Category: AWS Lambda

Welcome to the 16th 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, check out what […]

This post discusses how to perform a load test on a serverless workload. The process was used to validate a scale of Simple Trivia Service, a single- and multi-player game built using a serverless-first architecture on AWS.

This post is written by Heeki Park, Principal Specialist Solutions Architect – Serverless. When an AWS Lambda function is configured with an event source, the Lambda service triggers a Lambda function for each message or record. The exact behavior depends on the choice of event source and the configuration of the event source mapping. The […]

This post is written by Uma Ramadoss, Senior Specialist Solutions Architect, Integration. Today, AWS Lambda is introducing mutual TLS (mTLS) authentication for Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Kafka as an event source. Many customers use Amazon MSK for streaming data from multiple producers. Multiple subscribers can then consume the streaming […]

This blog post shows how to create a centralized pipeline to build and distribute Lambda layers consistently across multiple Regions. The pipeline is configurable and allows you to adapt the Regions and permissions according to your use-case.

This post explores Lambda’s scaling behavior when subscribed to SQS standard queues. It walks through several ways to scale faster and maximize Lambda throughput when needed. This includes increasing the memory allocation for the Lambda function, increasing batch size, catching errors, and making configuration changes.

This post is written by Brian Zambrano, Enterprise Solutions Architect and Indranil Banerjee, Senior Solution Architect. In December 2020, AWS announced support for packaging AWS Lambda functions using container images. Customers use the container image packaging format for workloads like machine learning inference made possible by the 10 GB container size increase and familiar container […]

This post is written by Veda Raman, SA Serverless, Casey Gerena, Sr Lab Engineer, Dan Fox, Principal Serverless SA. For real-time machine learning inferencing, customers often have several machine learning models trained for specific use-cases. For each inference request, the model must be chosen dynamically based on the input parameters. This blog post walks through the architecture […]

This post shows how to create a Step Functions workflow for Forecast using AWS SDK service integrations, which allows you to use over 200 with AWS API actions. It shows two patterns for handling asynchronous tasks. The first pattern queries the describe-* API repeatedly and the second pattern uses the “Retry” option. This simplifies the development of workflows because in many cases they can replace Lambda functions.

This solution provides a way to convert information from Secrets Manager into Lambda environment variables. By following this approach, you can centralize the management of information through Secrets Manager, instead of at the function level.