Author: Jeff Barr

As you may already know, Amazon Elastic Compute Cloud (EC2)‘s new T2 instance type provides a solid level of baseline performance and the ability to burst above the baseline as needed. As I wrote in my blog post, these instances are ideal for development, testing, and medium-traffic web sites. Today we are bringing the benefits […]

Many AWS customers begin their journey to the cloud by implementing a backup and recovery discipline. Because the cloud can provide any desired amount of durable storage that is both secured and cost-effective, organizations of all shapes and sizes are using it to support robust backup and recovery models that eliminate the need for on-premises […]

From time to time, one of my blog posts will describe a way to make use of two AWS products or services together. Today I am going to go one better and show you how to bring the following trio of items in to play simultaneously: Amazon Simple Workflow (SWF) can help you to build, […]

Let’s take a quick look at what happened in AWS-land last week: Monday, September 1 We celebrated Labor Day in the US, and launched nothing! Tuesday, September 2 We announced that you can now Query Your EC2 Instances Using Tag and Attribute Filtering. Wednesday,September 3 We announced that Version 13 of Hive is now Available for Elastic MapReduce. […]

AWS GovCloud (US) is an isolated AWS Region designed to allow US government agencies and customers to move sensitive workloads into the cloud. Today we are enhancing this Region with the addition of five more EC2 instance types. Instances of these types can be launched directly or through Auto Scaling groups. Let’s take a look […]

Sitting here at my desk in Seattle, I am surrounded by colleagues that are working non-stop to make this year’s AWS re:Invent conference the best one yet! I get to hear all about the keynotes, sessions, and the big party without even leaving my desk. In 2013, five exciting startups had the opportunity to launch […]

I am pleased to announce that Elastic MapReduce now supports version 13 of Hive. Hive is a great tool for building and querying large data sets. It supports the ETL (Extract/Transform/Load) process with some powerful tools, and give you access to files stored on your EMR cluster in HDFS or in Amazon Simple Storage Service […]

Among many other responsibilities, a relational database system must make efficient use of main memory (RAM) for buffering and caching purposes. RAM is far faster and easier to access than SSD or magnetic storage; a properly sized and tuned cache or buffer pool can do wonders for database performance. Today we are improving Amazon RDS […]