Chef vs Octopus Deploy: What are the differences?
What is Chef? 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.
What is Octopus Deploy? Automated deployment for .NET. Octopus works with your build server to enable reliable, secure, automated releases of ASP.NET applications and Windows Services into test, staging and production environments, whether they are in the cloud or on-premises.
Chef and Octopus Deploy are primarily classified as "Server Configuration and Automation" and "Deployment as a Service" tools respectively.
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, Octopus Deploy provides the following key features:
- Deploy on-premises or to the cloud, securely
- Built for .NET developers
- Configuration and scripting
"Dynamic and idempotent server configuration" is the primary reason why developers consider Chef over the competitors, whereas "Powerful" was stated as the key factor in picking Octopus Deploy.
Chef is an open source tool with 5.83K GitHub stars and 2.35K GitHub forks. Here's a link to Chef's open source repository on GitHub.
According to the StackShare community, Chef has a broader approval, being mentioned in 359 company stacks & 80 developers stacks; compared to Octopus Deploy, which is listed in 45 company stacks and 15 developer stacks.
What is Chef?
What is Octopus Deploy?
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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.
Using this in an environment with about 10 separate development teams. All the teams love this product and how easy it is to get started. It's very well put together, elegant, simple UI that is powerful to use, easy to understand and follow. I HIGHLY recommend this product to any shop.
It says it's for .NET and it's geared for that. But you could use it for just about any type of deployment given it's capabilities to deploy via FTP.
This is our CD platform. We use TFS for gated-checks and release builds. A release build packages all our components, pushes these packages to Octopus and triggers a release into our Development environment. A suite of integration tests are run and finally if all is successful the team gets a notification on Slack that a new release is available. This can then get promoted through all our non-production environments, Finally, we use offline deployments as we are not yet allowed to promote all the way to production from Octopus. Offline deployments are great as they allow us to retain our tried and tested deployment process but instead, humans become the tentacles when deploying in prod and pre-prod.
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