Codetown ::: a software developer's community
September 11, 2008 at 8am to September 13, 2008 at 6pm – Grand Bohemian Hotel I wanted to invite you to join me at Izeafest in a few weeks. http://www.izeafest.com is an event about content creation, blogging and social marketing. It's aimed at social marketers that want to le… Organized by Izea | Type: Conference
September 11, 2008 at 6pm – Dave and Busters The 3rd Quarter SFOUG meeting is scheduled for September 11th, 2008 and will have two exciting presentations; An Oracle Technology Update which will include an overview of Oracle's new products and r… Organized by Jay O'Leary | Type: Meeting
September 11, 2008 at 6pm – DeVry University - Rm 126 This month James Robertson will be giving us a talk on Seaside, a web framework for developing applications in Smalltalk. If you’re passionate about Ruby or Rails, you should really take a moment t… Organized by Gregg Pollack | Type: Meeting
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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Netflix extended its prioritized load-shedding implementation to the individual service level to further improve system resilience. The approach uses cloud capacity more efficiently by shedding low-priority requests only when necessary instead of maintaining separate clusters for failure isolation.
By Rafal GancarzWenjie Zi of Grammarly addressed the high failure rates in machine learning at QCon SF 2024, revealing challenges from misaligned business goals to poor data quality. She advocated for a "fail fast" approach and robust MLOps infrastructure, emphasizing that learning from failures can drive success. Clear objectives and rigorous practices are essential for effective implementation.
By Andrew HoblitzellAt QConSF 2024, Cody Yu presented how Anyscale’s Ray can more effectively handle scaling out batch inference. Some of the problems Ray can assist with include scaling large datasets (hundreds of GBs or more), ensuring reliability with spot and on-demand instances, managing multi-stage heterogeneous compute, and managing tradeoffs with cost and latency.
By Andrew HoblitzellAt QCon SF 2024, Faye Zhang gave a talk titled Search: from Linear to Multiverse, covering three trends and techniques in AI-powered search: multi-modal interaction, personalization, and simulation with AI agents.
By Anthony AlfordThe WildFly community announced the latest release of WildFly 34, emphasizing the significant changes made to the WildFly Preview. Including support for Jakarta Data 1.0, MicroProfile REST Client 4.0, and MicroProfile Telemetry 2.0. Other minor updates include ORM 6.6.x, Hibernate search 7.2, and FasterXML Jackson 2.17.
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