---
title: "Discussion on \"How I Reduced a Next.js Docker Image from 3.39 GB to 619 MB (82% Reduction)\" | Hashnode"
description: "Discussion on \"How I Reduced a Next.js Docker Image from 3.39 GB to 619 MB (82% Reduction)\". Learn how I reduced a Next.js Docker image from 3.39 GB to 619 MB by enabling Standalone Mode, removing unnecessary dependencies."
url: "https://hashnode.com/posts/nextjs-docker-image-optimization-82-percent-size-reduction/6a2a901afb373d916b1b96fc"
---

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# [How I Reduced a Next.js Docker Image from 3.39 GB to 619 MB (82% Reduction)](https://prajwal-blog.hashnode.dev/nextjs-docker-image-optimization-82-percent-size-reduction?utm_source=hashnode&utm_medium=feed)

Learn how I reduced a Next.js Docker image from 3.39 GB to 619 MB by enabling Standalone Mode, removing unnecessary dependencies.

Jun 11 · 9 min read · prajwal-blog.hashnode.dev  
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-   [#docker](https://hashnode.com/tag/docker)
-   [#nextjs](https://hashnode.com/tag/nextjs)
-   [#devops](https://hashnode.com/tag/devops)
-   [#cloud](https://hashnode.com/tag/cloud)
-   [#javascript](https://hashnode.com/tag/javascript)

## Written by

[Prajwa P](https://hashnode.com/@Prajwal8651)

@Prajwal8651 · Mysuru, Karnataka, India

  
[View profile](https://hashnode.com/@Prajwal8651)

DevOps & Cloud Engineer

Welcome! I’m Prajwal P. I stand at the intersection of technology and efficiency, exploring the dynamic world of DevOps ⚙️. From mastering Cloud infrastructure to orchestrating containers, I am passionate about automating the complex to create the simple. Join me as I document my learning curve, share technical insights, and navigate the ever-evolving landscape of software deployment.

## Responses 1

Markdown supported · ⌘↵ to post

[Atul Vishwakarma](https://hashnode.com/@vatul16)

[Jun 11](https://hashnode.com/posts/nextjs-docker-image-optimization-82-percent-size-reduction/6a2a901afb373d916b1b96fc/comment/6a2ac5e730535a69e0d9a7b0)

Really enjoyed this one. Docker image optimization is one of those topics that most people ignore until build times and image size start hurting real deployments, so it was great to see a practical breakdown instead of just generic advice.

Cutting the image size by that much is impressive, but what I like even more is the mindset behind it — thinking about production efficiency, not just making the app run locally. That’s exactly the kind of detail that makes a big difference when you’re working with CI/CD pipelines and cloud deployments.

I’m also spending more time on DevOps and cloud-related content these days, so posts like this are especially useful because they connect optimization with real-world impact. Solid write-up overall.