Handle errors in Apache Flink applications on AWS

This article discusses error handling strategies for Apache Flink streaming applications, focusing on two primary error types and methods to manage them effectively.

• Two main error types: transient (retryable) and nontransient (persistent) errors
• Retries are effective for handling temporary issues like network timeouts
• Async I/O allows concurrent processing of requests with configurable retry strategies
• Dead Letter Queues (DLQs) help manage nontransient errors by isolating problematic messages
• Side outputs in Flink enable splitting streams to route messages based on processing outcomes

Key recommendations include implementing appropriate retry mechanisms, using side outputs to manage error streams, and creating downstream processes to handle messages that cannot be processed initially.