Chef vs Webmin: 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, Webmin is detailed as "*A web-based system configuration tool *". It is a web-based interface for system administration for Unix. Using any modern web browser, you can setup user accounts, Apache, DNS, file sharing and much more. It removes the need to manually edit Unix configuration files.
Chef and Webmin belong to "Server Configuration and Automation" category of the tech stack.
Chef and Webmin are both open source tools. It seems that Chef with 5.89K GitHub stars and 2.35K forks on GitHub has more adoption than Webmin with 1.04K GitHub stars and 307 GitHub forks.
What is Chef?
What is Webmin?
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What are the cons of using Webmin?
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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