All Things Distributed
AUGUST 17, 2012
Werner Vogels weblog on building scalable and robust distributed systems. Several of the principles from this paper have made it into systems I have since built. I have been a fan of much of Matts work as he combined common sense engineering with excellent intellectual innovation. All Things Distributed. Comments ().
The Agile Manager
MAY 31, 2019
True, both IBM and Microsoft were subject to regulation in 1956 and 2001, respectively, to limit their monopolistic powers. But neither suffered dents in their financial returns as a result (attorney fees notwithstanding), and the tech industry innovated in ways that made their respective monopolistic states very short lived.
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All Things Distributed
NOVEMBER 30, 2016
The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Developers can now build powerful conversational interfaces quickly and easily, that operate at any scale, on any device.
Adrian Cockcroft
JUNE 21, 2022
Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else. as a result there were product and messaging changes.
ACM Sigarch
NOVEMBER 4, 2019
The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks. Conference.
The Netflix TechBlog
MARCH 25, 2019
You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.
Highly Scalable
MARCH 10, 2015
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.
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