Episode 5 Scaling Survival Guide

🎬 Episode 5: High-Scale System Design (1M Req/Sec) *Title:* System Design Deep Dive: Architecting for 1 Million Requests Per Second ``` How do global platforms handle millions of concurrent user requests without falling over? In Episode 5 of SysStack Lab, we explore high-scale distributed system design, walking through the architecture patterns required to handle 1M+ requests/sec with low latency and high availability. Master the essential components of scalable, enterprise-grade cloud systems. 📌 What You'll Learn: • Layer 4 vs. Layer 7 Load Balancing: Distributing high-concurrency traffic efficiently • Caching Strategies: Reducing database load using Redis and distributed edge CDNs • Event-Driven Architecture: Asynchronous message queuing with Apache Kafka • Database Scaling: Read replicas, vertical sharding, and horizontal partitioning • Distributed Resilience: Circuit breakers, rate limiting, and bulkhead patterns ⏱️ Timestamps: 0:00 - What Happens at 1 Million Requests/Sec? 0:45 - Traffic Ingress & Load Balancing Strategies 2:30 - Multi-Tier Caching: In-Memory & Edge CDNs 5:00 - Decoupling Services with Apache Kafka & Message Queues 7:15 - Database Sharding & Fault-Tolerance Patterns 8:45 - Final Takeaways & Launch Series Recap 🔔 Subscribe to SysStack Lab to level up your System Design and Cloud Engineering skills! 💻 GitHub: github.com/sysstack-lab 🌐 Website: sysstacklab.com #SystemDesign #DistributedSystems #SoftwareArchitecture #Scalability #SysStackLab ``` ---