SlideShare a Scribd company logo
Taking your Jmeter test monitoring
to the next level
Richard Friedman, Redline13
Founder
@redlinethirteen
@richardfriedman
rich@redline13.com
Kranthi Paidi, PerfAcademy
Founder and Mentor
@theperfacademy
@kkpaidi
kranthi.paidi@perfacademy.com
Agenda
o About PerfAcademy
o Real time monitoring of results in Jmeter – A problem that was
o Still a problem!
o Jmeter + Telegraph + Influx + Grafana – A match possibly made in heaven
o Demo
o Q&A
About PerfAcademy
o Established in 2015
o Took almost an year of planning and interviews to design a comprehensive course
o A mentor driven online learning platform
o Completely focused on Performance Testing and Engineering discipline
o Live classes and cloud hosted labs
o Training from grass-roots level
o Open-ended problems a daily part of the course
o We strive to make our learners career ready
o No 5 day courses  
Real time monitoring of results in Jmeter
o Backend listener introduced in 2.13
o Provides graphite backend listener
o Default metrics are not enough
o Test plans with complex scenarios suffered
o Multiple Transactions
o Throughput Suffered
o Cloud based executions warrant more detailed statistics
o A modified JAR File from TAG - http://www.testautomationguru.com/download/640/
o Much more detailed
o No Listener needed
o Light weight
Still a Problem
o App / Web / DB Server health?
o PerfMon listener
o NO
o More listeners – More Degradation on Jmeter engine
o Why? Asynchronous Threads  Snowball effect
o Jmeter Master and Slaves health?
o JVM Performance of Jmeter instances?
o Can we have Jmeter do what it needs to do and do only that?
o AND still have more statistical information without shelling 1000s of $
o Can we pinpoint a potential bottleneck quickly and effectively?
o What about trending of results? In a CI-CD environment, trending is of utmost importance to spot a
regression
JTIG – A stack that promises a lot
oTelegraf
o Opensource
o Written in GO
o Designed for Time series
o Minimal foot print
o 50+ input and output plugins
o Influx
o Time series database
o Fast. Really fast.
o Grafana
o Open source visualization tool for time series data
o Extensible
o Number of plugins and templates
o Supports multiple data sources
The test lab layout
Slave 1
Influx
DB
App1 MySQL
Telegraph
Telegraph
Telegraf
A typical enterprise layout
Jmeter
Master
Slave
1
Slave
2
Slave
3
Influx
DB
Web
1
Web
2
App1
App2
MySQL
Telegraph
Telegraph
Telegraph
Telegraph
Telegraph
Telegraf
Telegraph
Telegraph
Demo
Things to watch out for
o Scaling Influx once you have a considerable number of agents
writing metrics is an exercise in itself
o Telegraf agents need to be restarted when you are invoking a new
java process – A possible bug
o Tag your transactions from Jmeter by passing along a user defined
property which will make you create more informative dashboards
o New in Grafana – Alerting & Thresholds mechanism. Still in beta
Q&A
Webinar: Taking your JMeter Test Monitoring To The Next Level (Ft. PerfAcademy)

More Related Content

Similar to Webinar: Taking your JMeter Test Monitoring To The Next Level (Ft. PerfAcademy)

Alliance2011 goldcoast Farid
Alliance2011 goldcoast FaridAlliance2011 goldcoast Farid
Alliance2011 goldcoast FaridFarid Vaswani
 
Introducing Continuous Delivery in the Enterprise
Introducing Continuous Delivery in the EnterpriseIntroducing Continuous Delivery in the Enterprise
Introducing Continuous Delivery in the Enterprise
XebiaLabs
 
Enterprise Day 2015 - JIRA in the enterprise (Scania)
Enterprise Day 2015 -  JIRA in the enterprise (Scania)Enterprise Day 2015 -  JIRA in the enterprise (Scania)
Enterprise Day 2015 - JIRA in the enterprise (Scania)
Riada AB
 
Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...
Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...
Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...
dev2ops
 
Preparing for Enterprise Continuous Delivery - 5 Critical Steps
Preparing for Enterprise Continuous Delivery - 5 Critical StepsPreparing for Enterprise Continuous Delivery - 5 Critical Steps
Preparing for Enterprise Continuous Delivery - 5 Critical Steps
XebiaLabs
 
