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The main rules and best practices we daily use (and our tools recommend) to analyze and optimize the Java performance are no longer working. New approaches – like AI – are needed to gain back the performance wins JVMs offer

Java is ubiquitous in online services, yet ensuring Java applications’ availability and performance remains a challenging task. In this talk, we show how established industry approaches and widely accepted beliefs about Java tuning are wrong and how AI breaks through long-standing limitations. We will be looking at the surprising results AI achieved when tuning 100s of Java apps and we will debunk four common JVM tuning myths:

1) Garbage collector tuning: the industry uses specific guidelines and metrics to tune the GC, but are you really sure they lead to better application performance?

2) The Latency – Throughput – Footprint trade-off: is it a law of physics, or there are ways to achieve all of them at the same time?

3) Let the VM do it: why don’t you simply use the latest and greatest JVM and simply forget about JVM tuning?

4) Cargo cult JVM tuning: developers often copy and paste “good” JVM configurations across different applications, is this strategy actually effective?

 

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