Real-world applications
Three concepts for repeatable environments without confusing runtime and persistent data.
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.
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.
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.
We containerize web apps and APIs, configure Docker deployments and prepare health checks and backups.
Key takeaway : Build images, run containers and manage persistent data separately.
Tuplify Studio turns these concepts into working software.
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