Key to optimal end user experience
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The document outlines strategies for optimizing application performance and enhancing end user satisfaction through effective monitoring and troubleshooting techniques. Key components include identifying slow transactions, analyzing database performance, and utilizing application performance monitoring (APM) tools for insights. Upcoming modules focus on topics such as big data infrastructure and website monitoring strategies to ensure optimal user experience.
Key to optimal end user experience
- 1. • Request overload • Slice of death in Database • Buggy application code • Improper memory management • Thread configuration Key to Optimal End User Experience
- 2. Week Module Date Schedule Status 1. Key to Optimal End User Experience Nov 13 6:00 AM GMT 11:00 AM EDT Completed In progress 2. Unlock the value of your big data infrastructure Nov 20 6:00 AM GMT 11:00 AM EDT Upcoming Upcoming 3. Building the right website monitoring strategy Dec 4 6:00 AM GMT 11:00 AM EDT Upcoming Upcoming 4 Monitoring Cloud,Containers and hyperconverged infrastructure Dec 11 6:00 AM GMT 11:00 AM EDT Upcoming Upcoming
- 3. Agenda Optimize application response times and measure end user satisfaction Pinpoint transactions that are slowing down your app Drill down to SQL statements Analyse traces and isolate errors
- 4. • End users typically expect a quick response time (<3 secs) while using any web application. • The web server, application server, load balancer and database are among the critical components that require detailed visibility. • The response time depends on several components working together, all of which have to perform efficiently to deliver the right user experience. Application Model Overview
- 5. Reasons your application might be slow
- 6. Apdex score Response time Application Performance Monitoring: Key performance indicators Error traces Transaction traces Slow SQL statements
- 7. APM Insight for end to end visibility of your web applications Coming soon: Support for PHP and Node.js applications.
- 8. APM Insight data collection
- 9. 1. Optimize Application response times and End user satisfaction
- 11. • Global open standard to measure end user satisfaction • Scale of 0 to 1 • Helps identify satisfied, tolerated and frustrated users Apdex score
- 12. • Response time and response time by tiers • Throughput • Slowest transactions by response time Response time and throughput
- 13. 2. Pinpoint transactions that are slowing down your App
- 14. Transaction elements for performance issues
- 15. Transaction component split up
- 16. • Individual business transaction apdex score • Transaction response time broken by components like web request, handle request, mvc, servlet, aspx • Transaction response time and throughput status Transaction element wise response times
- 17. 3. Drill down to SQL statements
- 18. • Identify slow database calls • Find the most hit database tables, and determine if specific tables can be indexed well • Start tuning your database performance and diagnose slow queries. Queries delaying response time
- 19. Overall performance of the database
- 20. • Find the most executed database operations and its response time • Database operation by caller • Find the busiest table and the most performed SQL operation on the table. Individual database calls
- 21. Common database problems and how to tackle them I. Database response is slow towards requests II. Not able to retrieve data when accessing a particular record in a web application
- 22. Discovery & mapping Possible reasons: • Not enough resources • Queries taking more time to execute I. Database response is slow towards requests
- 23. Buffer Manager stats • Buffer & Cache hit ratio • Page Life Expectancy • Cache used per minute
- 24. • See log file and data file details for individual SQL DBs • Generate reports for log and data files MS SQL log file & data files
- 25. Oracle tablespace stats • Identify used & free bytes of individual table space. • Monitor Reads and Writes per min • Track data files & monitor datafile auto extend
- 26. MS SQL top queries by CPU
- 27. MS SQL Top queries by CPU
- 28. MS SQL Slow running queries
- 29. Oracle buffer gets - Top 10 queries • Buffer Gets • Execution • Buffer Gets per Execution
- 30. Oracle disk reads - Top 10 queries
- 31. Details to analyze: • Sessions • Waits • Locks • Blocked queries II. Unable to retrieve data while accessing a record in a web application
- 32. MS SQL - Session details • Displays the SQL server session ID running in SQL server along with its status. • Shows information on blocked request and allows user to kill user session.
- 33. Oracle - Session details • Identify ONLINE, OFFLINE, or INVALID sessions as well as sessions initiated by specific users. • Monitor number of memory sorts, table scans performed. • Track physical & logical reads of the session as well as buffer cache hit ratio
- 34. Oracle - Session summary • Know sessions wait time and its corresponding event. • Track account status and user account expiry date.
- 35. MS SQL - Top waits by waiting tasks
- 36. MS SQL - Most blocked queries
- 37. Oracle - Lock • Know which type of session lock type is being used. • Track blocked session time.
- 38. 4. Analyse traces and isolate errors
- 39. • Identify slow internal invocations (methods) in the code and trace the execution details for URLs Pinpoint
- 40. Traces to investigate time consuming transactions
- 42. Drill down to SQL statements
- 43. Details of background transactions
- 45. Stack trace of erroneous transactions
- 46. APM Insight custom instrumentation
- 47. Additional insights for Java web applications
- 50. • Live, Daemon, Peak, Sleeping Threads • Aggregated CPU & user time • Deadlock threads JVM: threads
- 52. Contact : eval-apm@manageengine.com Online Demo : demo.appmanager.com 1. Optimize application response times and measure end user satisfaction 2. Pinpoint transactions that are slowing down your App 3. Drill down to SQL statements 4. Analyse traces and isolate errors Quick Recap:
- 53. Contact : eval-apm@manageengine.com Online Demo : demo.appmanager.com