Codetown
Codetown ::: a software developer's community
All group Events (4)
December 15Wednesday
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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
February 23Thursday
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Running Java, Play! and Scala Apps on the Cloud
February 23, 2012 from 6pm to 8:30pm – Orlando James Ward from Heroku will be presenting at the Orlando Java User Group. Session Description: Heroku is a Polyglot Cloud Application Platform that makes it easy to deploy Java, Play! and Scala… Organized by James Ward | Type: orlando, java, user, group
May 14Wednesday
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GatorJUG - Hello Java 8 with Adam Davis
May 14, 2014 from 6pm to 9pm – Santa Fe College Calling all Java lovers! Our May, 2014 meeting is coming up. Please RSVP, spread the word and invite a friend. Join us and keep your skills sharp. Network and find new projects and people for your ex… Organized by Dan Lackey | Type: java, user, group, meeting, gatorjug, codetown
August 22Wednesday
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Introduction to TornadoFX Workshop
August 22, 2018 from 6pm to 7pm – Chicago 1871 In a world where everyone and their mother uses web development, a quiet grassroots movement is bringing back native development. Whether you're brand-new to coding, or you just have framework fatigu… Organized by Chicago GDG | Type: google, developer, group, meetup
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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