Repositories are grouped by engineering role and read as evolving systems. Start from the architecture, then inspect development pulse, releases, decisions, verification and lessons.
Standards shape the baseline, the baseline supports the platform, focused capabilities close gaps, and workloads exercise the whole system.
The map is intentionally read top-to-bottom on mobile: engineering rules create a reproducible baseline, the platform integrates shared capabilities, and workloads expose the seams that need verification.
Started date, commits, releases and recent activity make ongoing engineering visible without turning the page into a popularity dashboard.
The same reading order is used across project detail pages so different OSS can be compared by engineering judgement, not by repository size.
A reproducible and verifiable Kubernetes Internal Developer Platform
Integrating dozens of cloud-native components creates recurring DNS, TLS, identity, networking, startup-order, and version-compatibility failures that must be re-proven after upgrades
Integrate 35 GitOps-managed applications into one reproducible IDP and turn 263 documented incidents into 51 CI regression checks plus live cluster verification
Operations and developer workbench for the Narwhal Kubernetes Internal Developer Platform
A Kubernetes IDP can expose dozens of independent dashboards while leaving platform-wide state, relationships, and operator workflows fragmented
A unified Next.js portal that presents cluster, application, catalog, security, cost, governance, and onboarding workflows as one operational surface
A local Kubernetes data platform connecting Kafka, CDC, Flink, Iceberg, Trino, Superset, and Airflow
Each modern data-platform component is easy to deploy in isolation, but reproducing CDC, streaming, lakehouse, query, BI, and orchestration boundaries consistently is difficult on a local machine
A reproducible k3s-based reference platform using Vagrant, Helm, and Argo CD GitOps, validated through real end-to-end clickstream and PostgreSQL CDC flows
An Apple Silicon hybrid MLOps desktop app separating Kubernetes control from native macOS MLX compute
Apple Silicon Metal compute cannot simply be treated as ordinary Linux VM compute, so an all-in-Kubernetes MLOps architecture leaves local hardware underused
Run the MLOps control plane on K3s/Colima while executing GPU-bound MLX fine-tuning and serving as native macOS processes behind a Tauri desktop experience
Kubernetes-ready Ubuntu 24.04/26.04 LTS Vagrant Base Boxes for ARM64/AMD64, ext4/XFS, and local hypervisors
Local Kubernetes projects repeatedly rebuild the same OS, kernel, networking, storage, and diagnostic baseline across architectures and hypervisors
Reproducible Ubuntu Vagrant base boxes built with Packer so higher-level Kubernetes projects can start from a consistent node-ready operating system
An OpenLDAP Kubernetes packaging stack built from upstream source: server, management UI, Helm, and offline delivery
OpenLDAP deployment options often combine stale images, inconsistent packaging, default-credential risks, and incomplete ARM64/offline support
Build OpenLDAP 2.6.14 from the upstream tarball and package it with zero-default-passwords, multi-architecture images, a management UI, Helm, backup/restore, offline bundles, and release evidence
Kubernetes agent that enforces filesystem Project Quotas for NFS PersistentVolumes
Kubernetes NFS PersistentVolumes can expose requested capacity without enforcing an equivalent filesystem-level limit on the shared NFS storage
A node-local agent that watches NFS PVs and applies filesystem Project Quotas on the actual NFS server using XFS, ext4, or Btrfs quota mechanisms
Multi-agent orchestration rules for Cursor IDE
An OSS engineering foundation combining a blueprint, Engineering Operating Model, executable governance, agent security, and a portfolio control plane
A macOS desktop tool that discovers frequently recreated VM/Kubernetes environments and automates SSH and kubeconfig access around stable Profiles
An early control-plane project establishing architecture and contracts for connecting Beluga services through common domains
A Physical AI infrastructure experiment that preserves semantic event and action contracts from simulation to edge hardware
