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Learn to identify common performance problems in distributed applications by analyzing logs and traces to detect inefficient database queries (N+1 patterns), excessive logging per request, problematic exceptions, and CPU hotspots in internal methods. Explore the Dynatrace Distributed Traces and Logs interface to spot these patterns, then advance to using DQL (Dynatrace Query Language) to join traces and logs for deeper analysis. Master practical tips and tricks for pattern detection including database query optimization, exception handling analysis, method performance hotspot identification, and log pattern recognition. Discover how to leverage the Dynatrace Notebook feature for systematic analysis and gain hands-on experience with advanced querying techniques that combine multiple data sources to troubleshoot distributed system performance issues effectively.
Syllabus
00:00 - Introduction
00:44 - What are Distributed Traces
01:00 - How to use the Notebook
01:28 - Distributed Traces App Tips
04:50 - Database Pattern Detection
05:54 - Exception Pattern Detection
06:15 - Method Hotspot Detection
06:39 - Log Pattern Detection
07:20 - Joining Logs and Traces
09:14 - Wrap Up
Taught by
Dynatrace