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stage | group | info | type | disqus_identifier |
---|---|---|---|---|
Release | Release Management | 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 | reference | https://docs.gitlab.com/ee/ci/environments.html |
Environments and deployments
Introduced in GitLab 8.9.
Environments allow control of the continuous deployment of your software, all within GitLab.
Introduction
There are many stages required in the software development process before the software is ready for public consumption.
For example:
- Develop your code.
- Test your code.
- Deploy your code into a testing or staging environment before you release it to the public.
This helps find bugs in your software, and also in the deployment process as well.
GitLab CI/CD 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 will always know what is currently being deployed or has been deployed on your servers.
It's important to know that:
- 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:
- Provides a full history of your deployments for each environment.
- 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 associated with your project, you can use it to assist with your deployments, and can even access a web terminal for your environment from within GitLab!
Configuring environments
Configuring environments involves:
- Understanding how pipelines work.
- Defining environments in your project's
.gitlab-ci.yml
file. - Creating a job configured to deploy your application. For example, a deploy job configured with
environment
to deploy your application to a Kubernetes cluster.
The rest of this section illustrates how to configure environments and deployments using an example scenario. It assumes you have already:
In the scenario:
- 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.
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 three stages:
test
build
deploy
The jobs assigned to these stages will run in this order. If any job fails, then the pipeline fails and jobs that are assigned to the next stage won't run.
In our case:
- The
test
job will run first. - Then the
build
job. - Lastly the
deploy_staging
job.
With this configuration, we:
- Check that the tests pass.
- Ensure that our app is able to be built successfully.
- Lastly we deploy to the staging server.
NOTE: Note:
The environment
keyword defines where the app is deployed.
The environment name
and url
is exposed in various places
within GitLab. Each time a job that has an environment specified
succeeds, a deployment is recorded, along with the Git SHA, and environment name.
CAUTION: Caution:
Some characters are not allowed in environment names. Use only letters,
numbers, spaces, and -
, _
, /
, {
, }
, or .
. Also, it must not start nor end with /
.
In summary, with the above .gitlab-ci.yml
we have achieved the following:
- All branches will run the
test
andbuild
jobs. - The
deploy_staging
job will run only on themaster
branch, which means all merge requests that are created from branches don't get deployed to the staging server. - When a merge request is merged, all jobs will run and the
deploy_staging
job will deploy our code to a staging server while the deployment will be recorded in an environment namedstaging
.
Environment variables and runners
Starting with GitLab 8.15, the environment name is exposed to the runner in two forms:
$CI_ENVIRONMENT_NAME
. The name given in.gitlab-ci.yml
(with any variables expanded).$CI_ENVIRONMENT_SLUG
. A "cleaned-up" version of the name, suitable for use in URLs, DNS, etc.
If you change the name of an existing environment, the:
$CI_ENVIRONMENT_NAME
variable will be updated with the new environment name.$CI_ENVIRONMENT_SLUG
variable will remain unchanged to prevent unintended side effects.
Starting with GitLab 9.3, the environment URL is exposed to the runner via
$CI_ENVIRONMENT_URL
. The URL is expanded from either:
.gitlab-ci.yml
.- The external URL from the environment if not defined in
.gitlab-ci.yml
.
Set dynamic environment URLs after a job finishes
Introduced in GitLab 12.9.
In a job script, you can specify a static environment URL.
However, there may be times when you want a dynamic URL. For example,
if you deploy a Review App to an external hosting
service that generates a random URL per deployment, like https://94dd65b.amazonaws.com/qa-lambda-1234567
,
you don't know the URL before the deployment script finishes.
If you want to use the environment URL in GitLab, you would have to update it manually.
To address this problem, you can configure a deployment job to report back a set of
variables, including the URL that was dynamically-generated by the external service.
GitLab supports the dotenv (.env
) file format,
and expands the environment:url
value with variables defined in the .env
file.
To use this feature, specify the
artifacts:reports:dotenv
keyword in .gitlab-ci.yml
.
For an overview, see Set dynamic URLs after a job finished.
