4 个仓库
Terminal-based tools for interacting with and managing infrastructure or container services.
Distinguishing note: No existing candidates provided; focuses on the CLI aspect of container management.
Explore 4 awesome GitHub repositories matching devops & infrastructure · Command Line Interfaces. Refine with filters or upvote what's useful.
Docker Compose is a tool for defining and running multi-container applications through declarative configuration files. It functions as an application lifecycle manager, coordinating the startup, shutdown, and scaling of interconnected services within isolated environments. By using a standardized configuration format, it enables infrastructure as code, allowing developers to manage complex application stacks and their dependencies in a single, repeatable file. The project distinguishes itself by integrating directly with the broader Docker platform, leveraging a client-server architecture wh
Provides a command-line interface to manage the lifecycle of multi-container applications defined through declarative configuration.
The AWS Command Line Interface is a terminal tool and API client used to manage and automate Amazon Web Services infrastructure. It functions as a cloud resource management tool that allows for the creation, configuration, and modification of cloud services through a unified set of commands. The tool provides mechanisms to route authenticated requests to global and region-specific service endpoints. It manages identity keys and access profiles through environment variables and configuration files to authenticate requests across different cloud accounts. The interface supports cloud resource
Provides a terminal-based interface for managing and automating cloud infrastructure services.
This project is a Kubernetes certification study guide and hands-on lab designed to prepare candidates for the Certified Kubernetes Application Developer exam. It provides a containerized learning sandbox and a resource validator to simulate real-world cluster configuration challenges. The environment uses scenario-based learning modules that require the implementation of pods, network policies, and persistent volumes. Correctness is verified through automated cluster queries that check the state of resources against defined expectations. The exercises cover a broad capability surface includ
Provides terminal-based tools to interact with and validate the state of Kubernetes cluster resources.
该项目为实现 Kubernetes 容器运行时接口(CRI)的容器运行时提供了一套诊断和验证工具。它作为一个命令行界面,用于直接在宿主机上交互和管理容器生命周期、镜像和沙箱,而无需部署完整的集群。 该工具集通过专注于接口合规性和性能验证而脱颖而出。它包含自动化测试套件,用于验证运行时是否符合定义的接口规范并正确处理资源插件集成。此外,它还提供基准测试功能来衡量容器操作的延迟和吞吐量,以及用于检查运行时状态和通过可配置的重试与超时策略进行连接故障排除的工具。 除了核心验证外,该项目还支持诸如在活跃容器内执行命令、管理容器检查点以及监控资源使用指标等操作任务。它还包括测试交互式会话流数据连接稳定性的功能,确保端口转发和附加操作按预期运行。
Provides a diagnostic tool for interacting with and validating container runtimes that implement the Kubernetes Container Runtime Interface.