In order to improve the performance of an application that involves IO, you should understand how your CPU cycles are spent and, more importantly, what is preventing higher degrees of parallelism in your application.
While focusing on improving the overall performance of the DataStax Node.js driver for Apache Cassandra, I’ve gained some insights that I share in this article, trying to summarize the most significant areas that could cause throughput degradation in your application.
Background
The JavaScript engine used by Node.js, V8, compiles JavaScript into machine code and runs it as native code. The engine uses three components to try achieve both low start-up time and peak performance:
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