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From 8 Python Workers to 1 JavaScript Process: A $10,000 Lesson

  • A technology choice collision occurred when a setup involving a 4-core, 8GB DigitalOcean droplet running Python 3.10 faced challenges with 100 HTTP requests per second.
  • Initially configured with 8 worker processes due to network I/O work, reducing workers caused issues like collecting socket files and system crashes.
  • Another service added threads rapidly, leading to handling network requests inefficiently and resulting in system problems.
  • The situation highlighted the importance of aligning technology choices with business requirements for efficient performance and scalability.

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