RunJRun is a very simple system for doing parallel processing in Java, using Amazon Elastic Compute Cloud (EC2) instances as compute nodes. The basic compute unit is a Runnable, Serializable Java object, a "task" for short. A user submits a list of such tasks to RunJRun. Each task then has its run() method invoked on an EC2 instance. To use it, you'll need an Amazon Machine Image (AMI) that has the RunJRun server-side software installed; several such AMIs are available.
TurnKey Amazon EC2 SDK Appliance is a server appliance that provides an SDK designed to help develop for the Amazon Elastic Computing Cloud (EC2). It bundles libraries which interface with Amazon's APIs and allows you to develop custom Amazon AMI images, which can then be launched as instances in EC2. It is designed to be easy to use and easy to maintain. Security patches are automatically installed. It provides a Web management interface, configuration console, and an AJAX Web shell. To minimize footprint the appliance is built from the ground up with the minimum required components. It runs everywhere thanks to multiple build formats, including an installable live CD, a VMDK with OVF support, and an Amazon EC2 AMI.
LASIC is a language that facilitates creating and managing systems in a cloud environment. It allows you to create scripts that describe a system, its components, and the relationship between those components using a declarative syntax. Various verbs can then be applied to the script such as deploy (create a new system), shutdown, or runAction(run some action on components of the system). LASIC currently supports Amazon's cloud environment (AWS). LASIC stands for Language for Automating Systems in the Cloud.
EC2 Mobile manages Amazon AWS EC2 instances from a Windows Mobile device. It allows you to start, stop, and manage running EC2 instances. If you have multiple clients who run their services on EC2, you can also store multiple profiles so that you can see all of the instances running across all clients. Similarly, you can see each profile's AMI images.