Headscale is an open-source, self-hosted implementation of the Tailscale control plane. It provides a complete VPN solution including user management, node registration, policy enforcement (ACLs, SSH rules, route approvals), API services (v1 and v2), DERP relay capabilities, MagicDNS, and OAuth/OIDC integration. The architecture follows a modular monolith pattern with clear separation between CLI, API, core application logic, state management, policy engine, database layer, and network mapping components. Key entry points include the main CLI command (cmd/headscale/headscale.go) and various subcommands for administration, along with HTTP API handlers for client and management interactions. The system manages the complete lifecycle of a tailnet: authenticating devices, assigning WireGuard keys and IP addresses, enforcing access policies, and distributing network map updates to connected clients.
This repository contains Helm charts and tooling for deploying the Astronomer Platform (a Kubernetes-hosted enterprise data platform for Apache Airflow) into Kubernetes clusters. It provides a modular architecture with subcharts for core components (Houston API, Commander, Navigator, Pilot, Registry) and infrastructure (NGINX, Prometheus, Grafana, Alertmanager, Elasticsearch, Vector, PostgreSQL, NATS). The repository supports multiple deployment topologies (control plane, data plane, unified) and includes enterprise features like high availability, network policies, RBAC, and external secret management. Extensive testing validates chart rendering and functional behavior across Kubernetes versions, with automation scripts for local development, version migration, and cluster setup.
CrawlBar is a native macOS menu bar application and CLI tool that serves as a control plane for local-first crawler CLIs (e.g., GitHub, Slack, Discord, Telegram, Notion, WhatsApp). It discovers crawler manifests (built-in or from ~/.crawlbar/apps/), runs commands to retrieve status, freshness, and database inventory, and supports actions such as sync, publish, doctor, search, and backup. The architecture is strictly layered: a core library (CrawlBarCore) with no UI imports provides all data models, command execution, secret redaction, status normalization, and config storage, while a SwiftUI/AppKit frontend renders a menu bar status item and a settings window. A CLI (crawlbarctl) exposes the same functionality outside the GUI. CrawlBar does not crawl data itself; it orchestrates external CLI crawlers via a standardized manifest and status protocol (crawlkit.control.v1). It enforces privacy by redacting secrets from command output, storing action logs with private permissions, and keeping secrets in the macOS Keychain. The system supports remote execution via SSH and integrates with Cloudflare D1 for remote SQLite archives. 12 built-in crawler manifests are provided, covering major messaging and productivity platforms. The project also includes an extensive self-test suite, CI/CD with notarization, and a quality rubric document for code reviews. The core domain is well-abstracted, with reusable patterns for command running, status mapping, config caching, and action coordination. However, the codebase is macOS-only, relies on hardcoded fallback paths and a manual TOML parser, and has many per-crawler special cases in command argument construction. The maintenance is active (frequent releases, changelog, CI), but technical drift is medium due to ecosystem lock-in and custom infrastructure.