AWS News Blog

Jeff Barr

Author: Jeff Barr

Jeff Barr is Chief Evangelist for AWS. He started this blog in 2004 and has been writing posts just about non-stop ever since.

Amazon DynamoDB – Support for Binary Data

As Werner noted recently, Amazon DynamoDB is the fastest growing new service in the history of AWS! If you are a DynamoDB user, you already know the drill — create a table, provision the throughput (in terms of read and write capacity units per second), and start storing and retrieving data without worrying about hitting […]

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AWS Week in Review – August 13, 2012

Let’s take a quick look at what happened in AWS-land last week: Monday, August 13 We updated AWS Direct Connect with new locations and AWS Management Console support. We published another AWS Report, this one featuring Kate Matsudaira, CTO of Thursday, August 16 We added additional features to Amazon RDS for Oracle Database, including support for running in […]

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Announcing AWS Elastic Beanstalk support for Python, and seamless database integration

Its a good day to be a Python developer: AWS Elastic Beanstalk now supports Python applications! If youre not familiar with Elastic Beanstalk, its the easiest way to deploy and manage scalable PHP, Java, .NET, and now Python applications on AWS. You simply upload your application, and Elastic Beanstalk automatically handles all of the details associated […]

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AWS Week in Review – August 6, 2012

Let’s take a quick look at what happened in AWS-land last week: Monday, August 6 AWS Elastic MapReduce now supports Hadoop 1.0.3 including HDFS over HTTP. Wednesday, August 8 We released some EBS Provisioned IOPS resources including a benchmarking guide. Thursday, August 9 We reduced the minimum throughput for DynamoDB tables. Stay tuned for another exciting week! — Jeff;   Modified […]

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The AWS Report – Kate Matsudaira of

I interviewed Kate Matsudaira, CTO of, for The AWS Report. Kate told me how uses AWS to implement  a next-generation online (web and mobile) shopping experience using terabytes of data pulled from thousands of sources. Behind the scenes, uses a number of AWS services including EC2, S3, and Elastic MapReduce. Because they […]

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