Friday, July 25, 2025

๐Ÿš€ Ever wondered how Uber magically knows where your driver is, how long they'll take, and routes them like a boss?

Well, it's not magic—it's a monster tech stack working behind the scenes. Here's a fun, human-friendly peek into Uber’s powerful engineering stack that keeps your rides smooth and timely. Let’s ride! ๐Ÿ›บ✨

๐Ÿ‘‡ Inside Uber’s Tech Engine (aka why your ride arrives on time):

๐Ÿ”ง Frontend Frameworks
– ๐Ÿงฉ Fusion.js: Uber’s home-grown React framework—think of it as React on protein powder ๐Ÿ’ช
– ๐Ÿ—บ️ Visualization.js: Renders maps faster than your eyes blink during surge pricing ๐Ÿ‘€⚡

๐Ÿ“ฑ Mobile Architecture
– ๐Ÿง  RIBs Framework: Replaces boring old MVC with something smarter and modular—like building with Lego Technic instead of Duplo ๐Ÿงฑ
– ๐Ÿ“ฒ Swift (iOS) & Java (Android): Handles different phones like a polyglot cabbie who knows every route ๐Ÿงญ

๐ŸŒ Service Mesh & Communication
– ๐Ÿ›ฃ️ Uber Gateway + NGINX: Real-time routing magic—like a traffic cop directing billions of microservices ๐Ÿšฆ
– ✉️ gRPC, QUIC & Thrift: The polyglot translators between services—no awkward silences here! ๐Ÿ—ฃ️

๐Ÿ”ง Service Layer
– ๐Ÿ—‚️ Flipr/UCDP: The universal config drawer every service shares—organized, unlike your sock drawer ๐Ÿงฆ
– ๐ŸŒ H3: Geospatial indexing that knows where you are, even if you don’t ๐Ÿคฏ
– ⚙️ uAct & Cadence: Async orchestration—like a conductor managing an orchestra of code ๐ŸŽผ
– ☕ Spring Boot: Java’s best friend—Uber uses it a lot

๐Ÿ’พ Databases & Storage
– ๐Ÿ“š DocStore: Think MySQL + PostgreSQL + RocksDB = memory like an elephant ๐Ÿ˜
– ๐Ÿ“ˆ Pinot & AresDB: Real-time data crunchers—data in, insights out, lightning fast ⚡
– ๐Ÿง  Alluxio: Big data caching so fast it finishes your sentence ๐Ÿง ➡️๐Ÿ’ฌ

๐Ÿ“Š Big Data Stack
– ๐Ÿงพ Hudi, Parquet: Store data in columnar fashion—Marie Kondo would be proud ๐Ÿ’ผ
– ๐Ÿ”ฅ Hive & Spark: Crunch data like breakfast cereal ๐Ÿฅฃ
– ๐Ÿšฐ Marmaray: Handles batch + stream data like a data bartender ๐Ÿน
– ๐Ÿ“ก Kafka + Flink: Event streamers—basically live sports commentary for data ⚽๐Ÿ“ข

๐Ÿ› ️ DevOps & Observability
– ๐Ÿ“ฆ Monorepo + Devpod: One repo to rule them all + fast iteration playground ๐ŸŽข
– ๐Ÿ” Spinnaker: CI/CD so smooth, your deployments won’t even notice ๐Ÿš€
– ๐Ÿ‘️ uMetric, uMonitor, M3: Monitoring tools watching your stack like hawks ๐Ÿฆ…


๐Ÿ’ฌ Final Thought:
Uber’s engineering is like a perfectly orchestrated jazz band ๐Ÿฅ๐ŸŽท—each service plays its part in harmony to get you from point A to B, in real time, at scale.

If you found this cool, share it with your fellow techies! ๐Ÿ’™
Follow me on LinkedIn as govind singh @itsgovindsingh and govind blog 


Let me know if you want a shorter version or want to tweak it for a specific role (e.g., data engineer, frontend dev, etc.)!

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