SRE / DevRel // homelab-powered
Reliable, observable platforms. Built for real-world operations.
I help teams design and run automation-first infrastructure using open-source and cloud-native patterns.
Yes, systems can be stable and still have personality.
Runbook first, drama later.
- IaC-first execution
- Observability by design
- Secure defaults
- Pragmatic reliability
Quick Signals
- No trackers
- IaC-first by default
- Observability from day one
- Human-friendly ops
Impact / Value
What you get:
- Reproducible environments with an IaC-first approach
- Pragmatic reliability improvements that reduce operational risk
- Clear visibility across metrics, logs, and alerts
- Secure-by-default access patterns
Competencies
Infrastructure & Platforms
- Linux operations and automation
- Virtualization and container platforms
- Kubernetes lifecycle, ingress, and workload operations
- GitOps and infrastructure-as-code workflows
Networking & Access
- VLAN-oriented segmentation patterns
- Reverse proxy and identity-aware access design
- Load balancing concepts
- BGP-oriented routing approaches
Observability & Security
- Monitoring and alerting practices
- Log pipelines and diagnostics
- Defensive tooling and security-minded operations
Proof & Signals
Credibility without personal data:
- Production-like homelab operated as a testbed for HA thinking, observability, and automation.
- IaC-first workflows designed for repeatability and quick recovery.
- Preference for mature OSS components with clear maintenance paths.
- If the dashboard is green, that is where the fun questions start :-)
Selected Work
Homelab Infrastructure Lab
A multi-service lab used to validate end-to-end architecture decisions.
- Cluster operations, storage, routing, and automation tested under realistic constraints
- Operational patterns refined in the lab before broader rollout
Automation & AI Workflows
API-driven integrations and event-based automations to reduce repetitive work.
- AI-assisted flows that improve throughput and consistency
- Less copy/paste, more repeatable delivery
Creative AI Experiments
Generative projects as a sandbox for tooling, pipelines, and orchestration.
- Rapid experiments with prompts, models, and automation logic
- Practical lessons transferred into day-to-day operations
Operating Principles
- Open-source first, when it is the right tool
- Automate what repeats
- Observability is a feature, not an add-on
- Prefer boring, proven building blocks
- Treat documentation as an operational artifact
- Iterate in small, reversible steps
Tech Stack
Grouped by delivery area:
Platforms
- Linux
- Proxmox
- Docker
- Kubernetes
- Talos
Networking & Access
- Reverse Proxies
- Identity/SSO Patterns
- VLAN Segmentation
- BGP Concepts
Observability & Security
- Wazuh
- CheckMK
- Logging Pipelines
Collaboration & Automation
- Nextcloud
- n8n
- Authelia
- API Integrations