---
title: "Discussion on \"(Day 29-37) Docker Fundamentals to Advanced Concepts – Complete Practical Guide\" | Hashnode"
description: "Discussion on \"(Day 29-37) Docker Fundamentals to Advanced Concepts – Complete Practical Guide\". Intially when developers build applications on their local systems, everything works perfectly because:\n\nThey use their own OS (Windows/Linux/Mac)\n\nThey have specific versions of software and librarie"
url: "https://hashnode.com/posts/day-29-37-docker-fundamentals-to-advanced-concepts-complete-practical-guide/69a46a85a7428b958dd57938"
---

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# [(Day 29-37) Docker Fundamentals to Advanced Concepts – Complete Practical Guide](https://devopswithrahulsharma.hashnode.dev/day-29-37-docker-fundamentals-to-advanced-concepts-complete-practical-guide?utm_source=hashnode&utm_medium=feed)

Intially when developers build applications on their local systems, everything works perfectly because: They use their own OS (Windows/Linux/Mac) They have specific versions of software and librarie

Mar 1 · 9 min read · devopswithrahulsharma.hashnode.dev  
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-   [#docker](https://hashnode.com/tag/docker)
-   [#containerization](https://hashnode.com/tag/containerization)
-   [#devops](https://hashnode.com/tag/devops)
-   [#devops-journey](https://hashnode.com/tag/devops-journey)
-   [#90daysofdevops](https://hashnode.com/tag/90daysofdevops)
-   [#docker-multistage-build](https://hashnode.com/tag/docker-multistage-build)
-   [#python](https://hashnode.com/tag/python)
-   [#cloud-computing](https://hashnode.com/tag/cloud-computing)

## Written by

[Rahul](https://hashnode.com/@sharmarahul8222)

@sharmarahul8222

  
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## Responses 1

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[klement Gunndu](https://hashnode.com/@klementgunnduai)

[Mar 2](https://hashnode.com/posts/day-29-37-docker-fundamentals-to-advanced-concepts-complete-practical-guide/69a46a85a7428b958dd57938/comment/69a5eda97002a4807b823749)

Solid progression from virtualization to containerization. One extension worth exploring: Docker multi-stage builds with distroless base images can cut your final image size by 80%+ compared to standard python:3.x bases, which matters a lot when you hit ECS or K8s at scale.