Apache Kafka Broker

The Apache Kafka Broker is a native Broker implementation, that reduces network hops, supports any Kafka version, and has a better integration with Apache Kafka for the Knative Broker and Trigger model.

Notable features are:

• Control plane High Availability
• Horizontally scalable data plane
• Extensively configurable
• Ordered delivery of events based on CloudEvents partitioning extension
• Support any Kafka version, see compatibility matrix

Prerequisites

Knative Eventing installation.

Installation

1. Install the Kafka broker by entering the following command:

   kubectl apply --filename https://github.com/knative-sandbox/eventing-kafka-broker/releases/download/v0.17.0/eventing-kafka-broker.yaml

2. Verify that kafka-broker-controller, kafka-broker-receiver and kafka-broker-dispatcher are running, by entering the following command:

   kubectl get deployments.apps -n knative-eventing

   Example output:

   NAME                           READY   UP-TO-DATE   AVAILABLE   AGE
   eventing-controller            1/1     1            1           10s
   eventing-webhook               1/1     1            1           9s
   kafka-broker-controller        1/1     1            1           3s
   kafka-broker-dispatcher        1/1     1            1           4s
   kafka-broker-receiver          1/1     1            1           5s

Create a Kafka Broker

A Kafka Broker object looks like this:

apiVersion: eventing.knative.dev/v1
kind: Broker
metadata:
  annotations:
    # case-sensitive
    eventing.knative.dev/broker.class: Kafka
  name: default
  namespace: default
spec:
  # Configuration specific to this broker.
  config:
    apiVersion: v1
    kind: ConfigMap
    name: kafka-broker-config
    namespace: knative-eventing
  # Optional dead letter sink, you can specify either:
  #  - deadLetterSink.ref, which is a reference to a Callable
  #  - deadLetterSink.uri, which is an absolute URI to a Callable (It can potentially be out of the Kubernetes cluster)
  delivery:
    deadLetterSink:
      ref:
        apiVersion: serving.knative.dev/v1
        kind: Service
        name: dlq-service

spec.config should reference any ConfigMap that looks like the following:

apiVersion: v1
kind: ConfigMap
metadata:
  name: kafka-broker-config
  namespace: knative-eventing
data:
  # Number of topic partitions
  default.topic.partitions: "10"
  # Replication factor of topic messages.
  default.topic.replication.factor: "1"
  # A comma separated list of bootstrap servers. (It can be in or out the k8s cluster)
  bootstrap.servers: "my-cluster-kafka-bootstrap.kafka:9092"

The above ConfigMap is installed in the cluster. You can edit the configuration or create a new one with the same values depending on your needs.

Set as default broker implementation

To set the Kafka broker as the default implementation for all brokers in the Knative deployment, you can apply global settings by modifying the config-br-defaults ConfigMap in the knative-eventing namespace.

This allows you to avoid configuring individual or per-namespace settings for each broker, such as metadata.annotations.eventing.knative.dev/broker.class or spec.config.

The following YAML is an example of a config-br-defaults ConfigMap using Kafka broker as the default implementation.

apiVersion: v1
kind: ConfigMap
metadata:
  name: config-br-defaults
  namespace: knative-eventing
data:
  default-br-config: |
    clusterDefault:
      brokerClass: Kafka
      apiVersion: v1
      kind: ConfigMap
      name: kafka-broker-config
      namespace: knative-eventing
    namespaceDefaults:
      namespace1:
        brokerClass: Kafka
        apiVersion: v1
        kind: ConfigMap
        name: kafka-broker-config
        namespace: knative-eventing
      namespace2:
        brokerClass: Kafka
        apiVersion: v1
        kind: ConfigMap
        name: kafka-broker-config
        namespace: knative-eventing

Kafka Producer and Consumer configurations

Knative exposes all available Kafka producer and consumer configurations that can be modified to suit your workloads.

You can change these configurations by modifying the config-kafka-broker-data-plane ConfigMap in the knative-eventing namespace.

Documentation for the settings available in this ConfigMap is available on the Apache Kafka website, in particular, Producer configurations and Consumer configurations.

Enable debug logging for data plane components

The following YAML shows the default logging configuration for data plane components, that is created during the installation step:

apiVersion: v1
kind: ConfigMap
metadata:
  name: kafka-broker-config-logging
  namespace: knative-eventing
data:
  config.xml: |
    <configuration>
      <appender name="jsonConsoleAppender" class="ch.qos.logback.core.ConsoleAppender">
        <encoder class="net.logstash.logback.encoder.LogstashEncoder"/>
      </appender>
      <root level="INFO">
        <appender-ref ref="jsonConsoleAppender"/>
      </root>
    </configuration>

To change the logging level to DEBUG, you need to:

1. Apply the following kafka-broker-config-logging ConfigMap or replace level="INFO" with level="DEBUG" to the ConfigMap kafka-broker-config-logging:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: kafka-broker-config-logging
     namespace: knative-eventing
   data:
     config.xml: |
       <configuration>
         <appender name="jsonConsoleAppender" class="ch.qos.logback.core.ConsoleAppender">
           <encoder class="net.logstash.logback.encoder.LogstashEncoder"/>
         </appender>
         <root level="DEBUG">
           <appender-ref ref="jsonConsoleAppender"/>
         </root>
       </configuration>

2. Restart the kafka-broker-receiver and the kafka-broker-dispatcher, by entering the following commands:

   kubectl rollout restart deployment -n knative-eventing kafka-broker-receiver
   kubectl rollout restart deployment -n knative-eventing kafka-broker-dispatcher

Additional information

• To report bugs or add feature requests, open an issue in the eventing-kafka-broker repository.