Learn how to optimize application response time, measure end user satisfaction, and analyze application errors with ease.

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

10. APM Insight Dashboard

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

44. Pinpoint application errors

45. Stack trace of erroneous transactions

46. APM Insight custom instrumentation

47. Additional insights for Java web applications

48. JVM performance insights

49. JVM: Garbage collector

50. • Live, Daemon,
Peak, Sleeping
Threads
• Aggregated
CPU & user
time
• Deadlock
threads
JVM: threads

51. Enhanced APM Insight

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