141015 Discovering Scrum at Scrum Roma
141015 Discovering Scrum at Scrum Roma141015 Discovering Scrum at Scrum Roma
141015 Discovering Scrum at Scrum Roma
Peter Stevens
 
Manual Testing
Manual TestingManual Testing
Manual Testing
Gaurav Nigam
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptx
Roopa slideshare
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxGaurav Nigam
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxGaurav Nigam
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptx
Roopa slideshare
 
Testing Imp Document
Testing Imp DocumentTesting Imp Document
Testing Imp Document
Happy2501
 
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...
Skills Matter
 
Continous Delivery Toronto Presentation
Continous Delivery Toronto PresentationContinous Delivery Toronto Presentation
Continous Delivery Toronto Presentation
XebiaLabs
 
Scaling Ride-Hailing with Machine Learning on MLflow
Scaling Ride-Hailing with Machine Learning on MLflowScaling Ride-Hailing with Machine Learning on MLflow
Scaling Ride-Hailing with Machine Learning on MLflow
Databricks
 
Vincent Spena - Agile and Lean Methods for Hardware Product Development
Vincent Spena - Agile and Lean Methods for Hardware Product DevelopmentVincent Spena - Agile and Lean Methods for Hardware Product Development
Vincent Spena - Agile and Lean Methods for Hardware Product DevelopmentVincent Spena
 
DevOps/Flow workshop for agile india 2015
DevOps/Flow workshop for agile india 2015DevOps/Flow workshop for agile india 2015
DevOps/Flow workshop for agile india 2015Yuval Yeret
 
2014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.0
2014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.02014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.0
2014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.0
Joakim Lindbom
 
Cms Solution 07162010
Cms Solution 07162010Cms Solution 07162010
Cms Solution 07162010
larrybaker90
 
Testing In Production (TiP) Advances with Big Data and the Cloud
Testing In Production (TiP) Advances with Big Data and the CloudTesting In Production (TiP) Advances with Big Data and the Cloud
Testing In Production (TiP) Advances with Big Data and the Cloud
SOASTA
 

Similar to Webinar: Taking your JMeter Test Monitoring To The Next Level (Ft. PerfAcademy) (20)

Alliance2011 goldcoast Farid
Alliance2011 goldcoast FaridAlliance2011 goldcoast Farid
Alliance2011 goldcoast Farid
 
Introducing Continuous Delivery in the Enterprise
Introducing Continuous Delivery in the EnterpriseIntroducing Continuous Delivery in the Enterprise
Introducing Continuous Delivery in the Enterprise
 
Enterprise Day 2015 - JIRA in the enterprise (Scania)
Enterprise Day 2015 -  JIRA in the enterprise (Scania)Enterprise Day 2015 -  JIRA in the enterprise (Scania)
Enterprise Day 2015 - JIRA in the enterprise (Scania)
 
Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...
Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...
Without Self-Service Operations, the Cloud is Just Expensive Hosting 2.0 - (a...
 
Preparing for Enterprise Continuous Delivery - 5 Critical Steps
Preparing for Enterprise Continuous Delivery - 5 Critical StepsPreparing for Enterprise Continuous Delivery - 5 Critical Steps
Preparing for Enterprise Continuous Delivery - 5 Critical Steps
 
141015 Discovering Scrum at Scrum Roma
141015 Discovering Scrum at Scrum Roma141015 Discovering Scrum at Scrum Roma
141015 Discovering Scrum at Scrum Roma
 
Manual Testing
Manual TestingManual Testing
Manual Testing
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptx
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptx
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptx
 
ITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptxITeLearn-Manual Testing Day 05.pptx
ITeLearn-Manual Testing Day 05.pptx
 
Testing Imp Document
Testing Imp DocumentTesting Imp Document
Testing Imp Document
 
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...
 
