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Architecting Real-Time Ads Platform

A comprehensive series exploring the design and architecture of real-time advertising platforms. From system foundations and ML inference pipelines to auction mechanisms and production operations, we dive deep into building systems that handle 1M+ QPS while maintaining sub-150ms latency at P99.

5 posts

  1. Part 1: Real-Time Ads Platform: System Foundation & Latency Engineering
  2. Part 2: Dual-Source Revenue Engine: OpenRTB & ML Inference Pipeline
  3. Part 3: Caching, Auctions & Budget Control: Revenue Optimization at Scale
  4. Part 4: Production Operations: Fraud, Multi-Region & Operational Excellence
  5. Part 5: Complete Implementation Blueprint: Technology Stack & Architecture Guide

Engineering Platforms at Scale: The Constraint Sequence

In distributed systems, solving the right problem at the wrong time is just an expensive way to die. We've all been to the optimization buffet - tuning whatever looks tasty until things feel 'good enough.' But here's the trap: your system will fail in a specific order, and each constraint gives you a limited window to act. The ideal system reveals its own bottleneck; if yours doesn't, that's your first constraint to solve. Your optimization workflow itself is part of the system under optimization.

3 posts

  1. Part 1: Why Latency Kills Demand When You Have Supply
  2. Part 2: Why Protocol Choice Locks Physics When You Scale
  3. Part 3: Why GPU Quotas Kill Creators When You Scale

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