Dynatrace Operator
AI-driven analytics has improved root cause analysis and predicts performance bottlenecks
What is our primary use case?
We have shortlisted application performance tools, and we are currently using Dynatrace Operator.
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.
Dynatrace: Best-in-Class Monitoring with Broad Coverage and Low Overhead
Davis AI Delivers Clear Root-Cause Insights and Real-Time User Monitoring
Fully Automated Root-Cause Analysis with Lightning-Fast Performance
Also it integreates seamlessly with any custom or saas based apps.
The performance is lightning speed fast with ease of accessbility and UI.
The onboarding is pretty straight forward by installing oneAgent for complete monitoring.
The learning cuve is also complex, it requires significant training and time investment. Also for some topics and troubleshooting errors the documentation is outdated with specific frameworks so I have to use trial and error.
For me the increased productivity and for the team and also real user monitoring allow me to ee exactly where customers encounter friction or crashes, leading to higher satisfaction and conversion rates.
I can correlate technical performance directly with business KPIs, such as tracking how a slow checkout process impacts revenue or conversion rates