Aptomi/k8s-app-engine — 164 Stars

Topics

#container-orchestration #containers #continuous-delivery #dev #docker #go #helm #kubernetes #microservices #ops

Language breakdown

Go 76.6%

Vue 9.2%

Shell 7.9%

JavaScript 5.3%

Makefile 0.6%

Dockerfile 0.2%

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README

Engine for development teams that simplifies the roll-out and operation of container-based applications on Kubernetes. It introduces a service-centric abstraction, which allows users to compose applications from multiple connected components. It supports components packaged using Helm, ksonnet, k8s YAMLs, and any other Kubernetes-friendly way!

This approach to application delivery becomes especially powerful in a multi-team setup, where components owned by different teams must be put together into a service. With ownership boundaries, Dev teams can specify multi-cluster and multi-env (e.g. dev, stage, prod) service behavior, as well as control the lifecycle and updates of their respective services.

It also provides contextual visibility into teams and services, allowing our users to visualize complex dependencies and accurately assess the impact of changes.

Overview

You can also read this blog post about the project.

Demos

Asciinema

Installation - https://asciinema.org/a/163250
Point to Kubernetes cluster - https://asciinema.org/a/163252
Defining & running applications - https://asciinema.org/a/163258
Updating a service instance - https://asciinema.org/a/163262
Deleting service instances - https://asciinema.org/a/163269

Youtube

Detailed Demo - http://www.youtube.com/watch?v=HL4RwoBnuTc
OpenDev CI/CD 2018 (Vancouver) - https://www.youtube.com/watch?v=GVB3kKocKi4

Why?

Why would I want to use it as a Developer?
Why would I want to use it as an Operator?
How does it fit into CI/CD model with Spinnaker/Jenkins?
Why would I want to use it if I'm already implementing Kubernetes/OpenShift?

Quickstart

Step #1: Installation

The simplest installation mode is Compact, but you may pick one that suits your needs:

Installation Mode | Complexity | Description ----------------------|------------|------------- Compact | Easy | Installation on local machine (binaries or in a single Docker container) Kubernetes | Medium | Deployed to k8s via Helm chart

You can also install it in a stripped-down mode with a fake executor:

Installation Mode | Complexity | Description ----------------------|------------|------------- Concepts | Easy | Use this only if you want get familiar with the key concepts, API and UI. App deployment to k8s is DISABLED

Step #2: Setting up k8s Cluster

You will need to have access to a k8s cluster to deploy apps from the provided examples.

Having a powerful k8s cluster with a good internet connection will definitely provide a better experience compared to a local, single-node k8s cluster. We consider GKE to be the best option if you don't have your own k8s cluster.

Kubernetes Cluster | When to use | How to run ------------|-----------------|----------- Your own | If you already have a k8s cluster set up | Configure on existing k8s cluster Google Kubernetes Engine | If you have a Google account and free credits | Configure on GKE k8s / Minikube | Single-node, local machine with 16GB+ RAM | Configure on Minikube k8s / Docker For Mac | Single-node, local machine with 16GB+ RAM | Configure on Docker For Mac

Step #3: Running Examples

Once the server is up and your k8s cluster is ready, you can get started by running the following examples:

Example | Description -----------|------------ twitter-analytics | Twitter Analytics Application, multiple services, multi-cloud, based on Helm twitter-analytics-with-concourse-ci | Twitter Analytics Application, integrated with Concourse CI/CD pipelines guestbook | K8S Guestbook Application, multi-cloud, based on K8S YAMLs