Brooklyn

A Java based deployment tool, focused on both deployment as well as post-deploy lifecycle management. It is aware of network topologies, integrates with many cloud and PaaS APIs, and is designed to handle the entire roll-out

     

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CloudRepo

Public and Private Maven and Python (PyPi) repositories. Fully managed and highly available repository hosting.

     

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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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Gerrit

A Web based code review and project management system for Git projects

     

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Instrumental

Instrumental is a real-time, high-scale application and server monitoring tool with intelligent alerts, a powerful query language, and free development accounts.

     

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jclouds

A Java Library for controlling cloud resources, with various plugins for many popular cloud providers.

     

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KairosDB

KairosDB is a fast distributed scalable time series database written on top of Cassandra. RESTful JSON-based query/results. Includes flot-based visualization.

     

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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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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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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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SignalFx

SignalFx is an advanced monitoring and alerting solution for modern infrastructure. With SignalFx, development and operations teams monitor, analyze, and alert in real-time on any time series data.

     

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Supervisor

Supervisor can manage application processes. It can start and stop a group of processes, restart processes if any of them terminate (keep-alive), start multiple instances of the same process (process pooling), automatically manage PID files, and much more! Very useful if you need to manage multiple processes for your application.

     

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