Author: Jeff Barr

Let’s take a quick look at what happened in AWS-land last week: Monday, March 31 We announced a new, instructor-led Big Data on AWS Training Course. We announced Twelve New Instance Types for Elastic MapReduce. We announced the AWS April Webinars, With a Focus on Disaster Recovery. The AWS Application Management Blog listed Three Easy […]

Many organizations face the need to move transactional data from one location to another location. As organizations continue to make the cloud a central part of their overall IT architecture, this need seems to grow in tandem with the size, scope, and complexity of the organization. The application use cases range from migrating data from […]

AWS Elastic Beanstalk makes it easy for you to deploy and manage applications in the AWS cloud. After you upload your application, Elastic Beanstalk will provision, monitor, and scale capacity (Amazon EC2 instances), while also load balancing incoming requests across all of the healthy instances. Choice of Language and Runtime Environment Your PHP, Python, Ruby, […]

Amazon CloudFront automatically routes requests for your content to the nearest edge location. Behind the scenes, it uses the IP address of the DNS resolver that is making the DNS query for the content. This model worked well back in the days when a particular resolver had a single, fixed geographic location. Today, many popular […]

At last week’s AWS Summit in San Francisco, Senior VP Andy Jassy announced the forthcoming R3 instance type (watch Andy’s presentation), and presented a map to illustrate the choices: I’d like to provide you with some additional technical and pricing information so that you can start thinking about how you will put this powerful new […]

Thousands of AWS customers use Amazon Elastic MapReduce to process and store vast amounts of data. Because Elastic MapReduce is built around the Hadoop framework, it is easy to use hundreds or thousands of Amazon EC2 instances in parallel. Hot on the heels of the price reductions that we made last week, we are also […]

Many AWS customers look to the cloud for Disaster Recovery. They love the fact that they can arrange for rapid recovery of their production systems and data without incurring the capital and operational expenses associated with the use of a second physical site. The elastic, pay-as-you-go nature of the AWS cloud allows them to upload […]

We have added a new Big Data course to the AWS Training program. The three day, instructor-led course is designed to teach you how to use Amazon DynamoDB, Amazon Redshift, Amazon Elastic MapReduce and important Hadoop tools such as Pig and Hive. The course will show you how to create big data environments and how […]