Douglas Hawkins
Lead Developer Java Performance Monitoring at Datadog
Douglas Hawkins has been passionately developing software for the past 20 years.
Throughout Doug's career, he has focused on creating performance intensive applications
in Java ranging from bioinformatics to financial exchanges.
After 10 years as a Java developer, Doug transitioned to working on Azul's Java Virtual Machine.
Today, Doug continues his interest in building performance tools for developers as the
Lead Developer of Datadog's Java Application Performance Monitoring.
While Doug's passion for developing software remains, his true passion is in sharing his
interest in low-level details and JVM performance with others.
Presentations
Architecting with Garbage Collection in Mind
Wednesday, 9:00 AM PDT
HotSpot provides a variety of garbage collectors with a variety of strengths and weaknesses. To get the most out of our applications, we need to pick the right garbage collector and design to take advantage of its strengths and avoid its
weaknesses.
In this presentation, you'll learn about criteria for picking a garbage collector, how to measure GC performance, and how to write code that works with rather than against the GC.
Architecting with Garbage Collection in Mind
Wednesday, 11:00 AM PDT
HotSpot provides a variety of garbage collectors with a variety of strengths and weaknesses. To get the most out of our applications, we need to pick the right garbage collector and design to take advantage of its strengths and avoid its
weaknesses.
In this presentation, you'll learn about criteria for picking a garbage collector, how to measure GC performance, and how to write code that works with rather than against the GC.
Java Optimizations That Matter (and Some That Don't)
Wednesday, 1:30 PM PDT
Early releases of Java performed poorly, but those issues largely disappeared long ago with the introduction of HotSpot. However, much of the performance advice for Java persists through hearsay from those early days.
In this talk, we'll forget the hearsay and take an objective look using benchmarking and profiling tools to find out which optimizations matter today and just as importantly those that don't.
How HotSpot Sees Your Code
Wednesday, 3:15 PM PDT
Just as a database creates an execution plan to run your SQL queries, HotSpot analyzes your Java code to determine how to best to run your code. And just as with a database where understanding indexes is important to achieving performance, there are a few core concepts that important to understanding Java performance.
In this talk, we'll explore the way HotSpot examines a piece of code in detail, learning not just about the optimizations that HotSpot performs but the hazards that get in its way. In the end, you'll learn how to work with HotSpot so you can write faster code with less effort.