Codetown ::: a software developer's community
Last nights OJUG meeting was great. Beth and Tracy did an amazing job of setting things up in the room and the presentation was wonderfully entertaining and insightful. It was spectacular and informative, what more could you ask for? Anyone who was unable to come certainly missed out, but maybe next year we'll have them give this presentation again. You never know.
Tracy provided us with a wealth of knowledge in terms of how to be recruited. His presentation on Working WIth Recruiters…
ContinueAdded by Anjuli Vivian Atwal on June 24, 2011 at 1:49pm — No Comments
I know what you're thinking, "So what if Apple gets another patent?" or "What's left that they don't already have?". Apparently what Apple doesn't have is a multitouch patent that can distinguish between how many fingers are touching an item on the screen and how that item can be manipulated/maneuvered in a frame or the whole screen. Confused? Probably, if…
ContinueAdded by Anjuli Vivian Atwal on June 23, 2011 at 9:58am — No Comments
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.
Check out the Codetown Jobs group.
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.
By Shaaf Syed© 2024 Created by Michael Levin. Powered by