Terraform integration in merge requests (FREE ALL)

Collaborating around Infrastructure as Code (IaC) changes requires both code changes and expected infrastructure changes to be checked and approved. GitLab provides a solution to help collaboration around Terraform code changes and their expected effects using the merge request pages. This way users don't have to build custom tools or rely on 3rd party solutions to streamline their IaC workflows.

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 creates, modifies, or destroys.

WARNING: Like any other job artifact, Terraform Plan data is viewable by anyone with the Guest role for the repository. Neither Terraform nor GitLab encrypts the plan file by default. If your Terraform Plan includes sensitive data such as passwords, access tokens, or certificates, we strongly recommend encrypting plan output or modifying the project visibility settings.

Configure Terraform report artifacts

GitLab integrates with Terraform through CI/CD templates that use GitLab-managed Terraform state and display Terraform changes on merge requests. We recommend customizing the pre-built image and relying on the gitlab-terraform helper provided within for a quick setup.

To manually configure a GitLab Terraform Report artifact:

1. For simplicity, let's define a few reusable variables to allow us to refer to these files multiple times:

   variables:
     PLAN: plan.cache
     PLAN_JSON: plan.json

2. Install jq, a lightweight and flexible command-line JSON processor.

3. Create an alias for a specific jq command that parses out the information we want to extract from the terraform 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)}'"

   NOTE: In distributions that use Bash (for example, Ubuntu), alias statements are not expanded in non-interactive mode. If your pipelines fail with the error convert_report: command not found, alias expansion can be activated explicitly by adding a shopt command to your script:

   before_script:
     - shopt -s expand_aliases
     - 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)}'"

4. Define a script that runs terraform plan and terraform show. These commands pipe the output and convert the relevant bits into a store variable PLAN_JSON. This JSON is used to create a GitLab Terraform Report artifact. The Terraform report obtains a Terraform tfplan.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:
       reports:
         terraform: $PLAN_JSON

   For a full example using the pre-built image, see Example .gitlab-ci.yml file.

   For an example displaying multiple reports, see .gitlab-ci.yml multiple reports file.

5. Running the pipeline displays the widget in the merge request, like this:

   

6. Selecting the View Full Log button in the widget takes you directly to the plan output present in the pipeline logs:

   

Example .gitlab-ci.yml file

default:
  image: registry.gitlab.com/gitlab-org/terraform-images/stable:latest
  cache:
    key: example-production
    paths:
      - ${TF_ROOT}/.terraform
  before_script:
    - cd ${TF_ROOT}

variables:
  TF_ROOT: ${CI_PROJECT_DIR}/environments/example/production
  TF_ADDRESS: ${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/terraform/state/example-production

stages:
  - prepare
  - validate
  - build
  - deploy

init:
  stage: prepare
  script:
    - gitlab-terraform init

validate:
  stage: validate
  script:
    - gitlab-terraform validate

plan:
  stage: build
  script:
    - gitlab-terraform plan
    - gitlab-terraform plan-json
  artifacts:
    name: plan
    paths:
      - ${TF_ROOT}/plan.cache
    reports:
      terraform: ${TF_ROOT}/plan.json

apply:
  stage: deploy
  environment:
    name: production
  script:
    - gitlab-terraform apply
  dependencies:
    - plan
  when: manual
  only:
    - master

Multiple Terraform Plan reports

Starting with GitLab version 13.2, you can display multiple reports on the merge request page. The reports also display the artifacts: name:. See example below for a suggested setup.

default:
  image:
    name: registry.gitlab.com/gitlab-org/gitlab-build-images:terraform
    entrypoint:
      - '/usr/bin/env'
      - 'PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'
  cache:
    paths:
      - .terraform

stages:
  - build

.terraform-plan-generation:
  stage: build
  variables:
    PLAN: plan.tfplan
    JSON_PLAN_FILE: tfplan.json
  before_script:
    - cd ${TERRAFORM_DIRECTORY}
    - terraform --version
    - terraform init
    - apk --no-cache add jq
  script:
    - terraform validate
    - terraform plan -out=${PLAN}
    - terraform show --json ${PLAN} | jq -r '([.resource_changes[]?.change.actions?]|flatten)|{"create":(map(select(.=="create"))|length),"update":(map(select(.=="update"))|length),"delete":(map(select(.=="delete"))|length)}' > ${JSON_PLAN_FILE}
  artifacts:
    reports:
      terraform: ${TERRAFORM_DIRECTORY}/${JSON_PLAN_FILE}

review_plan:
  extends: .terraform-plan-generation
  variables:
    TERRAFORM_DIRECTORY: "review/"
  # Review will not include an artifact name

staging_plan:
  extends: .terraform-plan-generation
  variables:
    TERRAFORM_DIRECTORY: "staging/"
  artifacts:
    name: Staging

production_plan:
  extends: .terraform-plan-generation
  variables:
    TERRAFORM_DIRECTORY: "production/"
  artifacts:
    name: Production