Kubernetes Command Line Management Tools

This project is a terminal-based dashboard for managing Kubernetes clusters. It provides a character-based interface that enables real-time monitoring and interactive control of containerized workloads, allowing users to perform administrative tasks such as scaling deployments, viewing logs, and managing port forwarding directly from the command line. The interface is designed for high-speed navigation, utilizing a keyboard-driven command system that maps input sequences to specific operational actions. It maintains an accurate view of the cluster state through asynchronous event polling, ensuring that the displayed data remains responsive. The environment is highly extensible, supporting a plugin architecture that allows for the integration of custom binaries and ad-hoc commands into the existing menu system. Beyond core management, the tool includes capabilities for security administration, including the management and auditing of role-based access control permissions. Users can customize their workspace through declarative configuration files, which allow for the definition of custom table columns, data parsing rules, and visual themes. The platform also incorporates diagnostic utilities for analyzing network service performance and throughput.

Btop is a terminal-based system monitor that tracks and displays real-time hardware performance metrics. It functions as a resource usage dashboard, providing visibility into processor, memory, disk, network, and active process activity directly within a text-based interface. The application utilizes ANSI escape sequences to render complex graphical interfaces and data visualizations within standard terminal emulators. It is designed as a cross-platform performance tool, maintaining consistent monitoring capabilities across various Unix-like operating systems through a platform-agnostic build abstraction. Users can manage the application's runtime behavior and visual configuration through command-line arguments or persistent local configuration files. The tool supports granular control over settings such as update rates, themes, and process filters, and includes functionality for monitoring graphics hardware performance.

Dockge is a web-based management interface for containerized applications that utilizes configuration files as the primary source of truth. It provides a centralized dashboard for orchestrating container stacks, allowing users to create, edit, and control services directly through a graphical interface rather than the command line. The platform distinguishes itself by offering a migration utility that converts manual container execution commands into structured configuration files. It supports the management of distributed infrastructure by connecting to multiple remote hosts from a single interface, enabling the oversight of container environments across different servers and locations without requiring local daemon installations on those remote targets. The system includes comprehensive observability tools, such as real-time terminal streaming that pipes container logs and process output directly to the browser. All configuration data and operational states are persisted on the local filesystem, ensuring consistency across service restarts and providing a transparent view of the underlying stack definitions.

Flux is a Kubernetes GitOps controller and deployment engine that synchronizes cluster state with configurations stored in a Git repository. It serves as a system for continuous delivery, utilizing a manifest generator to create configuration files from templates and a reconciliation loop to ensure the live environment matches the desired state defined in versioned repositories. The project distinguishes itself through a container image automator that scans registries and updates manifests based on semantic versioning or regular expressions. It incorporates secure configuration deployment via GPG commit signature verification and a secret decrypter that converts encrypted files into plain text at runtime. The toolset covers declarative infrastructure automation, including workload rollout management and the pruning of resources no longer present in the source repository. It also provides performance metrics exposure for external monitoring and command-line utilities for repository bootstrapping.