Example of setting dynamic environment URLs
The following example shows a Review App that creates a new environment
per merge request. The review
job is triggered by every push, and
creates or updates an environment named review/your-branch-name
.
The environment URL is set to $DYNAMIC_ENVIRONMENT_URL
:
review:
script:
- DYNAMIC_ENVIRONMENT_URL=$(deploy-script) # In script, get the environment URL.
- echo "DYNAMIC_ENVIRONMENT_URL=$DYNAMIC_ENVIRONMENT_URL" >> deploy.env # Add the value to a dotenv file.
artifacts:
reports:
dotenv: deploy.env # Report back dotenv file to rails.
environment:
name: review/$CI_COMMIT_REF_SLUG
url: $DYNAMIC_ENVIRONMENT_URL # and set the variable produced in script to `environment:url`
on_stop: stop_review
stop_review:
script:
- ./teardown-environment
when: manual
environment:
name: review/$CI_COMMIT_REF_SLUG
action: stop
As soon as the review
job finishes, GitLab updates the review/your-branch-name
environment's URL.
It parses the deploy.env
report artifact, registers a list of variables as runtime-created,
uses it for expanding environment:url: $DYNAMIC_ENVIRONMENT_URL
and sets it to the environment URL.
You can also specify a static part of the URL at environment:url:
, such as
https://$DYNAMIC_ENVIRONMENT_URL
. If the value of DYNAMIC_ENVIRONMENT_URL
is
example.com
, the final result will be https://example.com
.
The assigned URL for the review/your-branch-name
environment is visible in the UI.
Notes:
stop_review
doesn't generate a dotenv report artifact, so it won't recognize theDYNAMIC_ENVIRONMENT_URL
variable. Therefore you should not setenvironment:url:
in thestop_review
job.- If the environment URL is not valid (for example, the URL is malformed), the system doesn't update the environment URL.
Configuring manual deployments
Adding when: manual
to an automatically executed job's configuration converts it to
a job requiring manual action.
To expand on the previous example, the following includes
another job that deploys our app to a production server and is
tracked by a production
environment.
The .gitlab-ci.yml
file for this is as follows:
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 for that job.
- Means the
deploy_prod
job will only be triggered when the "play" button is clicked.
You can find the "play" button in the pipelines, environments, deployments, and jobs views.
View | Screenshot |
---|---|
Pipelines | |
Single pipeline | |
Environments | |
Deployments | |
Jobs |
Clicking on the play button in any view will trigger the deploy_prod
job, and the
deployment will be recorded as a new environment named production
.
NOTE: Note:
If your environment's name is production
(all lowercase),
it will get recorded in Value Stream Analytics.
Configuring dynamic environments
Regular environments are good when deploying to "stable" environments like staging or production.
However, for environments for branches other than master
, dynamic environments
can be used. Dynamic environments make it possible to create environments on the fly by
declaring their names dynamically in .gitlab-ci.yml
.
Dynamic environments are a fundamental part of Review apps.
Allowed variables
The name
and url
parameters for dynamic environments can use most available CI/CD variables,
including:
However, you cannot use variables defined:
- Under
script
. - On the runner's side.
There are also other variables that are unsupported in the context of environment:name
.
For more information, see Where variables can be used.
Example configuration
Runners expose various environment variables when a job runs, so you can use them as environment names.
In the following example, the job will deploy to all branches except master
:
deploy_review:
stage: deploy
script:
- echo "Deploy a review app"
environment:
name: review/$CI_COMMIT_REF_NAME
url: https://$CI_ENVIRONMENT_SLUG.example.com
only:
- branches
except:
- master
In this example:
- The job's name is
deploy_review
and it runs on thedeploy
stage. - We set the
environment
with theenvironment:name
asreview/$CI_COMMIT_REF_NAME
. Since the environment name can contain slashes (/
), we can use this pattern to distinguish between dynamic and regular environments. - We tell the job to run
only
on branches,except
master
.
