This document describes additional options to configure your Tekton Pipelines installation.
- Configuring built-in remote Task and Pipeline resolution
- Configuring CloudEvents notifications
- Configuring self-signed cert for private registry
- Configuring environment variables
- Customizing basic execution parameters
- Enabling larger results using sidecar logs
- Configuring High Availability
- Configuring tekton pipeline controller performance
- Platform Support
- Creating a custom release of Tekton Pipelines
- Verify Tekton Pipelines Release
- Verify Tekton Resources
- Pipelinerun with Affinity Assistant
- Next steps
Four remote resolvers are currently provided as part of the Tekton Pipelines installation.
By default, these remote resolvers are enabled. Each resolver can be disabled by setting
the appropriate feature flag in the resolvers-feature-flags ConfigMap in the tekton-pipelines-resolvers
namespace:
- The
bundlesresolver, disabled by setting theenable-bundles-resolverfeature flag tofalse. - The
gitresolver, disabled by setting theenable-git-resolverfeature flag tofalse. - The
hubresolver, disabled by setting theenable-hub-resolverfeature flag tofalse. - The
clusterresolver, disabled by setting theenable-cluster-resolverfeature flag tofalse.
When configured so, Tekton can generate CloudEvents for TaskRun,
PipelineRun and Runlifecycle events. The main configuration parameter is the
URL of the sink. When not set, no notification is generated.
apiVersion: v1
kind: ConfigMap
metadata:
name: config-defaults
namespace: tekton-pipelines
labels:
app.kubernetes.io/instance: default
app.kubernetes.io/part-of: tekton-pipelines
data:
default-cloud-events-sink: https://my-sink-urlAdditionally, CloudEvents for Runs require an extra configuration to be
enabled. This setting exists to avoid collisions with CloudEvents that might
be sent by custom task controllers:
apiVersion: v1
kind: ConfigMap
metadata:
name: feature-flags
namespace: tekton-pipelines
labels:
app.kubernetes.io/instance: default
app.kubernetes.io/part-of: tekton-pipelines
data:
send-cloudevents-for-runs: trueThe SSL_CERT_DIR is set to /etc/ssl/certs as the default cert directory. If you are using a self-signed cert for private registry and the cert file is not under the default cert directory, configure your registry cert in the config-registry-cert ConfigMap with the key cert.
Environment variables can be configured in the following ways, mentioned in order of precedence from lowest to highest.
- Implicit environment variables
Step/StepTemplateenvironment variables- Environment variables specified via a
defaultPodTemplate. - Environment variables specified via a
PodTemplate.
The environment variables specified by a PodTemplate supercedes all other ways of specifying environment variables. However, there exists a configuration i.e. default-forbidden-env, the environment variable specified in this list cannot be updated via a PodTemplate.
For example:
apiVersion: v1
kind: ConfigMap
metadata:
name: config-defaults
namespace: tekton-pipelines
data:
default-timeout-minutes: "50"
default-service-account: "tekton"
default-forbidden-env: "TEST_TEKTON"
---
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
name: mytask
namespace: default
spec:
steps:
- name: echo-env
image: ubuntu
command: ["bash", "-c"]
args: ["echo $TEST_TEKTON "]
env:
- name: "TEST_TEKTON"
value: "true"
---
apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
name: mytaskrun
namespace: default
spec:
taskRef:
name: mytask
podTemplate:
env:
- name: "TEST_TEKTON"
value: "false"In the above example the environment variable TEST_TEKTON will not be overriden by value specified in podTemplate, because the config-default option default-forbidden-env is configured with value TEST_TEKTON.
You can specify your own values that replace the default service account (ServiceAccount), timeout (Timeout), resolver (Resolver), and Pod template (PodTemplate) values used by Tekton Pipelines in TaskRun and PipelineRun definitions. To do so, modify the ConfigMap config-defaults with your desired values.
The example below customizes the following:
- the default service account from
defaulttotekton. - the default timeout from 60 minutes to 20 minutes.
- the default
app.kubernetes.io/managed-bylabel is applied to all Pods created to executeTaskRuns. - the default Pod template to include a node selector to select the node where the Pod will be scheduled by default. A list of supported fields is available here.
