Codetown
Codetown ::: a software developer's community
Wednesday, December 15, 2010
Featured Event
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Sunjug Cigar Night
December 15, 2010 from 6pm to 10pm – World of Beer - Sarasota Join us for the Sarasota Java Users Group Cigar Night at the World of Beer in Sarasota. Besides the excellent beer, World of Beer has cigars for sale as well. See http://wobsarasota.com for more in… Organized by David Moskowitz | Type: cigar, night
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GatorLUG - Linux Users Group
December 15, 2010 from 6pm to 9pm – The Lab Greetings All, You are invited to join us at the next GatorLUG meeting in beautiful (but way too cold ) Gainesville, Florida. We'll end a long year with a relaxed social meeting at The Laboratory.… Organized by Clint Collins | Type: user, group, meeting
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
Netflix Rolls Out Service-Level Prioritized Load Shedding to Improve Resiliency
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 GancarzQCon SF 2024 - Why ML Projects Fail to Reach Production
Wenjie 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 HoblitzellQCon SF 2024 - Scale out Batch GPU Inference with Ray
At 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 HoblitzellTechniques and Trends in AI-Powered Search by Faye Zhang at QCon SF
At 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 AlfordWildFly 34 Adds Preview of Jakarta EE 11 and Support for Jakarta Data
The 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.
By Shaaf Syed
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