The document outlines a comprehensive application performance monitoring solution aimed at enhancing IT operations and DevOps visibility. It discusses critical components for monitoring, such as application response times, database performance, and user satisfaction metrics, while identifying common performance issues and providing insights for troubleshooting. Upcoming modules will cover a range of topics including website monitoring strategies, cloud application monitoring, and enhancements for PHP and Node.js applications.

1. Applications Manager
An all round on-premise application performance monitoring solution for IT Ops and DevOps

2. Visibility: From web application
interface to the database

3. Week Module Date Schedule Status
1. Visibility: From web application
interface to the database
Aug 21 6:00 AM GMT
11:00 AM EDT
Completed
In progress
2. Big Data and the Non Relational
database
Aug 28 6:00 AM GMT
11:00 AM EDT
Upcoming
Upcoming
3. Implementing the right website
monitoring strategy
Sept 4 6:00 AM GMT
11:00 AM EDT
Upcoming
Upcoming
4 Monitoring Cloud applications and
Containers
Sept 11 6:00 AM GMT
11:00 AM EDT
Upcoming
Upcoming

4. Agenda
Application response times and user
satisfaction
Identifying transactions that are slowing
down your app
Slow database calls preventing ideal
performance
Analysing error traces to eliminate all
performance barriers

5. • 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

6. • Request overload
• Slice of death in Database
• Buggy application code
• Improper memory management
• Thread configuration
Reasons your application might be slow

7. Apdex score
Response
time
Application Performance Monitoring: Key performance indicators
Error traces
Transactio
n traces
Slow SQL
statements

8. APM Insight for end to end visibility of your web applications
Coming soon: Support for PHP and Node.js applications.

9. APM Insight data collection

10. 1. Application response times and user satisfaction

11. APM Insight Dashboard

12. • Global open standard to measure end user
satisfaction
• Scale of 0 to 1
• Helps identify satisfied, tolerated and
frustrated users
Apdex score

13. • Response time and response time by tiers
• Throughput
• Slowest transactions by response time
Response time and throughput

14. 2. Identifying transactions that are slowing down your app

15. • Response time
• Slow business transactions
• Error traces
Transaction elements for performance issues

16. Transaction component split up

17. • 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

18. 3. Slow database calls preventing ideal performance

19. • 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

20. Overall performance of the database

21. • 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

22. 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

23. Discovery & mapping
Possible reasons:
• Not enough resources
• Queries taking more time to execute
I. Database response is slow towards requests

24. Buffer Manager stats
• Buffer & Cache hit ratio
• Page Life Expectancy
• Cache used per minute

25. • See log file and data file details for individual SQL DBs
• Generate reports for log and data files
MS SQL log file & data files

26. Oracle tablespace stats
• Identify used & free bytes of individual table space.
• Monitor Reads and Writes per min
• Track data files & monitor datafile auto extend

27. MS SQL top queries by CPU

28. MS SQL Top queries by CPU

29. MS SQL Slow running queries

30. Oracle buffer gets - Top 10 queries
• Buffer Gets
• Execution
• Buffer Gets per Execution

31. Oracle disk reads - Top 10 queries

32. Details to analyze:
• Sessions
• Waits
• Locks
• Blocked queries
II. Unable to retrieve data while accessing a record in a web application

33. 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.

34. 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

35. Oracle - Session summary
• Know sessions wait time and its corresponding event.
• Track account status and user account expiry date.

36. MS SQL - Top waits by waiting tasks

37. MS SQL - Most blocked queries

38. Oracle - Lock
• Know which type of session lock type is being used.
• Track blocked session time.

39. 4. Analysing error traces to eliminate all performance barriers

40. • Identify slow internal invocations (methods) in the code and trace the execution details for URLs
Pinpoint

41. Traces to investigate time consuming transactions

43. Drill down to SQL statements

44. Details of background transactions

45. Pinpoint application errors

46. Stack trace of erroneous transactions

47. • Custom instrumentation allows you to monitor specific blocks of your
application code.
• It allows you to track your own application methods captured and displayed
in the transaction traces.
• The instrumented methods will be displayed with execution time under the
trace details tab
APM Insight custom instrumentation

48. Additional insights for Java web applications

49. • JVM Cpu usage
• Heap & Non heap memory
• Just in time compiler
• JVM Classes count
• Garbage collection details
• Thread details
• Configuration details
JVM performance insights

50. JVM: Garbage collector

51. JVM: threads

52. Contact : eval-apm@manageengine.com
Online Demo : demo.appmanager.com
1. Application response times and user satisfaction
2. Identifying transactions that are slowing down your app
3. Slow database calls preventing ideal performance
4. Analysing error traces to eliminate all performance barriers
Quick Recap:

53. Contact : eval-apm@manageengine.com
Online Demo : demo.appmanager.com