Codetown ::: a software developer's community
June 14, 2009 at 6pm to June 17, 2009 at 5pm – http://communications1.sun.com/r/c/r?2.1.3J1.2U2.12n4%5fO.CJ0nQo..H.GDZG.2M0m.bW89MQ%5f%5fCJfQFKP0 This course provides students with the knowledge needed to use Java Platform, Enterprise Edition 5 and 6 (Java EE 5 and 6 platforms) best practices and patterns to design and architect robust enterpr… Organized by Sun | Type: sun, training, java, related
June 17, 2009 to June 19, 2009 – Portland Open Source Bridge is a new conference for developers working with open source technologies and for people interested in learning the open source way. Read more here: http://www.codetown.us/profiles/… Organized by | Type: conference
June 17, 2009 from 6pm to 8pm – Virtually Cuban (Photo from the Maker Faire '09, Oakland, CA - it's a Tesla!) GatorLUG Meeting Agenda for June 17, 2009 6:00 - 6:20 Announcements / General Discussion Palm Pre (Did you get one?) Hackerspace Upd… Organized by Clinton Collins | 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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