Performance Forensics - Understanding Application Performance
•Download as PPTX, PDF•
0 likes•711 views
This document discusses performance forensics and optimization techniques. It emphasizes the importance of collecting multi-layered measurements from the user level down to the system level to understand performance problems. Common measurements include response time, memory usage, CPU usage, database queries and latency. Identifying the problem area and isolating it is key before applying optimizations like caching, reducing interactions and data locality. Tuning may be needed at the application, web or database layers. The goal is to make problems reproducible and ensure optimizations address the underlying issues rather than just symptoms.
Report
Share
Performance Forensics - Understanding Application Performance
- 1. Performance ForensicsAlois ReitbauerdynaTrace Software
- 2. Forensicsforensisadj - "of or before the forum." In Roman times, a criminal charge meant presenting the case before a group of public individuals in the forum. … The individual with the best argument and delivery would determine the outcome of the case.
- 4. What does this chart tell usResponse TimeTime
- 5. A- Response time problem?B - CPU problem?C - Sync problem?D - Database problem?
- 7. We have to collect our evidence first
- 8. Multi-Layered MeasurementUser-LevelApplication-Level Container/App Server-Level System/OS/Virtualization-Level
- 9. UnderstandyourmeasurementsResponse Time and GCResponse Time only
- 10. How can this happen?A: Our response time is 2.3 secondsB: Our response time is 1.5 secondsC: Our response time is 6 seconds
- 11. The beauty of measures ... Page Load Time HTTP Request Time95 % Servlet TimeNetworkSnifferBrowserWeb ServerFirewallApplicationServerRequest Time (max)... is that there are so many to choose from
- 12. Types of MeasurementsCyclic MeasurementsAre collected ar regular time intervalsAre time basedJMX, CPU, MemoryEvent-based measurementsAre collected as a request occursAre transactionalResponse Times, CPU consumption
- 13. Types of StatisticsMin/MaxAverageMedianPercentilesUse percentiles for event-based measures and averages (or max) for cyclical measures
- 14. How you measure is important
- 15. Typical Measurements we work withMemoryConsumption, GCCPUUsage, Load AverageResponse TimeTransactionsDatabaseStatements, Pool Sizes CommunicationCalls, Latency, Size, Threads
- 17. What is the problem?We have response times of 6 seconds.We have response times of 6 seconds for 95 percent of our users at a load of 500 users with a CPU utilization of 10 percent.
- 19. Don‘t trust your assumptions
- 20. Top 10 Optimizations are bad
- 24. Make the problem reproducable. Otherwise you cannot check whether you fixed it.
- 25. When are we done?
- 26. ... when there are no more why questions
- 27. Solving the case
- 28. Ensure you solved the real problem
- 29. Fight problems not symptoms
- 30. When a measure supports a problem. Check for all measures affected by the problem.
- 31. Have you tuned at the right place
- 32. Watch out for side effects
- 34. Memory and GCState HandlingData VolumeWeb TierDatabaseNumber of RequestsJavaScriptLatencyData VolumeRenderingComm. BehaviorBusiness TierO/R AccessMemory and GCBrowser
- 35. Remoting StackApplication Developers ViewClient ApplicationServer ApplicationStubFacadeSerializationDeserialisationClient InfrastructureServer InfrastructureNetworkingNetworking
- 37. Create Data LocalityReduce InteractionsAvoid Protocol OverheadAdjust Interfaces
- 38. The DB layerApplicationApplication CodeO/RMapping LayerCaching LayerSQLTCP/IPResult SetStatementConnectionConnectionDatabaseConnectionPoolPreparedStatement...PreparedStatement
- 39. Caching in the DB layerCross SessionCacheSession CachesQueryCache(s)Execution PlanCachePrepared StatementCacheDatabasePersistenceFrameworkJDBCLayer
- 40. Tune LoadingBehaviorOptimizeforcachingselect … from a,b,cselect … from b,c,a… join fetch ….Reduce DB CallsDefine Proper Entities
- 41. The Web Layer
- 42. HighDatavolumeThread-/ConnectionpoolsHTML RenderingHighLatencyDatabaseAccessNetworkWebService/Backend CallsMany AJAX/HTTPcallsServerBrowserBrowserBrowserJavaScriptPerformance
- 43. Caching on the WebServerside Data CacheServer providingCaching InformationCache per ClientServerProxy Cachefor Many ClientsClients
Editor's Notes
- When there is a murder, suspicious fire or hit-and-run accident, police and rescue workers aren't the only ones in on the investigation. Forensic scientists also play an important part. They will take samples collected at the scene and analyze them in a forensics laboratory. With a little ingenuity and some very high-tech equipment, forensic scientists can help law enforcement catch even the wiliest perpetrator.Forensic science is a discipline that applies scientific analysis to the justice system, often to help prove the events of a crime. Forensic scientists analyze and interpret evidence found at the crime scene. That evidence can include blood, saliva, fibers, tire tracks, drugs,alcohol, paint chips and firearm residue.
- http://www.istockphoto.com/stock-photo-13437760-over-a-dead-body.php?st=bc63d6b
- http://www.istockphoto.com/stock-photo-4608404-microscope.php?st=a02af80