Packages an app and its dependencies into a portable container that runs the same everywhere.
Official siteDocker is the standard tool for containerization — bundling an application together with its runtime, libraries and configuration into a single image that runs identically on a laptop, a CI runner or a production server. It solves the classic "works on my machine" problem by making the environment part of the artifact.
Containers are lighter than virtual machines because they share the host OS kernel, so they start fast and pack densely. Docker images and the Dockerfile format have become the common currency of modern deployment, feeding orchestrators like Kubernetes.
Docker builds images from a declarative Dockerfile and runs them as isolated containers. Each container carries everything the app needs, so the same image moves from dev to production unchanged. Compose stitches multiple containers (app, database, cache) into one local stack.
We containerize services that need a controlled, reproducible runtime and clean local-to-production parity — our Rust crawler, for instance, runs in Docker. It also makes CI pipelines predictable and onboarding a new developer a one-command affair.
Docker adds a build-and-registry step and a layer of operational knowledge. Not everything needs it — some of our services run directly on the host under a process manager rather than in containers. Containers also do not fix a bad architecture; they just package whatever you give them.
Our distributed crawler is Docker-driven, which keeps its Rust workers, MongoDB and Redis dependencies reproducible across environments. Other backend services deliberately run on the host via a process manager where containerization would add cost without benefit.
A systems language that delivers C-level performance with memory safety guaranteed at compile time.
A server-side JavaScript runtime built on V8 that lets one language run your whole stack.
A blazing-fast in-memory store used for caching, queues, rate limiting and real-time streams.
Common questions
Straight answers on how this fits your marketing and build.
A VM runs a full guest operating system on virtualized hardware; a container shares the host OS kernel and isolates only the application. Containers are therefore much lighter and faster to start, though slightly less isolated than VMs.
Still have questions? Talk to a specialist
Get a free audit and a 6-month roadmap showing exactly where you stand vs your top 3 competitors — no fluff, no upsell.
Trusted by 500+ brands · 4.9/5 client rating