CONTAINERS TO CLOUD
Cloud & DevOps
A practical five-part Docker guide covering containers, Python application packaging, ports, volumes, environment variables, Compose and Generative AI deployment.
HANDBOOK OVERVIEW
See the whole system.
Then master each decision.
This is a connected learning path—not a collection of isolated tips. Every Byte builds the mental model, makes the workflow visible and applies it to a situation you could meet in a real project.
Move from first understanding to confident explanation.
CONNECTED LEARNING PATH
Learn in the order the work happens.
Complete one focused concept at a time. Every chapter includes practical guidance you can use immediately.
What Is Docker? Images and Containers Explained
Understand Docker images, containers, Dockerfiles and registries through a practical, beginner-friendly application workflow.
Dockerize Your First Python Application
Create a production-minded Dockerfile, build an image and run a small Python web application inside a repeatable container environment.
Docker Essentials: Ports, Volumes and Environment Variables
Learn how Docker containers receive traffic, preserve important data and accept environment-specific configuration without rebuilding the image.
Run Multi-Container Applications with Docker Compose
Define and run a frontend, backend, database and AI service as one connected application using a readable Docker Compose configuration.
Dockerize and Deploy a Generative AI Application
Containerize a practical LLM service, keep API keys outside the image, add production checks and prepare the same artifact for cloud deployment.