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Capistrano vs Pallet: What are the differences?

What is Capistrano? A remote server automation and deployment tool written in Ruby. Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

What is Pallet? Automates controlling and provisioning cloud server instances. DevOps for the JVM. The machines being managed require no special dependencies to be installed. As long as they have bash and ssh running, they can be used with pallet. Pallet has no central server to set up and maintain - it simply runs on demand. You can run it from anywhere, even over a remote REPL connection.

Capistrano and Pallet can be categorized as "Server Configuration and Automation" tools.

Some of the features offered by Capistrano are:

Reliably deploy web application to any number of machines simultaneously, in sequence or as a rolling set
Automate audits of any number of machines (checking login logs, enumerating uptimes, and/or applying security patches)
Script arbitrary workflows over SSH

On the other hand, Pallet provides the following key features:

Everything in Version Control
Jar File Distribution of Crates
Provisioning, Configuration and Administration

Capistrano and Pallet are both open source tools. It seems that Capistrano with 11.1K GitHub stars and 1.71K forks on GitHub has more adoption than Pallet with 802 GitHub stars and 122 GitHub forks.

What is Capistrano?

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

What is Pallet?

The machines being managed require no special dependencies to be installed. As long as they have bash and ssh running, they can be used with pallet. Pallet has no central server to set up and maintain - it simply runs on demand. You can run it from anywhere, even over a remote REPL connection.

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Capistrano?

Why do developers choose Pallet?

123
Automated deployment with several custom recipes
62
Simple
22
Ruby
11
Release-folders with symlinks
9
Multistage deployment
2
Cryptic syntax
2
Integrated rollback

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What are the cons of using Capistrano?

What are the cons of using Pallet?

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What companies use Capistrano?

What companies use Pallet?

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What tools integrate with Capistrano?

What tools integrate with Pallet?

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What are some alternatives to Capistrano and Pallet?

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

Shipit

Shipit is an automation engine and a deployment tool written for node / iojs. Shipit was built to be a Capistrano alternative for people who don't know ruby, or who experienced some issues with it. If you want to write tasks in JavaScript and enjoy the node ecosystem, Shipit is also for you.

Docker

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

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Decisions about Capistrano and Pallet

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