Chef is a configuration management tool that uses a Ruby-based domain-specific language (DSL). Users can write “recipes” and “cookbooks” to automate infrastructure configuration. You can use tools provided b
Learn about the benefits and features of the DevOps lifecycle, and how to use communication and collaboration to deliver better quality code, faster!
Chef Inspec: This is a policy language with a human-readable syntax that allows you to write compliance tests. Working of DevOps DevOps is the process of integrating development (Dev) and operations (Ops) collaboratively to increase the efficiency of software delivery. The following are its ke...
You can use Development and Operations (or DevOps) tools to create realtime experiences in a more efficient and streamlined way. By the end of this tutorial, you’ll be able to do the following: Explain what DevOps is and why it is useful for creators. D
C++ language conformance improvements in Visual Studio 2022 17.3 C++ Conformance improvements, behavior changes, and bug fixes in Visual Studio 2022 A partial list of new features in 17.3: The Arm64EC toolchain is no longer marked as experimental and is ready for production use. The Visual Studio...
It aims to use continuous integration and continuous delivery and is built on the solid foundations of CI/CD pipelines, which consistently check, create, and implement. It is compatible with almost every language, including Python, Android, C, PHP, C++, and others. Why Azure DevOps Pipeline?
Selenium is an open-source tool used for automating web services and can only be used for web applications. Moreover, the testing scripts can be written in any programming language and is compatible with any browser or operating system. Selenium can also be integrated with Docker or Jenkins to...
Using modernDevOps Toolslike Chef, Docker, Ansible, Packer, Troposphere, Consul, Jenkins, SonarQube, AWS, etc. does not mean that you are applying DevOps principles. DevOps is a way of thinking. We are all part of the same process, we share the same time and deliver value together. Ev...
“When you work as a DevOps, the knowledge of a programming language such as Python is a big bonus in the process of automation.” —Mariusz Tomczyk The fact that Python is a good choice for DevOps is confirmed by Emil Krawczak, who lists the areas where the language can be successful...
Besides being the tool to put MLOps into practice, the machine learning pipeline also improves large model training's efficiency and reduces cost. Taking modern natural language model training as an example. It requires pre-processing large amounts of data and GPU intensive transformer model trainin...