artifacthub helm/strimzi/strimzi-kafka-operator 0.10.0

latest releases: 0.40.0, 0.39.0, 0.38.0...
5 years ago

Main changes:

  • Support for Kafka 2.1.0
  • Support for Kafka upgrades
  • Add health-checks to TLS sidecars
  • Add support for new fields in the Pod template: terminationGracePeriod, securityContext and imagePullSecrets
  • Rename annotations to use the strimzi.io domain consistently (The old annotations are deprecated, but still functional):
    • cluster.operator.strimzi.io/delete-claimstrimzi.io/delete-claim
    • operator.strimzi.io/manual-rolling-updatestrimzi.io/manual-rolling-update
    • operator.strimzi.io/delete-pod-and-pvcstrimzi.io/delete-pod-and-pvc
    • operator.strimzi.io/generationstrimzi.io/generation
  • Add support for mounting Secrets and Config Maps into Kafka Connect and Kafka Connect S2I
  • Add support for NetworkPolicy peers in listener configurations
  • Make sure the TLS sidecar pods shutdown only after the main container
  • Add support for Pod Disruption Budgets

Full list of changes can be found under the 0.10.0 milestone.


Upgrading from Strimzi 0.9.0

  • Update your existing Kafka, KafkaConnect, KafkaConnectS2I, and KafkaMirrorMaker resources, as follows:
    • Add Kafka.spec.kafka.version with the value 2.0.1
    • Add KafkaConnect.spec.version with the value 2.0.1
    • Add KafkaConnectS2I.spec.version with the value 2.0.1
    • Add KafkaMirrorMaker.spec.version with the value 2.0.1
  • Wait for the associated rolling updates to complete.
  • Backup the existing Cluster Operator resources:
kubectl get -l app=strimzi > strimzi-backup.yaml
  • Update the Cluster Operator. You will need to modify the installation files according to the namespace the Cluster Operator is running in. For more information, see strimzi documentation.
  • If you modified one or more environment variables in your existing Cluster Operator Deployment, edit
    install/cluster-operator/050-Deployment-cluster-operator.yaml to reflect the changes that you made.
  • When you have an updated configuration you can deploy it along with the rest of the install resources:
kubectl apply -f install/cluster-operator
  • Wait for the associated rolling updates to complete.
  • Update existing resources to cope with deprecated custom resource properties.
    • If you have Kafka resources that specify Kafka.spec.topicOperator, rewrite them to use Kafka.spec.entityOperator.topicOperator instead.

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