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218 lines
6.3 KiB
Markdown
218 lines
6.3 KiB
Markdown
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---
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toc_max_heading_level: 2
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---
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# Kubernetes backend
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The kubernetes backend executes steps inside standalone pods. A temporary PVC is created for the lifetime of the pipeline to transfer files between steps.
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## Job specific configuration
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### Resources
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The kubernetes backend also allows for specifying requests and limits on a per-step basic, most commonly for CPU and memory.
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We recommend to add a `resources` definition to all steps to ensure efficient scheduling.
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Here is an example definition with an arbitrary `resources` definition below the `backend_options` section:
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```yaml
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steps:
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'My kubernetes step':
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image: alpine
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commands:
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- echo "Hello world"
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backend_options:
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kubernetes:
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resources:
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requests:
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memory: 200Mi
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cpu: 100m
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limits:
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memory: 400Mi
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cpu: 1000m
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```
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### `serviceAccountName`
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Specify the name of the ServiceAccount which the build pod will mount. This serviceAccount must be created externally.
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See the [kubernetes documentation](https://kubernetes.io/docs/concepts/security/service-accounts/) for more information on using serviceAccounts.
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### `nodeSelector`
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Specifies the label which is used to select the node on which the job will be executed.
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Labels defined here will be appended to a list which already contains `"kubernetes.io/arch"`.
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By default `"kubernetes.io/arch"` is inferred from the agents' platform. One can override it by setting that label in the `nodeSelector` section of the `backend_options`.
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Without a manual overwrite, builds will be randomly assigned to the runners and inherit their respective architectures.
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To overwrite this, one needs to set the label in the `nodeSelector` section of the `backend_options`.
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A practical example for this is when running a matrix-build and delegating specific elements of the matrix to run on a specific architecture.
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In this case, one must define an arbitrary key in the matrix section of the respective matrix element:
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```yaml
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matrix:
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include:
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- NAME: runner1
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ARCH: arm64
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```
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And then overwrite the `nodeSelector` in the `backend_options` section of the step(s) using the name of the respective env var:
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```yaml
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[...]
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backend_options:
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kubernetes:
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nodeSelector:
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kubernetes.io/arch: "${ARCH}"
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```
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### `tolerations`
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When you use nodeSelector and the node pool is configured with Taints, you need to specify the Tolerations. Tolerations allow the scheduler to schedule pods with matching taints.
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See the [kubernetes documentation](https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/) for more information on using tolerations.
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Example pipeline configuration:
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```yaml
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steps:
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build:
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image: golang
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commands:
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- go get
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- go build
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- go test
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backend_options:
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kubernetes:
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serviceAccountName: 'my-service-account'
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resources:
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requests:
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memory: 128Mi
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cpu: 1000m
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limits:
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memory: 256Mi
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nodeSelector:
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beta.kubernetes.io/instance-type: p3.8xlarge
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tolerations:
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- key: 'key1'
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operator: 'Equal'
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value: 'value1'
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effect: 'NoSchedule'
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tolerationSeconds: 3600
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```
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### Volumes
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To mount volumes a persistent volume (PV) and persistent volume claim (PVC) are needed on the cluster which can be referenced in steps via the `volume:` option.
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Assuming a PVC named "woodpecker-cache" exists, it can be referenced as follows in a step:
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```yaml
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steps:
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"Restore Cache":
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image: meltwater/drone-cache
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volumes:
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- woodpecker-cache:/woodpecker/src/cache
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settings:
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mount:
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- "woodpecker-cache"
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[...]
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```
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### `securityContext`
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Use the following configuration to set the `securityContext` for the pod/container running a given pipeline step:
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```yaml
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steps:
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test:
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image: alpine
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commands:
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- echo Hello world
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backend_options:
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kubernetes:
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securityContext:
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runAsUser: 999
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runAsGroup: 999
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privileged: true
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[...]
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```
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Note that the `backend_options.kubernetes.securityContext` object allows you to set both pod and container level security context options in one object.
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By default, the properties will be set at the pod level. Properties that are only supported on the container level will be set there instead. So, the
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configuration shown above will result in something like the following pod spec:
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```yaml
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kind: Pod
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spec:
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securityContext:
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runAsUser: 999
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runAsGroup: 999
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containers:
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- name: wp-01hcd83q7be5ymh89k5accn3k6-0-step-0
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image: alpine
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securityContext:
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privileged: true
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[...]
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```
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See the [kubernetes documentation](https://kubernetes.io/docs/tasks/configure-pod-container/security-context/) for more information on using `securityContext`.
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## Tips and tricks
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### CRI-O
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CRI-O users currently need to configure the workspace for all workflows in order for them to run correctly. Add the following at the beginning of your configuration:
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```yaml
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workspace:
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base: '/woodpecker'
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path: '/'
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```
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See [this issue](https://github.com/woodpecker-ci/woodpecker/issues/2510) for more details.
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## Configuration
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These env vars can be set in the `env:` sections of the agent.
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### `WOODPECKER_BACKEND_K8S_NAMESPACE`
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> Default: `woodpecker`
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The namespace to create worker pods in.
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### `WOODPECKER_BACKEND_K8S_VOLUME_SIZE`
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> Default: `10G`
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The volume size of the pipeline volume.
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### `WOODPECKER_BACKEND_K8S_STORAGE_CLASS`
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> Default: empty
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The storage class to use for the pipeline volume.
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### `WOODPECKER_BACKEND_K8S_STORAGE_RWX`
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> Default: `true`
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Determines if `RWX` should be used for the pipeline volume's [access mode](https://kubernetes.io/docs/concepts/storage/persistent-volumes/#access-modes). If false, `RWO` is used instead.
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### `WOODPECKER_BACKEND_K8S_POD_LABELS`
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> Default: empty
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Additional labels to apply to worker pods. Must be a YAML object, e.g. `{"example.com/test-label":"test-value"}`.
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### `WOODPECKER_BACKEND_K8S_POD_ANNOTATIONS`
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> Default: empty
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Additional annotations to apply to worker pods. Must be a YAML object, e.g. `{"example.com/test-annotation":"test-value"}`.
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### `WOODPECKER_BACKEND_K8S_SECCTX_NONROOT`
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> Default: `false`
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Determines if containers must be required to run as non-root users.
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