Michael Dowden introduces JMeter and explains how to develop a data-driven methodology to determine some of the limits of a web application: max number of concurrent users, bottlenecks, etc.
In this solutions track talk, sponsored by Azul Systems, Gil Tene discusses common pitfalls encountered in measuring and characterizing latency, and ways to address them using some new open source tools.
Jonathan Worthington explains the garbage collection terminology, the trade-offs made by GC designers, and how to write GC-friendly code for better performance.
Dan North believes Agile scales if teams achieve contextual consistency through shared guiding principles, a clear vision and a common understanding.
Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.
Michael Nygard discusses several loopholes in the CAP theorem that can be used to engineer practical, real-world systems with desirable features.
Joe Armstrong describes the foundations of fault tolerant computation and the basic properties a system should have in order to be able to function in an adequate manner despite the occurrence of hardware and software errors, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.
In this solutions track talk, sponsored by Solace Systems, Aaron Lee discusses the value and challenges of efficiently moving information along with techniques and tools that can increase the rate and efficiency of data flows within big data architectures.
Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.
In this solutions track talk, sponsored by AppDynamics, Tom Levey discusses how to effectively monitor the end user experience and identify performance bottlenecks, and measuring the real-time revenue impact, by turning on the lights inside a mobile app.
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Featured Blog Posts
We get a lot of questions about our analytics-driven Application Performance Management (APM) collection and analysis technology. Specifically, people want to know how we capture so much detailed information while maintaining such low overhead levels. Read More.
Most technology folks have heard Marc Andreessen’s provocative statement, “Software is eating the world.” Whether you agree fully or not, you’re realizing that your business critical software applications increasingly drive both the top-line revenue growth and the bottom-line operational efficiency of your company – and often form the pillar of your business... Read More.
Wouldn’t do website load/performance testing any more without having an APM tool in place. Period. Full stop. End of story. I’ve been involved in website load testing for over 10 years, as a “end-user” when I was web operations manager for an online job board, as a team leader for a... Read More.
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