sbt-kubeyml

An sbt plugin to generate typesafe kubernetes deployment plans for scala projects

Deployment plugin

Add the plugin to your plugins.sbt

addSbtPlugin("org.vaslabs.kube" % "sbt-kubeyml" % "0.4.1")

Add the plugin in your project and enable it

enablePlugins(KubeDeploymentPlugin)

The plugin depends on DockerPlugin from sbt-native-packager

enablePlugins(DockerPlugin)

Try to run

kubeyml:gen

Properties

sbt key	description	default
namespace	The kubernetes namespace of the deployment	Default value is project name
application	The name of the deployment	Default value is project name
dockerImage	The docker image to deploy in a single container	Default is the picked from sbt-native-packager
ports	List of container ports optionally tagged with name	dockerExposedPorts from docker plugin
livenessProbe	Healthcheck probe	`HttpProbe(HttpGet("/health", 8080, List.empty), 0 seconds, 1 second, 10 seconds, 3, 1)`
readinessProbe	Probe to check when deployment is ready to receive traffic	livenessProbe
annotations	`Map[String, String]` for spec template annotations (e.g. aws roles)	empty
replicas	the number of replicas to be deployed	2
imagePullPolicy	Image pull policy for kubernetes, set to IfNotPresent or Always	IfNotPresent
command	Command for the container	empty
args	arguments for the command	empty Seq
envs	Map of environment variables, raw, field path or secret are supported	empty
resourceRequests	Resource requests (cpu in the form of m, memory in the form of MiB	`Resource(Cpu(100), Memory(256))`
resourceLimits	Resource limits (cpu in the form of m, memory in the form of MiB	`Resource(Cpu(1000), Memory(512))`
target	The directory to output the deployment.yml	target in ThisProject / kubeyml
deployment	The key to access the whole Deployment definition, exposed for further customisation	Instance with above defaults
persistentVolumes	Persistent volumes that should be used by deployment pods	empty Seq

Recipes

Single namespace, two types of deployments with secret and dependency

import kubeyml.deployment._
import kubeyml.deployment.api._
import kubeyml.deployment.plugin.Keys._

lazy val deploymentName = sys.env.getOrElse("DEPLOYMENT_NAME", "myservice-test")
lazy val secretsName = sys.env.getOrElse("SECRETS_NAME", "myservice-test-secrets")
lazy val serviceDependencyConnection = sys.env.getOrElse("MY_DEPENDENCY", "https://localhost:8080")

lazy val deploymentSettings = Seq(
  kube / namespace := "my-namespace", //default is ThisProject / name 
  kube / application := deploymentName, //default is ThisProject / name
  kube / command := Some("webserver"),
  kube / args := Seq("-c","/path/to/config"),
  kube / envs := Map(
    EnvName("JAVA_OPTS") -> EnvRawValue("-Xms256M -Xmx2048M"),
    EnvName("MY_DEPENDENCY_SERVICE") -> EnvRawValue(serviceDependencyConnection),
    EnvName("MY_SECRET_TOKEN") -> EnvSecretValue(name = secretsName, key = "my-token")
  ),
  kube / resourceLimits := Resource(Cpu.fromCores(2), Memory(2048+512)),
  kube / resourceRequests := Resource(Cpu(500), Memory(512)),
  //if you want you can use something like the below to modify any part of the deployment by hand
  kube / deployment := (kube / deployment).value.pullDockerImage(IfNotPresent)
)

Gitlab CI/CD usage (followup from previous)

stages:
  - publish-image
  - deploy

.publish-template:
  stage: publish-image
  script:
      - sbt docker:publish
      - sbt kubeyml:gen
  artifacts:
      untracked: false
      paths:
        - target/kubeyml/deployment.yml

.deploy-template:
  stage: deploy
  image: docker-image-that-has-your-kubectl-config
  script:
     - kubectl apply -f target/kubeyml/deployment.yml

publish-test:
  before_script:
      export MY_DEPENDENCY=${MY_TEST_DEPENDENCY}
  extends: .publish-template

deploy-test:
  extends: .deploy-template
  dependencies:
     - publish-test

publish-prod:
  before_script:
    - export MY_DEPENDENCY=${MY_PROD_DEPENDENCY}
    - export SECRETS_NAME=${MY_PROD_SECRET_NAME}
    - export DEPLOYMENT_NAME=my-service-prod
  extends: .publish-template

deploy-prod:
  extends: .deploy-template
  dependencies:
   - publish-prod

Service plugin

This plugin depends on the deployment plugin and every property is derived from that.

