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Explore Litestream + SQLite: Scale to 1M Users Without Postgres or Cloud Bills with 24,764 views, 873 likes, and 57 comments. Experience the impact of this video content that has captured audience attention.

Are you paying massive cloud bills for a managed Postgres server when you could be running the exact same workload for $0.03 a month? Discover why elite engineering teams (like Expensify, handling 4 Million QPS) are abandoning heavy database clusters and moving back to SQLite. 🔔 Subscribe: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w?sub_confirmation=1 💙 Become a Member: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w/join 🐦 Twitter/X: https://x.com/cloud_codes 💬 Discord: https://discord.gg/4kJqEBMMf In this video, Cloud Codes breaks down the system design of the ultimate single-node database architecture using SQLite and Litestream. We explore the massive performance difference between a network hop (Postgres taking 1+ milliseconds) and an in-process query (SQLite answering in 20 microseconds), and how "Write-Ahead Logging" (WAL mode) allows unlimited simultaneous readers. We also dive deep into the genius of Litestream (created by Ben Johnson, now at Fly.io). Learn how it completely solves the "Single Point of Failure" problem by continuously streaming SQLite database changes to an S3 bucket for literal pennies, allowing for point-in-time recovery. Finally, we discuss the honest catches: why you still can't have multiple concurrent writers, and when you should actually stick with a managed PostgreSQL cluster. ⏱️ TIMESTAMPS: 0:00 - The $744 Postgres Bill vs the 3¢ SQLite File 1:13 - The Cost of Amazon RDS 1:56 - How Litestream Works (Continuous S3 Backups) 3:54 - Network Latency: Why Postgres is "Slow" 4:50 - The N+1 Query Problem Disappears 5:55 - Does SQLite Scale? (Expensify's 4M QPS) 7:36 - Who Built Litestream? (Ben Johnson & Fly.io) 8:57 - The Honest Catch: Single Node & Recovery Time 10:02 - Summary: The Death of the Database Server #sqlite #postgres #database #softwareengineering #systemdesign #cloudcodes #backend #litestream #aws #programming #webdevelopment User Queries: sqlite vs postgresql performance benchmark how to use litestream tutorial can sqlite scale to a million users how expensify uses sqlite 4 million qps stop using postgres for side projects system design database replication litestream what is write ahead logging wal mode sqlite how to backup sqlite to s3 fly io litestream ben johnson best database for solo founders 2026

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