Deep dive into the Amazon Managed Service for Apache Fink application lifecycle – Part 2

This article is the second part of a deep dive into the Amazon Managed Service for Apache Flink application lifecycle, focusing on failure scenarios and monitoring strategies.

• Explores how Apache Flink handles runtime errors and potential failure modes during application deployment and operation
• Discusses three approaches to rolling back problematic changes:
  • Automatic system rollback
  • Manual rollback using API
  • Implicit rollback by updating configuration
• Provides monitoring techniques to detect application issues, including:
• Using FullRestarts CloudWatch metric
• Monitoring application, job, and subtask statuses
• Checking CloudWatch Logs for task state transitions
• Explains how Managed Service for Apache Flink minimizes processing downtime during updates

The article emphasizes the importance of understanding failure scenarios and implementing robust monitoring and recovery strategies for Apache Flink applications.