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TOPIC OVERVIEW

Docker/Images

Layered, read-only filesystems that get stacked to build the environment a container runs in.

10 QuestionsIntermediateHigh Priority ~11 min read

Each instruction in a Dockerfile typically produces its own layer, and layers are cached and reused across builds and even across different images that share a common ancestry — which is exactly why instruction order in a Dockerfile matters for cache efficiency, and why two images sharing a base layer don't duplicate that layer's storage on disk.

A tag (like myapp:1.2) is a mutable pointer that can be reassigned to point at a different image later, while a digest is an immutable content hash that always refers to the exact same bytes — a real distinction when reproducibility matters. Multi-stage builds let a Dockerfile use one stage to compile or build an app (with all its build tools) and a separate, minimal final stage that only copies over the compiled output, which is what keeps a production image from shipping an entire build toolchain it no longer needs.

What you'll walk away knowing

Why each Dockerfile instruction typically creates a new, cached, reusable layer
The difference between an image tag (mutable) and a digest (immutable content hash)
What multi-stage builds solve, and why they reduce final image size
The tradeoffs between common base images (alpine, slim, full) beyond just size
1What is a dangling image?Intermediate2What is the base image in Docker?Beginner3What is the difference between an image and a container?Beginner4What is a Docker image?Beginner5How do you build a Docker image?Intermediate
All Topics
1
Basics
Engine
Using Docker
2
Images
Hub
Dockerfile
3
Container
Volumes and Storage
Compose
4
CI-CD
Security
Performance
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