Default CI templates

This repo contains a series of templates that is used inside the CI/CD pipeline of Jobtome.

The syntax here is valid for a Gitlab CI setup. Our current version of Gitlab is 14.0.0

At Jobtome, we use GCP as our Cloud provider, hence you can imagine a lot of pipelines are related/applicable to GCP. Also, we use three main regions for our services, so you will see a lot of references about that distinction.

We manage our GCP infrastructure through Terraform, thus you can find also terraform-related pipeline files. Have a look at our tf GCP modules, too, if you also manage GCP through Terraform!

Pipeline order and workflow

With Kubernetes:

lint -> build -> test -> push -> manifest -> deploy -> rollback -> notify

With Helm:

lint -> build -> test -> push -> deploy -> verify -> notify

Our workflow:

A commit on master goes to quality
A tag on master promotes to production

Folder structure

For kubernetes regional projects:

my-project
|_ src
|_ kube
   |_production
      \_hpa.yaml
   |_quality
      \_hpa.yaml
  \_deployment.yaml
  \_other-files-common-to-prod-and-qa.yaml
.gitlab.ci.yml
...other files

For kubernetes multiregional projects:

my-project
|_ src
|_ kube
   |_production
     |_production_asia
        \_hpa.yaml
     |_production_america
        \_hpa.yaml
     |_production_europe
        \_hpa.yaml
   |_quality
      \_hpa.yaml
  \_deployment.yaml
  \_other-files-common-to-prod-and-qa.yaml
.gitlab.ci.yml
...other files

For terraform projects:

my-project
|_ platform
  \_main.tf
  \_output.tf
  ...
.gitlab.ci.yml
...

Underlying versions

Docker:

20.10 for tags > v3.x.x;
19.03 for tags <= v2.39.x

Terraform:

1 for tags > v2.39.x;
0.12.29 for tags <= v2.38.x

Index of how-tos

According to the operation / the type of pipeline you have to perform, you can pick here different stages, and put the snippet as indicated in your .gitlab-ci.yml:

Linting
Tests
- Docker-compose tests
- API tests
Docker pipeline
- Build
- Test for image vulnerabilities
- Push to registry
Kubernetes deployment
Helm deployment
Helm chart publishing
SSH command
Publishing on calendar
Google bucket upload
Serverless functions deployment
Google endpoint
Google cloud run
- Quality pipeline
- Production pipeline
Google dataflow
Terraform pipeline
Terraform security check
Notify sentry of release

Finally some advice on how to try the pipeline (for development).

How to use it

If you're an operations team, a devops, or if you know very well what you're doing, copy the relevant part from this readme to your .gitlab-ci.yml file. You can also override some operations by overriding the stages or the operation itself.

A note on gitlab-ci syntax:

include:
  - project: 'group/reponame'
    ref: v1.0.2
    file: 'test-unit.yml'

will import the code from another Gitlab project

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/test-unit.yml'

will import the code from an external repository; notice ref and filename are embedded into the URL.

Throughout the readme, the tag section will be a placeholder.

Linting

The stage lint will perform at least 2 checks:

lint:docker (checks the Dockerfile(s) against good practices)
lint:yaml (checks the yaml format of the manifests against good practices)

Additionally it will perform the linting of the selected languages. All is needed to do is to specify the file to import as lint-go.yml or lint-php.yml.

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/lint-go.yml'

stages:
  - lint

variables:
  # optional, used by docker-lint
  IGNORE_DOCKER_LINT: "DL3012"

  # optional, used to enable reviewdog
  ENABLE_REVIEWDOG: 1
  REVIEWDOG_GITLAB_API_TOKEN: <personal gitlab token used to call v4 api endpoints>
  REVIEWDOG_LEVEL: warning # optional, values: info, warning, error

The Review Dog feature provides a way to post review comments automatically by integrating with any linter tools with ease. It uses an output of lint tools and posts them as a comment if findings are in diff of patches to review.

The default skipped test for lint-docker is Provide an email address or URL as maintainer. See skippable tests here.

If one wants to check the kube manifests (through lint and security practices), then the import becomes test-kubernetes-score.yaml, and it will perform the following:

lint:kubernetes (checks the object's manifests against their schema)
test:kubernetes-score (checks the manifests against good practices)

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/test-kubernetes-score.yml'

stages:
  - lint

variables:
  #optional, used by kube-score
  IGNORE_TESTS: "container-security-context pod-networkpolicy label-values"

Notice by default three kube-score tests are excluded (the ones indicated above). If you want to run it 'strict', do declare IGNORE_TESTS as empty string; otherwise you can avoid declaring it.

