The Limits of Copy-on-write: How Ruby Allocates Memory

Anyone who’s run Unicorn (or Puma, or Einhorn) may have noticed a curious phenomena. Worker processes that have been forked from a master start with low memory usage, but before too long will bloat to a similar size as their parent. In a big production installation, each worker can be 100s of MBs or more, and before long memory is far and away the most constrained resource on servers. CPUs sit idle.
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Nezir Zahirovic

Freelance software developer Ruby On Rails (4 years) / MCPD .Net / C# / Asp.Net / CSS / SQL / (11 years)

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