There's some room for customisation.

enablePlugins(KubeServicePlugin)

Then your gitlab publish template will look like (example extended from above)

.publish-template:
  stage: publish-image
  script:
      - sbt docker:publish
      - sbt kubeyml:gen
  artifacts:
      untracked: false
      paths:
        - target/kubeyml/deployment.yml
        - target/kubeyml/service.yml

And deploy with

.deploy-template:
  stage: deploy
  image: docker-image-that-has-your-kubectl-config
  script:
     - kubectl apply -f target/kubeyml/deployment.yml     
     - kubectl apply -f target/kubeyml/service.yml

Properties

sbt key	description	default
portMappings	Port mappings against the deployment (service to pod)	Derived from deployment
service	Key configuration for modifying the service properties	Derived from deployment

Ingress Plugin

This plugin depends on the service plugin. It provides some safety nets to make sure the service name and service ports are mapped properly to the ingress configuration.

To extend on the above, you can configure ingress generation with the following steps.

Enable the plugin

enablePlugins(KubeIngressPlugin)

Set an ingress name and a hostname

lazy val ingressEnvName = sys.env.getOrElse("HELLO_INGRESS_NAME", "helloworld-ingress-test")

lazy val hostName = sys.env.getOrElse("YOUR_HOST_NAME", "your-hostname.yourdomain.smth")

Configure the plugin

  import kubeyml.protocol.{NonEmptyString, Host}
  import kubeyml.deployment.plugin.Keys._
  import kubeyml.ingress.api._

  import kubeyml.ingress.plugin.Keys._
  import kubeyml.service.plugin.Keys._
  import kubeyml.ingress.{HttpRule, ServiceMapping, Path => IngressPath}
  
  val ingressSettings = Seq(
      (kube / ingressName) := ingressEnvName,
      (kube / ingressRules) := List(
        HttpRule(Host(hostName), List(
          IngressPath(ServiceMapping((kube / service).value.name, 8085), "/hello-world")
        ))
      ),
      (kube / ingressAnnotations) := Map(
        Annotate.nginxIngress(), // this adds kubernetes.io/ingress.class: nginx
        Annotate.nginxRewriteTarget("/hello-world"), //this adds nginx.ingress.kubernetes.io/rewrite-target: /hello-world
        NonEmptyString("your-own-annotation-key") -> "value"
      )
    )

The command to generate the ingress is the same kubeyml:gen which will generate 3 yml files.

Gitlab CI extension

Potentially the CI configuration evolves to

.publish-template:
  stage: publish-image
  script:
      - sbt docker:publish
      - sbt kubeyml:gen
  artifacts:
      untracked: false
      paths:
        - target/kubeyml/deployment.yml
        - target/kubeyml/service.yml
        - target/kubeyml/ingress.yml
.deploy-template:
  stage: deploy
  image: docker-image-that-has-your-kubectl-config
  script:
     - kubectl apply -f target/kubeyml/deployment.yml
     - kubectl apply -f target/kubeyml/service.yml
     - kubectl apply -f target/kubeyml/ingress.yml

Properties

sbt key	description	default
ingressRules	A list of Rules (currently only supports HttpRule	N/A
ingressName	The name of the ingress	The application name from deployment
ingress	Key configuration for modifying the ingress properties	Some values are derived from service

vaslabs / sbt-kubeyml Goto Github PK

sbt-kubeyml's Introduction

sbt-kubeyml

Deployment plugin

Add the plugin to your plugins.sbt

Properties

Recipes

Single namespace, two types of deployments with secret and dependency

Gitlab CI/CD usage (followup from previous)

Service plugin

Properties

Ingress Plugin

Gitlab CI extension

Properties

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