Create more partitions and retain data for longer in your MSK Serverless clusters

In April 2022, Amazon Managed Streaming for Apache Kafka (Amazon MSK) launched an exciting new capability, Amazon MSK Serverless. Amazon MSK is a fully managed service for Apache Kafka that makes it easier for developers to build and run highly available, secure, and scalable applications based on Apache Kafka. With MSK Serverless, developers can run their applications without having to provision, configure, or optimize their Apache Kafka clusters. MSK Serverless automatically provisions and scales compute and storage resources, so developers have access to on-demand streaming capacity and storage.

Over the remainder of 2022, the team collected customer feedback and worked backward from customer requirements to add new capabilities that made MSK Serverless even better. In this post, we discuss a few of these enhancements in detail and provide an example use case.

Data in Apache Kafka is written to topics, which can be partitioned into multiple log files called partitions. When a producer application writes data to a topic, it is appended to one of these partitions. MSK Serverless launched with a maximum quota of 120 partitions per cluster. However, our customers told us that they needed more partitions per cluster for a variety of use cases, ranging from change data capture (CDC) to faster real-time data processing.

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