Running Java, Play! and Scala Apps on the Cloud

Event Details

Running Java, Play! and Scala Apps on the Cloud

Time: February 22, 2012 from 6pm to 8:30pm
Location: Santa Fe College Building S - Room 326 http://www.sfcollege.edu/
Street: 3000 NW 83rd Street Building S Room S326
City/Town: Gainesville, FL 32608
Website or Map: http://www.sfcollege.edu/ htt…
Phone: Skype ::: mlevin77
Event Type: meeting
Organized By: James Ward and Mike Levin
Latest Activity: Feb 23, 2012

Export to Outlook or iCal (.ics)

Event Description

James Ward from Heroku will be presenting at the Gainesville Java User Group.

 Santa Fe College Building S - Room S326 http://www.sfcollege.edu/

Session Description:

Heroku is a Polyglot Cloud Application Platform that makes it easy to deploy Java, Play! and Scala apps on the cloud. Deployment is as simple as doing a "git push". This session will teach you how to instantly deploy and scale Java, Play! and Scala apps on Heroku.

Comment Wall

Comment

RSVP for Running Java, Play! and Scala Apps on the Cloud to add comments!

Join Codetown

Comment by Dan Lackey on February 6, 2012 at 3:23pm

We have room S326.  S building is next to Santafe's bookstore. 

Attending (9)

Might attend (1)

Not Attending (1)

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

AWS Expands Well-Architected Framework with Responsible AI and Updated ML and Generative AI Lenses

At AWS re:Invent 2025, AWS expanded its Well-Architected Framework with a new Responsible AI Lens and updated Machine Learning and Generative AI Lenses. The updates provide guidance on governance, bias mitigation, scalable ML workflows, and trustworthy AI system design across the full AI lifecycle.

By Leela Kumili

oRPC Releases Version 1.0 with OpenAPI Support and End to End Type Safety

Introducing oRPC 1.0, a cutting-edge TypeScript library for building typesafe APIs, offering a stable, production-ready solution with full OpenAPI integration. Key features include enterprise-grade type safety, complex type support, and seamless integration with popular frameworks. With superior performance and comprehensive migration guides, oRPC emerges as a choice for modern API development.

By Daniel Curtis

QCon AI New York 2025: AI Platform Scaling at LinkedIn

At QCon AI NY 2025, LinkedIn's Prince Valluri and Karthik Ramgopal unveiled an internal platform for AI agents, prioritizing execution over intelligence. By using structured specifications within a robust orchestration layer, they enhance agent observability and interoperability while ensuring human accountability.

By Andrew Hoblitzell

Pinterest Engineering Reduces Android CI Build Times by 36% with Runtime-Aware Sharding

Pinterest published a technical case study detailing how its engineering team cut Android end-to-end (E2E) continuous integration (CI) build times by more than 36 percent by adopting a runtime-aware test-sharding strategy and building an internal testing platform.

By Craig Risi

Presentation: Lessons Learned From Shipping AI-Powered Healthcare Products

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement input/output guardrails for regulated industries and shares a framework for robust evaluations using human and LLM-based ratings. From prompt engineering to RAG and user feedback loops, she shares a data-driven roadmap for building reliable AI care agents at scale.

By Clara Matos

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service