gitlab-org--gitlab-foss/doc/development/testing_guide/review_apps.md

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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
---

# Review Apps

Review Apps are deployed using the `start-review-app-pipeline` job. This job triggers a child pipeline containing a series of jobs to perform the various tasks needed to deploy a Review App.

![start-review-app-pipeline job](img/review-app-parent-pipeline.png)

For any of the following scenarios, the `start-review-app-pipeline` job would be automatically started:

- for merge requests with CI config changes
- for merge requests with frontend changes
- for merge requests with changes to `{,ee/,jh/}{app/controllers}/**/*`
- for merge requests with QA changes
- for scheduled pipelines
- the MR has the `pipeline:run-review-app` label set

## QA runs on Review Apps

On every [pipeline](https://gitlab.com/gitlab-org/gitlab/pipelines/125315730) in the `qa` stage (which comes after the
`review` stage), the `review-qa-smoke` and `review-qa-reliable` jobs are automatically started. The `review-qa-smoke` runs
the QA smoke suite and the `review-qa-reliable` executes E2E tests identified as [reliable](https://about.gitlab.com/handbook/engineering/quality/quality-engineering/reliable-tests).

You can also manually start the `review-qa-all`: it runs the full QA suite.

After the end-to-end test runs have finished, [Allure reports](https://github.com/allure-framework/allure2) are generated and published by
the `allure-report-qa-smoke`, `allure-report-qa-reliable`, and `allure-report-qa-all` jobs. A comment with links to the reports are added to the merge request.

## Performance Metrics

On every [pipeline](https://gitlab.com/gitlab-org/gitlab/pipelines/125315730) in the `qa` stage, the
`review-performance` job is automatically started: this job does basic
browser performance testing using a
[Sitespeed.io Container](../../user/project/merge_requests/browser_performance_testing.md).

## Sample Data for Review Apps

Upon deployment of a review app, project data is created from the [`sample-gitlab-project`](https://gitlab.com/gitlab-org/sample-data-templates/sample-gitlab-project) template project. This aims to provide projects with prepopulated resources to facilitate manual and exploratory testing.

The sample projects will be created in the `root` user namespace and can be accessed from the personal projects list for that user.

## How to

### Redeploy Review App from a clean slate

To reset Review App and redeploy from a clean slate, do the following:

1. Run `review-stop` job.
1. Re-deploy by running or retrying `review-deploy` job.

Doing this will remove all existing data from a previously deployed Review App.

### Get access to the GCP Review Apps cluster

You need to [open an access request (internal link)](https://gitlab.com/gitlab-com/access-requests/-/issues/new)
for the `gcp-review-apps-dev` GCP group and role.

This grants you the following permissions for:

- [Retrieving pod logs](#dig-into-a-pods-logs). Granted by [Viewer (`roles/viewer`)](https://cloud.google.com/iam/docs/understanding-roles#kubernetes-engine-roles).
- [Running a Rails console](#run-a-rails-console). Granted by [Kubernetes Engine Developer (`roles/container.pods.exec`)](https://cloud.google.com/iam/docs/understanding-roles#kubernetes-engine-roles).

### Log into my Review App

For GitLab Team Members only. If you want to sign in to the review app, review
the GitLab handbook information for the [shared 1Password account](https://about.gitlab.com/handbook/security/#1password-for-teams).

- The default username is `root`.
- The password can be found in the 1Password login item named `GitLab EE Review App`.

### Enable a feature flag for my Review App

1. Open your Review App and log in as documented above.
1. Create a personal access token.
1. Enable the feature flag using the [Feature flag API](../../api/features.md).

### Find my Review App slug

1. Open the `review-deploy` job.
1. Look for `** Deploying review-*`.
1. For instance for `** Deploying review-1234-abc-defg... **`,
   your Review App slug would be `review-1234-abc-defg` in this case.

