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GitLab CI

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Using the CLI in a CI/CD pipeline

We’ve optimized the Checkly CLI to work in any CI/CD workflow. Here are the basics you need to know that will come in handy when adapting the examples we give you to your own, specific setup.

For authentication, make sure to set the CHECKLY_API_KEY and CHECKLY_ACCOUNT_ID parameters as environment variables in your CI/CD platform.
Set the reporter you want to use for the test command using the --reporter flag, i.e. --reporter=dot.
To store a test session with full logging, traces and vides, set the --record flag for the test command.
Use the --force flag on the deploy and / or destroy commands to skip the normal confirmation steps.

When using the --record flag, the CLI will attempt to parse git specific information from the environment to display in the recorded test session as metadata. However, you can also set these data items specifically by using environment variables.

item	auto	variable	description
Repository	false	`repoUrl` in `checkly.config.ts` or `CHECKLY_REPO_URL`	The URL of your repo on GitHub, GitLab etc.
Commit hash	true	`CHECKLY_REPO_SHA`	The SHA of the commit.
Branch	true	`CHECKLY_REPO_BRANCH`	The branch name.
Commit owner	true	`CHECKLY_REPO_COMMIT_OWNER`	The committer’s name or email.
Commit message	true	`CHECKLY_REPO_COMMIT_MESSAGE`	The commit message.
Environment	false	`CHECKLY_TEST_ENVIRONMENT`	The environment name, e.g. “staging”

Check the CLI command line reference for more options.

Make sure to set your CHECKLY_API_KEY and CHECKLY_ACCOUNT_ID as secrets in your GitLab CI settings before you get started.

A Basic pipeline example

Create a new .gitlab-ci.yml file in your repo, or add the steps and stages from the example below to your existing file. This pipeline is “branch aware” and treats the main branch as the production branch. This means checks are only deployed to Checkly after they are ran against production (after merging to main) and the checks passed.

image: node:latest

# define your stages to deploy your app, run tests and then deploy the tests as monitors.
stages:
  - deploy
  - checkly-test
  - checkly-deploy

# Set the necessary credentials and export variables we can use to instrument our test run. Use the ENVIRONMENT_URL
# to run your checks against staging, preview or production.
variables:
  CHECKLY_API_KEY: "$CHECKLY_API_KEY"
  CHECKLY_ACCOUNT_ID: "$CHECKLY_ACCOUNT_ID"
  CHECKLY_TEST_REPO_BRANCH: "$CI_COMMIT_BRANCH"
  CHECKLY_TEST_REPO_URL:  "$CI_PROJECT_URL"

deploy-app:
  stage: deploy
  script:
    - echo "add your deployment logic here"
    # - ENVIRONMENT_URL= <add some command to extract a branch specific url to target

# Set a different environment name based on the branch you are testing against.
e2e-staging:
  stage: checkly-test
  cache:
    key:
      files:
        - package-lock.json
    paths:
      - node_modules  
  variables:
    CHECKLY_TEST_ENVIRONMENT: review/$CI_COMMIT_REF_SLUG
  script:
    - npm ci
    - npx checkly test --record
  except:
    - main

e2e-production:
  stage: checkly-test
  cache:
    key:
      files:
        - package-lock.json
    paths:
      - node_modules  
  variables:
    CHECKLY_TEST_ENVIRONMENT: "production"
  script:
    - npm ci
    - npx checkly test --record
  only:
    - main

monitor:
  stage: checkly-deploy
  cache:
    key:
      files:
        - package-lock.json
    paths:
      - node_modules  
  needs: ["e2e-production"]
  script:
    - npx checkly deploy --force
  only:
    - main

The above example creates three stages:

deploy: this is where your application specific deployment logic happens
checkly-test: after the deploy stage, we run the checkly test command. We run two different jobs based on whether we are on the main branch of a different, feature branch so we can set a different environment.
checkly-deploy: the last stage, that only runs on main is to deploy the checks to Checkly. Note that this stage only runs when the previous e2e-production job is successful.

The output in the GitLab CI CI/CD -> Pipelines tab will now look similar to this:

GitLab CI Pipeline

Jenkins Vercel

Last updated on April 22, 2024. You can contribute to this documentation by editing this page on Github