See here for skippable tests.

NB: The test label_values needs to be skipped because of the values ${CI_COMMIT_TAG} (which will be replaced by envsubst later in the pipeline) causing validation fail.

Linting shell files

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/lint-shell.yml'

stages:
  - lint

variables:
  # optional, used to enable reviewdog
  ENABLE_REVIEWDOG: 1
  REVIEWDOG_GITLAB_API_TOKEN: <personal gitlab token used to call v4 api endpoints>
  REVIEWDOG_LEVEL: warning # optional, values: info, warning, error

Linting python files

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/lint-python.yml'

stages:
  - lint

variables:
  IGNORE_PYTHON_LINT: "E10,D11,I12" #@see https://flake8.pycqa.org/en/latest/user/violations.html

The docker image allows use with reviewdog, like above, but the code has not been added yet. Contributions are welcome

Unit test stage

include:
  remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/test-unit.yml'

stages:
  - test

variables:
  TEST_CONTAINER_NAME: "app" #Default value
  COMPOSER_FILE_NAME: "docker-compose.test.yml" #Default value

This assumes testing to be done on the containerised application. This will spin up a docker-compose.test.yml and check the exit code of the container app. If the file is not named docker-compose.test.yml, or the test container is not named app, the variables are there to correct the names.

API test stage

include:
  remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/test-api.yml'

stages:
  - test

variables:
  TEST_FOLDER: "tests" #Default value
  THREADS: "3" #Default value

This will run all the test definitions defined with BDD-syntax into karate

Docker pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/docker.yml'

stages:
  - build
  - test
  - push

variables:
  IMAGES: "app nginx"
  STAGES: "build assets"
  DOCKERFILES_DIR: "docker"
  SKIP_DOCKER_CACHE: "false"
  DOCKER_NAME_CONTAINS_BRANCH: "true" #optional

All stages in Docker file should be named (e.g. AS buildes, AS prod...). These need to be added to STAGES variable. IMAGES variable defines the images that will be built, just delete the variable if a single image will be created. In this case the image will be named as CI_REGISTRY_IMAGE, othewise CI_REGISTRY_IMAGE will be a folder containing IMAGES. DOCKERFILES_DIR is used to specify a different folder containing Dockerfiles instead of the default root directory.

This will spawn a job build and a job build:cache. NOTE: The cache created at pipeline N is used for the pipeline N+1

By enabling the flag DOCKER_NAME_CONTAINS_BRANCH, every branch built (so, by default, a branch which is undergoing MR) will have its own registry image in the following format: registry.example.com/repo-path/repo-name/branch:tag or registry.example.com/repo-path/repo-name/branch/image:tag (master branch is excluded from this). This is opposed to the 'usual' registry.example.com/repo-path/repo-name:tag or registry.example.com/repo-path/repo-name/image:tag (where classically, image:={app|nginx})

NB: when using this flag, remember that the gitlab's registry cleanup policy happens per-directory and not globally inside a project's registry.

Alternative multi-stage build / caching

.docker:build:multi template allows building a particular stage of a multi-stage Dockerfile with an optional cache facility. Unlike the other pipeline template, this cache is used within the same pipeline

One can add the following to the .gitlab-ci:

stages:
  ...
  - build-cache # new!
  - build
  ...


# this step should be run before running any other steps so that it results in a cached image that can be re-used in the next build stage
build-cache:
  extends: .docker:build:multi
  stage: build-cache
  variables:
    # target stage name
    BUILD_TARGET: base
    # tag suffix to produce
    IMAGE_TAG_SUFFIX: base

build-prod:
  extends: .docker:build:multi
  stage: build
  variables:
    # defines the suffix of the cache image
    CACHE_FROM: base
    BUILD_TARGET: prod
    # note, no IMAGE_TAG_SUFFIX defined - this will be the main image in the repo

build-debug:
  extends: .docker:build:multi
  stage: build
  variables:
    CACHE_FROM: base
    BUILD_TARGET: debug
    IMAGE_TAG_SUFFIX: debug

build-nginx:
  extends: .docker:build:multi
  stage: build
  variables:
    # note, no CACHE_FROM defined - this will be built without cache
    BUILD_TARGET: nginx
    IMAGE_TAG_SUFFIX: nginx

In natural language: there's a pipeline stage build-cache where the docker stage is built, and the following build pipeline stage has 3 jobs using the pre-built docker stage.