### Run a Rails console

1. Make sure you [have access to the cluster](#get-access-to-the-gcp-review-apps-cluster) and the `container.pods.exec` permission first.
1. [Filter Workloads by your Review App slug](https://console.cloud.google.com/kubernetes/workload?project=gitlab-review-apps). For example, `review-qa-raise-e-12chm0`.
1. Find and open the `toolbox` Deployment. For example, `review-qa-raise-e-12chm0-toolbox`.
1. Click on the Pod in the "Managed pods" section. For example, `review-qa-raise-e-12chm0-toolbox-d5455cc8-2lsvz`.
1. Click on the `KUBECTL` dropdown, then `Exec` -> `toolbox`.
1. Replace `-c toolbox -- ls` with `-it -- gitlab-rails console` from the
   default command or
   - Run `kubectl exec --namespace review-qa-raise-e-12chm0 review-qa-raise-e-12chm0-toolbox-d5455cc8-2lsvz -it -- gitlab-rails console` and
     - Replace `review-qa-raise-e-12chm0-toolbox-d5455cc8-2lsvz`
       with your Pod's name.

### Dig into a Pod's logs

1. Make sure you [have access to the cluster](#get-access-to-the-gcp-review-apps-cluster) and the `container.pods.getLogs` permission first.
1. [Filter Workloads by your Review App slug](https://console.cloud.google.com/kubernetes/workload?project=gitlab-review-apps). For example, `review-qa-raise-e-12chm0`.
1. Find and open the `migrations` Deployment. For example, `review-qa-raise-e-12chm0-migrations.1`.
1. Click on the Pod in the "Managed pods" section. For example, `review-qa-raise-e-12chm0-migrations.1-nqwtx`.
1. Click on the `Container logs` link.

Alternatively, you could use the [Logs Explorer](https://console.cloud.google.com/logs/query;query=?project=gitlab-review-apps) which provides more utility to search logs. An example query for a pod name is as follows:

```shell
resource.labels.pod_name:"review-qa-raise-e-12chm0-migrations"
```

## How does it work?

### CI/CD architecture diagram

```mermaid
graph TD
  A["build-qa-image, compile-production-assets<br/>(canonical default refs only)"];
  B[review-build-cng];
  C[review-deploy];
  D[CNG-mirror];
  E[review-qa-smoke, review-qa-reliable];

  A -->|once the `prepare` stage is done| B
  B -.->|triggers a CNG-mirror pipeline and wait for it to be done| D
  D -.->|polls until completed| B
  B -->|once the `review-build-cng` job is done| C
  C -->|once the `review-deploy` job is done| E

subgraph "1. gitlab `prepare` stage"
  A
  end

subgraph "2. gitlab `review-prepare` stage"
  B
  end

subgraph "3. gitlab `review` stage"
  C["review-deploy<br><br>Helm deploys the Review App using the Cloud<br/>Native images built by the CNG-mirror pipeline.<br><br>Cloud Native images are deployed to the `review-apps`<br>Kubernetes (GKE) cluster, in the GCP `gitlab-review-apps` project."]
  end

subgraph "4. gitlab `qa` stage"
  E[review-qa-smoke, review-qa-reliable<br><br>gitlab-qa runs the smoke and reliable suites against the Review App.]
  end

subgraph "CNG-mirror pipeline"
  D>Cloud Native images are built];
  end
```

