This article will explain a different approach to traditional Multi User Performance testing; using the same tools but combine them with modern data visualisation techniques to gain early insight into location specific performance and application areas that may have "sleeping" performance issues.
The book Strength-based Lean Six Sigma: Building Positive and Engaging Business Improvement by David Shaked supports applying strength-based change approaches with lean thinking and Six Sigma. InfoQ interviewed David about applying strength-based techniques like appreciative inquiry, solution focused, positive deviance and 5-why's with Lean Six Sigma, and measuring performance in organizations.
In the review, Anand examines the coverage of Fast ASP.NET Websites book, which helps developers to learn the various techniques associated with the optimization of ASP.NET websites.
Lean has proved to be instrumental in moving beyond Agile with a practice of continuous improvement distincting between bugs and problems that directly effects on team performance and engagement. 2
Philipp K. Janert explains how to reliably auto-scale systems using a reactive approach based on feedback control which provides a more accurate solution than deterministic or rule-based ones.
In this article we present some of the most common performance analysis antipatterns in the enterprise platform, expressed in terms of their basic causes along with remediation strategies. 1
Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure. 1
Garbage Collection takes minutes to learn and a lifetime to master. In this article Master trainer/consultant Ben Evans summarizes his recent InfoQ presentation "Visualizing Garbage Collection"
In this article, author explores Cassandra CLI architecture model using JArchitect tool and CQLinq language to analyze its code base.
Anatomy of a light-weight, lockless, inter-thread communication framework in Java. 17
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 7
Sometimes memory profiling is better than execution profiling for finding execution hot spots. In this article Kirk Pepperdine talks through some indicators for determining when to use which profiler 7