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In a pinch one way to deal with memory leaks is to wrap the offending work in a multiprocessing pool, forcing it to live in an ephemeral process


Indeed, I introduced this [0] as an option for every Python integration that runs on the Datadog Agent.

[0]: https://github.com/DataDog/integrations-core/pull/12986




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