Author: Jeff Barr

You can now create cross-region read replicas for Amazon RDS database instances! This feature builds upon our existing support for read replicas that reside within the same region as the source database instance. You can now create up to five in-region and cross-region replicas per source with a single API call or a couple of […]

Let’s take a quick look at what happened in AWS-land last week: Monday, November 18 I published an AWS re:Invent 2013 Video Recap. Tuesday, November 19 The AWS Windows and .Net Development Blog discussed the Three Different APIs for Amazon S3. The AWS Security Blog talked about IAM Policies, Bucket Policies, and ACLs. Wednesday, November […]

Derek Lyon sent me a really nice guest post to introduce an important new EC2 feature! — Jeff; I am happy to announce that Amazon EC2 now supports resource-level permissions for the RunInstances API. This release enables you to set fine-grained controls over the AMIs, Snapshots, Subnets, and other resources that can be used when […]

If you were not able to make the trip to Las Vegas for AWS re:Invent, you missed an action-packed week. Lee Zen and I spent a lot of time recording videos to capture the excitement. Here are the videos, along with some links to additional information. Watch the following videos (11 minutes of content altogether) […]

Let’s take a quick look at what happened in AWS-land last week: Monday, November 11 I published a new AWS Report video featuring Joe Vaccaro of Citrix. We announced a Bunch of New Features for Amazon Redshift. We announced that AWS Identity and Access Management can now use SAML. We announced AWS Marketplace Integration for […]

Update: The feature described in this blog is available now and you can start using it today! Amazon.com CTO Werner Vogels gave a sneak peek at a new feature for Amazon DynamoDB earlier today. Planned for launch within weeks, the new Global Secondary Indexes will give you the flexibility to query your DynamoDB tables in […]

Imagine a situation where fresh data arrives in a continuous stream, 24 hours a day, 7 days a week. You need to capture the data, process it, and turn it into actionable conclusions as soon as possible, ideally within a matter of seconds. Perhaps the data rate or the compute power required for the analytics […]

Many AWS customers run CPU-bound, compute-intensive workloads on Amazon EC2, often using parallel processing frameworks such as Hadoop to distribute work and collect results. This includes batch data processing, analytics, high-performance scientific computing, 3D rendering, engineering, and simulation. To date these needs have been met by the existing members of our compute-optimized instance families — […]