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---
title: System Design Crash Course: Scaling 100 to 100M Users
description: A comprehensive walkthrough of scaling a web application from 100 to 100 million users, structured around four core bottleneck types: compute, reads, writes,...
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og:description: A comprehensive walkthrough of scaling a web application from 100 to 100 million users, structured around four core bottleneck types: compute, reads, writes,...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# System Design Crash Course: Scaling 100 to 100M Users

**[Joud Awad](https://daily.dev/sources/iac4jsbu0lv8wbsc85fsh)** · [@joudawad](https://daily.dev/joudawad) · 297 upvotes · 32 comments

## Summary

A comprehensive walkthrough of scaling a web application from 100 to 100 million users, structured around four core bottleneck types: compute, reads, writes, and async work. Covers vertical vs. horizontal scaling trade-offs, the Universal Scalability Law, stateless app servers, load balancer layers, caching strategies (cache-aside, materialized views, fan-out on write vs. read), database connection pooling, sharding with consistent hashing, async queues and idempotency, circuit breakers, bulkheads, retry budgets with jitter, rate limiting (token bucket vs. sliding window), multi-region active-active trade-offs, CAP theorem, cell-based architecture for blast radius containment, and cloud cost optimization including reserved instances, storage tiering, and egress pricing.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=fwVGulYwlak>

## Community discussion

Top comments from developers on daily.dev.

**@malibuconpiña** · 2 upvotes

> wow, pretty interesting. i just had to take some notes about what i need to learn to understand better how to make systems grow consistently

**@epicuser** · 2 upvotes

> Thank you so much, these crash courses are a gems and i am super happy you are doing them for free and put all this effort in them 🙏
>
> Good luck man!

**@jad85** · 2 upvotes

> Awesome Awesome Awesome!! Thank you so much man these deep dives are amazing!
>
> Looking for many more coming!

**@aurimarlopes** · 2 upvotes

> how to scale 0 to 1 active users ?

**@agustinbarrientos** · 2 upvotes

> Cell-based isolation would be my first move before active-active multi-region. Smaller failure domains are much easier to debug at 3 a.m.

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---

Tags: [#career](https://daily.dev/tags/career), [#backend](https://daily.dev/tags/backend), [#distributed-systems](https://daily.dev/tags/distributed-systems)

[View this post on daily.dev](https://daily.dev/posts/3ngiuticq)

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