.docker:build:multi:
  extends: .docker
  stage: build
  #variables:
    #### Supported vars
    #CACHE_FROM: base
    #IMAGE_TAG_SUFFIX: debug
    #BUILD_TARGET: prod

NOTE: this job assumes that the Dockerfile is ONE, and in the root of the project.

This job does not override the jobs described above: to remove jobs build and build:cache, add to the .gitlab.ci.yml an override to never run them.

Additionally, this job by default creates a docker image for every branch (see end of previous section)

Kubernetes quality pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/kubernetes-quality.yml'

stages:
  - build
  - push
  - manifest
  - deploy
  - rollback

variables:
  IMAGES: "app nginx"
  ROLLOUT_RESOURCES: "deployment/app deployment/worker"

  # QUALITY VARIABLES
  GOOGLE_KEY_QUALITY: <google json key>
  NAMESPACE_QUALITY: "my-namespace"
  CLUSTER_NAME_QUALITY: quality
  CLUSTER_ZONE_QUALITY: europe-west6-a
  SECRET_YAML_QUALITY: <secret base64 encoded>
  DOMAIN_QUALITY: quality.example.com

Kubernetes regional pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/kubernetes-regional.yml'

stages:
  - build
  - push
  - manifest
  - deploy
  - rollback

variables:
  IMAGES: "app nginx"
  ROLLOUT_RESOURCES: "deployment/app"

  # QUALITY VARIABLES
  GOOGLE_KEY_QUALITY: <google json key>
  NAMESPACE_QUALITY: "my-namespace"
  CLUSTER_NAME_QUALITY: quality
  CLUSTER_ZONE_QUALITY: europe-west6-a
  SECRET_YAML_QUALITY: <secret base64 encoded>
  DOMAIN_QUALITY: quality.example.com

  # PRODUCTION VARIABLES
  GOOGLE_KEY_PRODUCTION: <google json key>
  NAMESPACE_PRODUCTION: "my-namespace"
  CLUSTER_NAME_PRODUCTION: production-europe-west1
  CLUSTER_ZONE_PRODUCTION: europe-west1-b
  SECRET_YAML_PRODUCTION: <secret base64 encoded>
  DOMAIN_PRODUCTION: production.example.com

Kubernetes multiregion pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/kubernetes-multiregion.yml'

stages:
  - build
  - push
  - manifest
  - deploy
  - rollback

variables:
  IMAGES: "app nginx"
  ROLLOUT_RESOURCES: "deployment/app"

  # QUALITY VARIABLES
  GOOGLE_KEY_QUALITY: <google json key>
  NAMESPACE_QUALITY: "my-namespace"
  CLUSTER_NAME_QUALITY: quality
  CLUSTER_ZONE_QUALITY: europe-west6-a
  SECRET_YAML_QUALITY: <secret base64 encoded>
  DOMAIN_QUALITY: quality.example.com

  # PRODUCTION EUROPE VARIABLES
  GOOGLE_KEY_PRODUCTION_EUROPE: <google json key>
  NAMESPACE_PRODUCTION_EUROPE: "my-namespace"
  CLUSTER_NAME_PRODUCTION_EUROPE: production-europe-west1
  CLUSTER_ZONE_PRODUCTION_EUROPE: europe-west1-b
  SECRET_YAML_PRODUCTION_EUROPE: <secret base64 encoded>
  DOMAIN_PRODUCTION_EUROPE: eu.production.example.com

  # PRODUCTION AMERICA VARIABLES
  GOOGLE_KEY_PRODUCTION_AMERICA: <google json key>
  NAMESPACE_PRODUCTION_AMERICA: "my-namespace"
  CLUSTER_NAME_PRODUCTION_AMERICA: production-us-central1
  CLUSTER_ZONE_PRODUCTION_AMERICA: us-central1-a
  SECRET_YAML_PRODUCTION_AMERICA: <secret base64 encoded>
  DOMAIN_PRODUCTION_AMERICA: am.production.example.com

  # PRODUCTION ASIA VARIABLES
  GOOGLE_KEY_PRODUCTION_ASIA: <google json key>
  NAMESPACE_PRODUCTION_ASIA: "my-namespace"
  CLUSTER_NAME_PRODUCTION_ASIA: production-asia-east1
  CLUSTER_ZONE_PRODUCTION_ASIA: asia-east1-a
  SECRET_YAML_PRODUCTION_ASIA: <secret base64 encoded>
  DOMAIN_PRODUCTION_ASIA: as.production.example.com

Note on configmaps

In order to deploy configmaps at every run (not just after the manual stage of "manifest") one can use this code:

Remember to add among the variables: the BEFORE_CUSTOM_APPLY_FILE_PATH: "/tmp/before-manifest.yaml"
Use the following snippet for regional deployments

deploy:quality:image:
  before_script:
    - &deployconfig |
      # DEPLOY CONFIGMAP PHASE

      if [ -z "${ENVIRONMENT}" ]; then
        ENVIRONMENT=production
      fi

      if [ -z "${KUBERNETES_DIR}" ]; then
        KUBERNETES_DIR=kube
      fi

      envsubst < "${KUBERNETES_DIR}"/"${ENVIRONMENT}"/configmap.yaml >> "${BEFORE_CUSTOM_APPLY_FILE_PATH}"

deploy:production:image:
  before_script:
    - *deployconfig

If the deployment is not regional but multiregional, use this [NB there are more variables to add in this case, such as ENVIRONMENT_PATH_ASIA; ENVIRONMENT_PATH_EUROPE; ENVIRONMENT_PATH_AMERICA]:

deploy:quality:image:
  before_script:
    - &deployconfig |
      # DEPLOY CONFIGMAP PHASE

      if [ -z "${ENVIRONMENT}" ]; then
        ENVIRONMENT=production
      fi

      if [ "${ENVIRONMENT}" != "quality" ]; then
        if [ "${ENVIRONMENT_NAME}" == "production-asia" ]; then
          ENVIRONMENT="${ENVIRONMENT_PATH_ASIA}"
        fi
        if [ "${ENVIRONMENT_NAME}" == "production-europe" ]; then
          ENVIRONMENT="${ENVIRONMENT_PATH_EUROPE}"
        fi
        if [ "${ENVIRONMENT_NAME}" == "production-america" ]; then
          ENVIRONMENT="${ENVIRONMENT_PATH_AMERICA}"
        fi
      fi

      if [ -z "${KUBERNETES_DIR}" ]; then
        KUBERNETES_DIR=kube
      fi

      envsubst < "${KUBERNETES_DIR}"/"${ENVIRONMENT}"/configmap.yaml >> "${BEFORE_CUSTOM_APPLY_FILE_PATH}"

deploy:production:asia:image:
  before_script:
    - *deployconfig

deploy:production:america:image:
  before_script:
    - *deployconfig

deploy:production:europe:image:
  before_script:
    - *deployconfig

Note on secrets

As of version v2.29.1 of the pipelines, Mozilla SOPS has been introduced to take care of secrets inside of repositories (encrypted). On the human side, don't forget to put git hooks to avoid commit of plaintext secrets. On the tech side, in order to use this new feature (which is optional), one needs to add in the gitlab variables a SOPS_KEY (a json of a service account with Cloud KMS CryptoKey Decrypter permission on the key), and a SOPS_CONF (containing the .sops.yaml configuration).

Kubernetes run script quality

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/kubernetes-task-quality.yml'

stages:
  - deploy

variables:
  GOOGLE_PROJECT: my-project

  # QUALITY VARIABLES
  NAMESPACE_QUALITY: my-namespace
  GOOGLE_KEY_QUALITY: <google json key>
  CLUSTER_NAME_QUALITY: quality-europe-west1
  CLUSTER_ZONE_QUALITY: europe-west1-b
  KUBERNETES_SCRIPT_QUALITY: kupdate statefulset resource-name

If there is only one argument, then the resource type "deployment" is intended. Explicitly give a different resource type e.g. "statefulset" in other cases.

Kubernetes run script production

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/kubernetes-task-production.yml'

stages:
  - deploy

variables:
  GOOGLE_PROJECT: my-project

  # QUALITY VARIABLES
  NAMESPACE_QUALITY: my-namespace
  GOOGLE_KEY_QUALITY: <google json key>
  CLUSTER_NAME_QUALITY: quality-europe-west1
  CLUSTER_ZONE_QUALITY: europe-west1-b
  KUBERNETES_SCRIPT_QUALITY: kupdate statefulset resource-name

  # QUALITY VARIABLES
  NAMESPACE_QUALITY: my-namespace
  GOOGLE_KEY_PRODUCTION: <google json key>
  CLUSTER_NAME_PRODUCTION: production-europe-west1
  CLUSTER_ZONE_PRODUCTION: europe-west1-b
  KUBERNETES_SCRIPT_PRODUCTION: kupdate statefulset resource-name

If there is only one argument, then the resource type "deployment" is intended. Explicitly give a different resource type e.g. "statefulset" in other cases.

