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README.md

Flink on Native Azure Kubernetes

Kubernetes is a popular container-orchestration system for automating computer application deployment, scaling, and management. Flink’s native Kubernetes integration allows you to directly deploy Flink on a running Kubernetes cluster. Moreover, Flink is able to dynamically allocate and de-allocate TaskManagers depending on the required resources because it can directly talk to Kubernetes.

This tutorial will show how to deploy Apache Flink natively on Azure Kubernetes.

Prerequisites

Basic:

Azure:

Flink:

Build Flink Job

Build your flink job with Maven

mvn clean package

Create and Publish the Docker image to Azure Container Registry

The Flink community provides a base Docker image which can be used to bundle the user code:

ARG java_version=java8
ARG scala_version=scala_2.12
ARG flink_version=1.15.0
FROM flink:$flink_version-$scala_version-$java_version

ARG artifact_id=flink-example
ARG version=1.0-SNAPSHOT

RUN mkdir -p $FLINK_HOME/usrlib
COPY target/$artifact_id-$version.jar $FLINK_HOME/usrlib/$artifact_id-$version.jar

And you can build image and publish it into Azure Container Registry

az acr login --name $(registry)

docker build --no-cache -t $(registry).azurecr.io/$(artifact_id):$(version) .
docker push $(registry).azurecr.io/$(artifact_id):$(version)

Deploy Flink Job on Azure Kubernetes (Application mode)

get kubeconfig use Azure CLI:

az aks get-credentials --resource-group $RESOURCE_GROUP --name $CLUSTER

create role & rolebinding to your default service account


kubectl create role flink-role --verb=get --verb=list --verb=watch --verb=create --verb=update --verb=patch --verb=delete  --resource=pods,services,deployments,namespaces --namespace=$(namespace)

kubectl create rolebinding flink-rolebinding --role=flink-role --serviceaccount=$(namespace):default --namespace=$(namespace)

create secret for accessing Azure Container Registry:

kubectl create secret docker-registry $(registry)-secret \
    --docker-server=$(registry).azurecr.io \
    --docker-username=$(registry_password) \
    --docker-password=$(registry_password) \
    --namespace=$(namespace)

deploy Flink job with native k8s application mode through Flink CLI:

tar -zxvf flink-1.15.0-bin-scala_2.12.tgz
cd flink-1.15.0/
/bin/flink run-application \
  --target kubernetes-application \
  -Dkubernetes.namespace=$(namespace) \
  -Dkubernetes.cluster-id=$(artifact_id) \
  -Dkubernetes.container.image=$(registry).azurecr.io/$(artifact_id) \
  -Dkubernetes.container.image.pull-secrets=$(registry)-secret \
  -Dkubernetes.container.image.pull-policy=Always \
  local:///opt/flink/usrlib/$artifact_id-$version.jar

You could access Flink Web UI through

kubectl port-forward svc/$artifact_id-rest 8081 -n flink

and access http://localhost:8081

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