### Detailed explanation

1. On every [pipeline](https://gitlab.com/gitlab-org/gitlab/pipelines/125315730) during the `prepare` stage, the
   [`compile-production-assets`](https://gitlab.com/gitlab-org/gitlab/-/jobs/641770154) job is automatically started.
   - Once it's done, the [`review-build-cng`](https://gitlab.com/gitlab-org/gitlab/-/jobs/467724808)
     job starts since the [`CNG-mirror`](https://gitlab.com/gitlab-org/build/CNG-mirror) pipeline triggered in the
     following step depends on it.
1. Once `compile-production-assets` is done, the [`review-build-cng`](https://gitlab.com/gitlab-org/gitlab/-/jobs/467724808)
   job [triggers a pipeline](https://gitlab.com/gitlab-org/build/CNG-mirror/pipelines/44364657)
   in the [`CNG-mirror`](https://gitlab.com/gitlab-org/build/CNG-mirror) project.
   - The `review-build-cng` job automatically starts only if your MR includes
     [CI or frontend changes](../pipelines.md#changes-patterns). In other cases, the job is manual.
   - The [`CNG-mirror`](https://gitlab.com/gitlab-org/build/CNG-mirror/pipelines/44364657) pipeline creates the Docker images of
     each component (for example, `gitlab-rails-ee`, `gitlab-shell`, `gitaly` etc.)
     based on the commit from the [GitLab pipeline](https://gitlab.com/gitlab-org/gitlab/pipelines/125315730) and stores
     them in its [registry](https://gitlab.com/gitlab-org/build/CNG-mirror/container_registry).
   - We use the [`CNG-mirror`](https://gitlab.com/gitlab-org/build/CNG-mirror) project so that the `CNG`, (Cloud
     Native GitLab), project's registry is not overloaded with a lot of transient Docker images.
   - Note that the official CNG images are built by the `cloud-native-image`
     job, which runs only for tags, and triggers itself a [`CNG`](https://gitlab.com/gitlab-org/build/CNG) pipeline.
1. Once `review-build-cng` is done, the [`review-deploy`](https://gitlab.com/gitlab-org/gitlab/-/jobs/467724810) job
   deploys the Review App using [the official GitLab Helm chart](https://gitlab.com/gitlab-org/charts/gitlab/) to
   the [`review-apps`](https://console.cloud.google.com/kubernetes/clusters/details/us-central1-b/review-apps?project=gitlab-review-apps)
   Kubernetes cluster on GCP.
   - The actual scripts used to deploy the Review App can be found at
     [`scripts/review_apps/review-apps.sh`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/scripts/review_apps/review-apps.sh).
   - These scripts are basically
     [our official Auto DevOps scripts](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/ci/templates/Auto-DevOps.gitlab-ci.yml) where the
     default CNG images are overridden with the images built and stored in the
     [`CNG-mirror` project's registry](https://gitlab.com/gitlab-org/build/CNG-mirror/container_registry).
   - Since we're using [the official GitLab Helm chart](https://gitlab.com/gitlab-org/charts/gitlab/), this means
     you get a dedicated environment for your branch that's very close to what
     it would look in production.
   - Each review app is deployed to its own Kubernetes namespace. The namespace is based on the Review App slug that is
     unique to each branch.
1. Once the [`review-deploy`](https://gitlab.com/gitlab-org/gitlab/-/jobs/467724810) job succeeds, you should be able to
   use your Review App thanks to the direct link to it from the MR widget. To log
   into the Review App, see "Log into my Review App?" below.

**Additional notes:**

- If the `review-deploy` job keeps failing (and a manual retry didn't help),
  please post a message in the `#g_qe_engineering_productivity` channel and/or create a `~"Engineering Productivity"` `~"ep::review apps"` `~"type::bug"`
  issue with a link to your merge request. Note that the deployment failure can
  reveal an actual problem introduced in your merge request (that is, this isn't
  necessarily a transient failure)!
- If the `review-qa-smoke` or `review-qa-reliable` job keeps failing (note that we already retry them once),
  please check the job's logs: you could discover an actual problem introduced in
  your merge request. You can also download the artifacts to see screenshots of
  the page at the time the failures occurred. If you don't find the cause of the
  failure or if it seems unrelated to your change, please post a message in the
  `#quality` channel and/or create a ~Quality ~"type::bug" issue with a link to your
  merge request.
- The manual `review-stop` can be used to
  stop a Review App manually, and is also started by GitLab once a merge
  request's branch is deleted after being merged.
- The Kubernetes cluster is connected to the `gitlab` projects using the
  [GitLab Kubernetes integration](../../user/infrastructure/clusters/index.md). This basically
  allows to have a link to the Review App directly from the merge request widget.

### Auto-stopping of Review Apps

Review Apps are automatically stopped 2 days after the last deployment thanks to
the [Environment auto-stop](../../ci/environments/index.md#stop-an-environment-after-a-certain-time-period) feature.

