Chef vs Pallet: What are the differences?
Developers describe Chef as "Build, destroy and rebuild servers on any public or private cloud". 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. On the other hand, Pallet is detailed as "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.
Chef and Pallet can be categorized as "Server Configuration and Automation" tools.
Some of the features offered by Chef are:
- Access to 800+ Reusable Cookbooks
- Integration with Leading Cloud Providers
- Enterprise Platform Support including Windows and Solaris
On the other hand, Pallet provides the following key features:
- Everything in Version Control
- Jar File Distribution of Crates
- Provisioning, Configuration and Administration
Chef and Pallet are both open source tools. It seems that Chef with 5.85K GitHub stars and 2.36K forks on GitHub has more adoption than Pallet with 802 GitHub stars and 122 GitHub forks.
What is Chef?
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Since #ATComputing is a vendor independent Linux and open source specialist, we do not have a favorite Linux distribution. We mainly use Ubuntu , Centos Debian , Red Hat Enterprise Linux and Fedora during our daily work. These are also the distributions we see most often used in our customers environments.
For our #ci/cd training, we use an open source pipeline that is build around Visual Studio Code , Jenkins , VirtualBox , GitHub , Docker Kubernetes and Google Compute Engine.
For #ServerConfigurationAndAutomation, we have embraced and contributed to Ansible mainly because it is not only flexible and powerful, but also straightforward and easier to learn than some other (open source) solutions. On the other hand: we are not affraid of Puppet Labs and Chef either.
Currently, our most popular #programming #Language course is Python . The reason Python is so popular has to do with it's versatility, but also with its low complexity. This helps sysadmins to write scripts or simple programs to make their job less repetitive and automating things more fun. Python is also widely used to communicate with (REST) API's and for data analysis.
Out custom recipes makes it simple for developers bootstrap process (using vagrant) and that same recipe is also the one that is used to prep instances