kotovalexarian-likes-gitlab/gitlab-org--gitlab-foss

Nick Thomas ff31f4f922 Rename "Online terminal" to "Web terminal" in the docs

2016-12-20 11:05:39 +00:00

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Introduction to environments and deployments

Note: Introduced in GitLab 8.9.

During the development of software, there can be many stages until it's ready for public consumption. You sure want to first test your code and then deploy it in a testing or staging environment before you release it to the public. That way you can prevent bugs not only in your software, but in the deployment process as well.

GitLab CI is capable of not only testing or building your projects, but also deploying them in your infrastructure, with the added benefit of giving you a way to track your deployments. In other words, you can always know what is currently being deployed or has been deployed on your servers.

Overview

With environments, you can control the Continuous Deployment of your software all within GitLab. All you need to do is define them in your project's .gitlab-ci.yml as we will explore below. GitLab provides a full history of your deployments per every environment.

Environments are like tags for your CI jobs, describing where code gets deployed. Deployments are created when jobs deploy versions of code to environments, so every environment can have one or more deployments. GitLab keeps track of your deployments, so you always know what is currently being deployed on your servers. If you have a deployment service such as Kubernetes enabled for your project, you can use it to assist with your deployments, and can even access a web terminal for your environment from within GitLab!

To better understand how environments and deployments work, let's consider an example. We assume that you have already created a project in GitLab and set up a Runner. The example will cover the following:

We are developing an application
We want to run tests and build our app on all branches
Our default branch is master
We deploy the app only when a pipeline on master branch is run

Let's see how it all ties together.

Defining environments

Let's consider the following .gitlab-ci.yml example:

stages:
  - test
  - build
  - deploy

test:
  stage: test
  script: echo "Running tests"

build:
  stage: build
  script: echo "Building the app"

deploy_staging:
  stage: deploy
  script:
    - echo "Deploy to staging server"
  environment:
    name: staging
    url: https://staging.example.com
  only:
  - master

We have defined 3 stages:

test
build
deploy

The jobs assigned to these stages will run in this order. If a job fails, then the builds that are assigned to the next stage won't run, rendering the pipeline as failed. In our case, the test job will run first, then the build and lastly the deploy_staging. With this, we ensure that first the tests pass, then our app is able to be built successfully, and lastly we deploy to the staging server.

The environment keyword is just a hint for GitLab that this job actually deploys to this environment's name. It can also have a url which, as we will later see, is exposed in various places within GitLab. Each time a job that has an environment specified and succeeds, a deployment is recorded, remembering the Git SHA and environment name.

Note: Starting with GitLab 8.15, the environment name is exposed to the Runner in two forms: $CI_ENVIRONMENT_NAME, and $CI_ENVIRONMENT_SLUG. The first is the name given in .gitlab-ci.yml (with any variables expanded), while the second is a "cleaned-up" version of the name, suitable for use in URLs, DNS, etc.

To sum up, with the above .gitlab-ci.yml we have achieved that:

All branches will run the test and build jobs.
The deploy_staging job will run only on the master branch which means all merge requests that are created from branches don't get to deploy to the staging server
When a merge request is merged, all jobs will run and the deploy_staging in particular will deploy our code to a staging server while the deployment will be recorded in an environment named staging.

Let's now see how that information is exposed within GitLab.

Viewing the current status of an environment

The environment list under your project's Pipelines ➔ Environments, is where you can find information of the last deployment status of an environment.

Here's how the Environments page looks so far.

There's a bunch of information there, specifically you can see:

The environment's name with a link to its deployments
The last deployment ID number and who performed it
The build ID of the last deployment with its respective job name
The commit information of the last deployment such as who committed, to what branch and the Git SHA of the commit
The exact time the last deployment was performed
A button that takes you to the URL that you have defined under the environment keyword in .gitlab-ci.yml
A button that re-deploys the latest deployment, meaning it runs the job defined by the environment name for that specific commit

Notes:

While you can create environments manually in the web interface, we recommend that you define your environments in .gitlab-ci.yml first. They will be automatically created for you after the first deploy.
The environments page can only be viewed by Reporters and above. For more information on the permissions, see the permissions documentation.
Only deploys that happen after your .gitlab-ci.yml is properly configured will show up in the "Environment" and "Last deployment" lists.

The information shown in the Environments page is limited to the latest deployments, but as you may have guessed an environment can have multiple deployments.

Viewing the deployment history of an environment

GitLab keeps track of your deployments, so you always know what is currently being deployed on your servers. That way you can have the full history of your deployments per every environment right in your browser. Clicking on an environment will show the history of its deployments. Assuming you have deployed multiple times already, here's how a specific environment's page looks like.

We can see the same information as when in the Environments page, but this time all deployments are shown. As you may have noticed, apart from the Re-deploy button there are now Rollback buttons for each deployment. Let's see how that works.

Rolling back changes

You can't control everything, so sometimes things go wrong. When that unfortunate time comes GitLab has you covered. Simply by clicking the Rollback button that can be found in the deployments page (Pipelines ➔ Environments ➔ environment name) you can relaunch the job with the commit associated with it.

