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Skuber

Skuber is a Scala client library for Kubernetes. It provides a fully featured, high-level and strongly typed Scala API for managing Kubernetes cluster resources (such as Pods, Services, Deployments, ReplicaSets, Ingresses etc.) via the Kubernetes REST API server.

Features

  • Comprehensive support for Kubernetes API model represented as Scala case classes
  • Support for core, extensions and other Kubernetes API groups
  • Full support for converting resources between the case class and standard JSON representations
  • Client API for creating, reading, updating, removing, listing and watching resources on a Kubernetes cluster
  • The API is asynchronous and strongly typed e.g. k8s get[Deployment]("nginx") returns a value of type Future[Deployment]
  • Fluent API for building Kubernetes resources
  • Uses standard kubeconfig files for configuration - see the configuration guide for details
  • Allows users to select one of two concrete Kubernetes client implementations, one uses Pekko while the other uses Akka, with full feature parity and API compatibility.

See the latest programming guide for more details.

A note for Skuber 2 users

For users of Skuber 2, the key updates in this latest version (Skuber 3) are outlined in the migration guide. An important change worth highlighting here is that the required dependency on Akka in Skuber 2 has been replaced by a configurable dependency on either Pekko or Akka - see the migration guide for more details.

Prerequisites

A Kubernetes cluster is needed at runtime. For local development purposes, kind is recommended.

Quickstart

Running a Skuber application

The best first step to get started with Skuber is to run one or more of the integration tests against a cluster. There are equivalent integration tests for both the Pekko and Akka clients. To run some integration test locally:

  • Ensure you have sbt installed

  • Clone this repository.

  • Configure KUBECONFIG environment variable to point at your cluster configuration file per normal Kubernetes requirements - for example this could be a kind cluster running on your laptop.

  • Run one or more of the tests, for example:

    sbt:root> integration / testOnly *PekkoDeploymentSpec*

In this case the code is simply manipulating deployments, but there are a variety of other tests that demonstrate more of the Skuber API for both the Pekko and Akka based Skuber clients.

Creating a Skuber application

Configuring the build

to create an application that uses Skuber, you should start by adding the required dependencies to the project build file - example using sbt:

libraryDependencies += "io.skuber" %% "skuber-core" % "3.0.0"
libraryDependencies += "io.skuber" %% "skuber-pekko" % "3.0.0"

The above dependencies enable your application to create and use a Skuber client that is implemented using Pekko, this is the default recommended configuration.

Implementing An Example

This example lists pods in kube-system namespace.

# Pekko client specific required imports
import org.apache.pekko.actor.ActorSystem
import skuber.pekkoclient._

# Core skuber imports
import skuber.model._
import skuber.json.format._

import scala.util.{Success, Failure}

implicit val system = ActorSystem()
implicit val dispatcher = system.dispatcher

val k8s = k8sInit // initializes Skuber Pekko client
val listPodsRequest = k8s.listInNamespace[PodList]("kube-system")
listPodsRequest.onComplete {
  case Success(pods) => pods.items.foreach { p => println(p.name) }
  case Failure(e) => throw(e)
}

The k8sInit call returns a concrete Skuber client which is then used to make the requests to the Kubernetes cluster API.

Using the Akka client

The section above shows how to to use a Skuber client that is based on Pekko, which is likely to be the most common case. However you can instead use an Akka-based client here if desired by making a few simple changes.

For most Skuber 3 users it is strongly recommended to use the Pekko client in order to avoid Akka BSL license implications. Only use the Akka client if you are certain the license implications for your use case are understood.

To use the Akka-based Skuber client instead of the Pekko one, you just need to make some small build dependency and import changes:

libraryDependencies += "io.skuber" %% "skuber-core" % "3.0.0"
libraryDependencies += "io.skuber" %% "skuber-akka-bsl" % "3.0.0"
 # Akka client specific required imports
 import akka.actor.ActorSystem
 import skuber.akkaclient._

 // the rest of the code should look just the same as the Pekko example

Building

Building the library from source is very straightforward. Simply run sbt test in the root directory of the project to build the libraries (and examples) and run the unit tests to verify the build. You can then run the integration tests as outlined here.

License

This code is licensed under the Apache V2.0 license, a copy of which is included here.

Legacy Support

Users of Skuber 2 can still use it with the following dependency:

libraryDependencies += "io.skuber" %% "skuber" % "2.6.8"

Skuber 2.x supports Scala 2.12 and 2.13 and has a required transitive dependency on an older, Apache 2.0 licensed version of Akka (2.6.x).

And if you do still need Skuber 2, the Skuber 2 programming guide is still available.

However Skuber is a small open-source project and as such we need to prioritise where effort is being spent. The main effort will be on improving Skuber 3 going forward, and therefore Skuber 2 is basically now in a lower priority maintenance mode, which means:

  • pull requests for Skuber 2 with small but important fixes and key dependency updates are likely to still be accepted
  • pull requests for minor enhancements to Skuber 2 will be considered
  • major enhancements should be targeted in the first place at Skuber 3, and backported to Skuber 2 only by exception.
  • future releases of Skuber 2 are likely to be less frequent than future releases of Skuber 3, although exceptions may be made for security and other urgent fixes.

In general users are strongly encouraged to migrate to Skuber 3 at the earliest opportunity for the latest releases and best support going forward.

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