Elasticsearch: 5. GitLab CI
This documentation is part of the GitHub Actions & GitLab CI guide. View the full guide here: Spin up a real Elasticsearch service from your GitHub Actions or GitLab CI pipeline, run your tests against it, and tear it down automatically.
👋 Welcome to the Stackhero documentation
Stackhero delivers a fully managed Elasticsearch cloud service designed for professionals who need reliable search, analytics, and logging at scale.
- Consistent performance and strong security with a private, dedicated infrastructure.
- Easily set up a custom domain name secured by HTTPS.
Get started quickly and focus on your work: you can have a production-ready Elasticsearch cloud hosting environment in about 5 minutes, with routine maintenance and security handled for you.
You can save this configuration as .gitlab-ci.yml. With this setup, every pipeline run spins up a fresh real Elasticsearch for your tests.
test:
image: ubuntu:24.04
variables:
STACK_NAME: "ci-elasticsearch-$CI_PIPELINE_ID-$CI_JOB_ID"
INSTANCE: "20G" # Change this as needed (see step 3)
REGION: "europe"
SERVICE_STORE: "elasticsearch"
# STACKHERO_TOKEN comes from the CI/CD variable you created in step 1.
script:
- set -euo pipefail
- curl -fsSL https://www.stackhero.io/install.sh | sh
- apt-get update && apt-get install -y --no-install-recommends jq curl
- STACK_ID=$(stackhero --format=script stack-create --name="$STACK_NAME")
- echo "STACK_ID=$STACK_ID" >> deploy.env
- SERVICE_ID=$(stackhero --format=script service-add --stack="$STACK_ID" --service-store="$SERVICE_STORE" --instance="$INSTANCE" --region="$REGION")
- echo "SERVICE_ID=$SERVICE_ID" >> deploy.env
- stackhero service-wait-for --service="$SERVICE_ID"
- config=$(stackhero service-configuration-get --service="$SERVICE_ID" --format=json)
- host=$(echo "$config" | jq -r '.configuration.domain')
user=$(echo "$config" | jq -r '.configuration.credentials.login')
password=$(echo "$config" | jq -r '.configuration.credentials.password')
# Call the cluster health endpoint.
- curl -fsS -u "$user:$password" "https://$host:9200/_cluster/health" | grep -q '"status"'
- echo "✅ Elasticsearch is reachable from CI."
# You can run your own test suite here using the credentials above ...
after_script:
- test -f deploy.env && . ./deploy.env || true
- >
if [ -n "${SERVICE_ID:-}" ]; then
stackhero service-delete --service="$SERVICE_ID" --confirm
stackhero service-wait-for --service="$SERVICE_ID"
fi
- >
if [ -n "${STACK_ID:-}" ]; then
stackhero stack-delete --stack="$STACK_ID" --confirm
fi
In GitLab, cleanup happens inside after_script. This section is always executed, even if the job fails, so your Elasticsearch resources are removed and you are not charged for resources you are not using.
In GitLab,
after_scriptruns in a fresh shell. To handle this, the script writes the service and stack IDs todeploy.envduring the job and reloads them before teardown. This makes sure that even if something fails mid-job, your resources are still cleaned up.
That is the complete CI lifecycle for Elasticsearch: create a stack, add the service, wait, retrieve credentials, smoke-test, and always tear down. Each pipeline run gets a real, isolated service, nothing left running when you are done. For more information about available commands and non-interactive STACKHERO_TOKEN authentication, you may want to explore the full CLI documentation.