---
title: "Discussion on \"How GitHub rebuilt Git storage for 5,000 agents on one repo\" | Hashnode"
description: "Discussion on \"How GitHub rebuilt Git storage for 5,000 agents on one repo\". GitHub split Git into immutable packs in Azure Blob Storage and a tiny compare-and-swap log for refs. In testing it took 7,200 pushes a second on one repository. Here is how, in plain words."
url: "https://hashnode.com/posts/how-github-rebuilt-git-storage-for-5-000-agents-on-one-repo/6aef750f8c6f0da3e2501ab8"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [How GitHub rebuilt Git storage for 5,000 agents on one repo](https://systemdesignacademy.hashnode.dev/how-github-rebuilt-git-storage-for-5-000-agents-on-one-repo?utm_source=hashnode&utm_medium=feed)

GitHub split Git into immutable packs in Azure Blob Storage and a tiny compare-and-swap log for refs. In testing it took 7,200 pushes a second on one repository. Here is how, in plain words.

4d ago · 8 min read · systemdesignacademy.hashnode.dev  
Read the article

-   [#git](https://hashnode.com/tag/git)
-   [#github](https://hashnode.com/tag/github)
-   [#system-design](https://hashnode.com/tag/system-design)
-   [#distributed-systems](https://hashnode.com/tag/distributed-systems)
-   [#azure](https://hashnode.com/tag/azure)

## Written by

[RONI DAS](https://hashnode.com/@ronidas)

@ronidas · India

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

AI engineering, agentic memory, machine learning, and system design at scale.

I work on AI systems and the infrastructure they actually run on: agentic architectures, memory for agents, retrieval, and the graph and data layers that keep model output grounded in something real. Formerly at Neo4j. I also write and teach the systems side that most AI content skips, from distributed systems and databases to the design decisions that decide whether a model ever reaches production. I run Total Technology Zonne on YouTube and I am building systemdesign.academy, an interactive course on system design, machine learning, and AI engineering, covering the parts most tutorials leave as an exercise for the reader. Mock interviews and prep packs: topmate.io/roni

## Responses

Markdown supported · ⌘↵ to post

No responses yet.