#Kafka Memory Usage Optimization

#Improper Broker Configuration

The message.max.bytes parameter indicates the maximum message size that the broker can accept. If this value is set too high, it can lead to excessively large messages that consume too much memory.

#Configuring JVM Parameters

Kafka is written in Java, so in order to ensure the performance and stability of Kafka, it is important to pay attention to the GC (Garbage Collection) performance of the JVM. Properly configuring JVM parameters can optimize memory usage. It is recommended to use the following JVM parameters to reduce memory fragmentation and GC pressure.

spec:
   kafka:
     ...
     jvmOptions:
      '-Xms': 512m
      '-Xmx': 512m
     ...

#Limiting Consumer Count Using Consumer Groups

Each consumer occupies a certain amount of memory; therefore, limiting the number of consumers can reduce memory usage. By using consumer groups, horizontal scaling of consumers can be achieved, thereby alleviating the memory pressure on individual consumers.

#Reasonable Configuration of Topics and Partitions

A Kafka cluster can contain multiple topics, each of which may have multiple partitions. Each partition will consume a certain amount of memory, so a reasonable configuration of topics and partitions can avoid memory waste. Please determine the number of topics and partitions based on actual business requirements and cluster size.

#Broker Scaling

Reduce the number of partitions and replicas on a single broker to free up more memory.