Docker for Cloud Engineers
Build reproducible images, run isolated application processes, and operate them safely.
Docker packages an application and its runtime filesystem into an image. A container is a running process created from that image. Containers share the host kernel; they are not small virtual machines.
The parts you operate
| Object | Purpose | Expected lifetime |
|---|---|---|
| Image | Read-only application template | Versioned and published |
| Container | Running process created from an image | Replaceable |
| Registry | Stores and distributes images | Long-lived service |
| Volume | Stores data outside a container layer | Survives replacement |
| Network | Connects containers and controls exposure | Project or platform scope |
Application code belongs in the image. Runtime state belongs in a managed database, object store, or volume with a tested backup process.
Learning path
Verify the engine
Install Docker Engine and the Compose plugin from Docker’s current instructions for your operating system. Then inspect the client and server separately:
docker version confirms that the client can reach an engine. docker context show matters when a workstation can control more than one local or remote daemon.
Run one disposable container
Binding to 127.0.0.1 keeps the published port local to the host. The image tag is convenient for this disposable exercise; production releases should use an approved version and record the resolved image digest.
Docker access is privileged
On a conventional rootful engine, users who can control the Docker daemon can normally obtain host-level access. Grant daemon access only to trusted operators. Do not mount the Docker socket into application containers.