InfluxDB: 5. GitLab CI
This documentation is part of the GitHub Actions & GitLab CI guide. You can view the complete guide here: Launch a real InfluxDB service from your GitHub Actions or GitLab CI pipeline, run your tests against it, and automatically tear it down.
👋 Welcome to the Stackhero documentation
Stackhero provides a fully managed InfluxDB cloud environment, designed for speed and simplicity:
- Unlimited writes, queries, dashboards, tasks, and buckets.
- Unlimited data retention: keep your metrics for as long as you need.
- Unlimited network and disk transfers, with no hidden limits.
- One-click updates: always benefit from the latest features and fixes.
- Consistent performance and enhanced security on your own private, dedicated infrastructure.
With Stackhero, you can focus on your data and analysis. Deploying InfluxDB cloud hosting only takes a few minutes, with every setup optimised for long-term reliability.
You can save this configuration as .gitlab-ci.yml. With this setup, each pipeline run creates a new InfluxDB instance for your tests.
test:
image: ubuntu:24.04
variables:
STACK_NAME: "ci-influxdb-$CI_PIPELINE_ID-$CI_JOB_ID"
INSTANCE: "10G" # Change this as needed (see step 3)
REGION: "europe"
SERVICE_STORE: "influxdb"
# 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')
# Call the InfluxDB health endpoint.
- curl -fsS "https://$host:8086/health" | grep -q '"status":"pass"'
- echo "✅ InfluxDB is reachable from CI."
# You can run your own test suite here using the credentials above ...
after_script:
- test -f deploy.env && . ./deploy.env || true
- >
if [ -n "${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
On GitLab, cleanup is performed in after_script. This section is always executed, even if the job fails, ensuring your InfluxDB resources are deleted and you are not charged for unused resources.
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 cleanup. This ensures that even if something fails mid-job, your resources are still deleted.
That is the complete CI lifecycle for InfluxDB: create a stack, add the service, wait, retrieve credentials, smoke-test, and always tear down. Each pipeline run gets a real, isolated service, with nothing left running once you are finished. For more information about available commands and non-interactive STACKHERO_TOKEN authentication, you can refer to the full CLI documentation.