Codetown
Codetown ::: a software developer's community
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We've had a unique opportunity to speak with Brion Vibber recently at the October Orlandojug meeting. Let's discuss what we learned for those who couldn't attend and to expand on what we heard. We'll discuss technical and socio-cultural topics.
Members: 9
Latest Activity: Oct 27, 2011
About Wikipedia Place
Wikipedia is arguably the most popular and high volume site on the web. Brion Vibber has been the tech guy since the start. He described the initial architecture on Swampcast as just a couple of LAMP servers in Tampa. Since then the architecture has evolved and many lessons have been learned.
There are also workflow, ancillary sites, the community aspect and many other aspects of Wikipedia we can learn from and even influence in the future.
(book photo from FromOldBooks)
Discussion Forum
Wikipedia Architecture - High Level View
The Wikipedia website began as a couple of LAMP servers. Brion described the wiki he chose and other details in the…Continue
Tags: vibber, performance, LAMP, swampcast, architecture
Started by Michael Levin Nov 2, 2009.
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Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
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By Leela KumiliSlack Rebuilds Notification System, Reports 5X Increase in Settings Engagement
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By Leela KumiliGitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses
GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.
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Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.
By Sudeep Das, Pradeep MuthukrishnanArticle: Redesigning Banking PDF Table Extraction: A Layered Approach with Java
PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.
By Mehuli Mukherjee
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