For the value of:
-
environment:name
, the first part isreview
, followed by a/
and then$CI_COMMIT_REF_NAME
, which receives the value of the branch name. -
environment:url
, we want a specific and distinct URL for each branch.$CI_COMMIT_REF_NAME
may contain a/
or other characters that would be invalid in a domain name or URL, so we use$CI_ENVIRONMENT_SLUG
to guarantee that we get a valid URL.For example, given a
$CI_COMMIT_REF_NAME
of100-Do-The-Thing
, the URL will be something likehttps://100-do-the-4f99a2.example.com
. Again, the way you set up the web server to serve these requests is based on your setup.We have used
$CI_ENVIRONMENT_SLUG
here because it is guaranteed to be unique. If you're using a workflow like GitLab Flow, collisions are unlikely and you may prefer environment names to be more closely based on the branch name. In that case, you could use$CI_COMMIT_REF_NAME
inenvironment:url
in the example above:https://$CI_COMMIT_REF_NAME.example.com
, which would give a URL ofhttps://100-do-the-thing.example.com
.
NOTE: Note:
You are not required to use the same prefix or only slashes (/
) in the dynamic environments'
names. However, using this format will enable the grouping similar environments
feature.
Configuring Kubernetes deployments
Introduced in GitLab 12.6.
If you are deploying to a Kubernetes cluster
associated with your project, you can configure these deployments from your
gitlab-ci.yml
file.
The following configuration options are supported:
In the following example, the job will deploy your application to the
production
Kubernetes namespace.
deploy:
stage: deploy
script:
- echo "Deploy to production server"
environment:
name: production
url: https://example.com
kubernetes:
namespace: production
only:
- master
When deploying to a Kubernetes cluster using GitLab's Kubernetes integration, information about the cluster and namespace will be displayed above the job trace on the deployment job page:
NOTE: Note: Kubernetes configuration is not supported for Kubernetes clusters that are managed by GitLab. To follow progress on support for GitLab-managed clusters, see the relevant issue.
Configuring incremental rollouts
Learn how to release production changes to only a portion of your Kubernetes pods with incremental rollouts.
Deployment safety
Deployment jobs can be more sensitive than other jobs in a pipeline, and might need to be treated with an extra care. There are multiple features in GitLab that helps maintain deployment security and stability.
- Restrict write-access to a critical environment
- Limit the job-concurrency for deployment jobs
- Skip outdated deployment jobs
- Prevent deployments during deploy freeze windows
Complete example
The configuration in this section provides a full development workflow where your app is:
- Tested.
- Built.
- Deployed as a Review App.
- Deployed to a staging server once the merge request is merged.
- Finally, able to be manually deployed to the production server.
The following combines the previous configuration examples, including:
- Defining simple environments for testing, building, and deployment to staging.
- Adding manual actions for deployment to production.
- Creating dynamic environments for deployments for reviewing.
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_COMMIT_REF_NAME
url: https://$CI_ENVIRONMENT_SLUG.example.com
only:
- branches
except:
- master
deploy_staging:
stage: deploy
script:
- echo "Deploy to staging server"
environment:
name: staging
url: https://staging.example.com
only:
- master
deploy_prod:
stage: deploy
script:
- echo "Deploy to production server"
environment:
name: production
url: https://example.com
when: manual
only:
- master
A more realistic example would also include copying files to a location where a webserver (for example, NGINX) could then access and serve them.
The example below will copy the public
directory to /srv/nginx/$CI_COMMIT_REF_SLUG/public
:
review_app:
stage: deploy
script:
- rsync -av --delete public /srv/nginx/$CI_COMMIT_REF_SLUG
environment:
name: review/$CI_COMMIT_REF_NAME
url: https://$CI_COMMIT_REF_SLUG.example.com
This example requires that NGINX and GitLab Runner are set up on the server this job will run on.
NOTE: Note: See the limitations section for some edge cases regarding the naming of your branches and Review Apps.
The complete example provides the following workflow to developers:
- Create a branch locally.
- Make changes and commit them.
- Push the branch to GitLab.
- Create a merge request.
Behind the scenes, the runner will:
- Pick up the changes and start running the jobs.
- Run the jobs sequentially as defined in
stages
:- First, run the tests.
