Chef vs Docker: What are the Differences?


Today, the increasing use of cloud and virtualization platforms has increased the need for new services. There are many new features in the IT industry with DevOps tools that make it difficult to use the right DevOps platform or configuration controls. Though it has become an integral part of various industries, from start-ups to large companies using DevOps enhanced equipment to support their business processes and project plans through to delivery. By following this article, one will get to know about the DevOps tool, Chef and Dockers, and likewise, their differences cross wisely.

Chef – Know about it!

The Configuration Management Tool, with respect to Chef, provides fast, scalable and flexible information technology. The automation tool of Chef is supposed to work on “recipes” for server settings, databases, and load balancing. The recipes the Chef uses to automate infrastructure projects are in the form of a guide. They help define the component infrastructure and how it is distributed, configured, and managed. Chef’s configuration policy allows users with development tools to define infrastructure code, test configuration updates, infrastructure structures, and cloud examples. Chef, a leading infrastructure tool such as Code, manages software in client-server mode, and Chef-solo autonomous mode classifies JSON file settings from cookbooks. Therefore, DevOps Chef training is considered by several organizations to provide basic knowledge.

What is Docker Compose?

Define and run applications in multiple containers in Docker. With Compose, you define applications in multiple containers in a single container and run a single command application that does everything to succeed. Docker is a container software technology that allows users to create, use, run, and manage applications in containers. Based on the Linux Containers (LxC), it offers application or infrastructure developers and IT the freedom to create virtual environments and provides a platform for better innovation and collaboration. However, Docker design is a module that allows users to safely build applications both indoors and in the cloud – seamlessly merging with the current environment. The Docker client and web services architecture enables the client to work with a daemon – helping clients create, process, and execute container distribution. Its standardization feature allows developers to more effectively detect and repair bugs and edit Docker images. Users can create a single image and use it at all stages of use. On account of this, several businesses refereed Docker certification for the sake of their growth.

What Are They Actually…

The life-cycle of Docker initiated as an “open-source” parallel project called dot-Cloud. But as the composers realized their prospective and significance, it rapidly set up as a priority for them. On the other hand, the language based on Go only develops Linux devices and uses LxC in order to create a Virtual Environment (V-E). Look at the kids now, because V-E’s are very contrasting through the Virtual-Machines (V-M). The virtual machine is created using a virtualization tool or simulator and is a complete image of the native machine, including operating systems, disk configuration, networking accordingly. However, the resultant inflated mass takes up a lot of space and can be used and launched.

On the other side, it likewise later generates zero packets from the initial nuclear engine. Recording only records changes in the “infrastructure” and not in the entire machine configuration (unlike VMs). It stores name-spaces and might be individually configured to create the perfect environment for all Docker compatible hosts. Thus, the holders of Docker certification are supposed to practice such work accordingly. Whereas, “Chef” is determining as a tool based on Configuration Management (C-M). For Puppets, the big guys are considering to be in the CM market. On the other hand, it helps managers and developers to manage their environment, likewise, DevOps Chef training also supposed to provide them, and let them make changes easier to use.


By considering the working of both, it is believed that “Dockers” do not build their devices or machines based on virtualization with dedicated operating systems and hardware processors and simulations. However, a V-E is a lightweight V-M; based on the existing main picture of the component and simply generates a “container” for running applications. All the same, it is responsible to reproduce the operating system because the operating system is simply supposed as some other program that is obliged to runs on “kernel.” On the other side, the Chef uses a master proxy device, where a centralized central data processor adjusts, and transmit instructions to many agents located at every other client node, though this is only possible after the proper DevOps Chef training. Nevertheless, the client can easily use agents with the help of a knife and SSH. Though, that is all controlled by a graphical user interface or CLI with a Ruby database such as DSL. A graphical interface is multi-purpose, but at the same time for the most advanced Ruby tasks, we must inevitably learn. Although “Chef” is supposed to use infrastructure models like code – for efficient operation, all managed infrastructure nodes need to be able to express code only. Although a warning – a captain switching agent to an agent cuts workers. The advice for cluttered fun is to put your representatives on a “home call.”

In Conclusion…!

So whenever the question arises that who’s better, either “Docker” or “Chef?” As far as going along with many difficult decision-making options, the most prominent response is it always depends on the requirements. However, depending on what is the demand that one is supposed to come through, and believe in the appliance – whereas the Chef is considering as the proven tool, all the same, the practice of Docker certification is supposed to be new enough, and not even tempted to propose in a production environment. However, Docker and the Chef can really even get to know both each-other.