Capistrano
The Ruby equivalent of Fabric, Capistrano is a Ruby framework to configure and run deployment or system administration tasks on local or remote machines. It extends the Rake DSL to define tasks, and can group tasks by Roles.
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Djangy
An open source cloud hosting service for Python/Django web applications. Its like an open source Heroku for python/django
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Fabric
Fabric is a python framework to configure deployment or system administration tasks, and then run those tasks on local or remote systems. It uses SSH heavily for interacting with remote systems, and uses Roles to group tasks
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Fog
The Ruby Cloud API library. Provides a Ruby API for interacting and managing many cloud providers, such as spinning up new instances, terminating old ones, attaching storage, etc. Currently supports more than 20 providers, including EC2, Rackspace, Brightbox, etc.
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Apache Libcloud
Python library for interacting with many of the popular cloud service providers using a unified API.
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Mina
A Ruby Rake-like DSL for fast deployment and automation, similar to Capistrano but faster and lesser overhead, since it creates only a single SSH connection for a deploy
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Orc
A model driven orchestration tool for deployment of application clusters
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Pulumi
Create, deploy, and manage Cloud Native infrastructure, as real code. A single toolset for infrastructure, managed services, containers, and serverless environments on any cloud infrastructure. You get all the benefits of real programming languages; IDEs, abstractions and reuse thanks to functions, classes, and packages, debugging, testability, and more
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Rex
A agent-less server orchestration tool built on Perl
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SaltStack
Salt is a powerful and different approach to infrastructure management, by focusing on high speed communications between large number of systems, and can perform orchestration, remote code execution and much more.
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Vaurien
A Chaos Monkey for TCP, it randomly disconnects or stalls TCP connections in your application to test application tolerance and high availability. Makes sure you correctly handle these unexpected events
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