Fritz Anuth
Platform & DevOps Engineer
I build and maintain the platforms that let engineering teams ship faster — from bare-metal to production, from CI to observability.
Projects
Homelab Gigawave
3-node bare-metal Kubernetes HA cluster
A highly available and power-efficient Kubernetes cluster on three bare-metal nodes, running around 20 self-hosted services including this portfolio and a Forgejo instance. My production-grade playground for tools i deploy on production clusters.
Kubernetes
Talos
Flux
Garage
Grafana
Cilium
Envoy Gateway
Traffic Management & Waiting-Room Service
SP Consult AG
Custom reverse-proxy layer for retail traffic spikes
Designed and built a reverse-proxy to protect endpoints during sudden demand spikes. The service acts as a configurable admission layer: it queues excess requests and admits them at a controlled rate, presenting a waiting-room experience to end users rather than returning errors or degrading the backend. Where the shop previously collapsed under high-volume sales, it now holds steady through 100k+ concurrent fans competing for event tickets.
.NET
Kubernetes
ArgoCD
Redis
Grafana
Experience
SP Consult AG, Duisburg
Present2022
Software & DevOps Engineer
3y10m- Designed and built the Kubernetes infrastructure (Tanzu → RKE2/Rancher) from the ground up across two data-centre migrations, progressively decomposing a legacy VB.NET monolith into independently deployable services — one of two DevOps engineers on a four-person developer team.
- Run four clusters — production, staging, dev, and ops. Production alone spans 14 worker and 3 control-plane nodes, hosting 25 tenant namespaces (2–10 services each) plus roughly 10 shared services.
- Automated deployments end-to-end with Azure DevOps, ArgoCD, and Renovate.
- Implemented full-stack observability: metrics, logs, and traces via Grafana, OpenTelemetry, Thanos, and OpenSearch — including alert handling and incident response.
- Designed and built a traffic-management service with waiting-room functionality to protect retail endpoints during sudden traffic spikes — a custom reverse-proxy layer that queues and admits requests at configurable rates, keeping backend services stable through spikes of 100k+ concurrent users.
- Built a pipeline that reads changes from the database transaction log and emits them as Kafka events — consumed by multiple services including .NET reporting and a kitchen operator display that surfaces and manages new orders in real time.
Kubernetes
ArgoCD
.NET
Java
Kafka
Azure DevOps
OpenTelemetry
Helm
MSSQL
vSphere
C.Ed. Schulte GmbH Zylinderschlossfabrik, Velbert
20222019
Software Developer
7m- Integrated an e-commerce web shop into the company's new ERP system (AP+).
Apprentice Software Developer
2y6m- Dual-education apprenticeship (IHK) with cross-departmental rotations through software, operations, logistics, and sales.
- Built Industrie 4.0 applications — IVR/Hotline (REST), PickByLight (WinForms + REST), AppLauncher (WPF), and licence management (Blazor + REST).
- Set up CI/CD pipelines using Continua CI and FinalBuilder.
.NET
Python
PostgreSQL
vSphere
Skills
My platform experience is built on production on-premises Kubernetes. Extending it to the major clouds — AWS, Azure, and GCP — is the deliberate next step I'm taking, and a key reason I'm looking for a new role.
Languages
.NET
Java
Python
TypeScript
Bash
Orchestration & GitOps
Kubernetes
Helm
Flux
ArgoCD
Rancher
Aspire
Observability
Prometheus
Grafana
Thanos
OpenTelemetry
OpenSearch
Secrets & Identity
OpenBao
External Secrets Operator
cert-manager
Keycloak
Storage & Data
Garage
CloudNativePG
Redis
Kafka (Strimzi)
MSSQL
CI / CD
Woodpecker CI
Azure DevOps
Renovate
Networking
Cilium
Envoy Gateway
ingress-nginx
Platform & OS
Talos
RKE2
Linux
Docker
Hypervisors
Proxmox
vSphere
Source Control
Git
SVN
Working with AI
AI is part of my toolkit — the same way linters, formatters, and good documentation always were. I mostly use Claude Code, always sandboxed and without exposing secrets: GitOps work on my Gigawave homelab, scripting and .NET, and at work for frontend, planning, and coding. Carefully scoping the context is what separates noise from useful output.
Contact
Open to full-time Platform & DevOps Engineering roles. Contact via email:
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