Docker — The Complete Guide

containers, docker-compose, and the architecture that lets an entire agent network live on a single VPS

Docker is one of the most important technologies to emerge from the software world in the last decade, and it is what allows most of today's cloud services and AI agents to run the way they do. At its core, Docker solves a simple but painful problem: every software service needs a specific environment to run (a particular language version, specific libraries, network settings), and when you try to install several services on the same machine they collide — and what worked yesterday stops working tomorrow. Docker solves this by packaging each service into its own isolated 'box' (a container), which holds everything the service needs — so it runs exactly the same on every machine, in every environment. Docker's extension called docker-compose lets you define many boxes together in a single file, spin them all up with one command, and manage the network between them — much like a conductor with an orchestra. For me (Elad), the entire agent network featured on this site (ten different services such as Kami, Kaylee, Qdrant, and Delegator) runs on a single docker-compose deployment on a Hetzner CPX11 (~€4.75/month, 2 vCPU · 2GB RAM). For you, Docker can be the foundation of any project: from a local dev environment, through a CI/CD pipeline, all the way to a full production service in the cloud. Once you understand docker-compose, most of what the other guides show becomes something you can build yourself.