Docker is a platform for developing, shipping, and running applications in containers. Containers package an application with all its dependencies, ensuring it runs consistently across different environments.
Key Concepts
- Images — Read-only templates used to create containers
- Containers — Running instances of images
- Dockerfile — Script that defines how to build an image
- Docker Compose — Tool for defining multi-container applications
Why Docker?
- Consistency — “Works on my machine” becomes “works everywhere”
- Isolation — Applications run in isolated environments
- Portability — Move containers between development, staging, and production
- Efficiency — Containers share the host OS kernel, using fewer resources than VMs
Related
- docker-resources — Learning resources
- docker-to-cloud-run — Hands-on deployment lab
- devops-overview — DevOps fundamentals
- devops-resources — DevOps learning resources
- Python for DevOps — Automation scripting
- gcp-overview — Why choose GCP