Category: Amazon Simple Queue Service (SQS)

This post is written by Dominik Richter (Solutions Architect) Architectural patterns help you solve recurring challenges in software design. They are blueprints that have been used and tested many times. When you design distributed applications, enterprise integration patterns (EIP) help you integrate distributed components. For example, they describe how to integrate third-party services into your […]

This post is written by Ankur Sethi, Sr. Product Manager, EC2, and Kinnar Sen, Sr. Specialist Solution Architect, AWS Compute. Amazon EC2 Auto Scaling helps customers optimize their Amazon EC2 capacity by dynamically responding to varying demand. Based on customer feedback, we enhanced the scaling experience with the launch of predictive scaling policies. Predictive scaling […]

This post is written by Swarna Kunnath (Cloud Application Architect), and Anand Komandooru (Sr. Cloud Application Architect). This blog post shows how to republish messages that arrive from Internet of Things (IoT) devices across AWS accounts using a replatforming approach. A replatforming approach minimizes changes to the core application architecture, allowing an organization to reduce […]

This blog post is written by Solutions Architects John Lee and Jeetendra Vaidya. AWS Lambda now provides a way to control the maximum number of concurrent functions invoked by Amazon SQS as an event source. You can use this feature to control the concurrency of Lambda functions processing messages in individual SQS queues. This post […]

This post is written by Vikas Panghal (Principal Product Manager), and Hardik Vasa (Senior Solutions Architect). Amazon Simple Queue Service (SQS) is a fully managed message queuing service that makes it easier to decouple and scale microservices, distributed systems, and serverless applications. SQS queues enable asynchronous communication between different application components and ensure that each of these […]

SQS now provides server-side encryption (SSE) using SQS-owned encryption (SSE-SQS) by default. This enhancement makes it easier to create SQS queues, while greatly reducing the operational burden and complexity involved in protecting data.

You can use Lambda functions to handle fully managed asynchronous processing of SQS messages. Estimating the cost and optimal setup depends on leveraging the various configurations of SQS and Lambda functions. The cost estimator tool presented in this blog should help you understand these configurations and their impact on the overall cost and performance of the Lambda function-based messaging solutions.

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 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 […]

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 […]