AWS Compute Blog
Category: Amazon Simple Queue Service (SQS)
Processing geospatial IoT data with AWS IoT Core and the Amazon Location Service
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 […]
Introducing maximum concurrency of AWS Lambda functions when using Amazon SQS as an event source
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 […]
Introducing attribute-based access controls (ABAC) for Amazon SQS
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 […]
Announcing server-side encryption with Amazon Simple Queue Service -managed encryption keys (SSE-SQS) by default
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.
Estimating cost for Amazon SQS message processing using AWS Lambda
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.
ICYMI: Serverless Q4 2021
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 […]
Introducing 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 […]
Introducing 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 […]
Understanding how AWS Lambda scales with Amazon SQS standard queues
This post explores Lambda’s scaling behavior when subscribed to SQS standard queues. It walks through several ways to scale faster and maximize Lambda throughput when needed. This includes increasing the memory allocation for the Lambda function, increasing batch size, catching errors, and making configuration changes.
Creating a serverless face blurring service for photos in Amazon S3
A serverless face blurring service can provide a simpler way to process photos in workloads with large amounts of traffic. This post introduces an example application that blurs faces when images are saved in an S3 bucket. The S3 PutObject event invokes a Lambda function that uses Amazon Rekognition to detect faces and GraphicsMagick to process the images.