Scaling and stabilizing cloud services in the face of torrential volumes of traffic is one of the major problem spaces that defines our language ecosystem. Problems such as reliability, predictability, throughput, efficiency, self-healing, and such are the primary factors which largely dictate both architectural and implementation decisions.
In this talk, we will peel apart how these factors manifest on the JVM, ultimately motivating not only the asynchronous I/O paradigm in general but effect systems in particular, with a special emphasis on performance and efficiency in the real world.
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