Note: Bear in mind that your mileage will vary and it's entirely up to how you define the deployment process in the job's script whether the rollback succeeds or not. GitLab CI is just following orders.

Thankfully that was the staging server that we had to rollback, and since we learn from our mistakes, we decided to not make the same again when we deploy to the production server. Enter manual actions for deployments.

Manually deploying to environments

Turning a job from running automatically to a manual action is as simple as adding when: manual to it. To expand on our previous example, let's add another job that this time deploys our app to a production server and is tracked by a production environment. The .gitlab-ci.yml looks like this so far:

stages:
  - test
  - build
  - deploy

test:
  stage: test
  script: echo "Running tests"

build:
  stage: build
  script: echo "Building the app"

deploy_staging:
  stage: deploy
  script:
    - echo "Deploy to staging server"
  environment:
    name: staging
    url: https://staging.example.com
  only:
  - master

deploy_prod:
  stage: deploy
  script:
    - echo "Deploy to production server"
  environment:
    name: production
    url: https://example.com
  when: manual
  only:
  - master

The when: manual action exposes a play button in GitLab's UI and the deploy_prod job will only be triggered if and when we click that play button. You can find it in the pipeline, build, environment, and deployment views.

Pipelines	Single pipeline	Environments	Deployments	Builds

Clicking on the play button in either of these places will trigger the deploy_prod job, and the deployment will be recorded under a new environment named production.

Note: Remember that if your environment's name is production (all lowercase), then it will get recorded in Cycle Analytics. Double the benefit!

Web terminals

Note: Web terminals were added in GitLab 8.15 and are only available to project masters and owners.

If you deploy to your environments with the help of a deployment service (e.g., the Kubernetes service), GitLab can open a terminal session to your environment! This is a very powerful feature that allows you to debug issues without leaving the comfort of your web browser. To enable it, just follow the instructions given in the service documentation.

Once enabled, your environments will gain a "terminal" button:

You can also access the terminal button from the page for a specific environment:

Wherever you find it, clicking the button will take you to a separate page to establish the terminal session:

This works just like any other terminal - you'll be in the container created by your deployment, so you can run shell commands and get responses in real time, check the logs, try out configuration or code tweaks, etc. You can open multiple terminals to the same environment - they each get their own shell session - and even a multiplexer like screen or tmux!

Note: Container-based deployments often lack basic tools (like an editor), and may be stopped or restarted at any time. If this happens, you will lose all your changes! Treat this as a debugging tool, not a comprehensive online IDE. You can use Koding for online development.

While this is fine for deploying to some stable environments like staging or production, what happens for branches? So far we haven't defined anything regarding deployments for branches other than master. Dynamic environments will help us achieve that.

Dynamic environments

As the name suggests, it is possible to create environments on the fly by just declaring their names dynamically in .gitlab-ci.yml. Dynamic environments is the basis of Review apps.

GitLab Runner exposes various environment variables when a job runs, and as such, you can use them as environment names. Let's add another job in our example which will deploy to all branches except master:

deploy_review:
  stage: deploy
  script:
    - echo "Deploy a review app"
  environment:
    name: review/$CI_BUILD_REF_NAME
    url: https://$CI_BUILD_REF_SLUG.review.example.com
  only:
    - branches
  except:
    - master

Let's break it down in pieces. The job's name is deploy_review and it runs on the deploy stage. The script at this point is fictional, you'd have to use your own based on your deployment. Then, we set the environment with the environment:name being review/$CI_BUILD_REF_NAME. Now that's an interesting one. Since the environment name can contain slashes (/), we can use this pattern to distinguish between dynamic environments and the regular ones.

So, the first part is review, followed by a / and then $CI_BUILD_REF_NAME which takes the value of the branch name. Since $CI_BUILD_REF_NAME itself may also contain /, or other characters that would be invalid in a domain name or URL, we use $CI_ENVIRONMENT_SLUG in the environment:url so that the environment can get a specific and distinct URL for each branch. In this case, given a $CI_BUILD_REF_NAME of 100-Do-The-Thing, the URL will be something like https://review-100-do-the-4f99a2.example.com. Again, the way you set up the web server to serve these requests is based on your setup.

You could also use $CI_BUILD_REF_SLUG in environment:url, e.g.: https://$CI_BUILD_REF_SLUG.review.example.com. We use $CI_ENVIRONMENT_SLUG here because it is guaranteed to be unique, but if you're using a workflow like GitLab Flow, collisions are very unlikely, and you may prefer environment names to be more closely based on the branch name - the example above would give you an URL like https://100-do-the-thing.review.example.com

Last but not least, we tell the job to run only on branches except master.

Note: You are not bound to use the same prefix or only slashes in the dynamic environments' names (/), but as we will see later, this will enable the grouping similar environments feature.