If you need your Review App to stay up for a longer time, you can
[pin its environment](../../ci/environments/index.md#override-a-deployments-scheduled-stop-time) or retry the
`review-deploy` job to update the "latest deployed at" time.

The `review-cleanup` job that automatically runs in scheduled
pipelines (and is manual in merge request) stops stale Review Apps after 5 days,
deletes their environment after 6 days, and cleans up any dangling Helm releases
and Kubernetes resources after 7 days.

The `review-gcp-cleanup` job that automatically runs in scheduled pipelines
(and is manual in merge request) removes any dangling GCP network resources
that were not removed along with the Kubernetes resources.

## Cluster configuration

The cluster is configured via Terraform in the [`engineering-productivity-infrastructure`](https://gitlab.com/gitlab-org/quality/engineering-productivity-infrastructure) project.

Node pool image type must be `Container-Optimized OS (cos)`, not `Container-Optimized OS with Containerd (cos_containerd)`,
due to this [known issue on the Kubernetes executor for GitLab Runner](https://gitlab.com/gitlab-org/gitlab-runner/-/issues/4755)

### Helm

The Helm version used is defined in the
[`registry.gitlab.com/gitlab-org/gitlab-build-images:gitlab-helm3-kubectl1.14` image](https://gitlab.com/gitlab-org/gitlab-build-images/-/blob/master/Dockerfile.gitlab-helm3-kubectl1.14#L7)
used by the `review-deploy` and `review-stop` jobs.

## Diagnosing unhealthy Review App releases

If [Review App Stability](https://app.periscopedata.com/app/gitlab/496118/Engineering-Productivity-Sandbox?widget=6690556&udv=785399)
dips this may be a signal that the `review-apps` cluster is unhealthy.
Leading indicators may be health check failures leading to restarts or majority failure for Review App deployments.

The [Review Apps Overview dashboard](https://console.cloud.google.com/monitoring/classic/dashboards/6798952013815386466?project=gitlab-review-apps&timeDomain=1d)
aids in identifying load spikes on the cluster, and if nodes are problematic or the entire cluster is trending towards unhealthy.

### Database related errors in `review-deploy`, `review-qa-smoke`, or `review-qa-reliable`

Occasionally the state of a Review App's database could diverge from the database schema. This could be caused by
changes to migration files or schema, such as a migration being renamed or deleted. This typically manifests in migration errors such as:

- migration job failing with a column that already exists
- migration job failing with a column that does not exist

To recover from this, please attempt to [redeploy Review App from a clean slate](#redeploy-review-app-from-a-clean-slate)

### Release failed with `ImagePullBackOff`

**Potential cause:**

If you see an `ImagePullBackoff` status, check for a missing Docker image.

**Where to look for further debugging:**

To check that the Docker images were created, run the following Docker command:

```shell
`DOCKER_CLI_EXPERIMENTAL=enabled docker manifest repository:tag`
```

The output of this command indicates if the Docker image exists. For example:

```shell
DOCKER_CLI_EXPERIMENTAL=enabled docker manifest inspect registry.gitlab.com/gitlab-org/build/cng-mirror/gitlab-rails-ee:39467-allow-a-release-s-associated-milestones-to-be-edited-thro
```

If the Docker image does not exist:

- Verify the `image.repository` and `image.tag` options in the `helm upgrade --install` command match the repository names used by CNG-mirror pipeline.
- Look further in the corresponding downstream CNG-mirror pipeline in `review-build-cng` job.

### Node count is always increasing (never stabilizing or decreasing)

**Potential cause:**

That could be a sign that the `review-cleanup` job is
failing to cleanup stale Review Apps and Kubernetes resources.

**Where to look for further debugging:**

Look at the latest `review-cleanup` job log, and identify look for any
unexpected failure.

### p99 CPU utilization is at 100% for most of the nodes and/or many components

**Potential cause:**

This could be a sign that Helm is failing to deploy Review Apps. When Helm has a
lot of `FAILED` releases, it seems that the CPU utilization is increasing, probably
due to Helm or Kubernetes trying to recreate the components.

