kibana-load-testing

Environment requirements

• Maven 3.3.9+
• Java (JDK) 8+

Running performance testing on CI

Kibana CI has dedicated jobs to run performance testing for your Kibana branch or Cloud snapshot.

Running performance testing on your machine

Running simulation against a local instance

• Start ES and Kibana instances.

Important: Run Kibana without base path or add a static one to your kibana.yml like server.basePath: "/xfh" before start.

• Update Kibana configuration in /resources/config/local.conf file

app {
  host = "http://localhost:5620" //base url
  // host = "http://localhost:5620/xhf" if you start Kibana with static base path
  version = "8.0.0" //version
}

security {
  on = true // false for OSS, otherwise - true
}

auth {
  providerType = "basic"
  providerName = "basic"
  username = "elastic" // user should have permissions to load sample data and access plugins
  password = "changeme"
}

• start test scenario

mvn clean test-compile // if you made any changes to the config or simulations
mvn gatling:test -Dgatling.simulationClass=org.kibanaLoadTest.simulation.branch.DemoJourney // could be any other existing simulation class

Running simulation against existing cloud deployment

• Create Elastic Cloud deployment
• Add a new configuration file, e.g. config/cloud-7.10.0.conf

app {
  host = "https://str.us-central1.gcp.foundit.no:9243" //base url
  version = "7.10.0"
}

security {
  on = true
}

auth {
  providerType = "basic" // required starting 7.10
  providerName = "cloud-basic" // required starting 7.10
  username = "elastic" // user should have permissions to load sample data and access plugins
  password = "pwd"
}

• start test scenario with specified env argument

mvn clean test-compile
mvn gatling:test -Denv=config/cloud-7.10.0.conf -Dgatling.simulationClass=org.kibanaLoadTest.simulation.cloud.DemoJourney

Running simulation against newly created cloud deployment

• Generate API_KEY for your cloud user account
• Check deployment template at resources/config/deploy/default.conf
• start test scenario, new deployment will be created before simulation and deleted after it is finished

mvn clean test-compile
export API_KEY=<your_cloud_key>
mvn gatling:test -DcloudStackVersion=7.11.0-SNAPSHOT -Dgatling.simulationClass=org.kibanaLoadTest.simulation.cloud.DemoJourney

• Optionally create a custom deployment configuration and pass it in command -DdeploymentConfig=config/deploy/custom.conf

Follow logs to track deployment status:

09:40:23.535 [INFO ] httpClient - preparePayload: Using Config(SimpleConfigObject({"elasticsearch":{"deployment_template":"gcp-io-optimized","memory":8192},"kibana":{"memory":1024},"version":"7.11.0-SNAPSHOT"}))
09:40:23.593 [INFO ] httpClient - createDeployment: Creating new deployment
09:40:29.848 [INFO ] httpClient - createDeployment: deployment b76dd4a9255a417ca133fe8edd8157a2 is created
09:40:29.848 [INFO ] httpClient - waitForClusterToStart: waitTime 300000ms, poolingInterval 20000ms
09:40:30.727 [INFO ] httpClient - waitForClusterToStart: Deployment is in progress... Map(kibana -> initializing, elasticsearch -> initializing, apm -> initializing)
...
09:46:01.211 [INFO ] httpClient - waitForClusterToStart: Deployment is in progress... Map(kibana -> reconfiguring, elasticsearch -> started, apm -> started)
09:46:21.989 [INFO ] httpClient - waitForClusterToStart: Deployment is ready!
...
...
10:01:08.146 [INFO ] i.g.c.c.Controller - StatsEngineStopped
simulation org.kibanaLoadTest.simulation.cloud.DemoJourney completed in 429 seconds
10:01:08.148 [INFO ] httpClient - deleteDeployment: Deployment b76dd4a9255a417ca133fe8edd8157a2
10:01:09.440 [INFO ] httpClient - deleteDeployment: Finished with status code 200

Adding new simulation

The simplest way is to add new class in simulation package:

class MySimulation extends BaseSimulation {
  val scenarioName = s"My new simulation ${appConfig.buildVersion}"

  val scn = scenario(scenarioName)
    .exec(
      Login
        .doLogin(
          appConfig.isSecurityEnabled,
          appConfig.loginPayload,
          appConfig.loginStatusCode
        )
        .pause(5 seconds)
    )
    // conbine your simulation using existing scenarios or adding new ones
    .exec(Discover.doQuery(appConfig.baseUrl, defaultHeaders).pause(5 seconds))
    .exec(...)
    .exec(...)

  // Define load model, check https://gatling.io/docs/current/general/simulation_setup/
  setUp(
    scn
      .inject(
        rampConcurrentUsers(10) to (250) during (4 minute)
      )
      .protocols(httpProtocol)
  ).maxDuration(10 minutes)
}

In order to run your simulation, use the following command:

mvn gatling:test -Dgatling.simulationClass=org.kibanaLoadTest.simulation.MySimulation

Test results

Gatling generates html report for each simulation run, available in <project_root>/target/gatling/<simulation>path

Open index.html in browser to preview the report.

Open testRun.txt to find more about Kibana instance you tested.

Running performance testing from VM

Follow guide to setup VM and run tests on it.

Delete your deployments on Elastic cloud

Run the following command to delete all existing deployments

export API_KEY=<your_key>
mvn exec:java -Dexec.mainClass=org.kibanaLoadTest.deploy.DeleteAll -Dexec.classpathScope=test -Dscope=all

If you don't provide -Dscope=all it will delete only the ones with load-testing name prefix