service and support?
Dynatrace Operator's customer service team is very good and extremely helpful. They are very fast and well-trained. They even trained our team on-site when our team visited the Dynatrace office.
How was the initial setup?
The setup is straightforward with no issues.
What about the implementation team?
Implementation can take two to three hours if we do not encounter any errors. However, if we experience errors, we need to contact support, which can extend the timeline to two or three days.
What was our ROI?
To date, it is beneficial to use Dynatrace Operator.
What's my experience with pricing, setup cost, and licensing?
The licensing cost is very high.
What other advice do I have?
We utilize AI-driven analytics with this product. We track metrics on performance bottlenecks. Normally, the importance of specific metrics depends on the application. For example, if we need to calculate the IO of a system, then IO becomes the priority. Some applications are CPU-based, while others are RAM-based. The priority depends on the application type. I would rate this product an 8 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other

