此内容没有您所选择的语言版本。

Chapter 7. Accessing Kafka using Skupper


Use public cloud resources to process data from a private Kafka cluster

This example is part of a suite of examples showing the different ways you can use Skupper to connect services across cloud providers, data centers, and edge sites.

Overview

This example is a simple Kafka application that shows how you can use Skupper to access a Kafka cluster at a remote site without exposing it to the public internet.

It contains two services:

  • A Kafka cluster named "cluster1" running in a private data center. The cluster has a topic named "topic1".
  • A Kafka client running in the public cloud. It sends 10 messages to "topic1" and then receives them back.

To set up the Kafka cluster, this example uses the Kubernetes operator from the Strimzi project. The Kafka client is a Java application built using Quarkus.

The example uses two Kubernetes namespaces, "private" and "public", to represent the private data center and public cloud.

Prerequisites

Procedure

  • Clone the repo for this example.
  • Install the Skupper command-line tool
  • Set up your namespaces
  • Deploy the Kafka cluster
  • Create your sites
  • Link your sites
  • Expose the Kafka cluster
  • Run the client

    1. Clone the repo for this example. Navigate to the appropriate GitHub repository from https://skupper.io/examples/index.html and clone the repository.
    2. Install the Skupper command-line tool

      This example uses the Skupper command-line tool to deploy Skupper. You need to install the skupper command only once for each development environment.

      See the Installation for details about installing the CLI. For configured systems, use the following command:

      sudo dnf install skupper-cli
    3. Set up your namespaces

      Skupper is designed for use with multiple Kubernetes namespaces, usually on different clusters. The skupper and kubectl commands use your kubeconfig and current context to select the namespace where they operate.

      Your kubeconfig is stored in a file in your home directory. The skupper and kubectl commands use the KUBECONFIG environment variable to locate it.

      A single kubeconfig supports only one active context per user. Since you will be using multiple contexts at once in this exercise, you need to create distinct kubeconfigs.

      For each namespace, open a new terminal window. In each terminal, set the KUBECONFIG environment variable to a different path and log in to your cluster. Then create the namespace you wish to use and set the namespace on your current context.

      Note

      The login procedure varies by provider. See the documentation for yours:

      Public:

      export KUBECONFIG=~/.kube/config-public
      # Enter your provider-specific login command
      kubectl create namespace public
      kubectl config set-context --current --namespace public

      Private:

      export KUBECONFIG=~/.kube/config-private
      # Enter your provider-specific login command
      kubectl create namespace private
      kubectl config set-context --current --namespace private
    4. Deploy the Kafka cluster

      In Private, use the kubectl create and kubectl apply commands with the listed YAML files to install the operator and deploy the cluster and topic.

      Private:

      kubectl create -f server/strimzi.yaml
      kubectl apply -f server/cluster1.yaml
      kubectl wait --for condition=ready --timeout 900s kafka/cluster1

      Sample output:

      $ kubectl create -f server/strimzi.yaml
      customresourcedefinition.apiextensions.k8s.io/kafkas.kafka.strimzi.io created
      rolebinding.rbac.authorization.k8s.io/strimzi-cluster-operator-entity-operator-delegation created
      clusterrolebinding.rbac.authorization.k8s.io/strimzi-cluster-operator created
      rolebinding.rbac.authorization.k8s.io/strimzi-cluster-operator-topic-operator-delegation created
      customresourcedefinition.apiextensions.k8s.io/kafkausers.kafka.strimzi.io created
      customresourcedefinition.apiextensions.k8s.io/kafkarebalances.kafka.strimzi.io created
      deployment.apps/strimzi-cluster-operator created
      customresourcedefinition.apiextensions.k8s.io/kafkamirrormaker2s.kafka.strimzi.io created
      clusterrole.rbac.authorization.k8s.io/strimzi-entity-operator created
      clusterrole.rbac.authorization.k8s.io/strimzi-cluster-operator-global created
      clusterrolebinding.rbac.authorization.k8s.io/strimzi-cluster-operator-kafka-broker-delegation created
      rolebinding.rbac.authorization.k8s.io/strimzi-cluster-operator created
      clusterrole.rbac.authorization.k8s.io/strimzi-cluster-operator-namespaced created
      clusterrole.rbac.authorization.k8s.io/strimzi-topic-operator created
      clusterrolebinding.rbac.authorization.k8s.io/strimzi-cluster-operator-kafka-client-delegation created
      clusterrole.rbac.authorization.k8s.io/strimzi-kafka-client created
      serviceaccount/strimzi-cluster-operator created
      clusterrole.rbac.authorization.k8s.io/strimzi-kafka-broker created
      customresourcedefinition.apiextensions.k8s.io/kafkatopics.kafka.strimzi.io created
      customresourcedefinition.apiextensions.k8s.io/kafkabridges.kafka.strimzi.io created
      customresourcedefinition.apiextensions.k8s.io/kafkaconnectors.kafka.strimzi.io created
      customresourcedefinition.apiextensions.k8s.io/kafkaconnects2is.kafka.strimzi.io created
      customresourcedefinition.apiextensions.k8s.io/kafkaconnects.kafka.strimzi.io created
      customresourcedefinition.apiextensions.k8s.io/kafkamirrormakers.kafka.strimzi.io created
      configmap/strimzi-cluster-operator created
      
      $ kubectl apply -f server/cluster1.yaml
      kafka.kafka.strimzi.io/cluster1 created
      kafkatopic.kafka.strimzi.io/topic1 created
      
      $ kubectl wait --for condition=ready --timeout 900s kafka/cluster1
      kafka.kafka.strimzi.io/cluster1 condition met

      NOTE:

      By default, the Kafka bootstrap server returns broker addresses that include the Kubernetes namespace in their domain name. When, as in this example, the Kafka client is running in a namespace with a different name from that of the Kafka cluster, this prevents the client from resolving the Kafka brokers.

