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Apache Kafka (Confluent Cloud)

Manage a Confluent Cloud Kafka cluster: list, create and delete topics, read and change topic settings, produce records, and list consumer groups.

actions
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Actions

Steps a workflow can run in Apache Kafka (Confluent Cloud).

  • Get clusterCheck the connection and get the cluster's id and Confluent resource name.
  • List topicsList the cluster's topics, optionally only those whose name contains some text.
  • Get topicGet a topic's partition count and replication factor.
  • Create topicCreate a topic, or check that it could be created without creating it. The cluster chooses the replication factor.
  • Add partitions to topicRaise a topic's partition count. Kafka never lowers it, and records already written stay where they are.
  • Delete topicDelete a topic and every record in it. This cannot be undone.
  • List topic settingsList every setting of a topic with its value and whether it is the default.
  • Get topic settingGet one setting of a topic.
  • Set topic settingsChange one or more settings of a topic together. Settings not named stay as they are.
  • Reset topic settingPut one setting of a topic back to the cluster's default.
  • List partitionsList a topic's partitions and the broker leading each.
  • Get partitionGet one partition of a topic.
  • Produce recordWrite one record to a topic and get the partition and offset it landed at. Running it twice writes two records.
  • List consumer groupsList the cluster's consumer groups, optionally by state or name.

Automate Apache Kafka (Confluent Cloud) with Lodol.

Connect Apache Kafka (Confluent Cloud), then hand Lodol the job in Slack, Claude or ChatGPT.

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