Kontinuous - The Kubernetes Continuous Integration & Delivery Platform

Are you sick of having to deal with Jenkins and its plugins? Getting a headache from trying to get your builds working in Kubernetes? Kontinuous is here to save the day!

Kontinuous is a Continuous Integration & Delivery pipeline tool built specifically for Kubernetes. It aims to provide a platform for building and deploying applications using native Kubernetes Jobs and Pods.

This is a Work In Progress designed to gather feedback from the community so has fairly basic functionality. Please file Issues (or better yet PRs!) so we can build the 👌 CI/CD platform for K8s

Features

Kontinuous currently offers the following features:

• A simple Kubernetes-like spec for declaring delivery pipelines
• Flexible stages - Command execution, Docker builds and publishing to local or remote registries
• Integration with Github for builds and status
• Slack notifications
• A CLI tool for querying pipelines, build status and logs

We've got lots more planned, see the Roadmap or Github issues to get in on the action!

Running Kontinuous

Getting Started

Before running Kontinuous, it needs to be added as a github OAuth Application here. The Client ID and Client Secret will be used in running Kontinuous.

The kubernetes-cli can bootstrap a kontinuous setup on a running Kubernetes cluster. This requires kubectl to be in the PATH and configured to access the cluster.

$ kontinuous-cli --namespace {namespace} \
    --auth-secret {base64 encoded secret} \
    --github-client-id {github client id} \
    --github-client-secret {github client secret}

Parameters:

This will launch kontinuous via the locally configured kubectl in the given namespace together with etcd, minio, a docker registry, and kontinuous-ui. This expects that the kubernetes cluster supports the LoadBalancer service.

Once a public IP for kontinuous-ui is available, the Github OAuth Application settings needs to be modified to reflect the actual IP address of kontinuous-ui for the Homepage and Callback URL.

Alternatively, for more customization, a sample yaml file for running kontinuous and its dependencies in Kubernetes can be found here. More details can be found here.

Once running, add a .pipeline.yml to the root of your Github repo and configure the webhooks.

Example pipelines can be found in /examples

The CLI client or API can be used to view build status or logs.

Pipeline Specification

Pipeline specification should be at the root directory of the repository. This defines the stages of the builds. More details about pipeline spec creation can be found here.

---
kind: Pipeline
apiVersion: v1alpha1
metadata:
  name: kontinuous
  namespace: acaleph
spec:
  selector:
    matchLabels:
      app: kontinuous
      type: ci-cd
  template:
    metadata:
      name: kontinuous
      labels:
        app: kontinuous
        type: ci-cd
    notif:
      - type: slack
    secrets:
      - notifcreds
      - docker-credentials
    stages:
      - name: Build Docker Image
        type: docker_build

This example only has one stage, build a docker image.

Clients

There are two clients currently available:

Kontinuous CLI

The CLI tool is the one that is used in the gettings started section. It can bootstrap Kontinuous to a running Kubernetes Cluster and can access details on Kontinuous pipelines and builds.

More info about the CLI can be found here and the binary can be downloaded here.

Kontinuous UI

Kontinuous UI is a web based client for Kontinuous. Bootstrapping Kontinuous using the CLI will install the UI on the Kubernetes Cluster too. More info about the UI can be found here.

API

Kontinuous is accessible from it's API and docs can be viewed via Swagger. More details about using the API and Authentication can be found here.

Development

Building kontinuous from source is done by:

$ make deps build

Build the docker image:

$ docker build -t {tag} .

Roadmap

• More stage types - wait/approvals, vulnerability/security testing, container slimming, load testing, deploy tools (Helm, DM, KPM, etc)
• Full stack tests - Spin up full environments for testing
• Advanced branch testing - Review/Sandbox environments
• Metrics - Compare build performance
• Notification service integration - Email, hipchat, etc
• Web based management Dashboard