40-HOUR DEBUGGING

User reports: "My account won't load." Engineer starts debugging. 40 hours later: Found it. A memory leak in the billing service. But here's the scary part: The memory leak didn't break the billing service directly. It made billing SLOW. Which made playback TIMEOUT. Which made recommendations RETRY. Which spiked load on BILLING. Which made timeouts happen MORE. This is cascading failure. Across 300 services. At Netflix, debugging a single incident meant tracing through 15-20 services. One memory leak = 16 hours to find = cascading failures across the entire system. This happened constantly. Compare to Stripe: Stripe runs a monolith in Ruby. Millions of requests per day. One team understands the entire system. When something breaks, one engineer traces ONE codebase. Different tradeoff. Different cost. The lesson: With 300 microservices, every bug becomes an interconnected puzzle. Watch the full breakdown for how Netflix, Stripe, and Amazon handled this. Full video in bio 👆 Subscribe for architecture lessons from companies that paid to learn.

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Видео 40-HOUR DEBUGGING канала Engineering in Production