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Docker CLI - Command Line Interface for Docker Engine
The Docker CLI is the command-line interface for interacting with the Docker daemon, enabling users to build, run, and manage Docker containers, images, networks, and volumes directly from the terminal.
Go
Added on 2025年6月11日5,291
Stars2,001
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LanguageProject Introduction
Summary
This project is the official command-line interface (CLI) for Docker, serving as the primary tool for users to interface with the Docker Engine and Orchestration APIs.
Problem Solved
Provides a powerful and intuitive command-line tool for developers and system administrators to control the Docker engine and manage containerized applications efficiently, abstracting away complex API calls.
Core Features
Image Building
Provides commands to build Docker images from a Dockerfile.
Container Management
Allows starting, stopping, restarting, and viewing running containers.
Network Configuration
Commands for creating, listing, and attaching to Docker networks.
Volume Management
Tools to create, list, inspect, and remove data volumes.
Tech Stack
Go
cobra
containerd
runc
使用场景
The Docker CLI is used extensively across various workflows involving container technology:
Scenario 1: Application Development and Testing
Details
Developers use `docker build`, `docker run`, and `docker exec` to develop, test, and debug applications within containers.
User Value
Rapid iteration on containerized applications and consistent development environments.
Scenario 2: CI/CD Automation
Details
Utilized in CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) for automating image building, pushing to registries, and deploying containers.
User Value
Enables automated, repeatable builds and deployments, improving release velocity and reliability.
Scenario 3: Server Management and Monitoring
Details
Administrators use commands like `docker ps`, `docker logs`, `docker stats`, and `docker system prune` for monitoring, troubleshooting, and managing resources on Docker hosts.
User Value
Provides detailed visibility and control over the Docker environment for efficient operations.
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