Helm deployment

Just like k8s, but with some additional variables

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/helm-{quality|regional|multiregion}.yml'

stages:
  - build
  - push
  - deploy
  - verify

variables:
  IMAGES: "app nginx"
  APP_NAME: "myapp"
  GOOGLE_PROJECT: "my-project"
  CHARTS_URL: "https://my-chart-bucket-name.cloudstorage.provider.com"
  CHART_NAME: "my-app-chart"
  CHART_VERSION: "1.2.3" #optional, defaults to latest in chart repo


  # QUALITY VARIABLES
  CLUSTER_NAME_QUALITY: quality
  CLUSTER_ZONE_QUALITY: europe-west1-b
  DOMAIN_QUALITY: quality.example.com
  NAMESPACE_QUALITY: "my-namespace"

  # if needed:
  # PRODUCTION EUROPE VARIABLES
  ...
  # PRODUCTION AMERICA VARIABLES
  ...
  # PRODUCTION ASIA VARIABLES
  ...

In addition to these features, starting from v2.29.3 you can enable review app on merge requests by including in the remotes:

  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/helm-branches.yaml'

and adding as the last stage - stop.

Doing so will create a new helm deployment in QA based on the commit slug when the branch name starts with "feat". Once you're done, the branch deployment will be automatically deleted. This requires also to set up a values.yaml in the helm/feature/ folder (you may juspy quality one as a starting point).

You need to place a helm/feature/values.yaml manifest to be used in helm deployment in feature branches. Initially you can copy/paste quality one, you can customize configmaps here to be review-app specific. You need to pay attention to the following keys:

backendconfig:
  enabled: false

frontendconfig:
  enabled: true

envFrom:
  - envType: secret
    envName: secret-environment
  - envType: configmap
    envName: ${APP_NAME}-environment

configmaps:
  - name: ${APP_NAME}-environment

Also remember to add the ingress definition in case the service is normally behind API gateway:

ingress:
  enabled: true  #NO string
  ignoreTest: false #optional, if false
  annotations:
    kubernetes.io/ingress.class: "gce"
    external-dns.alpha.kubernetes.io/hostname: "${DOMAIN}"
    external-dns.alpha.kubernetes.io/ttl: "200"
    cert-manager.io/cluster-issuer: "production"
    acme.cert-manager.io/http01-edit-in-place: "true"
  # hosts:
  #   - host: chart-example.local
  #     paths: []
  tls:
  - secretName: "${APP_NAME}-tls"
    hosts:
      - "${DOMAIN}"

This feature can clone DBs (only MySQL at the moment) provided that:

You provide DB_USERNAME, DB_PASSWORDd DB_HOSTd DB_NAME or DATABASE_URL (in the format mysql://user:pass@dbhost/dbname) inside the proper GITLAB CI/CD SECRET or SOPS secret
The quality database user has CRUD and CREATE/DROP permissions

You can also create a feature branch specific secret as a Gitlab CI/CD variable called SECRET_YAML_FEATURE, or an even more specific secret defined in gitlab-ci.yml as SECRET_BRANCH=whateverspecificsecretyouwant. Just please, use a a different "name:" for the configmap and the secrets, in order to avoid overwriting quality ones when appropriate.

Branch domain and app name can be overriden in gitlab-ci.yml using these variables:

DOMAIN_BRANCH: "mydomain.tld" APP_NAME_BRANCH: "myapp"

Helm chart publishing

This is for a repository which holds a Helm chart. It is triggered at every tag.

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/helm-publish.yml'

stages:
  - push

variables:
  GOOGLE_PROJECT: "my-project"
  BUCKET_NAME: "my-charts"
  BUCKET_HEADERS: "Cache-Control:no-cache, max-age=0"
  BUCKET_PATH: ""

SSH command

This is for a repository which need to deploy through ssh.

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/ssh-production.yml'

stages:
  - deploy

variables:
  SSH_PRIVATE_KEY_QUALITY: <ssh key base64 encoded>
  SSH_USER_QUALITY: admin
  SSH_HOST_QUALITY: quality.example.com
  SSH_COMMAND_QUALITY: ansible-playbook -i quality  app.yml'
  SSH_KNOWN_HOSTS_QUALITY: <known hosts file base64 encoded>
  DOMAIN_QUALITY: quality.example.com

  SSH_PRIVATE_KEY_PRODUCTION: <ssh key base64 encoded>
  SSH_USER_PRODUCTION: admin
  SSH_HOST_PRODUCTION: production.example.com
  SSH_COMMAND_PRODUCTION: ansible-playbook -i production app.yml'
  SSH_KNOWN_HOSTS_PRODUCTION: <known hosts file base64 encoded>
  DOMAIN_PRODUCTION: production.example.com

Publish to Google Calendar and Slack

We have an internal calendar where we track deployments (and maintenances and incidents through another tool). At the end of the pipeline, this stage is triggered only on success.