**Where to look for further debugging:**

Look at a recent `review-deploy` job log.

**Useful commands:**

```shell
# Identify if node spikes are common or load on specific nodes which may get rebalanced by the Kubernetes scheduler
kubectl top nodes | sort --key 3 --numeric

# Identify pods under heavy CPU load
kubectl top pods | sort --key 2 --numeric
```

### The `logging/user/events/FailedMount` chart is going up

**Potential cause:**

This could be a sign that there are too many stale secrets and/or configuration maps.

**Where to look for further debugging:**

Look at [the list of Configurations](https://console.cloud.google.com/kubernetes/config?project=gitlab-review-apps)
or `kubectl get secret,cm --sort-by='{.metadata.creationTimestamp}' | grep 'review-'`.

Any secrets or configuration maps older than 5 days are suspect and should be deleted.

**Useful commands:**

```shell
# List secrets and config maps ordered by created date
kubectl get secret,cm --sort-by='{.metadata.creationTimestamp}' | grep 'review-'

# Delete all secrets that are 5 to 9 days old
kubectl get secret --sort-by='{.metadata.creationTimestamp}' | grep '^review-' | grep '[5-9]d$' | cut -d' ' -f1 | xargs kubectl delete secret

# Delete all secrets that are 10 to 99 days old
kubectl get secret --sort-by='{.metadata.creationTimestamp}' | grep '^review-' | grep '[1-9][0-9]d$' | cut -d' ' -f1 | xargs kubectl delete secret

# Delete all config maps that are 5 to 9 days old
kubectl get cm --sort-by='{.metadata.creationTimestamp}' | grep 'review-' | grep -v 'dns-gitlab-review-app' | grep '[5-9]d$' | cut -d' ' -f1 | xargs kubectl delete cm

# Delete all config maps that are 10 to 99 days old
kubectl get cm --sort-by='{.metadata.creationTimestamp}' | grep 'review-' | grep -v 'dns-gitlab-review-app' | grep '[1-9][0-9]d$' | cut -d' ' -f1 | xargs kubectl delete cm
```

### Using K9s

[K9s](https://github.com/derailed/k9s) is a powerful command line dashboard which allows you to filter by labels. This can help identify trends with apps exceeding the [review-app resource requests](https://gitlab.com/gitlab-org/gitlab/-/blob/master/scripts/review_apps/base-config.yaml). Kubernetes schedules pods to nodes based on resource requests and allow for CPU usage up to the limits.

- In K9s you can sort or add filters by typing the `/` character
  - `-lrelease=<review-app-slug>` - filters down to all pods for a release. This aids in determining what is having issues in a single deployment
  - `-lapp=<app>` - filters down to all pods for a specific app. This aids in determining resource usage by app.
- You can scroll to a Kubernetes resource and hit `d`(describe), `s`(shell), `l`(logs) for a deeper inspection

![K9s](img/k9s.png)

### Troubleshoot a pending `dns-gitlab-review-app-external-dns` Deployment

#### Finding the problem

[In the past](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/62834), it happened
that the `dns-gitlab-review-app-external-dns` Deployment was in a pending state,
effectively preventing all the Review Apps from getting a DNS record assigned,
making them unreachable via domain name.

This in turn prevented other components of the Review App to properly start
(for example, `gitlab-runner`).

After some digging, we found that new mounts fail when performed
with transient scopes (for example, pods) of `systemd-mount`:

```plaintext
MountVolume.SetUp failed for volume "dns-gitlab-review-app-external-dns-token-sj5jm" : mount failed: exit status 1
Mounting command: systemd-run
Mounting arguments: --description=Kubernetes transient mount for /var/lib/kubelet/pods/06add1c3-87b4-11e9-80a9-42010a800107/volumes/kubernetes.io~secret/dns-gitlab-review-app-external-dns-token-sj5jm --scope -- mount -t tmpfs tmpfs /var/lib/kubelet/pods/06add1c3-87b4-11e9-80a9-42010a800107/volumes/kubernetes.io~secret/dns-gitlab-review-app-external-dns-token-sj5jm
Output: Failed to start transient scope unit: Connection timed out
```

This probably happened because the GitLab chart creates 67 resources, leading to
a lot of mount points being created on the underlying GCP node.

