GatorJUG Talk in Rich User Interfaces a Success

James Ward of Adobe Software gave a brilliant talk last night at the Gainesville Java User Group. We met at beautiful Santa Fe College north of town. Just walking across campus was a pleasant experience with the tall trees and Spanish moss draping from their branches.

Prior to the meeting, James and I dropped by the McRorie Community Garden.



James got to smell the fresh basil and spotted some ripe jalapenos! It was nice to have bit of the natural beauty of Florida to welcome our guest.

James showed us how to use Flex Builder, the IDE used to build rich user interfaces with Flex. We saw the Tour de Flex website, full of useful example code available to paste into your project. We saw a live remoting example powered by BlazeDS that displayed dots on a map that appeared realtime as users all over the world visited the Tour de Flex website.

If you missed last night's GatorJUG meeting featuring James Ward you can still catch a repeat performance at the OrlandoJUG tonight. Please be sure to RSVP here http://www.codetown.us/events/orlandojug-flex if you intend to come!

Views: 50

Comment

You need to be a member of Codetown to add comments!

Join Codetown

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



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 Masolo

Karrot 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 Gancarz

Growing 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 Linders

Article: 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 Arasan

Arm 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

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service