Docker quietly became one of the most important pieces of software infrastructure in the world — but most people who've heard the name couldn't explain what it actually does or why it matters. This episode covers how containers work, the wild story of Docker the company nearly collapsing while Docker the technology won everywhere, and why it's now the reason self-hosting an AI stack takes minutes instead of days.

AI-generated (NotebookLM) audio overview. Source: HexLocal in-house research — Research - Docker (Podcast) - 2026-06-17 (Dr. Priya Nair). Primary sources include InfoWorld's "How Docker broke in half," Contrary Research, and live data retrieval via Vane.

- Containers vs. VMs: why sharing the host kernel instead of booting a full OS is the architectural choice that changed everything

- The "works on my machine" problem — what it was, why it was maddening, and how Docker killed it

- Origin story: how a failing PaaS called dotCloud became Docker after a five-minute PyCon demo in 2013

- The company paradox: Docker the technology reached 92% adoption while Docker the company sold off its enterprise business and sparked a licensing backlash

- The current landscape: how containerd, Podman, and Kubernetes relate to Docker — and where Docker lost the name but won the ideas

- The AI self-hosting angle: why tools like Ollama and Open WebUI ship as Docker images, and what that means for running your own AI stack