The [underlying issue seems to be a `systemd` bug](https://github.com/kubernetes/kubernetes/issues/57345#issuecomment-359068048)
that was fixed in `systemd` `v237`. Unfortunately, our GCP nodes are currently
using `v232`.

For the record, the debugging steps to find out this issue were:

1. Switch kubectl context to `review-apps-ce` (we recommend using [`kubectx`](https://github.com/ahmetb/kubectx/))
1. `kubectl get pods | grep dns`
1. `kubectl describe pod <pod name>` & confirm exact error message
1. Web search for exact error message, following rabbit hole to [a relevant Kubernetes bug report](https://github.com/kubernetes/kubernetes/issues/57345)
1. Access the node over SSH via the GCP console (**Computer Engine > VM
   instances** then click the "SSH" button for the node where the `dns-gitlab-review-app-external-dns` pod runs)
1. In the node: `systemctl --version` => `systemd 232`
1. Gather some more information:
   - `mount | grep kube | wc -l` (returns a count, for example, 290)
   - `systemctl list-units --all | grep -i var-lib-kube | wc -l` (returns a count, for example, 142)
1. Check how many pods are in a bad state:
   - Get all pods running a given node: `kubectl get pods --field-selector=spec.nodeName=NODE_NAME`
   - Get all the `Running` pods on a given node: `kubectl get pods --field-selector=spec.nodeName=NODE_NAME | grep Running`
   - Get all the pods in a bad state on a given node: `kubectl get pods --field-selector=spec.nodeName=NODE_NAME | grep -v 'Running' | grep -v 'Completed'`

#### Solving the problem

To resolve the problem, we needed to (forcibly) drain some nodes:

1. Try a normal drain on the node where the `dns-gitlab-review-app-external-dns`
   pod runs so that Kubernetes automatically move it to another node: `kubectl drain NODE_NAME`
1. If that doesn't work, you can also perform a forcible "drain" the node by removing all pods: `kubectl delete pods --field-selector=spec.nodeName=NODE_NAME`
1. In the node:
   - Perform `systemctl daemon-reload` to remove the dead/inactive units
   - If that doesn't solve the problem, perform a hard reboot: `sudo systemctl reboot`
1. Uncordon any cordoned nodes: `kubectl uncordon NODE_NAME`

In parallel, since most Review Apps were in a broken state, we deleted them to
clean up the list of non-`Running` pods.
Following is a command to delete Review Apps based on their last deployment date
(current date was June 6th at the time) with

```shell
helm ls -d | grep "Jun  4" | cut -f1 | xargs helm delete --purge
```

#### Mitigation steps taken to avoid this problem in the future

We've created a new node pool with smaller machines to reduce the risk
that a machine reaches the "too many mount points" problem in the future.

## Frequently Asked Questions

**Isn't it too much to trigger CNG image builds on every test run? This creates
thousands of unused Docker images.**

  > We have to start somewhere and improve later. Also, we're using the
  > CNG-mirror project to store these Docker images so that we can just wipe out
  > the registry at some point, and use a new fresh, empty one.

**How do we secure this from abuse? Apps are open to the world so we need to
find a way to limit it to only us.**

  > This isn't enabled for forks.

## Other resources

- [Review Apps integration for CE/EE (presentation)](https://docs.google.com/presentation/d/1QPLr6FO4LduROU8pQIPkX1yfGvD13GEJIBOenqoKxR8/edit?usp=sharing)
- [Stability issues](https://gitlab.com/gitlab-org/quality/team-tasks/-/issues/212)

### Helpful command line tools

- [K9s](https://github.com/derailed/k9s) - enables CLI dashboard across pods and enabling filtering by labels
- [Stern](https://github.com/wercker/stern) - enables cross pod log tailing based on label/field selectors

---

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