      To make the Kafka brokers reachable, set the advertisedHost property of each broker to a domain name that the Kafka client can resolve at the remote site. In this example, this is achieved with the following listener configuration:

      spec:
        kafka:
          listeners:
            - name: plain
              port: 9092
              type: internal
              tls: false
              configuration:
                brokers:
                  - broker: 0
                    advertisedHost: cluster1-kafka-0.cluster1-kafka-brokers

      See Advertised addresses for brokers for more information.

    5. Create your sites

      A Skupper site is a location where components of your application are running. Sites are linked together to form a network for your application. In Kubernetes, a site is associated with a namespace.

      For each namespace, use skupper init to create a site. This deploys the Skupper router and controller. Then use skupper status to see the outcome.

      Public:

      skupper init
      skupper status

      Sample output:

      $ skupper init
      Waiting for LoadBalancer IP or hostname...
      Waiting for status...
      Skupper is now installed in namespace 'public'.  Use 'skupper status' to get more information.
      
      $ skupper status
      Skupper is enabled for namespace "public". It is not connected to any other sites. It has no exposed services.

      Private:

      skupper init
      skupper status

      Sample output:

      $ skupper init
      Waiting for LoadBalancer IP or hostname...
      Waiting for status...
      Skupper is now installed in namespace 'private'.  Use 'skupper status' to get more information.
      
      $ skupper status
      Skupper is enabled for namespace "private". It is not connected to any other sites. It has no exposed services.

      As you move through the steps below, you can use skupper status at any time to check your progress.

    6. Link your sites

      A Skupper link is a channel for communication between two sites. Links serve as a transport for application connections and requests.

      Creating a link requires use of two skupper commands in conjunction, skupper token create and skupper link create.

      The skupper token create command generates a secret token that signifies permission to create a link. The token also carries the link details. Then, in a remote site, The skupper link create command uses the token to create a link to the site that generated it.

      Note

      The link token is truly a secret. Anyone who has the token can link to your site. Make sure that only those you trust have access to it.

      First, use skupper token create in site Public to generate the token. Then, use skupper link create in site Private to link the sites.

      Public:

      skupper token create ~/secret.token

      Sample output:

      $ skupper token create ~/secret.token
      Token written to ~/secret.token

      Private:

      skupper link create ~/secret.token

      Sample output:

      $ skupper link create ~/secret.token
      Site configured to link to https://10.105.193.154:8081/ed9c37f6-d78a-11ec-a8c7-04421a4c5042 (name=link1)
      Check the status of the link using 'skupper link status'.

      If your terminal sessions are on different machines, you may need to use scp or a similar tool to transfer the token securely. By default, tokens expire after a single use or 15 minutes after creation.

    7. Expose the Kafka cluster

      In Private, use skupper expose with the --headless option to expose the Kafka cluster as a headless service on the Skupper network.

      Then, in Public, use the kubectl get service command to check that the cluster1-kafka-brokers service appears after a moment.

      Private:

      skupper expose statefulset/cluster1-kafka --headless --port 9092

      Sample output:

      $ skupper expose statefulset/cluster1-kafka --headless --port 9092
      statefulset cluster1-kafka exposed as cluster1-kafka-brokers

      Public:

      kubectl get service/cluster1-kafka-brokers

      Sample output:

      $ kubectl get service/cluster1-kafka-brokers
      NAME                     TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)    AGE
      cluster1-kafka-brokers   ClusterIP   None         <none>        9092/TCP   2s
    8. Run the client

      Use the kubectl run command to execute the client program in Public.

      Public:

      kubectl run client --attach --rm --restart Never --image quay.io/skupper/kafka-example-client --env BOOTSTRAPSERVERS=cluster1-kafka-brokers:9092

      Sample output:

      $ kubectl run client --attach --rm --restart Never --image quay.io/skupper/kafka-example-client --env BOOTSTRAPSERVERS=cluster1-kafka-brokers:9092
      [...]
      Received message 1
      Received message 2
      Received message 3
      Received message 4
      Received message 5
      Received message 6
      Received message 7
      Received message 8
      Received message 9
      Received message 10
      Result: OK
      [...]

      To see the client code, look in the client directory of this project.

Red Hat logoGithubRedditYoutubeTwitter

学习

尝试、购买和销售

社区

关于红帽文档

通过我们的产品和服务,以及可以信赖的内容,帮助红帽用户创新并实现他们的目标。

让开源更具包容性

红帽致力于替换我们的代码、文档和 Web 属性中存在问题的语言。欲了解更多详情,请参阅红帽博客.

關於紅帽

我们提供强化的解决方案,使企业能够更轻松地跨平台和环境(从核心数据中心到网络边缘)工作。

© 2024 Red Hat, Inc.