10 KiB
stage | group | info |
---|---|---|
Configure | Configure | To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#designated-technical-writers |
Infrastructure as code with Terraform and GitLab
GitLab managed Terraform State
Terraform remote backends enable you to store the state file in a remote, shared store. GitLab uses the Terraform HTTP backend to securely store the state files in local storage (the default) or the remote store of your choice.
The GitLab managed Terraform state backend can store your Terraform state easily and securely, and spares you from setting up additional remote resources like Amazon S3 or Google Cloud Storage. Its features include:
- Supporting encryption of the state file both in transit and at rest.
- Locking and unlocking state.
- Remote Terraform plan and apply execution.
To get started with a GitLab-managed Terraform State, there are two different options:
Get started using local development
If you plan to only run terraform plan
and terraform apply
commands from your
local machine, this is a simple way to get started:
-
Create your project on your GitLab instance.
-
Navigate to {settings} Settings > General and note your Project name and Project ID.
-
Define the Terraform backend in your Terraform project to be:
terraform { backend "http" { } }
-
Create a Personal Access Token with the
api
scope. The Terraform backend is restricted to users with Maintainer access to the repository. -
On your local machine, run
terraform init
, passing in the following options, replacing<YOUR-PROJECT-NAME>
,<YOUR-PROJECT-ID>
,<YOUR-USERNAME>
and<YOUR-ACCESS-TOKEN>
with the relevant values. This command initializes your Terraform state, and stores that state within your GitLab project. This example usesgitlab.com
:terraform init \ -backend-config="address=https://gitlab.com/api/v4/projects/<YOUR-PROJECT-ID>/terraform/state/<YOUR-PROJECT-NAME>" \ -backend-config="lock_address=https://gitlab.com/api/v4/projects/<YOUR-PROJECT-ID>/terraform/state/<YOUR-PROJECT-NAME>/lock" \ -backend-config="unlock_address=https://gitlab.com/api/v4/projects/<YOUR-PROJECT-ID>/terraform/state/<YOUR-PROJECT-NAME>/lock" \ -backend-config="username=<YOUR-USERNAME>" \ -backend-config="password=<YOUR-ACCESS-TOKEN>" \ -backend-config="lock_method=POST" \ -backend-config="unlock_method=DELETE" \ -backend-config="retry_wait_min=5"
Next, configure the backend.
Get started using GitLab CI
If you don't want to start with local development, you can also use GitLab CI to
run your terraform plan
and terraform apply
commands.
Next, configure the backend.
Configure the backend
After executing the terraform init
command, you must configure the Terraform backend
and the CI YAML file:
CAUTION: Important: The Terraform backend is restricted to users with Maintainer access to the repository.
-
In your Terraform project, define the HTTP backend by adding the following code block in a
.tf
file (such asbackend.tf
) to define the remote backend:terraform { backend "http" { } }
-
In the root directory of your project repository, configure a
.gitlab-ci.yaml
file. This example uses a pre-built image:image: name: hashicorp/terraform:light entrypoint: - '/usr/bin/env' - 'PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'
-
In the
.gitlab-ci.yaml
file, define some environment variables to ease development. In this example,GITLAB_TF_ADDRESS
is the URL of the GitLab instance where this pipeline runs, andTF_ROOT
is the directory where the Terraform commands must be executed:variables: GITLAB_TF_ADDRESS: ${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/terraform/state/${CI_PROJECT_NAME} TF_ROOT: ${CI_PROJECT_DIR}/environments/cloudflare/production cache: paths: - .terraform
-
In a
before_script
, pass aterraform init
call containing configuration parameters corresponding to variables required by the HTTP backend:before_script: - cd ${TF_ROOT} - terraform --version - terraform init -backend-config="address=${GITLAB_TF_ADDRESS}" -backend-config="lock_address=${GITLAB_TF_ADDRESS}/lock" -backend-config="unlock_address=${GITLAB_TF_ADDRESS}/lock" -backend-config="username=gitlab-ci-token" -backend-config="password=${CI_JOB_TOKEN}" -backend-config="lock_method=POST" -backend-config="unlock_method=DELETE" -backend-config="retry_wait_min=5" stages: - validate - build - test - deploy validate: stage: validate script: - terraform validate plan: stage: build script: - terraform plan - terraform show apply: stage: deploy environment: name: production script: - terraform apply dependencies: - plan when: manual only: - master
-
Push your project to GitLab, which triggers a CI job pipeline. This pipeline runs the
terraform init
,terraform validate
, andterraform plan
commands.
