docker_practice open source analysis

Learn and understand Docker&Container technologies, with real DevOps practice!

Project overview

⭐ 25791 · Go · Last activity on GitHub: 2026-01-12

GitHub: https://github.com/yeasy/docker_practice

Why it matters for engineering teams

docker_practice addresses the practical need for engineers to gain hands-on experience with Docker and container technologies in real-world DevOps scenarios. It is particularly valuable for engineering teams focused on cloud computing, container orchestration, and infrastructure automation, including roles like DevOps engineers, site reliability engineers, and backend developers. The project is mature and widely adopted, with a strong community and proven reliability as a production ready solution. However, it may not be the best fit for teams seeking lightweight container runtimes or those working in highly specialised environments where custom container solutions are required.

When to use this project

This project is an excellent choice when teams want a comprehensive, open source tool for engineering teams to learn and implement containerisation and orchestration with Docker and Kubernetes. Teams should consider alternatives if their focus is on minimal container environments or if they require enterprise-grade support and features beyond the scope of this community-driven repository.

Team fit and typical use cases

DevOps engineers and platform engineers benefit most from docker_practice, using it to build, deploy, and manage containerised applications in production environments. It is commonly employed in products involving cloud infrastructure, microservices, and continuous integration pipelines, offering a self hosted option for container orchestration practice and real-world DevOps workflows.

Topics and ecosystem

book cloud-computing container devops docker kubernetes linux mesos spark swarm

Activity and freshness

Latest commit on GitHub: 2026-01-12. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.