Sometimes you want to profile your open source clustered cache, but no one will give you a free license for it. So here's a TLDR note on the various kinds of profiling and profiler technologies. Includes fleet wide continuous profiling using eBPF based profilers.
Being Data Driven is not the same thing as using AI or ML.
What does a Data Driven Approach to market making looking like?
What are the main performance drivers of a crypto spread trading strategy?
How does your machine resource usage vary if you log to console vs log to file? What about if you're using GraalVM instead of the normal JVM? Know your tools.
This may sound a little crazy but I wanted to see if there was any difference in performance when running JMH benchmarks on bare metal vs. a container. Know your tools.