pyinfra Alternatives, Similar

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pyinfra

Explanation
pyinfra automates/provisions/manages/deploys infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more. Core design features include:- Super fast - execution over thousands of targets with predictable performance.- Instant debugging - with stdout + stderr output on... read more
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Free
Platforms
Linux BSD

All pyinfra Alternatives

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Ansible

Ansible is a radically simple IT automation engine that automates cloud provisioning, configuration management, application deployment, intra-service orchestration, and many...

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Puppet

Puppet Data Center Automation Solution helps you save time, gain visibility into your server environment, and ensure consistency across your...

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Free

Salt

Salt is a powerful remote execution manager that can be used to administer and provision servers in a fast and...

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Free

Chef

Chef is an open source systems integration framework built to bring the benefits of configuration management to your entire infrastructure....

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Free

Fabric

Fabric is a Python library and command-line tool for streamlining the use of SSH for application deployment or systems administration...

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Free

Rudder

Rudder is an easy to use, web-driven, role-based solution for IT Infrastructure Automation and Compliance. With a focus on continuously...

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Free

RunDeck

RunDeck is an open source automation service with a web console, command line tools and a WebAPI. It lets you...

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Commando.io

A simpler way to manage servers online. Commando.io empowers users to be more efficient, improve their workflow, and eliminate anxiety...

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Free

Foreman

Foreman is an open source project that helps system administrators manage servers throughout their lifecycle, from provisioning and configuration to...

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pyinfra About

pyinfra automates/provisions/manages/deploys infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more. Core design features include:

– Super fast – execution over thousands of targets with predictable performance.
– Instant debugging – with stdout + stderr output on error, and `-v` to print it always.
– Agentless execution – by speaking native SSH/Docker/subprocess depending on the target.
-Two stage process – that enables `–dry` runs before making any changes.
– Extendable – with _any_ Python package as configured & written in standard Python.
– Integrated – with Docker, Vagrant/Mech & Ansible out of the box.

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