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ANALYSING
PERFORMANCE
METRICS
Steps beyond performance testing - Adoniram Mishra and
Rupesh Dubey, ThoughtWorks
Agenda:
 How is it related and different than performance testing
 What parameters to monitor
 What are the tools we use for performance monitoring
 How to analyze live data
 Basics are the same
9 Most important performance monitoring parameters
Uptime
Page Speed
Full page load time
Geographic performance
Disk Free space
Memory Utilization ( Heap memory, overall memory)
Database performance
CPU usage
Internal Jobs / cron jobs
• Simpler Architecture
• Centralised Monitoring
• Limited Bottlenecks
 Distributed Architecture
 Multi technologies
 Multi vendors
 Scattered Information
 Rich UI
 Daily Traffic : 2 million+page views
 7 back end systems
 1 Front end system
 Rich UI + responsiveness
 25 Servers
Client
gmetad
gmetad gmetad
gmond
Node
gmond
Node
gmond
Node
gmond
Node
Poll Poll
Poll
Poll
CLUSTER 1
Poll PollPoll
CLUSTER 2
Splunk Server
Data Source 1 Data Source 2 Data Source 3
Forwarders Forwarders
Forwarders
Alerts
Search
Dashboard, reports
 Case Study
War Room Notes:
Apr 25 9:00 AM -- [Agent
SPLUNK]The Memory on 3 Backend
servers have crossed 90% -- May
hem ! May Hem!
• Should we add more memory. -
This will be a temp fix, without
even investigating a root cause
• Let's see what SPLUNK gives
us.Does it had additional
information
• Real Fix lies with ....
Let's refer to our architecture
 Recent integration with a 3rd party system
 We wrote our custom UI
 In performance testing the page load time was about 7
sec.
 What's the root cause? Solution:
• Is our API call slow?
• Is our custom UI slow?
• Or is it? ....
 For most heavily used db queries
 Need to check which are the slow queries
 This is an important aspect to check while doing a functional testing
 How and what message is logged not just the log level
 Eg:
127.0.0.1 [01/jan/2014:16:38:24 -0600] "GET /api/books_details HTTP/1.1" 200 476
127.0.0.1 [01/jan/2014:16:39:24 -0600] "GET /api/magazines_details HTTP/1.1" 404
500
We can query the GET calls which is giving 404 as status code from the log server
Analyse Performance Metrics

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Analyse Performance Metrics

  • 1. ANALYSING PERFORMANCE METRICS Steps beyond performance testing - Adoniram Mishra and Rupesh Dubey, ThoughtWorks
  • 2. Agenda:  How is it related and different than performance testing  What parameters to monitor  What are the tools we use for performance monitoring  How to analyze live data
  • 3.  Basics are the same 9 Most important performance monitoring parameters Uptime Page Speed Full page load time Geographic performance Disk Free space Memory Utilization ( Heap memory, overall memory) Database performance CPU usage Internal Jobs / cron jobs
  • 4.
  • 5. • Simpler Architecture • Centralised Monitoring • Limited Bottlenecks
  • 6.  Distributed Architecture  Multi technologies  Multi vendors  Scattered Information  Rich UI
  • 7.  Daily Traffic : 2 million+page views  7 back end systems  1 Front end system  Rich UI + responsiveness  25 Servers
  • 8.
  • 9.
  • 10.
  • 12.
  • 13. Splunk Server Data Source 1 Data Source 2 Data Source 3 Forwarders Forwarders Forwarders Alerts Search Dashboard, reports
  • 14.
  • 15.
  • 16.  Case Study War Room Notes: Apr 25 9:00 AM -- [Agent SPLUNK]The Memory on 3 Backend servers have crossed 90% -- May hem ! May Hem!
  • 17. • Should we add more memory. - This will be a temp fix, without even investigating a root cause • Let's see what SPLUNK gives us.Does it had additional information • Real Fix lies with .... Let's refer to our architecture
  • 18.  Recent integration with a 3rd party system  We wrote our custom UI  In performance testing the page load time was about 7 sec.  What's the root cause? Solution: • Is our API call slow? • Is our custom UI slow? • Or is it? ....
  • 19.
  • 20.  For most heavily used db queries  Need to check which are the slow queries
  • 21.  This is an important aspect to check while doing a functional testing  How and what message is logged not just the log level
  • 22.  Eg: 127.0.0.1 [01/jan/2014:16:38:24 -0600] "GET /api/books_details HTTP/1.1" 200 476 127.0.0.1 [01/jan/2014:16:39:24 -0600] "GET /api/magazines_details HTTP/1.1" 404 500 We can query the GET calls which is giving 404 as status code from the log server