Manage Kafka Cluster

Kafka Cluster DB is not a traditional database. It is a cluster of Kafka servers working together to store and process real-time event streams. Kafka Cluster DB improves scalability, data durability and processing performance compared to using a single Kafka server.

It is commonly used for:

• Real-time data processing

• Building messaging systems

• Centralized logging

Follow the articles below to learn more about using Kafka Cluster:

• Create Kafka Cluster: To start using Kafka on the vDB platform, you need to create a Kafka cluster. This cluster will store and process your application's events.

• Scale Up/Down Broker Count: Scale up when data traffic increases - adding more brokers helps distribute the load, ensuring system performance and fault tolerance. Conversely, scale down when data traffic decreases to save resources.

• Scale Up Broker Storage: As data accumulates, increasing storage capacity ensures the Kafka cluster doesn't run out of space and continues to operate stably.

• Edit Config Group: Kafka has many configuration parameters that affect performance, data durability, and other aspects. Editing the config group allows you to customize Kafka according to your application's specific requirements.

• Edit Access Method: mTLS ensures higher security through two-way authentication between client and server; SASL provides flexible user authentication mechanisms.

• Public Accessibility: Allows access from outside.

• Topic Management: vDB Kafka Cluster provides topic management features such as create, delete, edit,...

• User Management: vDB Kafka Cluster provides Kafka user management features such as create, delete, edit permissions, access method, re-Generate Certificate,...

Note:

• Always carefully check configurations before applying changes.

• Back up important data before making major changes.

• Refer to the detailed vDB Kafka Cluster documentation for more information.