The document discusses application performance management, analyzing slow queries, and measuring end user satisfaction. It outlines the architecture of application performance management tools and provides insights on optimizing application and database performance. Additionally, it emphasizes the importance of monitoring end user interactions to enhance web application efficiency.

1. Closing the door on Application
performance problems

2. 2. Analyzing transaction elements for
performance issues
1. Reasons your application might be slow
3. Slow performing queries delaying
response time
4. Measuring end user satisfaction levels
Agenda

3. • A typical application
infrastructure consists of
different components that
interact in a variety of ways
to fulfill request from
application end users
• Web applications served
from an application server
• Database servers or data
stores
Application Model Overview

4. • Request Overload
• Slice of death in Database
• Application Code
• Memory Management
• Threads configuration
1. Reasons your application might be slow

5. Apdex
score
Application Performance Management
Key performance indicators
Application
availability
Error count
Average
Response
time
Request
Rate
Application &
Server CPU

6. APM Insight for end to end visibility of your web
applications

7. APM Insight Architecture

8. • Identify slow queries
• Analyze exceptions
• Comprehensive view on DB operations
• Track custom methods
• Code level diagnostics
Deep Insights into your web application
performance

9. Comprehensive Application performance using APM
Insight

10. • Execute the installation package of
APM Insight
• Enter the IP Address of the applications
manager instance
• Configure other options such as apdex
threshold, transaction tracing
.Net Agent Installation

11. Customize agent configuration

12. • Global open standard
• Measure of response
time against a defined
threshold
• Scale of 0 to 1
• Satisfied, tolerated and
frustrated users
Measure end user satisfaction levels using apdex
score

13. • Response time
• Throughput
• Slow business
transactions
• Error transactions
2. Analyzing transaction elements for performance
issues

14. Individual business web transactions with component split
up

15. • 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
Response time of individual business transaction
elements

16. • 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
3. Slow performing queries delaying response
time

17. See how your database is behaving overall

18. • 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

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

20. • Traces will chart the sequence of internal methods of the URL allowing you to drill down into
transactions to view stack traces and SQL queries for slow or failed requests.
Traces to investigate time consuming transactions

21. Trace Details contd

22. Drill down to SQL Statements

23. Details of background transactions

24. Pinpoint application errors

25. Stack trace of erroneous transactions

26. • 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

27. Additional insights for Java web applications

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

29. JVM Garbage collector

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

31. • The Health monitor is a self diagnostic tool, intended to provide a snapshot of the agent settings, for
identifying and troubleshooting frequently encountered configuration issues in the agent
APM Insight .Net agent health monitor
• Check Network connectivity
• Monitor worker processes
• Check Application filters
• View Service settings
• Verify profiler status

32. • Capture errors, network requests, page load details and other metrics in your
web applications
• Immediately test on error transactions to eliminate false positives
• Set up end user monitoring agents in branch facilities to check the availability
and performance of your distributed applications
4. Measuring end user satisfaction levels

33. Understanding the end user journey

34. Installing EUM agents in your branch offices or customer
locations

35. • Mimic user interaction
• Detect and measure the critical components of each page with the help of waterfall
model
• Manage your business critical web flows like a pro
• Reduce blame game between application development and network operations team
Real Browser Monitoring

36. • Launch the web
transaction recorder
• Enter the host and SSL
port of Applications
Manager
• Enter the Applications
Manager credentials and
proceed with the
recording
Recording a web script

37. Monitor critical business transaction workflows

38. Deeper visibility into multistep user interactions

39. • Use our EUM agent to understand global application performance through easy to use graphs and
charts. Determine if performance is excellent, good, moderate, poor or bad when accessed from
different countries.
Measure web application performance across
globe

40. Optimize the front end web components

41. • It depicts the series of actions that occur between a user and a server until a Web page is displayed
in a end user’s browser.
Find network latency using the waterfall model
approach

42. • Provide seamless digital end user experience
• Playback scripts including screen, keyboard, and mouse interactions performed by users
• Meet SLAs by ensuring accurate performance of your web applications from all geographical locations
• Pro active monitoring to reduce the number of reported incidents from end users
• Playback scripts including screen, keyboard, and mouse interactions performed by users
The need for end user monitoring

43. Contact : eval-apm@manageengine.com
Online Demo : demo.appmanager.com
1. Comprehensive capability to debug the enterprise grade business
applications
2. Pinpoint application errors down to the line of code
3. Monitor JVM for Java applications
4. Measuring end user satisfaction levels of critical workflows across the
globe
Quick Recap:

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