Robusta KRR is a CLI tool for optimizing Kubernetes resource allocation by recommending CPU and memory requests/limits based on Prometheus metrics. It features a modular architecture with pluggable strategies for recommendation algorithms, multiple output formats, and integrations with various Prometheus-compatible systems. The project includes an enforcer component (mutating webhook) for automatic application of recommendations. The codebase demonstrates good engineering practices with clear separation of concerns, proper error handling, and extensible design patterns.
This repository hosts the source code for '深入高可用系统原理与设计' (Deep dive into high availability system principles and design), a technical book covering system architecture, networking, distributed systems, and cloud-native technologies. The content is organized as a VuePress documentation site, transforming markdown files into a navigable web book with features like dark mode toggle, star tracking, and comment integration. The application architecture follows a standard VuePress static site generator pattern: markdown content is processed through VuePress with custom plugins and styling to produce a deployable static website. Key components include a customized layout that adds book-specific elements (purchase QR code, star counter) and implements reactive dark mode detection using MutationObserver. The site is built and deployed via GitHub Actions to an Aliyun server. While the repository excels in content organization and documentation clarity, the underlying VuePress implementation shows some technical drift due to reliance on outdated release-candidate versions of core dependencies. Nevertheless, it demonstrates solid engineering practices in its customizations, particularly in the reusable styling enhancements found in .vuepress/styles/index.scss which address documentation-specific needs like image centering, responsive content width, and print optimization.