AWS Compute Blog
Category: Serverless
Using an Amazon MQ network of broker topologies for distributed microservices
This blog explains the choices when designing a cross-Region or a hybrid network of brokers architecture that spans AWS and your data centers. The example starts with a concentrator topology and enhances that with a cross-Region design to help address network routing and network security requirements.
Read MoreIntroducing Amazon Simple Queue Service dead-letter queue redrive to source queues
This blog post is written by Mark Richman, a Senior Solutions Architect for SMB. Today AWS is launching a new capability to enhance the dead-letter queue (DLQ) management experience for Amazon Simple Queue Service (SQS). DLQ redrive to source queues allows SQS to manage the lifecycle of unconsumed messages stored in DLQs. SQS is a […]
Read MoreFiltering event sources for AWS Lambda functions
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 […]
Read MoreVisualizing AWS Step Functions workflows from the Amazon Athena console
Amazon Athena console now provides an integration with AWS Step Functions’ workflows. You can use the provided patterns to create and visualize Step Functions’ workflows directly from the Amazon Athena console. Step Functions’ workflows that use Athena’s optimized API integration appear in the Athena console. To learn more about Amazon Athena, read the user guide.
Read MoreOffset lag metric for Amazon MSK as an event source for Lambda
This post written by Adam Wagner, Principal Serverless Solutions Architect. Last year, AWS announced support for Amazon Managed Streaming for Apache Kafka (MSK) and self-managed Apache Kafka clusters as event sources for AWS Lambda. Today, AWS adds a new OffsetLag metric to Lambda functions with MSK or self-managed Apache Kafka event sources. Offset in Apache […]
Read MoreExpanding cross-Region event routing with Amazon EventBridge
With cross-Region event routing in EventBridge, you can now route events to and from any AWS Region. This post explains how to manage and configure cross-Region event routing using CloudFormation and EventBridge resource policies to simplify rule propagation across your global event bus infrastructure. Finally, I walk through an example you can deploy to your AWS account.
Read MoreIntroducing mutual TLS authentication for Amazon MSK as an event source
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 […]
Read MorePublishing messages in batch to Amazon SNS topics
This post is written by Heeki Park (Principal Solutions Architect, Serverless Specialist), Marc Pinaud (Senior Product Manager, Amazon SNS), Amir Eldesoky (Software Development Engineer, Amazon SNS), Jack Li (Software Development Engineer, Amazon SNS), and William Nguyen (Software Development Engineer, Amazon SNS). Today, we are announcing the ability for AWS customers to publish messages in batch […]
Read MoreDeploying AWS Lambda layers automatically across multiple Regions
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.
Read MoreModernizing deployments with container images in AWS Lambda
This post is written by Joseph Keating, AWS Modernization Architect, and Virginia Chu, Sr. DevSecOps Architect. Container image support for AWS Lambda enables developers to package function code and dependencies using familiar patterns and tools. With this pattern, developers use standard tools like Docker to package their functions as container images and deploy them to […]
Read More