Build scalable, event-driven architectures with Amazon DynamoDB and AWS Lambda

This article discusses how to build scalable, event-driven architectures using Amazon DynamoDB and AWS Lambda. It provides an in-depth overview of DynamoDB streams, which capture real-time data changes, and how Lambda can consume and process these events efficiently.

Specifically, the article covers:

• The relationship between DynamoDB partitions, stream shards, and Lambda instances
• Ordering and deduplication guarantees in DynamoDB streams
• Using Lambda as a DynamoDB stream consumer and configuring EventSourceMapping
• Factors affecting processing speed and IteratorAge, such as runtime duration, batch size, invocation errors, throttling, uneven data distribution, and shard count
• Best practices for optimizing Lambda functions and mitigating issues like poisoned pills and throttling