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Moving beyond the “magic scaling sauce” myth

TL;DR AI

Key summary

2 min read
  1. The excerpt warns that systems working today can degrade as load increases, citing user and data growth examples.

  2. Scalability means a system’s ability to handle increased load and depends on specific workload metrics like requests per second and read/write ratios.

  3. Scaling options include vertical scaling (stronger single machines) and shared-memory approaches, but high-end single machines can be disproportionately costly and bottlenecked.

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