Dynatrace AI Performance Engineering
February 07, 2020

Dynatrace AI Performance Engineering

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Dynatrace

Dynatrace is used across the entire organization: development, QA, operations, business, InfoSec, executive management.
Improved customer experience. Faster time to Releases. Faster root cause determination. Performance and scalability issues discovery. Provides deeper insight into transactions run-time, topology, containers, network and infrastructure performance, latency contributions, resource issues, Java run-time and top database issues.

Pros

  • Ease of use.
  • Rapid root cause identification.

Cons

  • Custom reporting.
  • Very positive ROI.
  • Faster time to root cause.
We have used New Relic APM and we love it. New Relic is a low-cost top choice.
Dynatrace takes innovation much further and regularly delivers new and very useful features. The Dynatrace AI Causation engine sets it apart from other APM tools, providing accurate context, and multidimensional analysis and figures out root cause faster than humans and even faster than me. Dynatrace is a remarkable APM tool.
Dynatrace has very, very skilled and responsive tech support. The Dynatrace community is helpful. The product managers and engineers have always been very helpful and jump in to figure out and code up solutions. Professional services is excellent. Releases are every two weeks. Product updates and new features are communicated out clearly.

Do you think Dynatrace delivers good value for the price?

Yes

Are you happy with Dynatrace's feature set?

Yes

Did Dynatrace live up to sales and marketing promises?

Yes

Did implementation of Dynatrace go as expected?

Yes

Would you buy Dynatrace again?

Yes

Well suited for financial services sector to improve customer experience, minimize downtime, rapid root cause analysis. Provides Deep insight into runtime transactions, full tech stack, network and infrastructure, database performance, SQL query performance, JVM resource utilizations, threading, memory usage and connections. Ideal for performance testing, test results analysis and reporting test artifacts.

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