Cubis Engineers

Docker for Cloud Engineers

Build reproducible images, run isolated application processes, and operate them safely.

Application deliveryFoundationUpdated Aug 13, 2026dockercontainersimagesclouddeployment

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

ObjectPurposeExpected lifetime
ImageRead-only application templateVersioned and published
ContainerRunning process created from an imageReplaceable
RegistryStores and distributes imagesLong-lived service
VolumeStores data outside a container layerSurvives replacement
NetworkConnects containers and controls exposureProject 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:

Terminal
docker version
docker info
docker compose version
docker context show

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

Terminal
docker run --name web-demo --rm -d \
  -p 127.0.0.1:8080:80 \
  nginx:alpine

curl -I http://127.0.0.1:8080
docker logs web-demo
docker stop web-demo

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.

References

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