Ian Brown on X: "@sayrer That plus systems like Aurora/Mesos make it easier to spawn e…"

@sayrer We don’t go into it in detail in this talk, but it’s less ML and more the fine-grained nature of Twitter’s services.

@sayrer Even a random parameter value generator would have some success.

@sayrer Because the small scope and focus of each service makes it easy to create an objective measurement of performance.

@sayrer Example: "number of user lookups per minute of GC"

Ian Brown @igb

@sayrer That plus systems like Aurora/Mesos make it easier to spawn experiments and clone/mutate service configs.

2:52 AM · Jul 10, 2019 View on Twitter ↗

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@sayrer Anyway, check out @ysr1729’s work in this area for more detail. He’s been the driver of the bulk of our ML investigations.