Docker explained: images, containers and volumes — for businesses
Built for businesses of all sizes
We containerize web apps and APIs, configure Docker deployments and prepare health checks and backups.
Key benefits : Build images, run containers and manage persistent data separately.
Image: the packaged application
An image packages application files and runtime dependencies. A Dockerfile describes its build. Pin important versions and keep it small. Test this repeatable artifact and deploy it rather than manually recreating each server environment.
Container: a running instance
A container runs an image with its own processes and configuration. Several containers can share one image. They share the host kernel, unlike full virtual machines. Supply configuration at runtime and never bake secrets into image layers.
Volume: data that must survive
Deleting a container removes its writable layer. Store database files and uploads in a suitable volume or external service. Persistence is not backup: schedule backups and test restoration. Replace the app container to verify data survives.
Who is this for?
Three concepts for repeatable environments without confusing runtime and persistent data.
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Tuplify Studio turns these concepts into working software.
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