InfoQ Homepage Performance Content on InfoQ

Articles

RSS Feed

Newer Older

Implementing High Performance Parsers in Java

On certain occasions you will need to build your own parser, eg if there is nothing standard that fits the bill. This article walks through the steps of building a high performance parser

Jakob Jenkov
on Dec 09, 2013
To Execution profile or to Memory Profile? That is the question.

There are times when memory profiling will provide a clearer picture than execution profiling to find execution hot spots. In this article Kirk Pepperdine talks through some indicators for determining when to use which kind of profiler.

Kirk Pepperdine
on Dec 04, 2013
Is Your Application Ready?

We mostly ship software by date, squeezing all development and testing efforts toward that deadline. We prioritize what we think is important, and once our application passes a certain quality level, we’re ready to go live. But even when we do ship, can we tell the readiness status of our application?

Gil Zilberfeld
on Nov 22, 2013
Interview: Adrian Cockcroft on High Availability, Best Practices, and Lessons Learned in the Cloud

Netflix is a widely referenced case study for how to effectively operate a cloud application at scale. While their hyper-resilient approach may not be necessary at most organizations, Netflix has advanced the conversation about what it means to build modern systems. In this interview, InfoQ spoke with Adrian Cockcroft who is the Cloud Architect for the Netflix platform.

Richard Seroter
on Oct 11, 2013
Java

Tips for Tuning the Garbage First Garbage Collector

In July Monica Beckwith explored the theory of the new G1 GC Garbage First Garbage Collector. In this second installment, Monica delves into more practical aspects and provides guidance for tuning.

Monica Beckwith
on Sep 17, 2013
Experiments in Performance Management to foster High Performing Agile Teams

Experiments in Performance Management to foster High Performing Agile Teams: A question that often comes up – Agile talks about team performance so why am I measured on individual goals which have little to do with team performance? The author discusses some approaches which can bridge the gaps between performance management and team productivity.

Kamal Manglani
on Sep 13, 2013
Getting Started with HotSpot and OpenJDK

In this article, we look at the HotSpot Java Virtual Machine, and its implementation in the OpenJDK, both from a VM perspective and also in terms of its interaction with the Java class libraries.

Ben Evans
on Aug 27, 2013
C++/CX Performance Pitfalls

Writing applications in C++/CX is not like writing normal C++ applications. The interoperability between pure C++ code and the Windows Runtime (WinRT) can be surprisingly expensive. In this article based on Sridhar Madhugiri’s video, C++/CX Best Practices, we look at some of the ways to avoid performance problems in Windows 8 development.

Jonathan Allen
on Aug 09, 2013
Virtual Panel: Using Java in Low Latency Environments

Java is increasingly being used for low latency work where previously C and C++ were the de-facto choice. InfoQ brought together four experts in the field to discuss what is driving the trend, and some of the best practices when using Java in these situations.

Charles Humble
on Aug 01, 2013
Java

G1: One Garbage Collector To Rule Them All

Many articles describe how a poorly tuned garbage collector can bring an application's SLA commitments to its knees. Oracle's new G1 Collector in HotSpot moves away from the conventional GC model, where a Java heap splits into (contiguous) young and old generations, and instead introduces the concept of “regions”, for a generally more performant and manageable GC.

Monica Beckwith
on Jul 15, 2013
Virtual Panel: Performance Tuning Face-Off

In the world of application delivery, performance tuning still seems to elude the mainstream. InfoQ spoke to five luminaries of the performance monitoring space about why and what can be done. The result was quite an active debate. Members of the virtual panel: • Ben Evans • Charlie Hunt • Kirk Pepperdine • Martin Thompson • Monica Beckwith

Victor Grazi
on Jun 25, 2013
Java Garbage Collection Distilled

CMS, G1, Young Gen, New Gen, Old Gen, Eden, and the hundreds of JVM start-up flags... does this all baffle you when trying to tune the garbage collector to get the required throughput and latency from your Java application? Don’t worry, you are not alone. This article will attempt to explain the tradeoffs when choosing and tuning garbage collection algorithms for a particular workload.

Martin Thompson
on Jun 17, 2013

Newer Articles

Older Articles

InfoQ Software Architects' Newsletter

Articles