The output from the above terraform
commands should be viewable in the job logs.
Example project
See this reference project using GitLab and Terraform to deploy a basic AWS EC2 within a custom VPC.
Output Terraform Plan information into a merge request
Using the GitLab Terraform Report artifact,
you can expose details from terraform plan
runs directly into a merge request widget,
enabling you to see statistics about the resources that Terraform will create,
modify, or destroy.
Let's explore how to configure a GitLab Terraform Report artifact:
-
For simplicity, let's define a few reusable variables to allow us to refer to these files multiple times:
variables: PLAN: plan.tfplan PLAN_JSON: tfplan.json
-
Install
jq
, a lightweight and flexible command-line JSON processor. -
Create an alias for a specific
jq
command that parses out the information we want to extract from theterraform plan
output:before_script: - apk --no-cache add jq - alias convert_report="jq -r '([.resource_changes[]?.change.actions?]|flatten)|{\"create\":(map(select(.==\"create\"))|length),\"update\":(map(select(.==\"update\"))|length),\"delete\":(map(select(.==\"delete\"))|length)}'"
-
Define a
script
that runsterraform plan
andterraform show
. These commands pipe the output and convert the relevant bits into a store variablePLAN_JSON
. This JSON is used to create a GitLab Terraform Report artifact. The Terraform report obtains a Terraformtfplan.json
file. The collected Terraform plan report is uploaded to GitLab as an artifact, and is shown in merge requests.plan: stage: build script: - terraform plan -out=$PLAN - terraform show --json $PLAN | convert_report > $PLAN_JSON artifacts: name: plan paths: - $PLAN reports: terraform: $PLAN_JSON
For a full example, see Example
.gitlab-ci.yaml
file. -
Running the pipeline displays the widget in the merge request, like this:
-
Clicking the View Full Log button in the widget takes you directly to the plan output present in the pipeline logs:
Example .gitlab-ci.yaml
file
image:
name: hashicorp/terraform:light
entrypoint:
- '/usr/bin/env'
- 'PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'
# Default output file for Terraform plan
variables:
GITLAB_TF_ADDRESS: ${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/terraform/state/${CI_PROJECT_NAME}
PLAN: plan.tfplan
PLAN_JSON: tfplan.json
TF_ROOT: ${CI_PROJECT_DIR}
cache:
paths:
- .terraform
before_script:
- apk --no-cache add jq
- alias convert_report="jq -r '([.resource_changes[]?.change.actions?]|flatten)|{\"create\":(map(select(.==\"create\"))|length),\"update\":(map(select(.==\"update\"))|length),\"delete\":(map(select(.==\"delete\"))|length)}'"
- cd ${TF_ROOT}
- terraform --version
- terraform init -backend-config="address=${GITLAB_TF_ADDRESS}" -backend-config="lock_address=${GITLAB_TF_ADDRESS}/lock" -backend-config="unlock_address=${GITLAB_TF_ADDRESS}/lock" -backend-config="username=${GITLAB_USER_LOGIN}" -backend-config="password=${GITLAB_TF_PASSWORD}" -backend-config="lock_method=POST" -backend-config="unlock_method=DELETE" -backend-config="retry_wait_min=5"
stages:
- validate
- build
- deploy
validate:
stage: validate
script:
- terraform validate
plan:
stage: build
script:
- terraform plan -out=$PLAN
- terraform show --json $PLAN | convert_report > $PLAN_JSON
artifacts:
name: plan
paths:
- ${TF_ROOT}/plan.tfplan
reports:
terraform: ${TF_ROOT}/tfplan.json
# Separate apply job for manual launching Terraform as it can be destructive
# action.
apply:
stage: deploy
environment:
name: production
script:
- terraform apply -input=false $PLAN
dependencies:
- plan
when: manual
only:
- master