DevOps Engineer

Viktor Farcic Portfolio

His GitHub shows the DevOps Toolkit book/course series alongside real repos — docker-flow-proxy (596 stars), k8s-specs (164 stars), and dot-ai, a newer TypeScript-based Kubernetes agent for plain-English cluster deployment.

KubernetesDevOps ToolkitPlatform EngineeringCI/CD

What makes it work

A breakdown of the choices that make this portfolio stand out.

1

A GitHub history spanning old Docker-era tools to a current AI-agent project

docker-flow-proxy dates from the early Docker Swarm era; dot-ai is a 2025-era LLM-driven Kubernetes deployment agent. Having both visible shows continuous adaptation across roughly a decade of infrastructure-tooling shifts.

2

Star counts that reflect real, sustained adoption

Hundreds of stars accumulated over years on infrastructure-automation repos is a signal other engineers actually pulled the code into their own pipelines.

3

A book/course series used as the connective narrative

The DevOps Toolkit series ties individual repos into a coherent teaching arc, turning a scattered set of side projects into a legible body of work.

What DevOps Engineers can take from this

Specific, actionable tips to apply to your own portfolio — no generic advice.

  • Keep old, once-popular repos visible even after you've moved on technically — the range shows adaptability.

  • Let star/fork counts on real infrastructure tools carry the credibility instead of describing yourself as an "expert."

  • If you have several related repos, tie them together with a book, course, or blog series that explains how they connect.

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