Build highly available streams with Amazon Kinesis Data Streams

The article discusses strategies for building highly available Amazon Kinesis Data Streams across multiple AWS Regions to ensure continuous data streaming and minimal service interruption.

• Two primary high availability patterns are explored: warm standby and cold standby
• Warm standby involves running streams and consumers simultaneously in primary and secondary Regions
• Cold standby involves replicating data and spinning up consumers only when a service interruption occurs
• Key considerations include Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
• Replication is achieved through a Lambda function that copies data between Regions asynchronously
• Health checks use CloudWatch metrics to detect stream unavailability
• Client failover involves dynamically updating producer and consumer destinations

The approach helps organizations maintain streaming workloads with minimal data loss and downtime during Regional service interruptions.