The document discusses an end-to-end application performance monitoring solution that integrates various aspects of performance, including application, infrastructure, and user experience. It outlines the challenges faced in traditional application performance troubleshooting and highlights the benefits of modern approaches that provide code-level visibility and quicker resolutions. The solution emphasizes optimizing database calls, error trace analysis, and ensuring high availability of applications while reducing resource costs.

1. End to end Application Performance Monitoring
solution for IT Ops and DevOps
Gartner Magic Quadrant for
Application Performance
Monitoring 2019
From Web Interface to the Database: Monitor all that matters

2. Application performance + infrastructure + user experience: all from a single console

3. Gaining code level visibility into node.js and PHP
Applications
Analyzing error traces to eliminate performance
barriers
Identifying transactions & slow database calls
that affect performance
Additional insights for Java based Applications
Agenda

4. Gaining code level visibility
Into node.js & PHP Applications

5. Users
Application is slow and
takes long time to load
IT manager Server admin
DEVOPS
SCENARIO

6. Memory usage
- Out of Memory
Exceptions
- Pages per second
- Memory leak due to
threads usage
App Code
- Buggy Application
code
- Slow DB calls
- Slow Method calls
- Web service calls
Web Server
- Request Overload
- Sessions
- Load Balancer
Reasons your Application might be slow

7. TRADITIONAL APPLICATION PERFORMANCE
TROUBLESHOTING APPROACH
High MTTR
End User Experience
x
Reproduce the Issue
Analyze Logs
App Code Analysis
Build Fix
Disadvantages

8. Modern Approach
APDE
X
Average Response Time
Throughput
Error Count

9. APPLICATION PERFORMANCE MANAGEMENT
APDEX score helps you see how satisfied
users are with your app

10. Identifying Transactions and
Slow Database calls that affect
application performance

11. Don't know
where to start?
Focus on Transactions
Database Calls
Find Slow Business Transactions
based on the user response time
and split up of the application
components
Get the Traces of the Database
Operation and understand the
time spent with SQL calls

12. Analyze error traces to
eliminate performance barriers

13. Business Metrics
Reduced Time
Start finding the RCA which is
clearly impacting the end user
happiness
Reduction in the time spent with
support and QA
USE CASE:
APPLICATION
PERFORMANCE
MONITORING
Challenge: Calls drained resources
and core banking operations affected

14. YOU NEED TO
GET SURGICAL Once you have determined where the
problem is, drill down and get the stack
traces.
Well, It's fetch
reports page
What's Next ?

15. INSIGHT INTO
PROBLEMATIC
CODE
Call to an External DB is the likely
cause of the situation
Developer perform Rapid iterations and
ensure stable application performance

16. Application
Availability
High availability of
your web applications
increases the revenue
Cost
Reduction
No need to add
expensive hardware
to solve application
performance
problems
Compliance
Tracking
Application usage for
compliance reporting
Operational
Efficiency
Possible to diagnose
problems with one
click
BENEFITS OF MODERN VS
TRADITIONAL APPROACH

17. Taking action to
resolve the problem
Developers
Standard Operating Procedure
DB Query
Optimization
APP Code
Fine Tune

18. BUSINESS
BENEFITS
Real world
Implementations
Reduction in the time spent for
application performance
troubleshooting
Reduction in the functional
testing of pre-production
commits
Suitable for Agile
Environments
70%
60%
90%

19. Monitor the
Process
Availability
Trigger Thread /
Heap Dump
Trigger Automatic
HelpDesk Tickets
v Script
Automation
Start
Automation:
Use Case

20. Additional Insights for
Java based Applications

21. Monitor Insights
and
Make Decisions
Faster
JVM Dependencies
Get fine grained
collected objects
count - Instance
Split up
Understand how fast
your application is
exhausting memory
so that you can fine
tune JVM/CLR
memory settings
Heap Memory
Usage,
Runtime Memory
Total classes
loaded and how
many are
currently loaded
Track memory in production
Memory Leak Garbage Collector

22. Configuring Application performance monitoring of
node.js and PHP Application
Analyzing the slow method and DB calls for critical
business transactions
Code level diagnostics with the stack traces of the
error transactions
Key
Takeaways

23. THANK YOU
THANK YOU
eval-apm@manageengine.com
http://demo.appmanager.com