Innovations for Java running in containers

This blog is co-authored by Hang Shao, Marius Pirvu, Tobi Ajila and Vijay Sundaresan. 1.     Introduction Over a decade ago, the common form of deployment was large monolithic applications that handled all the business logic. In this model applications typically had long deployment windows and they were typically deployed on large on-prem server farms. Since…

A glimpse into performance of JITServer technology

In a previous blog we took a sneak-peek into JITServer technology which relieves the JVM from the negative effects of JIT compilation (interference due to JIT usage of CPU and memory) by offloading it to a remote process. In this article we are going to put this technology to the test, measuring a few key…

Free your JVM from the JIT with JITServer technology

State of the art Java Virtual Machines (JVMs) employ Just-in-Time (JIT) compilers to improve the throughput of Java applications. However, JIT compilers do not come for free: they consume resources, in terms of CPU and memory, and therefore they can interfere with the smooth running of Java applications. Wouldn’t it be nice to keep all…

Changes in Tril

This post describes my fall 2019 internship in the Eclipse OpenJ9 team. After 4-months study term at school, I was excited to return to the team. I joined the OMR team and got the chance to work on Tril (the Testarossa Intermediate Language). Tril is a Domain Specific Language (DSL) for generating the Testarossa Intermediate Language…