Get Summaries of Big Tech Engineering Blog Posts on Frontend, Backend, Machine Learning, Data Engineering and more!
How Netflix Implements Load Shedding
How Netflix classifies traffic and sheds load to ensure a smooth experience during periods of high usage.
How Khan Academy Rewrote their Backend
Khan Academy's switch from a Python 2 monolith to a services-oriented backend written in Go.
How PayPal Built a Database that serves 350 Billion Requests Per Day
PayPal open sourced JunoDB, a distributed key value store. Also, how Dropbox reduced their search latency and why Val Town migrated away from Supabase
Arpan KG /
How Booking.com Searches Through Millions of Locations in Milliseconds
How Google stores Exabytes of Data
A look into Google Colossus, a massive distributed file system that stores exabytes of data. Plus, when is short tenure a red flag? How to manage technical quality in a codebase and more.
Scaling Microservices at DoorDash
Common microservice failures at DoorDash and how they mitigate them. Plus, nine ways to shoot yourself in the foot with Postgres.
How Slack sends Millions of Messages in Real Time
Plus, how Jane Street writes tests, challenges with caching, why tail latencies matter and more.
Introduction to Distributed Consensus and Paxos
How Etsy Scaled Their Database
Plus MIT's latest Intro to Deep Learning course, Logical Clocks in Distributed Systems, Twitter's Rec Algorithm and more.
Arpan KG /
A Dive Into The CAP Theorem (Quastor Pro)
A dive into the CAP Theorem, the exact definitions of Consistency, Availability, Partition Tolerance and more.
How Faire Scaled Their Engineering Team
Plus, how to build ChatGPT Plugins, how Amazon does CI/CD, scaling a Notification Service and more.