For more information, see
PodTemplateinTaskRunsorPodTemplateinPipelineRuns. - the default
Workspaceconfiguration can be set for anyWorkspacesthat a Task declares but that a TaskRun does not explicitly provide. - the default maximum combinations of
Parametersin aMatrixthat can be used to fan out aPipelineTask. For more information, seeMatrix. - the default resolver type to
git.
apiVersion: v1
kind: ConfigMap
metadata:
name: config-defaults
data:
default-service-account: "tekton"
default-timeout-minutes: "20"
default-pod-template: |
nodeSelector:
kops.k8s.io/instancegroup: build-instance-group
default-managed-by-label-value: "my-tekton-installation"
default-task-run-workspace-binding: |
emptyDir: {}
default-max-matrix-combinations-count: "1024"
default-resolver-type: "git"Note: The _example key in the provided config-defaults.yaml
file lists the keys you can customize along with their default values.
To customize the behavior of the Pipelines Controller, modify the ConfigMap feature-flags via
kubectl edit configmap feature-flags -n tekton-pipelines.
Note: Changing feature flags may result in undefined behavior for TaskRuns and PipelineRuns that are running while the change occurs.
The flags in this ConfigMap are as follows:
-
disable-affinity-assistant- set this flag totrueto disable the Affinity Assistant that is used to provide Node Affinity forTaskRunpods that share workspace volume. The Affinity Assistant is incompatible with other affinity rules configured forTaskRunpods.Note: Affinity Assistant use Inter-pod affinity and anti-affinity that require substantial amount of processing which can slow down scheduling in large clusters significantly. We do not recommend using them in clusters larger than several hundred nodes
Note: Pod anti-affinity requires nodes to be consistently labelled, in other words every node in the cluster must have an appropriate label matching
topologyKey. If some or all nodes are missing the specifiedtopologyKeylabel, it can lead to unintended behavior. -
await-sidecar-readiness: set this flag to"false"to allow the Tekton controller to start a TasksRun's first step immediately without waiting for sidecar containers to be running first. Using this option should decrease the time it takes for a TaskRun to start running, and will allow TaskRun pods to be scheduled in environments that don't support Downward API volumes (e.g. some virtual kubelet implementations). However, this may lead to unexpected behaviour with Tasks that use sidecars, or in clusters that use injected sidecars (e.g. Istio). Setting this flag to"false"will mean therunning-in-environment-with-injected-sidecarsflag has no effect. -
running-in-environment-with-injected-sidecars: set this flag to"false"to allow the Tekton controller to start a TasksRun's first step immediately if it has no Sidecars specified. Using this option should decrease the time it takes for a TaskRun to start running. However, for clusters that use injected sidecars (e.g. Istio) this can lead to unexpected behavior. -
require-git-ssh-secret-known-hosts: set this flag to"true"to require that Git SSH Secrets include aknown_hostsfield. This ensures that a git remote server's key is validated before data is accepted from it when authenticating over SSH. Secrets that don't include aknown_hostswill result in the TaskRun failing validation and not running. -
enable-tekton-oci-bundles: set this flag to"true"to enable the tekton OCI bundle usage (see the tekton bundle contract). Enabling this option allows the use ofbundlefield intaskRefandpipelineRefforPipeline,PipelineRunandTaskRun. By default, this option is disabled ("false"), which means it is disallowed to use thebundlefield. -
disable-creds-init- set this flag to"true"to disable Tekton's built-in credential initialization and use Workspaces to mount credentials from Secrets instead. The default isfalse. For more information, see the associated issue. -
enable-api-fields: When using v1beta1 APIs, setting this field to "stable" or "beta" enables beta features. When using v1 APIs, setting this field to "stable" allows only stable features, and setting it to "beta" allows only beta features. Set this field to "alpha" to allow alpha features to be used. -
trusted-resources-verification-no-match-policy: Setting this flag tofailwill fail the taskrun/pipelinerun if no matching policies found. Setting towarnwill skip verification and log a warning if no matching policies are found, but not fail the taskrun/pipelinerun. Setting toignorewill skip verification if no matching policies found. Defaults to "ignore". -
results-from: set this flag to "termination-message" to use the container's termination message to fetch results from. This is the default method of extracting results. Set it to "sidecar-logs" to enable use of a results sidecar logs to extract results instead of termination message. -
enable-provenance-in-status: Set this flag to"true"to enable populating theprovenancefield inTaskRunandPipelineRunstatus. Theprovenancefield contains metadata about resources used in the TaskRun/PipelineRun such as the source from where a remote Task/Pipeline definition was fetched. By default, this is set totrue. To disable populating this field, set this flag to"false".
