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[System Design Tech Case Study Pulse #31] 500+ Million Users Daily : How Instagram Stories Actually Work
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[System Design Tech Case Study Pulse #31] 500+ Million Users Daily : How Instagram Stories Actually Work

Tech you must know....with flowchart and explanations how it works..

Naina Chaturvedi's avatar
Naina Chaturvedi
Nov 26, 2024
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[System Design Tech Case Study Pulse #31] 500+ Million Users Daily : How Instagram Stories Actually Work
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Hi All,

Instagram Stories is a tech marvel, capable of delivering ephemeral content to 500 million daily active users in real-time.

This system forms the backbone of one of Instagram's most popular features, enabling users to share and consume short-lived photos and videos seamlessly.

Let's dive deep into how this system works, following the journey of a Story from creation to viewer consumption, and exploring the impressive metrics behind each step . 

[System Design Tech Case Study Pulse #2] How Lyft Handles 2x Traffic Spikes during Peak Hours with Auto scaling Infrastructure..

System Overview 

Before we begin our journey, let's look at some key overall metrics of Instagram Stories: 

- Daily active users: 500 million 

- Stories created daily: Over 1 billion 

- Peak creation rate: Over 100,000 Stories per second 

- Average Story view time: < 1 second 

- Content types: Photos, videos, boomerangs, live streams 

- Maximum Story duration: 15 seconds per segment 

- Story lifetime: 24 hours 

- Global reach: Available in 150+ countries 

- Supported devices: iOS, Android, Web 

- System availability: 99.99% uptime achieved in 2023 


How Real World Scalable Systems are Build — 200+ System Design Case Studies:

System Design Den : Must Know System Design Case Studies

[System Design Tech Case Study Pulse #15] 80 Million Photos Daily : How Instagram Achieves Real Time Photo Sharing

[System Design Tech Case Study Pulse #20] Serving 1 Trillion Edges in Social Graph with 1ms Read Times : How Facebook TAO works

[System Design Tech Case Study Pulse #9] Facebook’s News Feed Algorithm Marvel: How it Serves 2.9 Billion Daily Active Users Using PyTorch and Cassandra

[System Design Tech Case Study Pulse #2] How Lyft Handles 2x Traffic Spikes during Peak Hours with Auto scaling Infrastructure..

[System Design Tech Case Study Pulse #12] 8+ Billion Daily Views: How Facebook’s Live Video Ranking Algorithm Processes Daily Views Using Storm and Memcache

[System Design Tech Case Study Pulse #18] Tinder 1.5 Billion Swipes per Day : How Tinder Real Time Matching Actually Works

[System Design Tech Case Study Pulse #17] How Discord’s Real-Time Chat Scales to 200+ Million Users

[System Design Tech Case Study Pulse #13] 20 Billion Messages Daily: How Facebook Messenger Actually Works

[System Design Tech Case Study Pulse #16] How Facebook’s Live Video Ranking Algorithm Works to Process 8+ Billion Daily Views

[System Design Tech Case Study Pulse #16] 100+ Million Requests per Second : How Amazon Shopping Cart Actually Works

[System Design Tech Case Study Pulse #11] Serving 132+ Million Users : Scaling for Global Transit Real Time Ride Sharing Market at Uber

[System Design Tech Case Study Pulse #8] Processing 2 Billion Daily Queries Using Unicorn and Apache Thrift : Facebook’s Graph Search Secret Sauce

[Tuesday Engineering Bytes] How Netflix handles millions of memberships efficiently?

[Friday Engineering Bytes] The Billion-Dollar Question — What’s My ETA? How Uber Calculates ETA…

[Saturday Engineering Bytes] What happens Once You Press Play button on Netflix..

[Monday Engineering Bytes] FAANG level — How to Write Production Ready Code ?

[Tuesday Engineering Bytes] Impressive Tech Behind YouTube’s Scaling to 3 Billion Users: Inside Vitess Database Clustering

[Thursday Engineering Bytes] Binge-worthy Backend: Netflix’s 99.99% Uptime Serves 230Million Users Globally!

[Friday Engineering Bytes] At Amazon How 310 Million Users Experience Lightning-Fast Load Times

[Monday System Design Bytes] — How to solve any system design question ( with detailed case study example)

[Tuesday Engineering Bytes] How PayPal Manages Over 400 Million Active Accounts Seamlessly?


Now, let me walk through the Story creation and consumption process and see how these numbers translate to real-world performance. 

How things Work —

1. Story Creation and Upload 

The journey begins when a user creates a new Story: 

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