Kubernetes controller that can manage Kafka Topics.
Controller assumes you already have a working Kafka installation. How Kafka brokers are actually managed is outside of the scope of this project for the moment.
- creating topics
- creating additional partitions for existing topics
- deleting topics, garbage collection
- deleting partitions
- changing replication factor for existing topics and partitions
- partition assigning can in some cases lead to leader being skewed
A KafkaTopic
represents one Kafka Topic.
apiVersion: kafka.infra.doodle.com/v1beta1
kind: KafkaTopic
metadata:
name: test-topic
spec:
address: "kafka:9092"
name: "test-topic"
partitions: 16
replicationFactor: 1
config:
cleanupPolicy: compact
deleteRetentionsMs: 31556952000
Please see chart/k8skafka-controller for the helm chart docs.
You may change base settings for the controller using env variables (or alternatively command line arguments). Available env variables:
Name | Description | Default |
---|---|---|
METRICS_ADDR |
The address of the metric endpoint binds to. | :9556 |
PROBE_ADDR |
The address of the probe endpoints binds to. | :9557 |
ENABLE_LEADER_ELECTION |
Enable leader election for controller manager. | false |
LEADER_ELECTION_NAMESPACE |
Change the leader election namespace. This is by default the same where the controller is deployed. | `` |
NAMESPACES |
The controller listens by default for all namespaces. This may be limited to a comma delimited list of dedicated namespaces. | `` |
CONCURRENT |
The number of concurrent reconcile workers. | 4 |