System Design First Principles: Master the Math of Scale[2/15] скачать в хорошем качестве

System Design First Principles: Master the Math of Scale[2/15]

Are you still looking at "Average Latency" on your dashboards? That’s your first mistake. In this video, we dive deep into the Math of Scale. Moving from a junior to a senior engineer isn't just about writing more code; it’s about shifting your mindset from averages to distributions. When you operate at the scale of millions or billions of requests, "rare" events become "constant" features of your system. What you’ll learn in this deep dive: The Hallucination of Averages: Why a "flat 100ms average" can hide the fact that thousands of your users are experiencing 15-second load times. Obsessing Over the Tail: Why P99 (the worst 1% experience) is the only metric that truly tells the story of your system's health. Tail Latency Amplification: The "Microservice Trap"—how 100 services with 99% reliability can lead to a 64% failure rate for the end user. Throughput vs. Latency: Understanding "The Knee" and why 100% hardware utilization is actually a recipe for disaster. Amdahl’s Law: Why you can’t escape the serial bottleneck, even with infinite processors. The Four Golden Signals: How to monitor Latency, Traffic, Errors, and Saturation. The Masterstroke: How to use "Hedged Requests" to achieve a 100x reduction in tail latency. The Senior Challenge: Go to your dashboard today. What is your P99-to-mean latency ratio? If your traffic doubled tomorrow, which physical resource (CPU, RAM, or Disk I/O) would cause your P99 to explode? Timestamps: 0:00 - The Problem with Averages 1:45 - P50 vs. P99: Finding the "Tail" 3:15 - Scale: When Rare Events become Constant 4:30 - The Microservice Trap (Tail Amplification) 6:10 - Throughput, Latency, and the "Queuing Delay Explosion" 8:00 - Amdahl's Law & Serial Bottlenecks 9:45 - The Four Golden Signals of SRE 11:20 - Hedged Requests: A 100x Improvement 12:45 - Summary: Statistical Engineering #SystemDesign #SoftwareEngineering #Scalability #BackendDevelopment #SRE #DistributedSystems #Coding #Architecture #TechLead #AmdahlsLaw #TailLatency