Continous Delivery Toronto Presentation
Continous Delivery Toronto PresentationContinous Delivery Toronto Presentation
Continous Delivery Toronto Presentation
 
Scaling Ride-Hailing with Machine Learning on MLflow
Scaling Ride-Hailing with Machine Learning on MLflowScaling Ride-Hailing with Machine Learning on MLflow
Scaling Ride-Hailing with Machine Learning on MLflow
 
Vincent Spena - Agile and Lean Methods for Hardware Product Development
Vincent Spena - Agile and Lean Methods for Hardware Product DevelopmentVincent Spena - Agile and Lean Methods for Hardware Product Development
Vincent Spena - Agile and Lean Methods for Hardware Product Development
 
DevOps/Flow workshop for agile india 2015
DevOps/Flow workshop for agile india 2015DevOps/Flow workshop for agile india 2015
DevOps/Flow workshop for agile india 2015
 
2014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.0
2014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.02014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.0
2014-10 DevOps NFi - Why it's a good idea to deploy 10 times per day v1.0
 
Cms Solution 07162010
Cms Solution 07162010Cms Solution 07162010
Cms Solution 07162010
 
Testing In Production (TiP) Advances with Big Data and the Cloud
Testing In Production (TiP) Advances with Big Data and the CloudTesting In Production (TiP) Advances with Big Data and the Cloud
Testing In Production (TiP) Advances with Big Data and the Cloud
 

Recently uploaded

State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 

Recently uploaded (20)

State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 

Webinar: Taking your JMeter Test Monitoring To The Next Level (Ft. PerfAcademy)

  • 1. Taking your Jmeter test monitoring to the next level Richard Friedman, Redline13 Founder @redlinethirteen @richardfriedman rich@redline13.com Kranthi Paidi, PerfAcademy Founder and Mentor @theperfacademy @kkpaidi kranthi.paidi@perfacademy.com
  • 2. Agenda o About PerfAcademy o Real time monitoring of results in Jmeter – A problem that was o Still a problem! o Jmeter + Telegraph + Influx + Grafana – A match possibly made in heaven o Demo o Q&A
  • 3. About PerfAcademy o Established in 2015 o Took almost an year of planning and interviews to design a comprehensive course o A mentor driven online learning platform o Completely focused on Performance Testing and Engineering discipline o Live classes and cloud hosted labs o Training from grass-roots level o Open-ended problems a daily part of the course o We strive to make our learners career ready o No 5 day courses  
  • 4. Real time monitoring of results in Jmeter o Backend listener introduced in 2.13 o Provides graphite backend listener o Default metrics are not enough o Test plans with complex scenarios suffered o Multiple Transactions o Throughput Suffered o Cloud based executions warrant more detailed statistics o A modified JAR File from TAG - http://www.testautomationguru.com/download/640/ o Much more detailed o No Listener needed o Light weight
  • 5. Still a Problem o App / Web / DB Server health? o PerfMon listener o NO o More listeners – More Degradation on Jmeter engine o Why? Asynchronous Threads  Snowball effect o Jmeter Master and Slaves health? o JVM Performance of Jmeter instances? o Can we have Jmeter do what it needs to do and do only that? o AND still have more statistical information without shelling 1000s of $ o Can we pinpoint a potential bottleneck quickly and effectively? o What about trending of results? In a CI-CD environment, trending is of utmost importance to spot a regression
  • 6. JTIG – A stack that promises a lot oTelegraf o Opensource o Written in GO o Designed for Time series o Minimal foot print o 50+ input and output plugins o Influx o Time series database o Fast. Really fast. o Grafana o Open source visualization tool for time series data o Extensible o Number of plugins and templates o Supports multiple data sources
  • 7. The test lab layout Slave 1 Influx DB App1 MySQL Telegraph Telegraph Telegraf
  • 8. A typical enterprise layout Jmeter Master Slave 1 Slave 2 Slave 3 Influx DB Web 1 Web 2 App1 App2 MySQL Telegraph Telegraph Telegraph Telegraph Telegraph Telegraf Telegraph Telegraph
  • 10. Things to watch out for o Scaling Influx once you have a considerable number of agents writing metrics is an exercise in itself o Telegraf agents need to be restarted when you are invoking a new java process – A possible bug o Tag your transactions from Jmeter by passing along a user defined property which will make you create more informative dashboards o New in Grafana – Alerting & Thresholds mechanism. Still in beta
  • 11. Q&A