Project

Reverse Dependencies for capistrano

The projects listed here declare capistrano as a runtime or development dependency

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A Capistrano recipe that configures AutoScaling on Amazon Web Services infrastructure for your application.
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Fast download and restore dumps using edge features of Postgres 9.x
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Capistrano plugin to deploy your application inside docker containers using docker compose
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Capistrano tasks for automatic and sensible DelayedJob configuration. Enables zero downtime deployments of Rails applications. Configs can be copied to the application using generators and easily customized. Works *only* with Capistrano 3+. Inspired by https://github.com/bruno-/capistrano-unicorn-nginx and http://bl.ocks.org/dv/10370719
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0.02
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Capistrano Detect Migrations lets you detect pending Rails migrations before you deploy to any remote hosts. It leverages Git tagging to determine changes that have happened since the last deployment. At deployment time you can choose to continue to deploy or not after being presented with a list of pending migrations.
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capistrano-ec2tag is a Capistrano plugin designed to simplify the task of deploying to infrastructure hosted on Amazon EC2. It was completely inspired by the capistrano-ec2group plugin, to which all credit is due.
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Capistrano plugin for removing/readd servers to EC2 load balancers
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Capistrano exts is a set of helper tasks to help with the initial server configuration and application provisioning. Things like creating the directory structure, setting up that database, and other one-off you might find yourself doing by hand far too often. It provides many helpful post-deployment tasks to help you import/export database and contents as well as sync one stage with another.
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Capistrano tasks for automating figaro `application.yml` file handling for Rails 4+ apps. This plugins syncs contents of your local figaro file and copies that to the remote server.
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Integrates Capistrano with Github Deployments API
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In order to improve something you have to measure it! This helps you measure performance of your Capistrano deployments by appending performance reports after each Capistrano execution
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