Author: Jeff Barr

EC2’s Auto Scaling feature gives you the ability to define and then launch an Auto Scaling Group of Amazon EC2 instances that expands and contracts as necessary in order to handle a workload that varies over time. You can define scale-up and scale-down events that are triggered by the Amazon CloudWatch metrics that are most […]

Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. Last year we introduced Route 53 health checks. You can configure these health checks to route traffic to a backup website in the event that your primary website fails to respond as expected. We have since enhanced the basic health […]

The Amazon Simple Workflow Service (SWF for short) coordinates tasks and manages state for cloud-based applications. You can focus on your business logic and on your application instead of building complex glue code and implementing your own state machines. Among many other use cases, our customers are using SWF to manage complex video encoding pipelines, […]

You are now reading the newest version of the AWS Blog! After hosting the blog externally for nearly ten years, we decided to “drink our own champagne” (as we often say at Amazon) and move to an AWS-powered environment. I am happy to be able to report that this blog is generated on Amazon EC2 […]

Last month I urged you to download your secret access key(s) for your AWS (root) account in advance of a planned change in our access model. We have implemented the change and you can no longer retrieve existing secret access keys for the root account. If you lose your secret access key, you must generate […]

Let’s take a quick look at what happened in AWS-land last week: Monday, April 21 We announced New Features for Amazon Redshift. The AWS .NET Development Blog talked about Overriding Endpoints in the AWS SDK for .NET. The AWS Security Blog took on the task of Demystifying EC2 Resource-Level Permissions. Tuesday, April 22 We announced […]

Amazon DynamoDB is a fast, fully-managed NoSQL database. You can easily create tables, provision the desired amount of read and write capacity, and then store as much information as you’d like. Each item in a DynamoDB table consists of one or more key/value pairs, indexed by a hash key or a combination of a hash […]

You can use Amazon ElastiCache to implement an in-memory storage layer between your application code and your database using the Memcached or Redis engines. Adding an in-memory storage layer can often lead to dramatic speed improvements for database accesses. Regardless of which engine you choose, ElastiCache makes it easy to deploy, operate, and scale a […]