Continuous Delivery - CI CD tutorial GCP & CI/CD Development
At continuousdelivery.dev, our mission is to provide valuable insights and resources to software development teams looking to implement continuous integration and continuous delivery (CI/CD) practices. We believe that by adopting CI/CD, teams can improve the quality of their software, increase efficiency, and ultimately deliver better products to their customers. Our goal is to be a trusted source of information and guidance for teams at all stages of their CI/CD journey, from those just starting out to those looking to optimize their existing processes. We are committed to providing high-quality, actionable content that helps teams achieve their goals and succeed in today's fast-paced software development landscape.
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Introduction
Continuous delivery is a software development practice that enables teams to release software updates frequently and reliably. It involves automating the entire software delivery process, from code changes to production deployment. This cheatsheet is a reference guide for beginners who want to learn about continuous delivery and its related concepts.
CI/CD
Continuous Integration (CI) and Continuous Delivery (CD) are two essential practices in continuous delivery. CI is the process of automatically building and testing code changes as soon as they are committed to the source code repository. CD is the process of automatically deploying code changes to production after they have passed all the necessary tests.
CI/CD Pipeline
A CI/CD pipeline is a series of automated steps that code changes go through before they are deployed to production. The pipeline typically includes steps such as building, testing, and deploying code changes. The pipeline can be customized to fit the specific needs of the development team.
Version Control
Version control is a system that tracks changes to code over time. It allows developers to collaborate on code changes and keep track of who made what changes. Git is the most popular version control system used in software development.
Build Automation
Build automation is the process of automating the build process of software. It involves using tools to automatically compile, package, and test code changes. Build automation helps to reduce the time and effort required to build software.
Testing
Testing is an essential part of continuous delivery. It involves running automated tests to ensure that code changes are working as expected. There are different types of tests, including unit tests, integration tests, and end-to-end tests.
Deployment
Deployment is the process of releasing code changes to production. It involves automating the deployment process to ensure that code changes are deployed quickly and reliably. Deployment can be done manually or automatically.
Infrastructure as Code
Infrastructure as Code (IaC) is the practice of managing infrastructure using code. It involves using tools such as Terraform and Ansible to automate the provisioning and configuration of infrastructure. IaC helps to reduce the time and effort required to manage infrastructure.
Containerization
Containerization is the process of packaging software in containers. Containers are lightweight, portable, and self-contained environments that can run anywhere. Docker is the most popular containerization tool used in software development.
Orchestration
Orchestration is the process of managing containers at scale. It involves using tools such as Kubernetes to automate the deployment, scaling, and management of containers. Orchestration helps to ensure that containers are running reliably and efficiently.
Monitoring
Monitoring is the process of tracking the performance and availability of software. It involves using tools such as Prometheus and Grafana to collect and visualize metrics. Monitoring helps to identify and resolve issues before they impact users.
Conclusion
Continuous delivery is a powerful software development practice that enables teams to release software updates frequently and reliably. It involves automating the entire software delivery process, from code changes to production deployment. This cheatsheet is a reference guide for beginners who want to learn about continuous delivery and its related concepts. By mastering these concepts, you can improve the speed, quality, and reliability of your software delivery process.
Common Terms, Definitions and Jargon
1. Continuous Integration (CI): A software development practice where developers frequently merge their code changes into a central repository, which is then automatically built and tested.2. Continuous Delivery (CD): A software development practice where code changes are automatically built, tested, and deployed to production.
3. Pipeline: A set of automated steps that code changes go through from development to production.
4. Build: The process of compiling source code into executable code.
5. Test: The process of verifying that code changes work as expected.
6. Deployment: The process of releasing code changes to production.
7. Artifact: A compiled and packaged version of the code that is ready for deployment.
8. Version Control: A system for tracking changes to code over time.
9. Git: A popular version control system used by many software development teams.
10. Branch: A separate copy of the code that can be worked on independently of the main codebase.
11. Merge: The process of combining changes from one branch into another.
12. Pull Request: A request to merge changes from one branch into another.
13. Code Review: The process of reviewing code changes before they are merged into the main codebase.
14. Continuous Deployment: A software development practice where code changes are automatically deployed to production.
15. Infrastructure as Code (IaC): The practice of managing infrastructure using code.
16. Configuration Management: The process of managing the configuration of servers and other infrastructure.
17. Docker: A containerization platform that allows applications to be packaged and deployed in a consistent manner.
18. Kubernetes: An open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
19. Microservices: A software architecture pattern where applications are broken down into small, independent services.
20. Monolith: A software architecture pattern where applications are built as a single, large codebase.
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