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Visualization, storage and comparison results of performance testing by using graphana and influx db

In our presentation we describe approach to solve following problems in performance testing: - Visualization of test results. - Visualization of real time metrics. - Storage results of different test runners. - Comparison results of different test runners.

1 of 25
1
Visualization, storage and
comparison results of performance
testing by using Grafana and
InfluxDB.
Shapin Anton
Klykov Denis
May 27, 2017
#ITsubbotnik
Saint Petersburg
2
• Lead Software Test Automation Engineer
• 10+ years in IT
• Areas of my competency: manual,
automation, performance and etc.
• Successfully completed more than 10 BDD
projects.
Email: anton_shapin@epam.com
Skype: anton_shapin
GIT: http://github.com/kirlionik
Shapin Anton
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
4
How it works
Questions
AGENDA
Instruments
Problems#1
#2
#3
#4
5
LET`S START !
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
7
Instruments
8
How it works
Tests
Server metrics
Data Sources
…
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
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
JMeter -> InfluxDB
Create BeanShell Listener
12
InfluxDB -> Grafana
Add Data Source
13
InfluxDB -> Grafana
Create Dashboard and Graphs
14
InfluxDB -> Grafana
Graphs
15
InfluxDB -> Grafana
Graphs
Dashboards «Spaceship»
Dashboards «Spaceship»
18
Comparison
Create snapshots
19
Comparison
Compare snapshots
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
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
CONS:
Separate instances of InfluxDB and Grafana
Network issues
Specific SQL syntax
1
2
3
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
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
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

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Visualization, storage and comparison results of performance testing by using graphana and influx db

Editor's Notes

  1. 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.