Category: Compute

This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a table of contents and explanation of the example application. Security question SEC3: […]

Update – December 20, 2021: We’re extending the General Update from December 5 2021 to January 31 2022. The End of Delayed Update date is now also changed to February 1 2022. Update – October 8, 2021: We’re extending the General Update from September 30 2021 to December 5 2021. The End of Delayed Update […]

In this post, I introduce some of the core streaming concepts for serverless applications. I explain some of the benefits of streaming architectures and how Kinesis works with producers and consumers. I compare different ways to ingest data, how streams are composed of shards, and how partition keys determine which shard is used. Finally, I explain the payload formats at the different stages of a streaming workload, how message ordering works with shards, and why idempotency is important to handle.

This post shows how you can evolve a workload using hexagonal architecture. It explains how to add new functionality, change underlying infrastructure, or port the code base between different compute solutions. The main characteristics enabling this are loose coupling and strong encapsulation.

Amazon MQ for RabbitMQ is an AWS managed version of RabbitMQ. The service manages the provisioning, setup, and maintenance of RabbitMQ, reducing operational overhead for companies. Now, with Amazon MQ for RabbitMQ as an event source for AWS Lambda, you can process messages from the service. This allows you to integrate Amazon MQ for RabbitMQ […]

This blog post shows how you can use S3 Object Lambda with Amazon Translate to simplify dynamic content translation by using a data driven approach. With user-provided data as arguments, you can dynamically transform content in S3 and generate a new object.

This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a table of contents and explanation of the example application. Security question SEC3: […]

A review of everything that happened in AWS Serverless in Q2 2021.

This post was written by Diggory Briercliffe, Senior IoT Architect. When implementing a task queue, you can use Amazon SQS standard or FIFO (First-In-First-Out) queue types. Both queue types give priority to tasks created earlier over tasks that are created later. However, there are use cases where you need a LIFO (Last-In-First-Out) queue. This post […]

This post is written by Scott Horsfield, Principal Solutions Architect, EC2 Scalability and Ankur Sethi, Sr. Product Manager, EC2 Amazon EC2 Auto Scaling allows customers to realize the elasticity benefits of AWS by automatically launching and shutting down instances to match application demand. Today, we are excited to tell you about predictive scaling. It is a […]