For example:
apiVersion: v1
kind: ConfigMap
metadata:
name: feature-flags
data:
enable-api-fields: "alpha" # Allow alpha fields to be used in Tasks and Pipelines.Alpha features in the following table are still in development and their syntax is subject to change.
- To enable the features without an individual flag:
set the
enable-api-fieldsfeature flag to"alpha"in thefeature-flagsConfigMap alongside your Tekton Pipelines deployment viakubectl patch cm feature-flags -n tekton-pipelines -p '{"data":{"enable-api-fields":"alpha"}}'. - To enable the features with an individual flag:
set the individual flag accordingly in the
feature-flagConfigMap alongside your Tekton Pipelines deployment. Example:kubectl patch cm feature-flags -n tekton-pipelines -p '{"data":{"<FLAG-NAME>":"<FLAG-VALUE>"}}'.
Features currently in "alpha" are:
| Feature | Proposal | Release | Individual Flag |
|---|---|---|---|
| Bundles | TEP-0005 | v0.18.0 | enable-tekton-oci-bundles |
Isolated Step & Sidecar Workspaces |
TEP-0029 | v0.24.0 | |
| Hermetic Execution Mode | TEP-0025 | v0.25.0 | |
| Windows Scripts | TEP-0057 | v0.28.0 | |
| Debug | TEP-0042 | v0.26.0 | |
| Step and Sidecar Overrides | TEP-0094 | v0.34.0 | |
| Matrix | TEP-0090 | v0.38.0 | |
| Task-level Resource Requirements | TEP-0104 | v0.39.0 | |
| Trusted Resources | TEP-0091 | N/A | trusted-resources-verification-no-match-policy |
| Larger Results via Sidecar Logs | TEP-0127 | v0.43.0 | results-from |
| Configure Default Resolver | TEP-0133 | N/A |
Beta features are fields of stable CRDs that follow our "beta" compatibility policy.
To enable these features, set the enable-api-fields feature flag to "beta" in
the feature-flags ConfigMap alongside your Tekton Pipelines deployment via
kubectl patch cm feature-flags -n tekton-pipelines -p '{"data":{"enable-api-fields":"beta"}}'.
For beta versions of Tekton CRDs, setting enable-api-fields to "beta" is the same as setting it to "stable".
Features currently in "beta" are:
| Feature | Proposal | Alpha Release | Beta Release | Individual Flag |
|---|---|---|---|---|
| Array Results and Array Indexing | TEP-0076 | v0.38.0 | v0.45.0 | |
| Object Parameters and Results | TEP-0075 | v0.46.0 | ||
| Remote Tasks and Remote Pipelines | TEP-0060 | v0.41.0 | ||
Provenance field in Status |
issue#5550 | v0.41.0 | v0.48.0 | enable-provenance-in-status |
| CSI workspaces | issue#4446 | v0.38.0 | v0.41.0 | |
| Projected volume workspaces | issue#5075 | v0.38.0 | v0.41.0 |
Note: The maximum size of a Task's results is limited by the container termination message feature of Kubernetes, as results are passed back to the controller via this mechanism. At present, the limit is per task is “4096 bytes”. All results produced by the task share this upper limit.
To exceed this limit of 4096 bytes, you can enable larger results using sidecar logs. By enabling this feature, you will have a configurable limit (with a default of 4096 bytes) per result with no restriction on the number of results. The results are still stored in the taskrun crd so they should not exceed the 1.5MB CRD size limit.
Note: to enable this feature, you need to grant get access to all pods/log to the Tekton pipeline controller. This means that the tekton pipeline controller has the ability to access the pod logs.
