Douglas Hawkins
ÜberConf
Denver · June 24 - 27, 2014
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
JVM Mechanics
HotSpot promises to do wonders for us by Just-in-Time (JIT) compiling the “right” code for us, but how does it makes those decisions? And, perhaps more importantly, what happens when it's wrong?
What's in a Type? A Mathematical View of the Java Type System
Over the years, Java developers have learned through trial-and-error the best ways to use Java's type system. But certain parts of the type system like wildcard generics and covariant return types are
under used; in-part, because they are not well understood.
The Inner Workings of the JIT
Just like you need to understand execution plans to write efficient SQL, it helps to understand the JVM's execution engine to write efficient Java code.
Java Optimizations That Matter (and Some That Don't)
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.
Java Optimizations That Matter (and Some That Don't)
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.
JVM Mechanics
HotSpot promises to do wonders for us by Just-in-Time (JIT) compiling the “right” code for us, but how does it makes those decisions? And, perhaps more importantly, what happens when it's wrong?
Understanding Garbage Collection
Most of us don't want to go back to the days of malloc and free, but the garbage collector isn't always our friend.
Understanding Concurrency
Unlike earlier languages, Java had a well-defined threading and memory model from its inception, and over the years additional packages have been added to the standard library to help solve concurrency problems.
Despite all this, Java's memory model still remains poorly understood and
its concurrency libraries under utilized.