Showing 30 of 422 · Category: Kubernetes
Production-style homelab: Proxmox + K3s managed as code (Terraform, Ansible, Argo CD), full observability, AWS-backed secrets and backups
Terraform-provisioned AWS 3-tier backend on Amazon EKS with VPC, RDS, ECR, IAM, External Secrets, and GitLab CI/CD
Machine learning (MLOps) experiment tracking, hyperparameter tuning, model evaluation, model registry, and deployment using MLflow and Python.
Kubernetes guardrails that know your cluster: check and safely fix manifests, Helm charts and Kustomize, check cluster fit, and enforce the same rules as ValidatingAdmissionPolicy or Kyverno. CLI, kubectl plugin, GitHub Action, MCP server.
GitOps-governed fleet manager for OpenTelemetry Collectors, built on OpAMP. Git sets the frame, the UI operates, every action is audited.
Offline infrastructure attack path analysis for Docker Compose, Kubernetes and Terraform: graph engine, 41 rules, what-if remediation, SARIF
Native Kubernetes desktop app in Rust + GPUI. No Electron, no web runtime. Alpha, macOS and Windows; Linux planned.
Kubernetes control planes as pods on a management cluster, one ControlPlane per tenant cluster
kubectl plugin that explains why a container or pod died or restarted, with evidence and confidence labels
Agentic, scanner-grounded code review for the whole PR: app code, infrastructure (Kubernetes, Docker, Terraform, GitHub Actions) and AI/LLM/agent code (OWASP LLM Top 10, MCP, agent skills).
Spellwarden Infra Pack: skills for infrastructure operations, for Claude Code.
Internal developer platform: self-service cloud and Kubernetes resources on Terraform, plus an incident agent platform with guardrails, evals, traces and audit. Everything runs locally on kind, LocalStack and Ollama.
NeMo Guardrails Docker image: OpenAI-compatible LLM guardrails server. Non-root, signed
Agnostic, sovereign local AI tutor for technical books (Hybrid RAG + Agentic Loop + MCP Server + GraphRAG)
A containerized API deployed to a multi-node Kubernetes environment local cluster
FYOS (For Your Own Sake): a personal operating system in the browser - desktop shell, MCP hub and installer. Runs entirely on your side.
Event-driven e-commerce backend: 13 FastAPI microservices with service-owned PostgreSQL, Kafka outbox/inbox, Saga checkout, RabbitMQ workers, Redis, S3, observability, and Kubernetes/Helm delivery.
Reusable AffineScript libraries (design stage): a KYAML (Kubernetes YAML) lexer/AST/parser draft, with jq-style query DSLs, Kubernetes lint rules, data structures and FFI bindings planned. Intended core of kcq.
BASIS is a Platform as a Service on Kubernetes for building generative AI services on sovereign infrastructure you own.
Distributed job processing platform built with Spring Boot, Go, Kafka, and Kubernetes. Features KEDA autoscaling, crash recovery, and real-time monitoring.
Sample tenant: the payments domain, deployed and promoted by the platform.
Kubernetes operator for reviewed AI workflows, artifact verification, evaluation, and explicit promotion.
DLR (Decoupled Logic Representation) + Three-Level Semantic Modeling (TSM) — a data-source-level semantic-layer paradigm, its TypeScript service (LanceDB + Neo4j), the dsh integration, and two benchmark scenarios: BIRD mini-dev (500/500) and Cloud-OpsBench (JRA 752/754).
A keyboard-driven Kubernetes terminal UI, built with Python and Textual. Inspired by K9s.
DevSecOps reference pipeline: a hardened incident API shipped through SAST, SCA, secrets, IaC policy, image scanning, SBOM, authenticated DAST, Kubernetes + Cilium runtime tests, and keyless signing with SLSA provenance.
Internal Developer Platform on Backstage + Azure: one form creates a repo, Terraform infra (approved in Backstage), CI/CD and a running app on AKS, with live health in the portal. OIDC, Workload Identity, policy gates. Runs on an Azure Free Trial for ~$0.18/h.
Free, hands-on DevOps and SRE roadmap: Linux to Kubernetes, GitOps, observability, platform engineering and AI for operations. 7 phases, 34 modules, labs you can run on one Linux machine, and 3 capstone projects.