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.
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.
StarCluster is a utility for creating traditional computing clusters used in research labs or for general distributed computing applications on Amazon's Elastic Compute Cloud (EC2). It uses a simple configuration file provided by the user to request cloud resources from Amazon and to automatically configure them with a queuing system, an NFS shared /home directory, passwordless SSH, OpenMPI, and ~140GB scratch disk space. It consists of a Python library and a simple command line interface to the library. For end-users, the command line interface provides simple intuitive options for getting started with distributed computing on EC2 (i.e. starting/stopping clusters, managing AMIs, etc). For developers, the library wraps the EC2 API to provide a simplified interface for launching/terminating nodes, executing commands on the nodes, copying files to/from the nodes, etc.
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.