AWS Free Usage Tier * These free tier offers are only available to new AWS customers, and are available for 12 months following your AWS sign-up date. When your 12 month free usage term expires or if your application use exceeds the tiers, you simply pay standard, pay-as-you-go service rates (see each service page for full pricing details). Restrictions apply; see offer terms for more details. ** These free tier offers do not automatically expire at the end of your 12 month AWS Free Tier term, but are available to both existing and new AWS customers indefinitely. † The following Windows variants are not eligible for the free tier: Microsoft Windows Server 2008 R2 with SQL Server Web, Microsoft Windows Server 2008 R2 with SQL Server Standard, Microsoft Windows 2008 R2 64-bit for Cluster Instances and Microsoft Windows 2008 R2 SQL Server 64-bit for Cluster Instances. The Amazon AWS Free Tier applies to participating services across our global regions.
Jelastic OpenShift by Red Hat MCollective The Marionette Collective AKA mcollective is a framework to build server orchestration or parallel job execution systems. Primarily we’ll use it as a means of programmatic execution of Systems Administration actions on clusters of servers. In this regard we operate in the same space as tools like Func, Fabric or Capistrano. We’ve attempted to think out of the box a bit designing this system by not relying on central inventories and tools like SSH, we’re not simply a fancy SSH “for loop”. MCollective use modern tools like Publish Subscribe Middleware and modern philosophies like real time discovery of network resources using meta data and not hostnames. Delivering a very scalable and very fast parallel execution environment. To get an immediate feel for what I am on about you can look at some of the videos on the Screencasts page and then keep reading below for further info and links. What is MCollective and what does it allow you to do Pluggable Core Next Steps and Further Reading
AWS CloudFormation AWS CloudFormation gives developers and systems administrators an easy way to create and manage a collection of related AWS resources, provisioning and updating them in an orderly and predictable fashion. You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order for provisioning AWS services or the subtleties of making those dependencies work. CloudFormation takes care of this for you. You can deploy and update a template and its associated collection of resources (called a stack) by using the AWS Management Console, AWS Command Line Interface, or APIs. AWS CloudFormation supports a wide range of AWS resources, allowing you to build a highly available, reliable, and scalable AWS infrastructure for your application needs. AWS CloudFormation comes today with the following ready-to-run sample templates:
DotCloud - Deployment made simple Stashboard: The open source status dashboard OpenStack