Designing reliable platforms, automating operations, and building cloud-native systems from the infrastructure layer up.
I'm an infrastructure and platform engineer focused on Kubernetes, cloud platforms, distributed systems, automation, and developer infrastructure.
My work sits at the intersection of software engineering and operations: building platforms that are secure, observable, scalable, reproducible, and safe to operate.
I especially enjoy working on:
- ☸️ Kubernetes platforms, service networking, gateways, and multi-cluster operations
- ☁️ Azure / AWS cloud infrastructure and production platform architecture
- 🔧 Go-based infrastructure tooling and automation
- 🚀 CI/CD, GitOps, Argo CD, GitLab CI, and GitHub Actions
- 🧱 Infrastructure as Code with Terraform and Ansible
- 📊 Observability with Prometheus, Grafana, Elasticsearch, Logstash, and Zabbix
- 🗄️ PostgreSQL, Redis, Kafka, ClickHouse, and event-driven systems
- 🤖 AI infrastructure, MCP servers, self-hosted LLMs, and AI-assisted operations
- 🔐 Security, least privilege, safe automation, and production hardening
A Go-based Kubernetes Model Context Protocol server for AI-assisted cluster operations.
- Kubernetes resource discovery, inspection, logs, events, and metrics
- Kubernetes + Helm tooling through MCP
stdio, SSE, and Streamable HTTP transports- read-only mode for safer operations
- multi-context Kubernetes support
- bearer authentication and explicit browser-origin controls for HTTP transports
- secure-by-default container execution
Architecting a production-oriented control plane around Go, PostgreSQL, Incus, Cloudflare Tunnel, Kubernetes, observability, and durable asynchronous workflows.
Recent engineering work includes:
- multi-worker coordination and PostgreSQL-backed leadership
- stale-worker fencing and crash-safe operations
- durable transactional outbox and at-least-once event delivery
- generation-safe instance rebuild / resize workflows
- reconciliation and runtime convergence
- ownership-safe Cloudflare exposure management
- rate limiting, mutation gates, health/readiness, backups, and production runbooks
A curated MCP server collection built around the growing ecosystem of AI agents + infrastructure tooling.
| Project | What it shows |
|---|---|
| k8s-mcp-server | Go + Kubernetes + MCP + secure infrastructure automation |
| awesome-mcp-servers | AI tooling / MCP ecosystem |
| hcloud-tg | Hetzner Cloud automation with Go |
| gitlab-search | Internal developer tooling |
| logstash-to-clickhouse | Logging / data pipeline engineering |
| nfs-subdir-external-provisioner | Kubernetes storage infrastructure |
Cloud & Platform Engineering
│
├── Kubernetes / AKS / Helm / Istio
├── GitOps / Argo CD / CI/CD
├── Terraform / Ansible
│
├── Go / Python / Automation
├── PostgreSQL / Redis / Kafka / ClickHouse
├── Prometheus / Grafana / ELK / Zabbix
│
└── AI Infrastructure / MCP / LLM Ops
Build platforms that make the hard things boring.