AWS News Blog

We launched a new feature for Amazon Kinesis Data Streams (KDS) called Enhanced Fan-out, which enables developers to take advantage of a new low latency HTTP/2 data retrieval API. This new API allows customers to attach more applications to a single data stream while maintaining read performance across all of the applications consuming the stream. The HTTP/2 interface reduces the latency between ingestion of data and consumption of data by a consumer application by about 75%, down to less than 50 milliseconds.

You may have heard of Amazon Aurora, a custom built MySQL and PostgreSQL compatible database born and built in the cloud. You may have also heard of serverless, which allows you to build and run applications and services without thinking about instances. These are two pieces of the growing AWS technology story that we’re really excited to be working on. Last year, at AWS re:Invent we announced a preview of a new capability for Aurora called Aurora Serverless. Today, I’m pleased to announce that Aurora Serverless for Aurora MySQL is generally available. Aurora Serverless is on-demand, auto-scaling, serverless Aurora. You don’t have to think about instances or scaling and you pay only for what you use.

AWS Online Tech Talks are live, online presentations that cover a broad range of topics at varying technical levels. Join us this month to learn about AWS services and solutions. We’ll have experts online to help answer any questions you may have. We’ve also launched our first-ever office hours style tech talk, where you have the […]

I was cleaning up my home office over the weekend and happened upon a network map that I created in 1997. Back then my fully wired network connected 5 PCs and two printers. Today, with all of my children grown up and out of the house, we are down to 2 PCs. However, our home […]

lets you create petabyte-scale file systems that can be accessed in massively parallel fashion from hundreds or thousands of servers and on-premises resources, scaling on demand without disrupting applications. Behind the scenes, storage is distributed across multiple Availability Zones and redundant storage servers in order to provide you with file systems that are scalable, durable, […]

This blog shares some brief thoughts on machine learning accuracy and bias. Let’s start with some comments about a recent ACLU blog in which they ran a facial recognition trial. Using Rekognition, the ACLU built a face database using 25,000 publicly available arrest photos and then performed facial similarity searches on that database using public […]

Just last week I told you about our plans to launch EC2 Instances with Faster Processors and More Memory. Today I am happy to report that the R5, R5d, and z1d instances are available now and you can start using them today. Let’s take a look at each one! R5 Instances The memory-optimized R5 instances […]

At the New York Summit a few days ago we launched two new features: a new batch inference feature called Batch Transform that allows customers to make predictions in non-real time scenarios across petabytes of data and Pipe Input Mode support for TensorFlow containers. SageMaker remains one of my favorite services and we’ve covered it […]

I hope that you are enjoying the Polly-powered audio that is available for the newest posts on this blog, including the DeepLens Challenge and the Storage Gateway Recap. As part of my blogging process, I now listen to the synthesized speech for my draft blog posts in order to get a better sense for how […]

Last month I told you about the Nitro system and explained how it will allow us to broaden the selection of EC2 instances and to pick up the pace as we do so, with an ever-broadening selection of compute, storage, memory, and networking options. This will allow us to give you access to the latest […]