9 best practices to reduce your AWS MSK (Apache Kafka) costs

Amazon Managed Streaming for Apache Kafka (MSK) is a fully managed service designed to simplify the deployment and operation of Apache Kafka applications, with an emphasis on cost optimization. Key strategies for reducing AWS MSK costs include employing auto-scaling to adjust resources to match workload demands, selecting appropriate AWS instance types, and using provisioned storage for consistent I/O performance. Enabling message compression and optimizing network traffic through batching can further decrease expenses, although these may lead to increased CPU usage, necessitating careful monitoring. Additionally, cost savings can be achieved by employing custom monitoring and logging solutions, deleting unnecessary Kafka topics, limiting message retention periods, and using partition reassignment sparingly to avoid additional network traffic. Regular usage reviews and adjustments are recommended to ensure continued cost efficiency, and readers are encouraged to explore additional resources on cloud cost management strategies.

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