- If the tests succeed, build the app.
- If the build succeeds, the app is deployed to an environment with a name specific to the branch.
So now, every branch:
- Gets its own environment.
- Is deployed to its own unique location, with the added benefit of:
- Having a history of deployments.
- Being able to rollback changes if needed.
For more information, see Using the environment URL.
Protected environments
Environments can be "protected", restricting access to them.
For more information, see Protected environments.
Working with environments
Once environments are configured, GitLab provides many features for working with them, as documented below.
Viewing environments and deployments
A list of environments and deployment statuses is available on each project's Operations > Environments page.
For example:
This example shows:
- The environment's name with a link to its deployments.
- The last deployment ID number and who performed it.
- The job ID of the last deployment with its respective job name.
- The commit information of the last deployment, such as who committed it, 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 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.
The information shown in the Environments page is limited to the latest deployments, but an environment can have multiple deployments.
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 users with Reporter permission and above. For more information on 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.
Viewing deployment history
GitLab keeps track of your deployments, so you:
- Always know what is currently being deployed on your servers.
- Can have the full history of your deployments for every environment.
Clicking on an environment shows the history of its deployments. Here's an example Environments page with multiple deployments:
This view is similar to the Environments page, but all deployments are shown. Also in this view is a Rollback button. For more information, see Retrying and rolling back.
Retrying and rolling back
If there is a problem with a deployment, you can retry it or roll it back.
To retry or rollback a deployment:
- Navigate to Operations > Environments.
- Click on the environment.
- In the deployment history list for the environment, click the:
- Retry button next to the last deployment, to retry that deployment.
- Rollback button next to a previously successful deployment, to roll back to that deployment.
What to expect with a rollback
Pressing the Rollback button on a specific commit will trigger a new deployment with its own unique job ID.
This means that you will see a new deployment that points to the commit you are rolling back to.
NOTE: Note:
The defined deployment process in the job's script
determines whether the rollback succeeds or not.
Using 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:
You can see this information in a merge request itself if:
- The merge request is eventually merged to the default branch (usually
master
). - That branch also deploys to an environment (for example,
staging
orproduction
).
For example:
Going from source files to public pages
With GitLab's Route Maps you can go directly from source files to public pages in the environment set for Review Apps.
Stopping an environment
Stopping an environment:
- Moves it from the list of Available environments to the list of Stopped environments on the Environments page.
- Executes an
on_stop
action, if defined.
This is often used when multiple developers are working on a project at the same time, each of them pushing to their own branches, causing many dynamic environments to be created.
NOTE: Note: Starting with GitLab 8.14, dynamic environments are stopped automatically when their associated branch is deleted.
Automatically stopping an environment
Environments can be stopped automatically using special configuration.
Consider the following example where the deploy_review
job calls stop_review
to clean up and stop the environment:
deploy_review:
stage: deploy
script:
- echo "Deploy a review app"
environment:
name: review/$CI_COMMIT_REF_NAME
url: https://$CI_ENVIRONMENT_SLUG.example.com
on_stop: stop_review
only:
- branches
except:
- master
stop_review:
stage: deploy
variables:
GIT_STRATEGY: none
script:
- echo "Remove review app"
when: manual
environment:
name: review/$CI_COMMIT_REF_NAME
action: stop
Setting the GIT_STRATEGY
to none
is necessary in the
stop_review
job so that the runner won't
try to check out the code after the 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. The stop_review
job must
be in the same stage
as the deploy_review
job in order for the environment
to automatically stop.
Additionally, both jobs should have matching rules
or only/except
configuration. In the example
above, if the configuration is not identical, the stop_review
job might not be
included in all pipelines that include the deploy_review
job, and it will not be
possible to trigger the action: stop
to stop the environment automatically.
You can read more in the .gitlab-ci.yml
reference.
Environments auto-stop
Introduced in GitLab 12.8.
You can set a expiry time to environments and stop them automatically after a certain period.
