Application scalability and Java HPC
Java High Performance Computing (HPC ) refers to the ability of an application to handle different levels of usage. A highly scalable application will only require additional resources in order to handle higher usage loads. An application that is not scalable will require modifications to the application itself in order to handle higher usage loads. Java HPC allows a program to handle different loads, but may limit application performance and functionality. In this section on Java HPC, get the latest news, research and tutorials to help make your applications fit your business needs.
News:1 - 3 of 19
What Java on the Azure cloud means to the enterprise community
25 Aug 2013
News - As Microsoft makes Java and the JDK a first class option on their Azure cloud, the enterprise Java community stands to benefit in many ways.
Why Azul Systems was the right choice for the Microsoft Azure cloud
25 Aug 2013
News - When choosing to embrace the enterprise Java community, Microsoft Azure chose Azul Systems to built and customize the Java runtime for the Azure environment.
Embracing OpenStack: How Red Hat commoditized open source cloud computing
17 Jun 2013
News - By leveraging OpenStack, Red Hat plans to commoditized cloud computing, just like they commoditized open source Linux ten years ago.
Reference & Learning:1 - 3 of 87
Docker and containerization: The uncontainable trend of 2015
03 Apr 2015
Feature - Containerization, especially using new and exciting platforms like Docker, is a massive trend in the industry. Find out how to leverage this trend to run applications, host operating systems and gain even more benefits from running in a fully virtualized...
Can a pattern become an anti-pattern? How to avoid the loose coupling mistake
15 Jan 2015
Feature - Nobody is debating the benefits of loose-coupling, but far too many SOA architects take the practice too far. Make sure you know when loose-coupling makes sense, and more importantly, when it doesn't.
Going beyond big data processing to achieve big data understanding
04 Dec 2014
Feature - Big data solutions have given enterprises the power to handle, manage and process massive amounts of information, but how do organizations extract meaning from that information? Big data architecture is evolving to do just that.
Expert Technical Advice:1 - 3 of 11
Avoid JVM de-optimization: Get your Java apps runnings fast right fromt the start
13 May 2014
Tip - Many organizations warm up their JVMs before heavy loads and transaction volumes occur, but well intentioned routines that are poorly planned can actually de-optimize the Java runtime. Here are some tips from some of the industry's foremost experts on...
Optimizing JVM performance with smart garbage collection (GC) and bytecode caching
02 May 2014
Tip - Some JVM optimization techniques can actually slow down the Java Virtual Machine, but by optimizing garbage collection and using overriding the bytecode caching mechanisms, DevOps professionals can increase the performance of their systems.
Improving Java performance by minimizing Virtual Machine (JVM) latency
01 May 2014
Tip - Users demand that their applications run fast, but working with Java bytecode presents optimization problems that other architectures do not encounter. Here we look at how to improve the performance of the Java Virtual Machine (JVM) by minimizing the...