AWS Compute Blog

Category: Messaging

AWS re:Invent 2020

ICYMI: Serverless pre:Invent 2020

During the last few weeks, the AWS serverless team has been releasing a wave of new features in the build-up to AWS re:Invent 2020. This post recaps some of the most important releases for serverless developers. re:Invent is virtual and free to all attendees in 2020 – register here. See the complete list of serverless […]

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Solution architecture

Using Amazon SQS dead-letter queues to replay messages

This is courtesy of Alexandre Pinhel, Specialist SA Manager, in collaboration with Guillaume Marchand and Luke Hargreaves, Solutions Architects. Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service. It enables you to decouple and scale microservices, distributed systems, and serverless applications. A commonly used feature of Amazon SQS is dead-letter queues. The […]

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Tracking the latest server images in Amazon EC2 Image Builder pipelines

This post courtesy of Anoop Rachamadugu, Cloud Architect at AWS The Amazon EC2 Image Builder service helps users to build and maintain server images. The images created by EC2 Image Builder can be used with Amazon Elastic Compute Cloud (EC2) and on-premises. Image Builder reduces the effort of keeping images up-to-date and secure by providing […]

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Example architecture

Getting started with RPA using AWS Step Functions and Amazon Textract

This post is courtesy of Joe Tringali, Solutions Architect. Many organizations are using robotic process automation (RPA) to automate workflow, back-office processes that are labor-intensive. RPA, as software bots, can often handle many of these activities. Often RPA workflows contain repetitive manual tasks that must be done by humans, such as viewing invoices to find […]

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Backend architecture

Application integration patterns for microservices: Running distributed RFQs

In this blog, I present the scatter-gather pattern, which is a composite pattern based on pub-sub and point-to-point messaging channels. It also employs correlation ID and return address. I show how this is implemented in the Wild Rydes example application. You can use this integration pattern for communication in your microservices.

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Optimizing costs with the AWS Lambda Power Tuning tool

Optimizing the cost of serverless web applications

Web application backends are one of the most popular workload types for serverless applications. The pay-per-value model works well for this type of workload. As traffic grows, it’s important to consider the design choices and service configurations used to optimize your cost.

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