AWS News Blog

Category: Compute

AWS Lambda – A Look Back at 2016

2016 was an exciting year for AWS Lambda, Amazon API Gateway and serverless compute technology, to say the least. But just in case you have been hiding away and haven’t heard of serverless computing with AWS Lambda and Amazon API Gateway, let me introduce these great services to you.  AWS Lambda lets you run code […]

Amazon EFS Update – On-Premises Access via Direct Connect

I introduced you to Amazon Elastic File System (Amazon EFS) last year (Amazon Elastic File System – Shared File Storage for Amazon EC2) and announced production readiness earlier this year (Amazon Elastic File System – Production-Ready in Three Regions). Since the launch earlier this year, thousands of AWS customers have used it to set up, […]

New – IPv6 Support for EC2 Instances in Virtual Private Clouds

Update (7/13/2017): Since this post was published, IPv6 supported has been extended and now supports 15 Regions and Multiple AWS Services. The continued growth of the Internet, particularly in the areas of mobile applications, connected devices, and IoT, has spurred an industry-wide move to IPv6. In accord with a mandate that dates back to 2010, […]

New – AWS Step Functions – Build Distributed Applications Using Visual Workflows

We want to make it even easier for you to build complex, distributed applications by connecting multiple web and microservices. Whether you are implementing a complex business process or setting up a processing pipeline for photo uploads, we want you to focus on the code instead of on the coordination. We want you to be […]

Lambda@Edge – Preview

Just last week, a comment that I made on Hacker News resulted in an interesting email from an AWS customer! He told me that he runs a single page app that is hosted on S3 (read about this in Host Your Static Website on Amazon S3) and served up at low latency through Amazon CloudFront. […]

AWS Batch – Run Batch Computing Jobs on AWS

I entered college in the fall of 1978. The Computer Science department at Montgomery College was built around a powerful (for its time) IBM 370/168 mainframe. I quickly learned how to use the keypunch machine to prepare my card decks, prefacing the actual code with some cryptic Job Control Language (JCL) statements that set the […]