Codetown
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All Events in Sarasota (3)
October 15Wednesday
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Sarasota JUG - JRuby
October 15, 2008 at 6pm – Sarasota Can the Java and Ruby camps finally get together and feel the love? We may find out at the next meeting of the Sarasota Java Users group. Steve Goldsmith will discuss JRuby and using the Java Api.… Organized by Dave Moskowitz | Type: meeting
January 21Wednesday
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Sunjug: Building and Profiling an Application with Skyway, Netbeans, and JPA
January 21, 2009 at 6pm – Sarasota In this presentation, Joel Fradkin will describe useful several tools for building web applications. First, Joel will present a JPA backed application built using Netbeans. He will create an entity… Organized by David Moskowitz | Type: Meeting
December 11Wednesday
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OrlandoJUG
December 11, 2013 from 6pm to 9pm – Sarasota The SUNJug is having a brew night 12/11/. Consider driving out to Sarasota and meeting some like minded people. I hear Chris is a brew master. http://www.sunjug.org/2013/december Rideshare. Here a… Organized by Michael Levin | Type: 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
NVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges
Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for 70B+, 120B+ parameter models, or pipelines with large context windows, require multi-node, distributed GPU deployments.
By Claudio MasoloKarrot Improves Conversion Rates by 70% with New Scalable Feature Platform on AWS
Karrot replaced its legacy recommendation system with a scalable architecture that leverages various AWS services. The company sought to address challenges related to tight coupling, limited scalability, and poor reliability in its previous solution, opting instead for a distributed, event-driven architecture built on top of scalable cloud services.
By Rafal GancarzGrowing Yourself as a Software Engineer, Using AI to Develop Software
Sharing your work as a software engineer inspires others, invites feedback, and fosters personal growth, Suhail Patel said at QCon London. Normalizing and owning incidents builds trust, and it supports understanding the complexities. AI enables automation but needs proper guidance, context, and security guardrails.
By Ben LindersArticle: Scaling Cloud and Distributed Applications: Lessons and Strategies
The article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
By Durai ArasanArm Launches AI-Powered Copilot Assistant to Migrate Workflows to Arm Cloud Compute
At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.
By Sergio De Simone
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