Remove 2005 Remove Innovation Remove Systems
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An Unbelievable Demo

Brendan Gregg

It was 2005, and I felt like I was in the eye of a hurricane. However, I was doing training and consulting for Sun, helping their customers with system administration and performance. Another difference was that there were few roles in Australia for engineers in 2005, unlike the US. You can't make this stuff up. tools (2006).

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Why Waits Alone Are Not Enough

SQL Performance

The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.". However, some seem to have missed Davidson's point regarding the importance of resources and rely almost entirely on waits to present a picture of query performance and system health.

Tuning 115
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The Return of the Frame Pointers

Brendan Gregg

The problem is that this system has a default libc that has been compiled without frame pointers, so any stack walking stops at the libc layer, producing a partial stack that's missing the application frames. This is pretty common and usually goes unnoticed as the flame graph looks ok at first glance.

Java 137
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A Clash of Mindsets: When New Products Depend on Existing Products

Strategic Tech

The system needs to be highly reliable because even just a little downtime can alienate loyal customers. The Nature of Evolution New innovations often become the platform for future innovations. Google Maps started life in 2005 as a desktop application for getting from point A to point B.

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Data Mining Problems in Retail

Highly Scalable

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The most typical use cases for this problem are recommender systems, personalized search results ranking, and targeted ads.

Retail 152
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge.