Enabling DevOps to optimize application and server performance
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The document outlines the architecture of an applications manager and its components, such as database servers, application servers, and web servers. It focuses on optimizing app performance through monitoring tools, identifying performance bottlenecks, analyzing JVM metrics, and configuring transaction tracing. Additionally, it provides information on transaction-level metrics and offers support options for users.
Enabling DevOps to optimize application and server performance
- 2. Web Application Architecture Consists of components such as: • DB servers - SQL, Oracle, etc. • Application servers - JBoss, WebLogic • Reverse proxy - NGiNX • Web servers - IIS, Apache • Websites
- 4. Today's agenda Ensuring visibility and complete insight into your applications Identifying the app components responsible for a performance bottleneck Identifying which SQL query is slowing down a web application Monitoring JVM performance
- 5. Analyze and measure web app performance
- 7. Monitoring key web applications with APM • Server-side problems need server-side monitoring • Deep dive into performance metrics from URL to SQL • Transaction tracing
- 8. APM Insight
- 9. Apdex scores • Open standard • Scale of 0 to 1 • Satisfied, tolerating, and frustrated users
- 10. Transaction-level metrics • Response time • Throughput • Components split up
- 11. WebTransacti on
- 12. WebTransacti on • Transaction Apdex score • Transaction Response Time Broken by Components like, servlet, aspx, jsp, filter, etc. • Transaction Response Time and Throughput
- 13. Agent configuration • Customize threshold value for Apdex, Transaction tracing, stacktrace. • Configure sampling factor- that is, if the sampling factor is 5, then 1 in every 5 transaction will be captured.
- 14. Configuration • General • Trace Settings • Transaction Merge • AppFilters • Background Transaction • Advanced
- 15. Identifying which SQL query is slowing down a web application
- 16. See how your database is performing
- 17. Trace transactions down to the SQL query level
- 18. Identifying the Java components responsible for a performance bottleneck
- 19. Know what's happening in the background too!
- 22. JVM metrics • JVM CPU usage • Heap & Non-Heap memory • Just in Time compiler • JVM Classes count
- 23. JVM metrics - Garbage Collector
- 24. JVM metrics - Threads • Live, Daemon, Peak, Sleeping Threads • Aggregated CPU & user time • Deadlock threads
- 25. Java Runtime Monitoring • Connection time • Memory • Heap & Non-Heap • Perm Gen
- 26. Java Runtime Monitoring- Garbage Collection
- 28. Trigger -Thread dumps, heap dumps
- 29. Trigger thread dumps, heap dumps
- 30. Quick recap * APM Insight agent installation & configuration * Various metrics * Java Run time monitor Support [email protected] Eval [email protected] Online Demo demo.appmanager.com