Skill

Docker

Containers for packaging and deploying services — used for my real-time data system deployments.

  • #devops

Docker packages an application and its dependencies into a container image that runs the same way locally, in CI and in production.

How I use it

The Real-time Data Systems from my Independent AI & Full-Stack Engineer (Freelance) work — Python services with asyncio, FastAPI and WebSockets plus a Rust low-latency component — ship as containerized deployments, alongside long-running daemons supervised by Linux & systemd on a Linux VPS.

Why it matters

Containerized services are also straightforward to run on any cloud, whether AWS, GCP or a single virtual machine. Containers make multi-language systems — Python services next to a Rust component — reproducible across development and production, and decouple deployment from any one host or cloud.

They also let each component be scaled, restarted or replaced independently.

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