Real-time cost savings for Amazon Managed Service for Apache Flink

This article discusses ways to optimize costs when running Apache Flink applications on Amazon Managed Service for Apache Flink. It provides insights and best practices for understanding and reducing the costs associated with the service.

Specifically, the article covers:

• How costs are calculated for Managed Service for Apache Flink based on Kinesis Processing Units (KPUs)
• Using AWS Cost Explorer to analyze and understand your Managed Service for Apache Flink spend
• Signs of overprovisioning or inefficient resource usage, such as low CPU and memory utilization
• Strategies for sizing your application, including starting with 1 KPU per 1 MB/s of ingestion rate
• Scaling and auto-scaling options, including out-of-the-box and custom metric-based auto-scaling
• Code optimizations, such as using higher-level APIs, eliminating data skew, and asynchronous I/O
• Determining if Apache Flink is the right technology for your use case based on state management and latency requirements