Puppet Labs vs CloudSlang: What are the differences?
Developers describe Puppet Labs as "Server automation framework and application". Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification. On the other hand, CloudSlang is detailed as "An open source tool for orchestrating cutting edge technologies". It can orchestrate anything you can imagine in an agentless manner. You can use or customize ready-made YAML based workflows. They are powerful, shareable and human readable. Modernize your IT with it.
Puppet Labs and CloudSlang can be primarily classified as "Server Configuration and Automation" tools.
Some of the features offered by Puppet Labs are:
- Insight- Puppet Enterprise's event inspector gives immediate and actionable insight into your environment, showing you what changed, where and how by classes, nodes and resources.
- Discovery- Puppet Enterprise delivers a dynamic and fully-pluggable discovery service that allows you to take advantage of any data source or real-time query results to quickly locate, identify and group cloud nodes.
- Provisioning- Automatically provision and configure bare metal, virtual, and private or public cloud capacity, all from a single pane. Save time getting your cloud projects off the ground by reusing the same configuration modules you set up for your physical deployments.
On the other hand, CloudSlang provides the following key features:
- Process based
- Ready-made content
- Agentless
Puppet Labs and CloudSlang are both open source tools. It seems that Puppet Labs with 5.45K GitHub stars and 2.11K forks on GitHub has more adoption than CloudSlang with 195 GitHub stars and 70 GitHub forks.