/plushcap/analysis/launchdarkly/trunk-based-development-with-kubernetes

Trunk-Based Development with Kubernetes

What's this blog post about?

Team collaboration is crucial in ensuring developers work together to develop and deliver products on time. Two main approaches for version control are feature branches and trunk-based development. Trunk-based development involves dividing tasks into smaller batches, collaborating from separate branches, and frequently merging them into a single branch called the trunk. This approach accelerates software release and allows for microservice architectures. Trunk-based development with Kubernetes can be challenging due to isolated services developed by different team members. However, it is possible to power this strategy using Kubernetes, which increases infrastructure use by efficiently sharing computing resources. To implement trunk-based development with Kubernetes, developers should create a feature branch from the source code main repository, perform adequate testing before merging changes to the trunk, and merge the feature branch into the trunk when work is complete. Trunk-based development significantly accelerates CI/CD processes in DevOps teams by facilitating and streamlining the merging and integration phases. It allows for building and deploying services independently, implementing new features faster, improving software quality, and encouraging cross-collaboration among development teams. Best practices for using trunk-based development include developing in small batches, using feature flags, executing comprehensive automated testing, conducting code reviews, and frequent merging with the trunk. Kubernetes microservice architecture offers an excellent way to achieve complete CI/CD through trunk-based development by splitting monolithic applications into microservice clusters, speeding up the development process, and ensuring efficient resource allocation.

Company
LaunchDarkly

Date published
Nov. 22, 2022

Author(s)
LaunchDarkly

Word count
1311

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.