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JavaScript Village
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JavaScript and the world of technologies that work along with it.
Members: 1
Latest Activity: Jun 22, 2017
About the JavaScript Village
Don't you think it's about time we started a JavaScript group? JavaScript has exploded. At this point, that's an understatement. We're going to focus on the whole JavaScript world here and subgroups will fall out later. HTML5, CSS, Node, Express, AngularJS, the list seems to go on forever. This is a work in progress, so stay tuned as we grow. Join this group to keep up with the latest content.
Discussion Forum
Uber Case Study - Using Node.js
I was looking around for case studies about companies using Node and ran across this one. Uber's architecture involves Node. This discussion is a look at how the decisions were made to change the…Continue
Tags: js, javascript, codetown, node
Started by Michael Levin Jun 22, 2017.
Know Node?
If you're interested in Node.js, this is a great starting point. Ryan Dahl is the author. This is a video of his intro presentation.…Continue
Started by Michael Levin Feb 18, 2017.
Welcome to JavaScript Village!
You're going to love it here! Like minded people and a mind boggling assortment of…Continue
Tags: codetown, javascript
Started by Michael Levin Feb 18, 2016.
Comment Wall
Comment
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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