Chef vs VisualOps: 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, VisualOps is detailed as "Visual DevOps Automation for Amazon Web Services". VisualOps has a WYSIWYG editor to design, configure and provision your AWS cloud applications. Once the applications are deployed, VisualOps continuously monitors and manages the apps to ensure they always run in the defined states.
Chef and VisualOps can be primarily classified 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, VisualOps provides the following key features:
- drag-n-drop components to build your AWS infrastructure
- clicks instances to setup the software configuration (package, file, code, etc.)
- single click to deploy, within minutes the app is ready to use!
Chef is an open source tool with 5.85K GitHub stars and 2.36K GitHub forks. Here's a link to Chef's open source repository on GitHub.
What is Chef?
What is VisualOps?
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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