GitLab CI
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
andCHECKLY_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 thetest
command. - Use the
--force
flag on thedeploy
and / ordestroy
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.
variable | description |
---|---|
CHECKLY_TEST_REPO_SHA |
The SHA of the commit. |
CHECKLY_TEST_REPO_URL |
The URL of your repo on GitHub, GitLab etc. |
CHECKLY_TEST_REPO_BRANCH |
The branch name. |
CHECKLY_TEST_REPO_COMMIT_OWNER |
The committer’s name or email. |
CHECKLY_TEST_REPO_COMMIT_MESSAGE |
The commit message. |
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
andCHECKLY_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 themain
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 previouse2e-production
job is successful.
The output in the GitLab CI CI/CD -> Pipelines tab will now look similar to this:
You can contribute to this documentation by editing this page on Github