We use a 3rd-party tool called GAM for this.

For slack, we use a simple webhook.

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/notify.yml'

stages:
  - notify

variables:
  GOOGLE_CALENDAR_ID: <calendar ID>
  OAUTH2SERVICE: <see gam help>
  OAUTH2TXT: <see gam help>
  CLIENTSECRETS: <see gam help>
  SLACK_WEBHOOK_URL: <url>

Optional customisations:

SLACK_USERNAME
SLACK_NOTIFICATION_FOOTER
SLACK_NOTIFICATION_ICON
SLACK_ICON

Deploy to Google Storage

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/bucket-production.yml'

stages:
  - deploy

variables:
  GOOGLE_PROJECT: my-project
  SYNC_MODE: copy
  DIR_TO_SYNC: public
  BUCKET_PATH: data
  GOOGLE_KEY_QUALITY: <google json key>
  GOOGLE_KEY_PRODUCTION: <google json key>
  BUCKET_NAME_QUALITY: test.website.com
  BUCKET_NAME_PRODUCTION: website.com
  BUCKET_HEADERS_QUALITY: "Cache-Control:no-cache,max-age=0"
  BUCKET_HEADERS_PRODUCTION: "Cache-Control:public,max-age=3600"

If unset, GOOGLE_PROJECT defaults to my-project

If unset, SYNC_MODE defaults to rsync

If unset, DIR_TO_SYNC defaults to .

If unset, BUCKET_PATH defaults to data

NOTE: if you set "BUCKET_PATH" variable to '' and the "SYNC_MODE" variable is set to rsync you'll lose all bucket data

Google function quality pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/serverless-quality.yml'

stages:
  - deploy

variables:
  RUNTIME: go111
  TRIGGER_HTTP: 1
  TIMEOUT: 30
  ENTRYPOINT: main
  EXTRA_FLAGS: "--vpc-connector serverless" # In case there are specific flags/features to use

  # QUALITY VARIABLES
  SERVICE_ACCOUNT_QUALITY: default
  FUNCTION_NAME_QUALITY: my-function
  GOOGLE_KEY_QUALITY: <google json key>
  REGION_QUALITY: europe-west1
  TRIGGER_TOPIC_QUALITY: topic-qa
  DOMAIN_QUALITY: https://us-central1.cloudfunctions.net/http_function
  SECRET_YAML_QUALITY: <secret base64 encoded>
  SECRET_ENV_LIST_QUALITY: "SUPERSECRET=env"

Google function regional pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/serverless-regional.yml'

stages:
  - deploy

variables:
  RUNTIME: go111
  TRIGGER_HTTP: 1
  TIMEOUT: 30
  ENTRYPOINT: main
  EXTRA_FLAGS: "--vpc-connector serverless" # In case there are specific flags/features to use

  # QUALITY VARIABLES
  SERVICE_ACCOUNT_QUALITY: default
  FUNCTION_NAME_QUALITY: my-function
  GOOGLE_KEY_QUALITY: <google json key>
  REGION_QUALITY: europe-west1
  TRIGGER_TOPIC_QUALITY: topic-qa
  DOMAIN_QUALITY: https://us-central1.cloudfunctions.net/http_function
  SECRET_YAML_QUALITY: <secret base64 encoded>
  SECRET_ENV_LIST_QUALITY: "SUPERSECRET=env"

  # PRODUCTION VARIABLES
  SERVICE_ACCOUNT_PRODUCTION: default
  FUNCTION_NAME_PRODUCTION: my-function
  REGION_PRODUCTION: europe-west1
  TRIGGER_TOPIC_PRODUCTION: topic
  GOOGLE_KEY_PRODUCTION: <google json key>
  DOMAIN_PRODUCTION: https://us-central1.cloudfunctions.net/http_function
  SECRET_YAML_PRODUCTION: <secret base64 encoded>
  SECRET_ENV_LIST_PRODUCTION: "SUPERSECRET=env"

Google function multiregion pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/serverless-multiregional.yml'

stages:
  - deploy

variables:
  RUNTIME: go111
  TRIGGER_HTTP: 1
  TIMEOUT: 30
  ENTRYPOINT: main
  EXTRA_FLAGS: "--vpc-connector serverless" # In case there are specific flags/features to use

  # QUALITY VARIABLES
  SERVICE_ACCOUNT_QUALITY: default
  FUNCTION_NAME_QUALITY: my-function
  GOOGLE_KEY_QUALITY: <google json key>
  REGION_QUALITY: europe-west1
  TRIGGER_TOPIC_QUALITY: topic-qa
  DOMAIN_QUALITY: https://us-central1.cloudfunctions.net/http_function
  SECRET_YAML_QUALITY: <secret base64 encoded>
  SECRET_ENV_LIST_QUALITY: "SUPERSECRET=env"

  # PRODUCTION EUROPE VARIABLES
  SERVICE_ACCOUNT_PRODUCTION_EUROPE: default
  FUNCTION_NAME_PRODUCTION_EUROPE: my-function
  GOOGLE_KEY_PRODUCTION_EUROPE: <google json key>
  REGION_PRODUCTION_EUROPE: europe-west1
  TRIGGER_TOPIC_PRODUCTION_EUROPE: topic-eu
  DOMAIN_PRODUCTION_EUROPE: https://europe-west1.cloudfunctions.net/http_function
  SECRET_YAML_PRODUCTION_EUROPE: <secret base64 encoded>
  SECRET_ENV_LIST_PRODUCTION_EUROPE: "SUPERSECRET=env"

  # PRODUCTION AMERICA VARIABLES
  SERVICE_ACCOUNT_PRODUCTION_AMERICA: default
  FUNCTION_NAME_PRODUCTION_AMERICA: my-function
  GOOGLE_KEY_PRODUCTION_AMERICA: <google json key>
  REGION_PRODUCTION_AMERICA: us-central1
  TRIGGER_TOPIC_PRODUCTION_AMERICA: topic-am
  DOMAIN_PRODUCTION_AMERICA: https://us-central1.cloudfunctions.net/http_function
  SECRET_YAML_PRODUCTION_AMERICA: <secret base64 encoded>
  SECRET_ENV_LIST_PRODUCTION_AMERICA: "SUPERSECRET=env"

  # PRODUCTION ASIA VARIABLES
  SERVICE_ACCOUNT_PRODUCTION_ASIA: default
  FUNCTION_NAME_PRODUCTION_ASIA: my-function
  GOOGLE_KEY_PRODUCTION_ASIA: <google json key>
  REGION_PRODUCTION_ASIA: asia-east2
  TRIGGER_TOPIC_PRODUCTION_ASIA: topic-as
  DOMAIN_PRODUCTION_ASIA: https://asia-east2.cloudfunctions.net/http_function
  SECRET_YAML_PRODUCTION_ASIA: <secret base64 encoded>
  SECRET_ENV_LIST_PRODUCTION_ASIA: "SUPERSECRET=env"

Google endpoint

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/endpoint.yml'

stages:
  - test
  - deploy

variables:
  ENDPOINT_FILE: endpoint.yaml
  GOOGLE_KEY: <google json key>

Google Cloud Run Quality

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/cloudrun-quality.yml'

stages:
  - deploy

variables:
  GOOGLE_KEY_QUALITY: <google json key>
  GOOGLE_PROJECT: my-project
  CLUSTER_NAME_QUALITY: "quality"
  CLUSTER_ZONE_QUALITY: "europe-west1-b"
  NAMESPACE: my-k8s-namespace-where-cloudrun-is
  SERVICE_NAME: awesome-service
  CONNECTIVITY: "external"
  TIMEOUT: "60s"
  CONCURRENCY: "80"
  CPU: "1000m"
  MEMORY: "128M"
  MAX_INSTANCES: "3"
  ENV_QUALITY: "KEY1=value1,KEY2=value2"
  SECRET_YAML_QUALITY: <some b64 of a secret called myapp-serviceaccounts>
  SECRET_MOUNTS: "/secrets=myapp-serviceaccounts"
  CONFIGMAP_PATH_QUALITY: <a path in this repo containing the definition of a configmap called myapp-configmap>
  CONFIGMAP_MOUNTS: "/configs=myapp-configmap"

Read more detail about how to mount secrets/configmaps here

Google Cloud Run Production

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/cloudrun-production.yml'

stages:
  - deploy

variables:
  GOOGLE_KEY_QUALITY: <google json key>
  GOOGLE_KEY_PRODUCTION: <google json key>
  GOOGLE_PROJECT: my-project
  CLUSTER_NAME_QUALITY: "quality"
  CLUSTER_ZONE_QUALITY: "europe-west1-b"
  CLUSTER_NAME_PRODUCTION: "production"
  CLUSTER_ZONE_PRODUCTION: "europe-west1-b"
  NAMESPACE: my-k8s-namespace-where-cloudrun-is
  SERVICE_NAME: awesome-service
  CONNECTIVITY: "external"
  TIMEOUT: "60s"
  CONCURRENCY: "80"
  CPU: "1000m"
  MEMORY: "128M"
  MAX_INSTANCES: "3"
  ENV_QUALITY: "KEY1=value1,KEY2=value2"
  ENV_PRODUCTION: "KEY1=valueProd1,KEY2=valueProd2"
  SECRET_YAML_QUALITY: <some b64 of a secret called myapp-serviceaccounts>
  SECRET_YAML_PRODUCTION: <some b64 of a secret called myapp-serviceaccounts>
  SECRET_MOUNTS: "/secrets=myapp-serviceaccounts"
  CONFIGMAP_PATH_QUALITY: <a path in this repo containing the definition of a configmap called myapp-configmap>
  CONFIGMAP_PATH_PRODUCTION: <a path in this repo containing the definition of a configmap called myapp-configmap>
  CONFIGMAP_MOUNTS: "/configs=myapp-configmap"

Read more detail about how to mount secrets/configmaps here

Google Dataflow

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/dataflow-production.yml'

stages:
  - deploy

variables:
  GOOGLE_PROJECT: my-project

  GOOGLE_KEY_QUALITY: <google json key>
  TEMPLATE_NAME_QUALITY: my-template
  STAGING_LOCATION_QUALITY: gs://bucket
  TEMPORARY_LOCATION_QUALITY: gs://bucket
  TEMPLATE_LOCATION_QUALITY: gs://bucket
  EXTRA_ARGUMENTS_QUALITY: "--args1=value1 --args2=value2"

  GOOGLE_KEY_PRODUCTION: <google json key>
  TEMPLATE_NAME_PRODUCTION: my-template
  STAGING_LOCATION_PRODUCTION: gs://bucket
  TEMPORARY_LOCATION_PRODUCTION: gs://bucket
  TEMPLATE_LOCATION_PRODUCTION: gs://bucket
  EXTRA_ARGUMENTS_PRODUCTION: "--args1=value1 --args2=value2"

Terraform pipeline

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/terraform.yml'

cache:
  paths:
    - "${TF_FOLDER_PATH}/.terraform"

variables:
  TF_FOLDER_PATH: platform

stages:
  - validate
  - test
  - build
  - deploy

Terraform security score

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/test-terraform-security.yml'

stages:
  - test

Bash script execution

It could be useful to have a script executed through a pipeline. This enables code reviews, programmatic execution (of the script, and of checks beforehands), and avoids 'works on my machine' cases. Our most prominent use-case is when we have to work on the terraform state.

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/shell-job.yml'

stages:
  - lint
  - deploy

NOTE:

the file does not need to be executable, the pipeline will do chmod +x
the script name to be launched (e.g. test-script.sh) MUST be passed as variable with name SCRIPT_NAME in the 'manual' deploy phase (see picture). If the script needs it, a variable ARGUMENTS can also be passed. The receiving script must know how to use them!

Notify sentry of release

include:
  - remote: 'https://raw.githubusercontent.com/jobtome-labs/ci-templates/<REF>/sentry.yml'

stages:
  - notify

variables:
  SENTRY_AUTH_TOKEN: my-sentry-user-token
  SENTRY_URL: my-sentry.example.net
  SENTRY_PROJECT: my-sentry-project
  SENTRY_ORG: my-sentry-org

This stage uses getsentry/sentry-cli:1.52.3, in order to announce a new release as per the docs.

General advices

To test stuff in local, try to follow this guide.

In short:

brew install gitlab-runner

Before running the following command, go to your project's settings -> CI/CD, select "runners" and get the info (URL and token) specified at "Set up a specific Runner manually"

gitlab-runner register -> follow the wizard, select docker as your preferred executor type. When asked for a default docker image, pick a random one because it doesn't matter which one.

Now you can go in a project folder on your laptop, and run

gitlab-runner exec docker JOBNAME

This command will look for the .gitlab-ci.yml file and look for the job with the specified name.

It is not possible to run a whole stage. Jobs must be specifed manually

As a consequence, the classic .gitlab-ci.yml file that imports from other yml files (the whole point of this repo) will not work

Notice there is also this guide who doesn't register the runner... ¯\_(ツ)_/¯

GeezerVison

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