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General Published on: Fri Oct 25 2024

Streamlining Software Development: An Introduction to CI/CD

In the ever-evolving world of technology, the delivery of reliable and robust applications at speed is important. This is where Continuous Integration and Continuous Delivery (CI/CD) comes into picture. This blog post tends to answer the three most important aspects of CI/CD - the what, why and how. 

 

What is CI/CD? 

Continuous Integration Continuous Deployment (CI/CD) is a practice that makes the development and delivery of software efficient. In other words, CI/CD improves the cycle of how software is written, tested and deployed. It does so by automating the integration of new code, testing those changes and then deploying them to production. The objective of automation is to eradicate human error, reduce human intervention and maintain a consistent process throughout software release. 

CI/CD pipeline 

CI/CD pipeline is an agile workflow that enhances the development, testing, deployment processes by using a centralized repository for code, and tools for automation. It allows developers to continually write code, test and make it live seamlessly. These automated stages handle a number of functions, including packaging, code quality checks, compilation, and more. 

 

There are broadly three phases in the life cycle of a CI/CD pipeline: 

Build: The phase where code or code changes are written and compiled 

Test: The quality of the code is evaluated against test cases. 

Deploy: Code is pushed to production environment 

What is Continuous Integration? 

Continuous Integration is the incorporation of new code or changes of code, which are then automatically built and tested. 

The primary goal of CI is to allow prompt detection of errors in the development of software. This paves way for early rectification and improves the quality of software. Automated build and test of code reduces the time and effort required and enables developers to focus on other strategic areas. 

Developers push changes to a common code repository in small commits which are useful for rolling back should anything go wrong. Version control systems also have versatile branching capabilities that enable developers to have their own instance of the repository. This prevents from polluting the original source code of the project. With every code commit, CI automatically builds and tests the changes. When changes from multiple developers are pushed to the main branch, code conflicts may arise. Continuous Integration is helpful to identify and rectify such conflicts as soon as they occur, thus, maintaining a robust development environment. 

 

What does CD in CI/CD mean? Continuous Delivery or Continuous Deployment 

Continuous Delivery extends Continous Integration in the life cycle of a CI/CD pipeline. CD takes the process further by deploying or making the code live. 

Once the testing phase of code is passed, the new version is deployed or released as a new version. 

In Continuous Delivery, newer versions are automatically updated to a repository, like GitHub. After that, a developer can oversee the updated version and push the changes to a live environment. This approach is generally useful for organizations that do not do releases often. 

Continuous Deployment on the other hand works by automating the entire workflow of the Software Development Life Cycle. After successful testing, code is deployed or moved to a production environment automatically. This means code changes can go live within minutes of being written, allowing for rapid user feedback and more frequent updates. This is helpful for websites that need frequent updates, or businesses where delay could incur significant losses such as banking platforms, ecommerce websites and other user centric Saas products. 

Why CI/CD? 

CI/CD is important for modern software development because it helps prevent bugs and code issues by continuously updating and improving software. It simplifies complex tasks, increases efficiency, and streamlines workflows as applications grow. 

CI/CD reduces downtime and accelerates releases by automating the process of moving code from development into production. Quicker updates can be done, and more frequent user feedback yields high-quality software and customer satisfaction. CI/CD also smoothes the development process by finding mistakes early, makes agile methods easier to work with, and brings development and operations together. 

Benefits of CI/CD 

Rapid Development Cycle: 

CI/CD speeds up the development and deployment of software by automation. Once code changes are committed or merged into the main code, they are tested against automated test cases and then deployed to the production environment. This automation makes the workflow faster resulting in quicker and more reliable software release. 

 

Improved Code Quality: 

Continuous testing in CI/CD pipelines allows developers to identify errors at the initial stages of a development cycle, which makes debugging quite efficient. Besides, it allows them to understand which commit of code led to conflicts and hence makes it easier to pinpoint areas of error, optimizing the testing process. Moreover, automated quality checks could be employed for adherence to coding standards. 

 

Reduced Risk: 

CI/CD uses agile methodology to build software iteratively, leading to the release of more manageable and stable software. This lowers risk by promoting smaller updates rather than large ones, making it easier to resolve conflicts or errors if any crop up. 

 

Better Collaboration: 

CI/CD makes collaboration and project coordination easier. It makes use of version control systems that have capabilities including branching, version tracking, concurrent development, among the many. With branching, team members get their own instance of code which allows them to develop on it without polluting the original source code. Version tracking is useful to save snapshots of versions at commits, and rollback in case something goes wrong. Concurrent development paves way for productive development of different features simultaneously. 

 

Increased Operational Efficiency: 

Automation is an important part of all the CI/CD workflows, which eradicates or minimizes the need for manual intervention in building, testing, and deploying software. In turn, it enables developers to focus on other strategic parts of the project, hence improving the productivity at large. 

 

The How? 

CI/CD Tools and Platforms 

Development teams employ tools or platforms for CI/CD. The choice of the best CI/CD tool depends on several factors, such as project complexity, integration needs, team expertise etc. For workflows that are complex and require specification, Jenkins, an open source automation server written in Java stands out. It is flexible and has an enormous plugin ecosystem. CircleCI is popular because of its easy setup and is preferred for projects that are large-scaled. 

Travis CI is another simple continuous integration service used to build and test software projects hosted on GitHub, Bitbucket, GitLab, etc. preferable for projects that are simpler. When the team prefers a comprehensive solution that includes all kinds of features, GitLab CI/CD works well; otherwise, if performance or scalability is a priority, CircleCI may be an alternative. 

In cloud-based continuous integration and continuous deployment, GitHub Actions has strong integrations with GitHub repositories. Other popular choices amongst the many include Azure DevOps and AWS CodePipeline. 

 

Conclusion

CI/CD is more than a development practice. As Nicole Forsgren said "CI/CD is not just about tools and processes; it's about fostering a culture of collaboration and shared ownership." By automating the core steps like integration, testing, and deployment, CI/CD gives room to innovate rapidly and deliver high-quality applications in an effective manner. Embracing CI/CD practices, thus, gives organizations and businesses a competitive edge in today’s market.

Kulsoom Zahra

Associate Application Engineer (Data Engineer)

Kulsoom Zahra is a tech fanatic with a focus on designing and developing efficient data pipelines. Passionate about cloud technologies, she leverages tools like Azure Data Factory to develop scalable solutions for data-driven decision-making. Outside of work, she enjoys exploring new places and trying different cuisines.