Event Details

OrlandoJUG

Time: June 24, 2010 from 6pm to 9pm
Location: DeVry University
Street: 4000 Millennia Blvd room 106 106 106
City/Town: Orlando
Website or Map: http://www.orl.devry.edu/camp…
Phone: Skype ::: mlevin77
Event Type: meeting
Organized By: Michael Levin
Latest Activity: Jun 25, 2010

Export to Outlook or iCal (.ics)

Event Description

From IDE to Data Center - What Every Developer Should Know About Deploying Distributed Systems to Production

Taking a distributed system from development into a working production environment is a challenge that many developers take for granted. This talk will explore these challenges, especially scenarios that are not typically seen in a development setting.

Comment Wall

Comment

RSVP for OrlandoJUG to add comments!

Join Codetown

Comment by Michael Levin on June 25, 2010 at 7:41am
Thanks, Patrick! I know the community appreciated your presentations. You're welcome back anytime. I'd love it if someone would write up a summary...
Comment by Patrick Peralta on June 24, 2010 at 10:37pm
Attached are slides to IDE to Data Centerf
Comment by Patrick Peralta on May 17, 2010 at 8:34pm
We will also be giving away a copy of the recently released Coherence Book!

Attending (12)

Might attend (2)

Not Attending (2)

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

Article: Beyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker

Docker Extensions boost developer speed but create a "visibility gap" by isolating telemetry. To meet enterprise needs, extensions must act as bridges to centralized platforms. This article details how to use OpenTelemetry, policy-as-code, and encryption to build secure pipelines. Learn to balance developer productivity with the governance required for scalable, compliant observability.

By Pragya Keshap

Airbnb Migrates High-Volume Metrics Pipeline to OpenTelemetry

Airbnb's observability engineering team has published details of a large-scale migration away from StatsD and a proprietary Veneur-based aggregation pipeline toward a modern, open-source metrics stack built on OpenTelemetry Protocol (OTLP), the OpenTelemetry Collector, and VictoriaMetrics' vmagent. The resulting system now ingests over 100 million samples per second in production.

By Claudio Masolo

Google Released Gemma 4 with a Focus On Local-First, On-Device AI Inference

With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to production.

By Sergio De Simone

Lyft Scales Global Localization Using AI and Human-in-the-Loop Review

Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.

By Leela Kumili

Presentation: Reimagining Platform Engagement with Graph Neural Networks

Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.

By Mariia Bulycheva

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service