This is the primary repository for the Keptn software and documentation. Keptn provides a “cloud-native” approach for managing the application release lifecycle metrics, observability, health checks, with pre- and post-deployment evaluations and tasks. It is an incubating project, under the umbrella of the Keptn Application Lifecycle working group.
Note Keptn was developed under the code name of "Keptn Lifecycle Toolkit" or "KLT" for short. The source code contains many vestiges of these names.
Keptn provides Cloud Native teams with the following capabilities:
- Pre-requisite evaluation before deploying workloads and applications
- Finding out when an application (not just a workload) is ready and working
- Checking the Application Health in a declarative (cloud-native) way
- Standardized way to run pre- and post-deployment tasks
- Provide out-of-the-box Observability of the deployment cycle
Keptn can be seen as a general purpose and declarative Level 3 operator for your Application. For this reason, Keptn is agnostic to deployment tools that are used and works with any GitOps solution.
Status of the different features:
Observability: expose OTel metrics and traces of your deployment.
K8s Custom Metrics: expose your Observability platform via the Custom Metric API.
Release lifecycle: handle pre- and post-checks of your Application deployment.
The status follows the Kubernetes API versioning schema.
Keptn can be installed on any Kubernetes cluster running Kubernetes >=1.24. Note that Keptn is not currently compatible with vcluster.
Use the following command sequence to install the latest release of Keptn:
helm repo add klt https://charts.lifecycle.keptn.sh
helm repo update
helm upgrade --install keptn klt/klt -n keptn-lifecycle-toolkit-system --create-namespace --waitFor more info about Keptn, please see our documentation, specifically:
- Introduction to Keptn gives an overview of the Keptn facilities.
- Getting started includes some short exercises to introduce you to Keptn.
- Installation and upgrade provides information about preparing your Kubernetes cluster then installing and enabling Keptn.
- Implementing Keptn applications documents how to integrate Keptn to work with your existing deployment engine and implement its variouos features.
- Architecture provides detailed technical information about how Keptn works.
- CRD Reference and API Reference provide detailed reference material for the custom resources used to configure Keptn.
- Contributing to Keptn provides information about how to contribute to the Keptn project.
You can also find a number of video presentations and demos about Keptn on the YouTube Keptn channel. Videos that refer to the "Keptn Lifecycle Controller" are relevant for the Keptn project.
Keptn is composed of the following components:
- Keptn Lifecycle Operator
- Keptn Scheduler
The Keptn Lifecycle Operator contains several controllers for Keptn CRDs and a Mutating Webhook. The Keptn Scheduler ensures that Pods are started only after the pre-deployment checks have finished successfully.
A Kubernetes Manifest. which is annotated with Keptn specific annotations, is applied to the Kubernetes Cluster. Afterward, the Keptn Scheduler is injected (via Mutating Webhook), and Kubernetes Events for Pre-Deployment are sent to the event stream. The Event Controller watches for events and triggers a Kubernetes Job to fullfil the Pre-Deployment. After the Pre-Deployment has finished, the Keptn Scheduler schedules the Pod to be deployed. The KeptnApp and KeptnWorkload Controllers watch for the workload resources to finish and then generate a Post-Deployment Event. After the Post-Deployment checks, SLOs can be validated using an interface for retrieving SLI data from a provider e.g, Prometheus. Finally, Keptn exposes Metrics and Traces of the entire Deployment cycle with OpenTelemetry.
Annotating a namespace subjects it to the effects of the mutating webhook:
apiVersion: v1
kind: Namespace
metadata:
name: podtato-kubectl
annotations:
keptn.sh/lifecycle-toolkit: "enabled" # this line tells the webhook to handle the namespaceThe mutating webhook only modifies specifically annotated resources in the annotated namespace. When the webhook receives a request for a new pod, it looks for the workload annotations:
keptn.sh/workload: "some-workload-name"The mutation consists in changing the scheduler used for the deployment with the Keptn Scheduler. The webhook then creates a workload and app resource per annotated resource. You can also specify a custom app definition with the annotation:
keptn.sh/app: "your-app-name"In this case the webhook does not generate an app,
but it expects that the user will provide one.
Additionally, it computes a version string,
using a hash function that takes certain properties of the pod as parameters
(e.g. the images of its containers).
Next, it looks for an existing instance of a Workload CRD
for the specified workload name:
- If it finds the
Workload, it updates its version according to the previously computed version string. In addition, it includes a reference to the ReplicaSet UID of the pod (i.e. the Pods owner), or the pod itself, if it does not have an owner. - If it does not find a workload instance, it creates one containing the previously computed version string. In addition, it includes a reference to the ReplicaSet UID of the pod (i.e. the Pods owner), or the pod itself, if it does not have an owner.
It uses the following annotations for the specification
of the pre/post deployment checks that should be executed for the Workload:
keptn.sh/pre-deployment-tasks: task1,task2keptn.sh/post-deployment-tasks: task1,task2
and for the Evaluations:
keptn.sh/pre-deployment-evaluations: my-evaluation-definitionkeptn.sh/post-deployment-evaluations: my-eval-definition
After either one of those actions has been taken, the webhook sets the scheduler of the pod and allows the pod to be scheduled.
After the Webhook mutation, the Keptn-Scheduler handles the annotated resources. The scheduling flow follows the default scheduler behavior, since it implements a scheduler plugin based on the scheduling framework. For each pod, at the very end of the scheduling cycle, the plugin verifies that the pre deployment checks have terminated by retrieving the current status of the WorkloadInstance. Only when that is successful is the pod bound to a node.
The GitHub CLI can be used to download the manifests of the latest CI build.
gh run list --repo keptn/lifecycle-toolkit # find the id of a run
gh run download 3152895000 --repo keptn/lifecycle-toolkit # download the artifacts
kubectl apply -f ./keptn-lifecycle-operator-manifest/release.yaml # install the lifecycle-operator
kubectl apply -f ./scheduler-manifest/release.yaml # install the schedulerInstead, if you want to build and deploy the operator into your cluster directly from the code, you can type:
RELEASE_REGISTRY=<YOUR_DOCKER_REGISTRY>
# (optional)ARCH=<amd64(default)|arm64v8>
# (optional)CHART_APPVERSION=<YOUR_PREFERRED_TAG (defaulting to current time)>
# Build and deploy the dev images to the current kubernetes cluster
make build-deploy-dev-environmentPlease find more information in the LICENSE file.
Made with contrib.rocks.
