Category: Amazon Simple Queue Service (SQS)

Today AWS Lambda is introducing new controls for asynchronous and stream processing invocations. These new features allow you to customize responses to Lambda function errors and build more resilient event-driven and stream-processing applications. Stream processing function invocations When processing data from event sources such as Amazon Kinesis Data Streams, and Amazon DynamoDB Streams, Lambda reads […]

This post is courtesy of Dirk Fröhner, Sr. Solutions Architect The first blog in this series introduced asynchronous messaging for building loosely coupled systems that can scale, operate, and evolve individually. It considered messaging as a communications model for microservices architectures. This post covers concrete architectural considerations, focusing on the messaging architecture. Part 3 covers running […]

This post is courtesy of Dirk Fröhner, Sr. Solutions Architect One of the implications of applying the microservices architectural style is that much communication between components happens over the network. After all, your microservices landscape is a distributed system. To achieve the promises of microservices, such as being able to individually scale, operate, and evolve each service, this […]

AWS Lambda first announced support for Amazon SQS standard queues as an event source in April 2018. This allows builders to develop serverless applications using queues to directly invoke Lambda functions. Today, we have expanded this feature to include SQS FIFO queues. This makes it easier to create serverless applications using queues where the order […]

This post is courtesy of Otavio Ferreira, Sr Manager, SNS. In a postal system, a dead-letter office is a facility for processing undeliverable mail. In pub/sub messaging, a dead-letter queue (DLQ) is a queue to which messages published to a topic can be sent, in case those messages cannot be delivered to a subscribed endpoint. […]

This post is contributed by Robin Salkeld, Sr. Software Development Engineer Amazon SQS is a fully managed message queuing service that makes it easy to decouple and scale microservices, distributed systems, and serverless applications. Asynchronous workflows have always been the primary use case for SQS. Using queues ensures one component can keep running smoothly without losing […]

This post is courtesy of Ryan Ulaszek, AWS Genomics Partner Solutions Architect and Aaron Friedman, AWS Healthcare and Life Sciences Partner Solutions Architect In 2017, we published a four part blog series on how to build a genomics workflow on AWS. In part 1, we introduced a general architecture highlighting three common layers: job, batch and […]

This post is courtesy of Christian Mueller, Sr. Solutions Architect, AWS and Dirk Fröhner, Sr. Solutions Architect, AWS At AWS, we see our customers increasingly moving toward managed services to reduce the time and money that they spend managing infrastructure. This also applies to the messaging domain, where AWS provides a collection of managed services. Asynchronous messaging is […]

This post is courtesy of Christian Mueller, Sr. Solutions Architect, AWS and Dirk Fröhner, Sr. Solutions Architect, AWS In this blog, we look at the second part of some fundamental enterprise integration patterns and how you can implement them with AWS messaging services. If you missed the first part, we encourage you to start there. Read Part 1: […]

The better-late-than-never edition! Welcome to the second 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! The second quarter of 2018 flew by […]