- Create a cluster role and rolebinding by applying the following spec to provide log access to
tekton-pipelines-controller.
kubectl apply -f optional_config/enable-log-access-to-controller/
- Set the
results-fromfeature flag to use sidecar logs by settingresults-from: sidecar-logsin the configMap.
kubectl patch cm feature-flags -n tekton-pipelines -p '{"data":{"results-from":"sidecar-logs"}}'
- If you want the size per result to be something other than 4096 bytes, you can set the
max-result-sizefeature flag in bytes by settingmax-result-size: 8192(whatever you need here). Note: The value you can set here cannot exceed the size of the CRD limit of 1.5 MB.
kubectl patch cm feature-flags -n tekton-pipelines -p '{"data":{"max-result-size":"<VALUE-IN-BYTES>"}}'
If you want to run Tekton Pipelines in a way so that webhooks are resiliant against failures and support high concurrency scenarios, you need to run a Metrics Server in your Kubernetes cluster. This is required by the Horizontal Pod Autoscalers to compute replica count.
See HA Support for Tekton Pipeline Controllers for instructions on configuring High Availability in the Tekton Pipelines Controller.
The default configuration is defined in webhook-hpa.yaml which can be customized to better fit specific usecases.
Out-of-the-box, Tekton Pipelines Controller is configured for relatively small-scale deployments but there have several options for configuring Pipelines' performance are available. See the Performance Configuration document which describes how to change the default ThreadsPerController, QPS and Burst settings to meet your requirements.
To allow TaskRuns and PipelineRuns to run in namespaces with restricted pod security standards, set the "set-security-context" feature flag to "true" in the feature-flags configMap. This configuration option applies a SecurityContext to any containers injected into TaskRuns by the Pipelines controller. This SecurityContext may not be supported in all Kubernetes implementations (for example, OpenShift).
Note: running TaskRuns and PipelineRuns in the "tekton-pipelines" namespace is discouraged.
The Tekton project provides support for running on x86 Linux Kubernetes nodes.
The project produces images capable of running on other architectures and operating systems, but may not be able to help debug issues specific to those platforms as readily as those that affect Linux on x86.
The controller and webhook components are currently built for:
- linux/amd64
- linux/arm64
- linux/arm (Arm v7)
- linux/ppc64le (PowerPC)
- linux/s390x (IBM Z)
The entrypoint component is also built for Windows, which enables TaskRun workloads to execute on Windows nodes. See Windows documentation for more information.
You can create a custom release of Tekton Pipelines by following and customizing the steps in Creating an official release. For example, you might want to customize the container images built and used by Tekton Pipelines.
We will refine this process over time to be more streamlined. For now, please follow the steps listed in this section to verify Tekton pipeline release.
Tekton Pipeline's images are being signed by Tekton Chains since 0.27.1. You can verify the images with
cosign using the Tekton's public key.
With Go 1.16+, you can install cosign by running:
go install github.com/sigstore/cosign/cmd/cosign@latestYou can verify Tekton Pipelines official images using the Tekton public key:
cosign verify -key https://raw.githubusercontent.com/tektoncd/chains/main/tekton.pub gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller:v0.28.1which results in:
Verification for gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller:v0.28.1 --
The following checks were performed on each of these signatures:
- The cosign claims were validated
- The signatures were verified against the specified public key
- Any certificates were verified against the Fulcio roots.
{
"Critical": {
"Identity": {
"docker-reference": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller"
},
"Image": {
"Docker-manifest-digest": "sha256:0c320bc09e91e22ce7f01e47c9f3cb3449749a5f72d5eaecb96e710d999c28e8"
},
"Type": "Tekton container signature"
},
"Optional": {}
}The verification shows a list of checks performed and returns the digest in Critical.Image.Docker-manifest-digest
which can be used to retrieve the provenance from the transparency logs for that image using rekor-cli.
Install the rekor-cli by running:
go install -v github.com/sigstore/rekor/cmd/rekor-cli@latestNow, use the digest collected from the previous section in
Critical.Image.Docker-manifest-digest, for example,
sha256:0c320bc09e91e22ce7f01e47c9f3cb3449749a5f72d5eaecb96e710d999c28e8.
