AWS Compute Blog

Category: Kinesis Data Streams

Custom checkpointing walkthrough

Optimizing batch processing with custom checkpoints in AWS Lambda

The default behavior for stream processing in Lambda functions enables entire batches of messages to succeed or fail. You can also use batch bisecting functionality to retry batches iteratively if a single message fails. Now with custom checkpoints, you have more control over handling failed messages.

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Tumbling windows

Using AWS Lambda for streaming analytics

With tumbling windows, you can calculate aggregate values in near-real time for Kinesis data streams and DynamoDB streams. Unlike existing stream-based invocations, state can be passed forward by Lambda invocations. This makes it easier to calculate sums, averages, and counts on values across multiple batches of data.

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Building storage-first serverless applications with HTTP APIs service integrations

Over the last year, I have been talking about “storage first” serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency. By persisting the data before processing, the original data is still available, if or when errors occur. Common pattern for […]

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ICYMI: Serverless Q2 2020

Welcome to the 10th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all of the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, checkout what happened […]

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