Why Software Systems Fail Under Load (The Scaling Mistakes Teams Repeat) скачать в хорошем качестве

Why Software Systems Fail Under Load (The Scaling Mistakes Teams Repeat)

What actually causes software systems to break under traffic spikes? Why do outages happen even when servers aren’t “down”? In this video, you’ll learn how modern software systems scale — and why they often fail under load. We break down the real mechanisms behind growth and reliability, including vertical vs horizontal scaling, load balancing, coordination overhead, and the fundamental tradeoffs described by the CAP theorem. You’ll see why scaling isn’t just “adding more servers,” how small failures cascade into major outages, and what architectural habits separate resilient systems from fragile ones as demand grows. This video gives you the mental models needed to design systems that stay fast, available, and reliable — even when traffic surges. This episode kicks off the Systems & Scale arc in the Enginerds Fundamentals series: calm, clear explanations of the technologies that power modern software, platforms, and infrastructure. ⏱️ CHAPTERS 0:00 – Why Systems Fail Under Load 1:30 – Why Coordination Is the Hard Part 3:01 – The CAP Theorem Explained Simply 4:29 – How Small Failures Cascade 6:00 – Why Single Servers Hit Hard Limits 7:30 – What Auto-Scaling Actually Solves 9:00 – Consensus and Tradeoffs at Scale 10:30 – Designing for Flexibility Under Load 11:59 – Consistency Choices in Distributed Datastores 13:28 – Practical Habits of Resilient Systems 14:57 – The Hidden Decisions Behind Reliability ------ Website: https://www.enginerds.com X (Twitter): https://x.com/EnginerdsNews