Episode
Course 31 - Dive Into Docker | Episode 7: Building, Running, and Syncing Flask Applications
- Podcast
- CyberCode Academy
- Published
- Apr 26, 2026
- Duration seconds
- 1369
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Summary
In this lesson, you’ll learn about: Docker CLI workflows, container management, live development, and debugging techniques1. Image Management & Docker CLI WorkflowYou start by working with Docker image lifecycle operations:🔹 Build Imagesdocker build -t myapp:1.0 . Uses Dockerfile instructions Leverages layer caching → faster rebuilds 🔹 Tagging Imagesdocker tag myapp:1.0 username/myapp:1.0 Used for version control Prepares image for sharing 🔹 DockerHub Workflow Login → docker login Push → docker push Pull → docker pull 👉 Enables sharing across machines and teams2. Running & Managing Containers🔹 Core Run Flagsdocker run -it -p 5000:5000 -e FLASK_APP=app.py myapp FlagPurpose-itInteractive terminal-pPort mapping-eEnvironment variables🔹 Detached Modedocker run -d myapp Runs container in background Frees terminal 🔹 Monitoring Containers docker logs → view logs docker stats → live performance metrics 🔹 Restart Policiesdocker run --restart on-failure myapp Automatically restarts crashed containers Improves reliability in production 3. Live Development with Volumes🔹 Volume Mountingdocker run -v $(pwd):/app myapp Syncs local code into container Enables real-time updates 🔹 Flask Live ReloadSet:FLASK_DEBUG=1 Automatically reloads server on file changes 4. Debugging & Container Access🔹 Enter Running Containerdocker exec -it container_id bash Inspect filesystem Run debugging commands 🔹 Run One-Off Commands Run tests Check logs Inspect environment 5. Platform Compatibility Issues⚠️ File Watch Issues (Windows/Mac) Inotify may not work properly in some environments ✅ Solution: Use slim Python images instead of Alpine 👉 Improves: File syncing Stability of live reload 6. File Permissions Handling Files created inside containers may become root-owned Fix by aligning: container…