Java compilers take center stage in this second article in the JVM performance optimization series. Eva Andreasson introduces the different breeds of compiler and compares performance results from ...

Azul Platform Prime’s ReadyNow technology continuously learns from application usage across fleets of Java Virtual Machines (JVMs) and automatically selects the best warmup optimization patterns ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Today Azul announced Azul Intelligence Cloud, a new family of products that apply cloud resources to analyze and optimize Java fleets and provide actionable ...

The terms JVM tuning and Java optimization are often used interchangeably, but there is an important difference between the two practices. In short, JVM tuning requires some tradeoff between metrics ...

Scott Sellers is the co-founder and CEO of Azul, with 30 years of experience as an entrepreneur and executive in the technology industry. In a clear sign that businesses are searching for practical ...

Tel Aviv, March 31, 2021 – Granulate, an autonomous real-time computing workload optimization company, today announced a collaboration with Intel to show new Java-based performance results, with ...

The Java platform’s garbage collection mechanism greatly increases developer productivity, but a poorly implemented garbage collector can over-consume application resources. In this third article in ...

There is some overlap -- but they're fundamentally different. Java instrumentation will track each and every instance of a given metric. This can create performance issues. Java sampling involves ...