Source Code management
Source code management (SCM) refers to the practice of tracking and controlling changes to source code. This is usually done by using a dedicated tool, such as Git, which allows developers to collaborate on code, track changes, and roll back to previous versions if necessary. SCM is an essential part of modern software development, as it enables teams to work on the same codebase while minimizing the risk of conflicts and errors. Additionally, SCM tools also provide a way to maintain version history and release management.
Package Management
Package management is the process of managing software packages and their dependencies in an operating system or a programming language. This includes installing, updating, and removing packages, as well as resolving and managing dependencies. Package management systems are used to automate the process of installing, upgrading, configuring and removing software.
A package manager typically maintains a database of software available for installation, keeps track of the software that is currently installed, and can verify the integrity of the software.
Examples of package management systems include apt (Debian, Ubuntu), yum (Red Hat, CentOS), pacman (Arch Linux), Homebrew (macOS), npm (JavaScript), pip (Python), and many others. These package management systems are specific to the operating system, programming languages and platform.
CI/CD pipline
Source code management (SCM) is the practice of tracking and controlling changes to source code using dedicated tools such as Git. Package management is the process of managing software packages and their dependencies in an operating system or a programming language. CI/CD (Continuous Integration/Continuous Deployment) is a set of software development practices that involve automatically building, testing and deploying code changes, with the goal of catching and fixing issues as quickly as possible, and releasing new features and updates as soon as they are ready.
Unit and integration testing
Unit testing is a method of testing individual units or components of a software application, while integration testing is a method of testing how different units of the code work together. The goal of unit testing is to isolate and test each unit of the code in isolation, while the goal of integration testing is to ensure that the interactions between different components of the code are working as expected. Both types of testing are important parts of the software development process, and are often automated and integrated into the CI/CD pipeline, in order to provide fast feedback to the development team.
Project Management
Project management is the process of planning, organizing, and managing resources to complete a specific goal or objective. It involves identifying project objectives, determining scope, creating a timeline, identifying risks, and allocating resources such as time, money, and personnel. Project management methodologies such as Agile, Scrum, Waterfall etc provide frameworks and tools to manage projects efficiently. Project managers are responsible for overseeing the project, coordinating the efforts of the project team, communicating with stakeholders and making decisions that will impact the project’s success.
Deployment
Deployment is the process of making a software application or system live and available to users by preparing, testing, and releasing a new version of the software to a production environment. It can include tasks such as configuring the environment, setting up databases, installing dependencies, and testing the software. Different types of deployment methods like manual deployment, automated deployment, and continuous deployment are available. Deployment is an important step in the software development process and is often integrated into the CI/CD pipeline to ensure that the software is deployed in a fast, consistent, and reliable manner.
Infrastructure automation
Infrastructure automation is the process of automating the provisioning, configuration and management of IT infrastructure, using tools like configuration management tools, such as Ansible, Puppet, Chef, and SaltStack, and Infrastructure as Code (IaC) tools like Terraform, CloudFormation and ARM Templates. This helps in streamlining the process of provisioning and managing IT resources, making it faster and more efficient and reducing the risk of errors. Infrastructure automation enables teams to adopt DevOps practices, faster scaling, better security, and improved disaster recovery, and helps to achieve consistency, repeatability and scalability across the infrastructure.