For example, consider the use of this feature with Review Apps environments. When you set up Review Apps, sometimes they keep running for a long time because some merge requests are left as open. An example for this situation is when the author of the merge request is not actively working on it, due to priority changes or a different approach was decided on, and the merge requests was simply forgotten. Idle environments waste resources, therefore they should be terminated as soon as possible.
To address this problem, you can specify an optional expiration date for Review Apps environments. When the expiry time is reached, GitLab will automatically trigger a job to stop the environment, eliminating the need of manually doing so. In case an environment is updated, the expiration is renewed ensuring that only active merge requests keep running Review Apps.
To enable this feature, you need to specify the environment:auto_stop_in
keyword in .gitlab-ci.yml
.
You can specify a human-friendly date as the value, such as 1 hour and 30 minutes
or 1 day
.
auto_stop_in
uses the same format of artifacts:expire_in
docs.
NOTE: Note: Due to the resource limitation, a background worker for stopping environments only runs once every hour. This means environments will not be stopped at the exact timestamp as the specified period, but will be stopped when the hourly cron worker detects expired environments.
Auto-stop example
In the following example, there is a basic review app setup that creates a new environment
per merge request. The review_app
job is triggered by every push and
creates or updates an environment named review/your-branch-name
.
The environment keeps running until stop_review_app
is executed:
review_app:
script: deploy-review-app
environment:
name: review/$CI_COMMIT_REF_NAME
on_stop: stop_review_app
auto_stop_in: 1 week
stop_review_app:
script: stop-review-app
environment:
name: review/$CI_COMMIT_REF_NAME
action: stop
when: manual
As long as a merge request is active and keeps getting new commits, the review app will not stop, so developers don't need to worry about re-initiating review app.
On the other hand, since stop_review_app
is set to auto_stop_in: 1 week
,
if a merge request becomes inactive for more than a week,
GitLab automatically triggers the stop_review_app
job to stop the environment.
You can also check the expiration date of environments through the GitLab UI. To do so,
go to Operations > Environments > Environment. You can see the auto-stop period
at the left-top section and a pin-mark button at the right-top section. This pin-mark
button can be used to prevent auto-stopping the environment. By clicking this button, the auto_stop_in
setting is over-written
and the environment will be active until it's stopped manually.
Delete a stopped environment
Introduced in GitLab 12.10.
You can delete stopped environments in one of two ways: through the GitLab UI or through the API.
Delete environments through the UI
To view the list of Stopped environments, navigate to Operations > Environments and click the Stopped tab.
From there, you can click the Delete button directly, or you can click the environment name to see its details and Delete it from there.
You can also delete environments by viewing the details for a stopped environment:
- Navigate to Operations > Environments.
- Click on the name of an environment within the Stopped environments list.
- Click on the Delete button that appears at the top for all stopped environments.
- Finally, confirm your chosen environment in the modal that appears to delete it.
Delete environments through the API
Environments can also be deleted by using the Environments API.
Prepare an environment
Introduced in GitLab 13.2.
By default, GitLab creates a deployment every time a build with the specified environment runs. Newer deployments can also cancel older ones.
You may want to specify an environment keyword to
protect builds from unauthorized access, or to get
access to scoped variables. In these cases,
you can use the action: prepare
keyword to ensure deployments won't be created,
and no builds would be canceled:
build:
stage: build
script:
- echo "Building the app"
environment:
name: staging
action: prepare
url: https://staging.example.com
Grouping similar environments
Introduced in GitLab 8.14.
As documented in Configuring dynamic environments, you can
prepend environment name with a word, followed by a /
, and finally the branch
name, which is automatically defined by the CI_COMMIT_REF_NAME
variable.
In short, environments that are named like type/foo
are all presented under the same
group, named type
.
In our minimal example, we named the environments review/$CI_COMMIT_REF_NAME
where $CI_COMMIT_REF_NAME
is the branch name. Here is a snippet of the example:
deploy_review:
stage: deploy
script:
- echo "Deploy a review app"
environment:
name: review/$CI_COMMIT_REF_NAME
In this case, if you visit the Environments page and the branches exist, you should see something like:
Environment incident management
You have successfuly setup a Continous Delivery/Deployment workflow in your project. Production environments can go down unexpectedly, including for reasons outside of your own control. For example, issues with external dependencies, infrastructure, or human error can cause major issues with an environment. This could include:
- A dependent cloud service goes down.