The whole .gitlab-ci.yml looks like this so far:

stages:
  - test
  - build
  - deploy

test:
  stage: test
  script: echo "Running tests"

build:
  stage: build
  script: echo "Building the app"

deploy_review:
  stage: deploy
  script:
    - echo "Deploy a review app"
  environment:
    name: review/$CI_BUILD_REF_NAME
    url: https://$CI_ENVIRONMENT_SLUG.example.com
  only:
    - branches
  except:
    - master

deploy_staging:
  stage: deploy
  script:
    - echo "Deploy to staging server"
  environment:
    name: staging
    url: https://staging.example.com
  only:
  - master

deploy_prod:
  stage: deploy
  script:
    - echo "Deploy to production server"
  environment:
    name: production
    url: https://example.com
  when: manual
  only:
  - master

A more realistic example would include copying files to a location where a webserver (NGINX) could then read and serve. The example below will copy the public directory to /srv/nginx/$CI_BUILD_REF_SLUG/public:

review_app:
  stage: deploy
  script:
    - rsync -av --delete public /srv/nginx/$CI_BUILD_REF_SLUG
  environment:
    name: review/$CI_BUILD_REF_NAME
    url: https://$CI_BUILD_REF_SLUG.example.com

It is assumed that the user has already setup NGINX and GitLab Runner in the server this job will run on.

Note: Be sure to check out the limitations section for some edge cases regarding naming of your branches and Review Apps.

The development workflow would now be:

Developer creates a branch locally
Developer makes changes, commits and pushes the branch to GitLab
Developer creates a merge request

Behind the scenes:

GitLab Runner picks up the changes and starts running the jobs
The jobs run sequentially as defined in stages
- First, the tests pass
- Then, the build begins and successfully also passes
- Lastly, the app is deployed to an environment with a name specific to the branch

So now, every branch gets its own environment and is deployed to its own place with the added benefit of having a history of deployments and also being able to rollback changes if needed. Let's briefly see where URL that's defined in the environments is exposed.

Making use of the environment URL

The environment URL is exposed in a few places within GitLab.

In a merge request widget as a link	In the Environments view as a button	In the Deployments view as a button

If a merge request is eventually merged to the default branch (in our case master) and that branch also deploys to an environment (in our case staging and/or production) you can see this information in the merge request itself.

We now have a full development cycle, where our app is tested, built, deployed as a Review app, deployed to a staging server once the merge request is merged, and finally manually deployed to the production server. What we just described is a single workflow, but imagine tens of developers working on a project at the same time. They each push to their branches, and dynamic environments are created all the time. In that case, we probably need to do some clean up. Read next how environments can be stopped.

Stopping an environment

By stopping an environment, you are effectively terminating its recording of the deployments that happen in it.

A branch is associated with an environment when the CI pipeline that is created for this branch, was recently deployed to this environment. You can think of the CI pipeline as the glue between the branch and the environment: branch ➔ CI pipeline ➔ environment.

There is a special case where environments can be manually stopped. That can happen if you provide another job for that matter. The syntax is a little tricky since a job calls another job to do the job.

Consider the following example where the deploy_review calls the stop_review to clean up and stop the environment:

deploy_review:
  stage: deploy
  script:
    - echo "Deploy a review app"
  environment:
    name: review/$CI_BUILD_REF_NAME
    url: https://$CI_ENVIRONMENT_SLUG.example.com
    on_stop: stop_review
  only:
    - branches
  except:
    - master

stop_review:
  variables:
    GIT_STRATEGY: none
  script:
    - echo "Remove review app"
  when: manual
  environment:
    name: review/$CI_BUILD_REF_NAME
    action: stop

Setting the GIT_STRATEGY to none is necessary on the stop_review job so that the GitLab Runner won't try to checkout the code after the branch is deleted.

Note: Starting with GitLab 8.14, dynamic environments will be stopped automatically when their associated branch is deleted.

When you have an environment that has a stop action defined (typically when the environment describes a review app), GitLab will automatically trigger a stop action when the associated branch is deleted.

You can read more in the .gitlab-ci.yml reference.

Grouping similar environments

Introduced in GitLab 8.14.

As we've seen in the dynamic environments, you can prepend their name with a word, then followed by a / and finally the branch name which is automatically defined by the CI_BUILD_REF_NAME variable.

In short, environments that are named like type/foo are presented under a group named type.

In our minimal example, we name the environments review/$CI_BUILD_REF_NAME where $CI_BUILD_REF_NAME is the branch name:

deploy_review:
  stage: deploy
  script:
    - echo "Deploy a review app"
  environment:
    name: review/$CI_BUILD_REF_NAME

In that case, if you visit the Environments page, and provided the branches exist, you should see something like:

Checkout deployments locally

Since 8.13, a reference in the git repository is saved for each deployment, so knowing the state of your current environments is only a git fetch away.

In your git config, append the [remote "<your-remote>"] block with an extra fetch line:

fetch = +refs/environments/*:refs/remotes/origin/environments/*

Limitations

You are limited to use only the CI predefined variables in the environment: name. If you try to re-use variables defined inside script as part of the environment name, it will not work.

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