Project examples
Technical insight from platforms, DevOps, and implementation.
Three real excerpts from my work: Kubernetes platforms, SaaS product development, and on-prem AI infrastructure with operations, observability, and handover.
Projects
Three real-world projects.
Three different starting points, with the same focus: clarify the architecture, structure the implementation, and plan for operations.
01 Kubernetes platform for production operations A cloud Kubernetes platform was built as an automated, highly available foundation for custom software. Open details
- Starting point
- Custom applications needed a reliable Kubernetes foundation in the cloud, including infrastructure, deployment foundations, supporting services, and clear operating processes.
- My contribution
- Built the Kubernetes platform with Terraform, established Argo CD as the GitOps foundation, and integrated core platform services such as deployments, secrets, CI/CD connectivity, and the Grafana stack into operations.
- Outcome
- Highly available platform with backup processes, CI/CD automation, Grafana/Loki/Prometheus observability, documentation, clear workflows, and knowledge transfer.
Technologies and topics
-
Kubernetes -
Docker -
Terraform -
Argo CD -
Helm - CI/CD
-
Postgres -
GitHub -
Grafana -
Loki -
Prometheus
02 Technical support for a new venture A SaaS app for Android and iOS was built from product planning through cloud operations. Open details
- Starting point
- A new SaaS app needed Android and iOS clients, a backend, an admin interface, and cloud operations from product idea through technical implementation.
- My contribution
- Implemented the Flutter app, built the backend with Python and FastAPI, added the React admin app, and integrated observability with Grafana, Loki, and Prometheus.
- Outcome
- Cloud deployment with Terraform and GitHub CI/CD, creating a clear technical foundation for product development, operations, and future SaaS growth.
Technologies and topics
-
Flutter - Docker
-
FastAPI -
Python -
React - Postgres
- Grafana
- Loki
- Prometheus
-
AWS - Terraform
- GitHub
03 AI team platform for technical workflows An on-prem AI platform was built on a k3s cluster for internal technical workflows. Open details
- Starting point
- AI services needed to run on-prem on a Proxmox cluster - highly available, secured, and fully manageable by the team.
- My contribution
- Built the k3s cluster with Terraform and Ansible, set up Bitbucket CI/CD and Argo CD GitOps, integrated Keycloak/OIDC, and deployed Open WebUI, LiteLLM, Langfuse, MLflow, MCP servers, and AI agent services.
- Outcome
- Fully documented platform with secret management, authentication, backup/restore, plus Grafana stack, alerting, on-call integration, and Grafana MCP for incident response.
Technologies and topics
-
k3s - Docker
-
Proxmox - Terraform
-
Ansible - Argo CD
-
Bitbucket -
Keycloak -
Open WebUI - LiteLLM
- Langfuse
-
MLflow -
MCP - Longhorn
- PostgreSQL
- Grafana
- Loki
- Prometheus
-
Tempo - Grafana MCP
Common patterns
What these projects have in common.
Different products, similar technical requirements: infrastructure as code, automated deployments, observable operations, and clean team handover.
- Infrastructure as code instead of manual setup
- CI/CD and GitOps as the operating foundation
- Observability, alerting, and backups from the start
- Documentation and knowledge transfer for self-managed operations
Contact
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