Search the transparency log with the digest just collected:
rekor-cli search --sha sha256:0c320bc09e91e22ce7f01e47c9f3cb3449749a5f72d5eaecb96e710d999c28e8which results in:
Found matching entries (listed by UUID):
68a53d0e75463d805dc9437dda5815171502475dd704459a5ce3078edba96226Tekton Chains generates provenance based on the custom format
in which the subject holds the list of artifacts which were built as part of the release. For the Pipeline release,
subject includes a list of images including pipeline controller, pipeline webhook, etc. Use the UUID to get the provenance:
rekor-cli get --uuid 68a53d0e75463d805dc9437dda5815171502475dd704459a5ce3078edba96226 --format json | jq -r .Attestation | base64 --decode | jqwhich results in:
{
"_type": "https://in-toto.io/Statement/v0.1",
"predicateType": "https://tekton.dev/chains/provenance",
"subject": [
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller",
"digest": {
"sha256": "0c320bc09e91e22ce7f01e47c9f3cb3449749a5f72d5eaecb96e710d999c28e8"
}
},
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/entrypoint",
"digest": {
"sha256": "2fa7f7c3408f52ff21b2d8c4271374dac4f5b113b1c4dbc7d5189131e71ce721"
}
},
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/git-init",
"digest": {
"sha256": "83d5ec6addece4aac79898c9631ee669f5fee5a710a2ed1f98a6d40c19fb88f7"
}
},
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/imagedigestexporter",
"digest": {
"sha256": "e4d77b5b8902270f37812f85feb70d57d6d0e1fed2f3b46f86baf534f19cd9c0"
}
},
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/nop",
"digest": {
"sha256": "59b5304bcfdd9834150a2701720cf66e3ebe6d6e4d361ae1612d9430089591f8"
}
},
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/pullrequest-init",
"digest": {
"sha256": "4992491b2714a73c0a84553030e6056e6495b3d9d5cc6b20cf7bc8c51be779bb"
}
},
{
"name": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/webhook",
"digest": {
"sha256": "bf0ef565b301a1981cb2e0d11eb6961c694f6d2401928dccebe7d1e9d8c914de"
}
}
],
...Now, verify the digest in the release.yaml by matching it with the provenance, for example, the digest for the release v0.28.1:
curl -s https://storage.googleapis.com/tekton-releases/pipeline/previous/v0.28.1/release.yaml | grep github.com/tektoncd/pipeline/cmd/controller:v0.28.1 | awk -F"github.com/tektoncd/pipeline/cmd/controller:v0.28.1@" '{print $2}'which results in:
sha256:0c320bc09e91e22ce7f01e47c9f3cb3449749a5f72d5eaecb96e710d999c28e8Now, you can verify the deployment specifications in the release.yaml to match each of these images and their digest.
The tekton-pipelines-controller deployment specification has a container named tekton-pipeline-controller and a
list of image references with their digest as part of the args:
containers:
- name: tekton-pipelines-controller
image: gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller:v0.28.1@sha256:0c320bc09e91e22ce7f01e47c9f3cb3449749a5f72d5eaecb96e710d999c28e8
args: [
# These images are built on-demand by `ko resolve` and are replaced
# by image references by digest.
"-git-image",
"gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/git-init:v0.28.1@sha256:83d5ec6addece4aac79898c9631ee669f5fee5a710a2ed1f98a6d40c19fb88f7",
"-entrypoint-image",
"gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/entrypoint:v0.28.1@sha256:2fa7f7c3408f52ff21b2d8c4271374dac4f5b113b1c4dbc7d5189131e71ce721",
"-nop-image",
"gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/nop:v0.28.1@sha256:59b5304bcfdd9834150a2701720cf66e3ebe6d6e4d361ae1612d9430089591f8",
"-imagedigest-exporter-image",
"gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/imagedigestexporter:v0.28.1@sha256:e4d77b5b8902270f37812f85feb70d57d6d0e1fed2f3b46f86baf534f19cd9c0",
"-pr-image",
"gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/pullrequest-init:v0.28.1@sha256:4992491b2714a73c0a84553030e6056e6495b3d9d5cc6b20cf7bc8c51be779bb",Similarly, you can verify the rest of the images which were published as part of the Tekton Pipelines release:
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/git-init
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/entrypoint
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/nop
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/imagedigestexporter
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/pullrequest-init
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/webhookTrusted Resources is a feature to verify Tekton Tasks and Pipelines. The current
version of feature supports v1beta1 Task and Pipeline. For more details
please take a look at Trusted Resources.
The cluster operators can review the guidelines to cordon a node in the cluster
with the tekton controller and the affinity assistant is enabled.
To get started with Tekton check the [Introductory tutorials][quickstarts], the [how-to guides][howtos], and the [examples folder][examples].
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