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Similaire à #ITsubbotnik Spring 2017: Anton Shapin, Denis Klykov "Visualization, storage and comparison results of performance testing by using graphana and influx db"
Similaire à #ITsubbotnik Spring 2017: Anton Shapin, Denis Klykov "Visualization, storage and comparison results of performance testing by using graphana and influx db" (20)
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#ITsubbotnik Spring 2017: Anton Shapin, Denis Klykov "Visualization, storage and comparison results of performance testing by using graphana and influx db"
- 1. 1 Visualization, storage and comparison results of performance testing by using Grafana and InfluxDB. Shapin Anton Klykov Denis May 27, 2017
- 2. 2 • Lead Software Test Automation Engineer • 9+ years in IT • Areas of my competency: manual, automation, performance and etc. • Successfully completed 10 BDD projects. Email: anton_shapin@epam.com Skype: anton_shapin GIT: http://github.com/kirlionik Shapin Anton
- 3. 3 • Lead Performance Analyst • 9+ years in IT • Areas of my competency: performance and etc. Email: Denis_Klykov@epam.com Skype: denis_klykov Klykov Denis
- 6. 6 Problems: Visualization of test results.1 Visualization of real time metrics. 2 Storage results of different test runners. 3 Comparison results of different test runners. 4
- 8. 8 How it works Tests Server metrics Data Sources …
- 9. 9 Grafana: Allows you to query your metrics1 Metrics Visualization2 Define alerts where it makes sense3 Collaborate4 The analytics platform for all your metrics
- 10. 10 InfluxDB: Built-in HTTP API1 Data can be tagged, allowing very flexible querying 2 Simple to install and manage, and fast to get data in and out 3 It aims to answer queries in real-time.4 InfluxDB is an open source time series database with no external dependencies.
- 11. 11 JMeter -> InfluxDB Create BeanShell Listener
- 12. 12 InfluxDB -> Grafana Add Data Source
- 13. 13 InfluxDB -> Grafana Create Dashboard and Graphs
- 20. 20 TRY IT AT HOME docker build -t tutum/influxdb docker push tutum/influxdb docker run -d -p 8083:8083 -p 8086:8086 tutum/influxdb Open http://localhost:8083/ Create database with name Demo, login/pass: admin/admin 1 2 3 4 5 Install InfluxDB
- 21. 21 TRY IT AT HOME docker pull grafana/grafana docker run -i -d -p 3000:3000 -e "GF_SERVER_ROOT_URL=http://grafana.localhost" -e "GF_SECURITY_ADMIN_PASSWORD=secret" grafana/grafana Open http://localhost:3000/ Add dataSource InfluxDB 1 2 4 5 Install Grafana
- 22. 22 CONS: Separate instances of InfluxDB and Grafana Network issues Specific SQL syntax 1 2 3
- 23. 23 PROS: Visualization of test results. Visualization of real time metrics. Comparison results of different test runners. Storage results of different test runners. Sharing test results with all team members. 1 2 3 4 5
- 24. 24 1.It is a very good approach. But this is not a silver bullet. Summary 2.Separate instances of InfluxDB and Grafana. 3. It reduce time for analysis and finding bottlenecks.
- 25. 25 Thank you for attention! Email: Denis_Klykov@epam.com Skype: denis_klykov Email: anton_shapin@epam.com Skype: anton_shapin GIT: http://github.com/kirlionik
Notes de l'éditeur
- Built-in HTTP API so you don't have to write any server side code to get up and running. Data can be tagged, allowing very flexible querying. SQL-like query language. Simple to install and manage, and fast to get data in and out. It aims to answer queries in real-time. That means every data point is indexed as it comes in and is immediately available in queries that should return in < 100ms.