- A 3rd party library is updated and it's not compatible with your application.
- Someone performs a DDoS attack to a vulnerable endpoint in your server.
- An operator misconfigures infrastructure.
- A bug is introduced into the production application code.
You can use incident management to get alerts when there are critical issues that need immediate attention.
View the latest alerts for environments (ULTIMATE)
Introduced in GitLab Ultimate 13.4.
If you set up alerts for Prometheus metrics, alerts for environments are shown on the environments page. The alert with the highest severity is shown, so you can identify which environments need immediate attention.
When the issue that triggered the alert is resolved, it is removed and is no longer visible on the environment page.
If the alert requires a rollback, you can select the deployment tab from the environment page and select which deployment to roll back to.
Monitoring environments
If you have enabled Prometheus for monitoring system and response metrics, you can monitor the behavior of your app running in each environment. For the monitoring dashboard to appear, you need to Configure Prometheus to collect at least one supported metric.
NOTE: Note: Since GitLab 9.2, all deployments to an environment are shown directly on the monitoring dashboard.
Once configured, GitLab will attempt to retrieve supported performance metrics for any environment that has had a successful deployment. If monitoring data was successfully retrieved, a Monitoring button will appear for each environment.
Clicking on the Monitoring button will display a new page showing up to the last 8 hours of performance data. It may take a minute or two for data to appear after initial deployment.
All deployments to an environment are shown directly on the monitoring dashboard, which allows easy correlation between any changes in performance and new versions of the app, all without leaving GitLab.
Embedding metrics in GitLab Flavored Markdown
Metric charts can be embedded within GitLab Flavored Markdown. See Embedding Metrics within GitLab Flavored Markdown for more details.
Web terminals
Web terminals were added in GitLab 8.15 and are only available to project Maintainers and Owners.
If you deploy to your environments with the help of a deployment service (for example, the Kubernetes integration), GitLab can open a terminal session to your environment.
This is a 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 integration 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: 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.
Check out deployments locally
Since GitLab 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 configuration, append the [remote "<your-remote>"]
block with an extra
fetch line:
fetch = +refs/environments/*:refs/remotes/origin/environments/*
Scoping environments with specs
- Introduced in GitLab Premium 9.4.
- Scoping for environment variables was moved to Core in GitLab 12.2.
You can limit the environment scope of a variable by defining which environments it can be available for.
Wildcards can be used, and the default environment scope is *
, which means
any jobs will have this variable, not matter if an environment is defined or
not.
For example, if the environment scope is production
, then only the jobs
having the environment production
defined would have this specific variable.
Wildcards (*
) can be used along with the environment name, therefore if the
environment scope is review/*
then any jobs with environment names starting
with review/
would have that particular variable.
Some GitLab features can behave differently for each environment. For example, you can create a secret variable to be injected only into a production environment.
In most cases, these features use the environment specs mechanism, which offers an efficient way to implement scoping within each environment group.
Let's say there are four environments:
production
staging
review/feature-1
review/feature-2
Each environment can be matched with the following environment spec:
Environment Spec | production |
staging |
review/feature-1 |
review/feature-2 |
---|---|---|---|---|
* | Matched | Matched | Matched | Matched |
production | Matched | |||
staging | Matched | |||
review/* | Matched | Matched | ||
review/feature-1 | Matched |
As you can see, you can use specific matching for selecting a particular environment,
and also use wildcard matching (*
) for selecting a particular environment group,
such as Review Apps (review/*
).
NOTE: Note:
The most specific spec takes precedence over the other wildcard matching.
In this case, review/feature-1
spec takes precedence over review/*
and *
specs.
Environments Dashboard (PREMIUM)
See Environments Dashboard for a summary of each environment's operational health.
Limitations
In the environment: name
, you are limited to only the predefined environment variables.
Re-using variables defined inside script
as part of the environment name will not work.
Further reading
Below are some links you may find interesting: