AWS Compute Blog

Category: Amazon Simple Queue Service (SQS)

Errors in queue processing

Operating Lambda: Debugging configurations – Part 3

This post explains common integration errors in Lambda-based applications. These include running an unintended version or alias of a function, triggering infinite loops unintentionally, and issues with downstream availability. In each case, I explain steps you can take to remediate the issue.

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 […]

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 […]

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.

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.

DLQ configured per target

Improved failure recovery for Amazon EventBridge

Today we’re announcing two new capabilities for Amazon EventBridge – dead letter queues and custom retry policies. Both of these give you greater flexibility in how to handle any failures in the processing of events with EventBridge. You can easily enable them on a per target basis and configure them uniquely for each. Dead letter […]

Fault-tolerant microservices architecture

Building resilient serverless patterns by combining messaging services

Queues, publish/subscribe services, and event buses are important parts of a resilient, well-architected serverless application. These are provided in AWS by SQS, SNS, and EventBridge.

SNS fanout to Lambda functions

Choosing between messaging services for serverless applications

Messaging is an important part of serverless applications and AWS services provide queues, publish/subscribe, and event routing capabilities. This post reviews the main features of SNS, SQS, and EventBridge and how they provide different capabilities for your workloads.

Building storage-first serverless applications with HTTP APIs service integrations

Over the last year, I have been talking about “storage first” serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency. By persisting the data before processing, the original data is still available, if or when errors occur. Common pattern for […]