AWS Compute Blog

Category: Messaging

This figure shows the CloudWatch graph of three metrics – the total CPU Utilization of the Auto Scaling group, the load forecast generated by predictive scaling, and the derived metric using metric math that measures error for over-forecasting

Adopt Recommendations and Monitor Predictive Scaling for Optimal Compute Capacity

This post is written by Ankur Sethi, Sr. Product Manager, EC2, and Kinnar Sen, Sr. Specialist Solution Architect, AWS Compute. HAQM EC2 Auto Scaling helps customers optimize their HAQM 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 […]

Processing geospatial IoT data with AWS IoT Core and the HAQM 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 […]

Maximum concurrency is set to 10 for the SQS queue.

Introducing maximum concurrency of AWS Lambda functions when using HAQM 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 HAQM 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 […]

Payload filtering example

Introducing payload-based message filtering for HAQM SNS

This post is written by Prachi Sharma (Software Development Manager, HAQM SNS), Mithun Mallick (Principal Solutions Architect, AWS Integration Services), and Otavio Ferreira (Sr. Software Development Manager, HAQM SNS). HAQM Simple Notification Service (SNS) is a messaging service for Application-to-Application (A2A) and Application-to-Person (A2P) communication. The A2A functionality provides high-throughput, push-based, many-to-many messaging between distributed […]

SQS queue options in the console

Introducing attribute-based access controls (ABAC) for HAQM SQS

This post is written by Vikas Panghal (Principal Product Manager), and Hardik Vasa (Senior Solutions Architect). HAQM 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 […]

Architecture Diagram

Adding approval notifications to EC2 Image Builder before sharing AMIs

­­­­­This blog post is written by, Glenn Chia Jin Wee, Associate Cloud Architect, and Randall Han, Professional Services. You may be required to manually validate the HAQM Machine Image (AMI) built from an HAQM Elastic Compute Cloud (HAQM EC2) Image Builder pipeline before sharing this AMI to other AWS accounts or to an AWS organization. […]

Gregor Hohpe talking at EDA Day London 2022

ICYMI: Serverless Q3 2022

Welcome to the 19th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all 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 happened […]

actual cost variation for different batch sizes for 10 million messages.

Estimating cost for HAQM 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.