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The Big Archive for System Design - 2023 Edition (PDF) is available now. And it's completely FREE.

The PDF contains 𝐚𝐥𝐥 𝐦𝐲 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐩𝐨𝐬𝐭𝐬 published in 2023.

What’s included in the PDF?
🔹 Netflix's Tech Stack
🔹 Top 5 common ways to improve API performance
🔹 Linux boot Process Explained
🔹 CAP, BASE, SOLID, KISS, What do these acronyms mean?
🔹 Explaining JSON Web Token (JWT) to a 10 year old Kid
🔹 Explaining 8 Popular Network Protocols in 1 Diagram
🔹 Top 5 Software Architectural Patterns
🔹 OAuth 2.0 Flows
🔹 What does API gateway do?
🔹 Linux file system explained
🔹 18 Key Design Patterns Every Developer Should Know
🔹 Best ways to test system functionality
🔹 Top 6 Load Balancing Algorithms
🔹 Top 12 Tips for API Security
🔹 𝐀𝐧𝐝 100+ 𝐦𝐨𝐫𝐞

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How do you actually test your code nowadays?

If you want to redo it yourself, here's the GitHub repo with step-by-step instructions you can follow:
github.com/mikhailsychevb…

Watch an ex-YouTube engineer rebuild YouTube in 45 minutes.

By the end it's running:
- Home feed
- Video upload to the cloud
- Video playback from the cloud
- Data in a real database
- Search, using multimodal embeddings
- Deployed to a real URL

All of those explained in under an hour.

GPT-Live is the most natural, conversational voice model we've tried.

Under the hood, it pairs a new generation of voice model architecture with a serving system built for low latency.

To understand how it all works end to end, we sat down with two engineers on the GPT Voice team: Zahan Malkani and Justin Uberti (the creator of WebRTC).

In our deep dive, you'll learn:
- The three generations of voice systems: cascaded pipelines, turn-based end-to-end models, and full-duplex models
- Why separating thinking from talking is the core idea behind GPT-Live
- The engineering behind the serving system, including the live and async paths
- How evaluation differs for full-duplex voice systems
- Lessons for building realtime systems, and what's next for voice