cluster-mgmt-service

A service that manages Kubernetes cluster creation and initial configuration, deletion and monitoring.

Clusters are bootstrapped using RKE by submitting a request with the desired cluster name and the list of hostnames where the cluster will reside. A successful bootstrap request will result in a Kubernetes cluster on the provided hosts and Managed Resources being deployed to that cluster (a service account and a namespace). A Cluster bootstrap request also generates a kubeconfig file to interact with the cluster.

Managed Resources are able to be deployed individually as well as they can be any Kubernetes yaml that can be applied.

This service uses a directory to store and manage the state of Clusters and Managed Resources for an environment. This directory is configurable through the environment variable CONFIG_LOCATION and should be treated as persistent storage as it is the source of truth for Clusters and Managed Resources.

Endpoints

POST    /environment/{envName}/cluster Bootstraps a cluster.
DELETE  /environment/{envName}/cluster/{clusterName} Deletes a cluster.
GET     /environment/{envName}/cluster/{clusterName} Retrieves a cluster
GET     /environment/{envName}/cluster/{clusterName}/kubeconfig/customer Retrieves a kubeconfig file for cluster interation.
GET     /environment/{envName}/cluster/{clusterName}/resource Retrieves all Managed Resource for a cluster
POST    /environment/{envName}/cluster/{clusterName}/resource Creates a Managed Resource
DELETE  /environment/{envName}/cluster/{clusterName}/resource/{resourceName} Deletes a Managed Resource
GET     /environment/{envName}/cluster/{clusterName}/resource/{resourceName} Retrieves a specific Managed Resource
GET     /swagger Swagger UI
GET     /swagger.{type:json|yaml} Swagger Spec

Configuration

Internal and external services are configured by extending the Dropwizard application configuration with additional settings. An environment variable parser is used to allow configuration settings to be overridden at runtime. These configuration options can be seen in the app config file.

Local development

Gradle builds

This project uses gradle for building and testing. We also use the gradle wrapper to avoid downloading a local distribution. The commands below are helpful for building and testing.

./gradlew build compile and build the application
./gradlew check run static code analysis and test the application
./gradlew shadowJar builds a fat jar that can be used to run the Dropwizard application
./gradlew buildClient generates the API client code for the Dropwizard application
./gradlew publishToMavenLocal publishes any local artifacts to the local .m2 repository

After you have generated the fat jar you can run your application with java using:

java -jar build/libs/cluster-mgmt-service-1.0.0-SNAPSHOT-all.jar

Docker builds

We strive to have our builds repeatable across development environments so we also provide a Docker build to generate the Dropwizard application container. The examples below should be executed from the root of the project.

Running the base docker build:

docker run --target build .

Generating the Dropwizard application docker image:

docker run -t cluster-mgmt-service --target package .

Using the API client

This application generates a client for the Dropwizard application by using the swagger specification. The maven asset is available in JCenter, make sure you include the JCenter repository (https://jcenter.bintray.com/) when pulling this client. To use the client provide the following dependency in your project:

Gradle:

implementation 'io.cratekube:cluster-mgmt-service:1.0.0'

Maven:

<dependency>
  <groupId>io.cratekube</groupId>
  <artifactId>cluster-mgmt-service</artifactId>
  <version>1.0.0</version>
</dependency>

API Documentation

The API docs for this project are powered by the Swagger Specification. After starting up the application the available APIs can be found at http://localhost:<configured port>/swagger

Contributing

If you are interesting in contributing to this project please read the contribution and pull request guidelines. Thank you for your interest in CrateKube!

danielfoglio/cluster-mgmt-service