Episode
Course 31 - Dive Into Docker | Episode 6: A Hands-On Guide to Dockerizing Web Applications
- Podcast
- CyberCode Academy
- Published
- Apr 25, 2026
- Duration seconds
- 882
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Summary
In this lesson, you’ll learn about: dockerizing a web app, writing Dockerfiles, and optimizing builds1. The Application Architecture (Real-World Example) This lab uses a simple microservices setup: Flask web application (frontend/API) Redis (backend datastore) Key idea: Each service runs in its own container They communicate over a Docker network 👉 This mirrors real production systems (microservices architecture)2. Writing a Dockerfile from ScratchA Dockerfile is the blueprint for building an image in Docker.🧱 FROM — Base ImageFROM python:2.7-alpine Uses an official image Alpine = very small size → faster builds & less storage ⚙️ RUN — Execute CommandsRUN mkdir /app Runs shell commands inside the image Typically used for: Installing dependencies Preparing the environment 📁 WORKDIR — Set Working DirectoryWORKDIR /app Defines where commands will run Avoids hardcoding full paths everywhere 📦 COPY — Add Files to ImageCOPY . . Copies your application code into the container Includes: Source code Requirements file 3. Build Optimization (Layer Caching) Docker builds images in layers Order of instructions matters a lot ✅ Optimized Approach:COPY requirements.txt . RUN pip install -r requirements.txt COPY . . Why? Dependencies don’t change often Docker caches this layer Rebuilds become much faster 4. Metadata with LABELLABEL maintainer="[email protected]" Adds useful metadata: Author Version Description 👉 Helpful for team environments and production tracking5. Running the Application with CMDCMD ["python", "app.py"] Defines the default command when the container starts In this case: Launches the Flask app on port 5000 6. How Everything Works Together Build the image:docker build -t myapp . Run the container:docker run -p 5000:5000 myapp Access app: Open browser → localhost:500…