@amanaryan23: ๐—›๐—ฒ๐—ฟ๐—ฒ ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜๐—ฒ ๐—ฟ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐—œ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—ถ๐—น๐—ฒ๐—ฑ ๐—ฎ๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐—ต๐—ผ๐˜„ ๐—ฒ๐—ป๏ฟฝโ€ฆ

X AI KOLs Timeline News

Summary

A compiled roadmap showing how engineers at Google, Microsoft, Meta, Amazon, and Netflix build real systems.

๐—›๐—ฒ๐—ฟ๐—ฒ ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜๐—ฒ ๐—ฟ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐—œ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—ถ๐—น๐—ฒ๐—ฑ ๐—ฎ๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐—ต๐—ผ๐˜„ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐˜€ ๐—ฎ๐˜ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ, ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜, ๐— ๐—ฒ๐˜๐—ฎ, ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป, ๐—ฎ๐—ป๐—ฑ ๐—ก๐—ฒ๐˜๐—ณ๐—น๐—ถ๐˜… ๐—ฎ๐—ฐ๐˜๐˜‚๐—ฎ๐—น๐—น๐˜† ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ ๐—ฟ๐—ฒ๐—ฎ๐—น ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€: ๐Ÿ‘‡
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Here is the complete roadmap I compiled after researching how engineers at Google, Microsoft, Meta, Amazon, and Netflix actually build real systems:

Phase 1 - Foundations (Weeks 1-3)

โ†’ Scalability: Vertical vs Horizontal- when each breaks

โ†’ Load Balancing: L4 vs L7, Round Robin vs Weighted vs Least Connections

โ†’ Caching: LRU, LFU, TTL, Cache Stampede, Hot Key problem

โ†’ CDN: how Netflix delivers video without touching a server for 99% of requests

โ†’ DNS: what actually happens when you type google[dot]com

Phase 2 - Data Layer (Weeks 4-6)

โ†’ SQL vs NoSQL: when each breaks, why Discord moved MongoDB โ†’ Cassandra โ†’ ScyllaDB

โ†’ Indexing, Sharding, Replication

โ†’ CAP Theorem: why Meta chose eventual consistency for their social graph

โ†’ Consistent Hashing: how Uber routes requests to the same server

Phase 3 - Async & Messaging (Weeks 7โ€“8)

โ†’ Message Queues: Kafka vs RabbitMQ - the real difference

โ†’ Fan-out patterns: how Twitter handles a celebrity with 50M followers tweeting

โ†’ Event-driven architecture

โ†’ Dead letter queues, at-least-once vs exactly-once delivery

Phase 4 - Advanced (Weeks 9-12)

โ†’ Rate Limiting: token bucket, leaky bucket, sliding window - how Uber does it

โ†’ Distributed Consensus: Raft, Paxos

โ†’ Microservices vs Monolith: when to split, when not to

โ†’ Observability: logging, metrics, distributed tracing

Phase 5 - Real System Designs (Weeks 13- 16)

โ†’ Design Twitter / Instagram feed

โ†’ Design WhatsApp / Discord

โ†’ Design Uber / OLA

โ†’ Design Netflix / YouTube

โ†’ Design Google Search / URL Shortener

โ†’ Design a Payment System like Stripe/Razorpay

I have build this roadmap from official engineering blogs, mock interviews, and studying how engineers at the companies above actually build these systems.

Iโ€™m sharing it in 16 posts. One concept at a time. With real examples. No fluff.

Save this post. Come back to it. Follow me (@amanaryan23) for the full series - starting this week.

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