# Review Apps
Review Apps are automatically deployed by [the
pipeline](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/6665).
## How does it work?
### CI/CD architecture diagram
```mermaid
graph TD
A["build-qa-image, gitlab:assets:compile pull-cache
(canonical default refs only)"];
B[review-build-cng];
C[review-deploy];
D[CNG-mirror];
E[review-qa-smoke];
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
Helm deploys the Review App using the Cloud
Native images built by the CNG-mirror pipeline.
Cloud Native images are deployed to the `review-apps-ce` or `review-apps-ee`
Kubernetes (GKE) cluster, in the GCP `gitlab-review-apps` project."]
end
subgraph "4. gitlab `qa` stage"
E[review-qa-smoke
gitlab-qa runs the smoke suite 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 `test` stage, the
[`gitlab:assets:compile`](https://gitlab.com/gitlab-org/gitlab/-/jobs/467724487) job is automatically started.
- Once it's done, it starts the [`review-build-cng`](https://gitlab.com/gitlab-org/gitlab/-/jobs/467724808)
manual job since the [`CNG-mirror`](https://gitlab.com/gitlab-org/build/CNG-mirror) pipeline triggered in the
following step depends on it.
1. 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 [`CNG-mirror`](https://gitlab.com/gitlab-org/build/CNG-mirror/pipelines/44364657) pipeline creates the Docker images of
each component (e.g. `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`, (**C**loud
**N**ative **G**itLab), 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 the `test` stage 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-ce`](https://console.cloud.google.com/kubernetes/clusters/details/us-central1-a/review-apps-ce?project=gitlab-review-apps) / [`review-apps-ee`](https://console.cloud.google.com/kubernetes/clusters/details/us-central1-b/review-apps-ee?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.
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 keep failing (note that we already retry it twice),
please post a message in the `#g_qe_engineering_productivity` channel and/or create a `~"Engineering Productivity"` `~"ep::review apps"` `~bug`
issue with a link to your merge request. Note that the deployment failure can
reveal an actual problem introduced in your merge request (i.e. this isn't
necessarily a transient failure)!
- If the `review-qa-smoke` job keeps failing (note that we already retry it twice),
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 ~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-{ce,ee}` projects using
[GitLab's Kubernetes integration](../../user/project/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.md#environments-auto-stop) feature.
If you need your Review App to stay up for a longer time, you can
[pin its environment](../../ci/environments.md#auto-stop-example) 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.
## QA runs
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` job is automatically started and it runs
the QA smoke suite.
You can also manually start the `review-qa-all`: it runs the full QA suite.
## 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).
## Cluster configuration
### Node pools
Both `review-apps-ce` and `review-apps-ee` clusters are currently set up with
two node pools:
- a node pool of non-preemptible `n1-standard-2` (2 vCPU, 7.5 GB memory) nodes
dedicated to the `tiller` deployment (see below) with a single node.
- a node pool of preemptible `n1-standard-2` (2 vCPU, 7.5 GB memory) nodes,
with a minimum of 1 node and a maximum of 250 nodes.
### Helm/Tiller
The Helm/Tiller version used is defined in the
[`registry.gitlab.com/gitlab-org/gitlab-build-images:gitlab-charts-build-base` image](https://gitlab.com/gitlab-org/gitlab-build-images/blob/master/Dockerfile.gitlab-charts-build-base#L4)
used by the `review-deploy` and `review-stop` jobs.
The `tiller` deployment (the Helm server) is deployed to a dedicated node pool
that has the `app=helm` label and a specific
[taint](https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/)
to prevent other pods from being scheduled on this node pool.
This is to ensure Tiller isn't affected by "noisy" neighbors that could put
their node under pressure.
## How to
### 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-sg` GCP group.
### Log into my Review App
The default username is `root` and its password can be found in the 1Password
secure note named `gitlab-{ce,ee} Review App's root password`.
### 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 `Checking for previous deployment of review-*`.
1. For instance for `Checking for previous deployment of review-qa-raise-e-12chm0`,
your Review App slug would be `review-qa-raise-e-12chm0` in this case.
### Run a Rails console
1. Make sure you [have access to the cluster](#get-access-to-the-gcp-review-apps-cluster) first.
1. [Filter Workloads by your Review App slug](https://console.cloud.google.com/kubernetes/workload?project=gitlab-review-apps),
e.g. `review-qa-raise-e-12chm0`.
1. Find and open the `task-runner` Deployment, e.g. `review-qa-raise-e-12chm0-task-runner`.
1. Click on the Pod in the "Managed pods" section, e.g. `review-qa-raise-e-12chm0-task-runner-d5455cc8-2lsvz`.
1. Click on the `KUBECTL` dropdown, then `Exec` -> `task-runner`.
1. Replace `-c task-runner -- ls` with `-it -- gitlab-rails console` from the
default command or
- Run `kubectl exec --namespace review-apps-ce review-qa-raise-e-12chm0-task-runner-d5455cc8-2lsvz -it -- gitlab-rails console` and
- Replace `review-apps-ce` with `review-apps-ee` if the Review App
is running EE, and
- Replace `review-qa-raise-e-12chm0-task-runner-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) first.
1. [Filter Workloads by your Review App slug](https://console.cloud.google.com/kubernetes/workload?project=gitlab-review-apps),
e.g. `review-qa-raise-e-12chm0`.
1. Find and open the `migrations` Deployment, e.g.
`review-qa-raise-e-12chm0-migrations.1`.
1. Click on the Pod in the "Managed pods" section, e.g.
`review-qa-raise-e-12chm0-migrations.1-nqwtx`.
1. Click on the `Container logs` link.
## 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-ce/ee` 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://app.google.stackdriver.com/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.
### Node count is always increasing (i.e. 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, and at the Tiller logs.
**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 config 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 config 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 will schedule 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=` - filters down to all pods for a release. This aids in determining what is having issues in a single deployment
- `-lapp=` - 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
(e.g. `gitlab-runner`).
After some digging, we found that new mounts were failing, when being performed
with transient scopes (e.g. 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 ` & 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` => e.g. 290
- `systemctl list-units --all | grep -i var-lib-kube | wc -l` => e.g. 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 so that it's less likely
that a machine will hit 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
---
[Return to Testing documentation](index.md)