yeasy/docker_practice

最新Docker容器技术,从真实案例中学习最佳实践!| Learn and understand Docker&Container technologies, with real DevOps practice!

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yeasy/docker_practice has 26k+ stars and 5.5k+ forks on GitHub, is written in Go, and was last pushed on Oct 14, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 14 minutes ago
Added to GitGenius on September 2nd, 2026
Created on September 5th, 2014
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 5,777
Total Stargazers: 26,308 (+0)
Total Subscribers: 806 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.6 hours
Mean response time: 226.1 days
90th percentile: 503.5 days
Tracked items: 15

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • help wanted (2)
  • area/kubernetes (1)
  • question (1)

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Detailed Description

Docker Practice is a comprehensive educational book that teaches Docker container technologies and DevOps practices through real-world examples and hands-on guidance.

The book addresses the need for developers, operations personnel, and IT professionals to understand Docker's core concepts and practical applications. It structures learning progressively, beginning with foundational Docker concepts like images, containers, and repositories, then advancing through Dockerfile instructions, data management, networking, and orchestration tools like Kubernetes and Etcd. The approach combines theoretical understanding of underlying implementation technologies with practical deployment scenarios and security considerations.

The material suits learners with basic Linux knowledge who want to master Docker systematically. It provides tailored learning paths for different roles: operations newcomers focus on chapters covering basic concepts and operations, application developers progress through containerization and deployment, DevOps engineers study orchestration and automation, and architects explore infrastructure design across container technologies. The book extends beyond Docker itself to related ecosystem projects including Podman, Fedora CoreOS, Prometheus for monitoring, and ELK for log aggregation, offering context for how Docker fits within broader cloud computing and container landscapes.

The project maintains an online GitBook version for web-based reading alongside a GitHub repository structure. Offline PDF versions are available through releases, including a preview version that updates with the main branch. The material spans twenty-one chapters organized into four progression levels: foundational concepts, advanced configuration and management, underlying implementation principles, and practical extensions covering security, monitoring, and CI/CD automation.