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Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images. | A minimalist Vim plugin manager. |
Super fast infrastructure deployment. Packer images allow you to launch completely provisioned and configured machines in seconds, rather than several minutes or hours.;Multi-provider portability. Because Packer creates identical images for multiple platforms, you can run production in AWS, staging/QA in a private cloud like OpenStack, and development in desktop virtualization solutions such as VMware or VirtualBox.;Improved stability. Packer installs and configures all the software for a machine at the time the image is built. If there are bugs in these scripts, they'll be caught early, rather than several minutes after a machine is launched.;Greater testability. After a machine image is built, that machine image can be quickly launched and smoke tested to verify that things appear to be working. If they are, you can be confident that any other machines launched from that image will function properly. | Easier to setup: Single file. No boilerplate code required.;Easier to use: Concise, intuitive syntax;Super-fast parallel installation/update (requires +ruby);On-demand loading to achieve fast startup time;Post-update hooks;Can choose a specific branch or tag for each plugin;Support for externally managed plugins |
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GitHub Stars - | GitHub Stars 35.4K |
GitHub Forks - | GitHub Forks 2.0K |
Stacks 575 | Stacks 71 |
Followers 566 | Followers 100 |
Votes 41 | Votes 17 |
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You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Since version 0.101.0 and later Spacemacs totally abolishes the frontiers between Vim and Emacs. The user can now choose his/her preferred editing style and enjoy all the Spacemacs features. Even better, it is possible to dynamically switch between the two styles seamlessly which makes it possible for programmers with different styles to do seat pair programming using the same editor.

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

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