Michael Levin's Blog – November 2008 Archive (5)

Mule, Codetown, Success

Last night's Mule talk was great. Thanks, Zemian. And, thanks to Signature Consultants for providing pizza and drinks.



We'll rely on Codetown for posting events and RSVPs, so please keep an eye on it and RSVP for upcoming events.



There's a Notes section that has some hints about using Codetown. Please look around and see what is here. I think you'll like it a lot!



In January, we have Carol McDonald of Sun coming with a great talk. Details in the Events… Continue

Added by Michael Levin on November 21, 2008 at 10:06am — 1 Comment

FYI -- the final version of NetBeans 6.5 was released this morning

FYI... The NetBeans team has released the final version of NetBeans 6.5. this morning... lots of new features...

Introduction to NetBeans IDE 6.5

http://www.netbeans.org/kb/docs/ide/nb65-intro-screencast.html

In this screencast, Sridhar Reddy shows new Java developers NetBeans IDE 6.5 editor features and gives a short introduction on how to edit, compile… Continue

Added by Michael Levin on November 19, 2008 at 5:11pm — No Comments

Øredev features Josh Marinacci on JavaFX

Malmo, Sweden: Josh Marinacci will present JavaFX at Øredev Nov 17-21.

Added by Michael Levin on November 16, 2008 at 5:00pm — No Comments

LA JUG looking for presentations

The Los Angeles JUG is looking for presenters. They have a nice way of presenting their wish-list.

Added by Michael Levin on November 16, 2008 at 4:30pm — 1 Comment

nbPython a go!

News Flash: (from Alley Davis of www.cajunjug.org)



http://codesnakes.blogspot.com/2008/11/python-in-netbeans-is-go.html



Wednesday, November 12, 2008

Python in Netbeans is a go!!!!



After a 6 months of development. nbPython has been given the green light to be release as the official python build for Netbeans. The EA release will be… Continue

Added by Michael Levin on November 13, 2008 at 8:00am — No Comments

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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…
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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

Article: Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.

By Saranya Vedagiri

Uber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage

Uber engineers detailed how they evolved their storage platform from static rate limiting to a priority-aware load management system. The approach protects Docstore and Schemaless, Uber’s MySQL-based distributed databases, by colocating control with storage, prioritizing critical traffic, and dynamically shedding load under overload conditions.

By Leela Kumili

Building Software Organisations Where People Can Thrive

Continuous learning, adaptability, and strong support networks are the foundations for thriving teams, Matthew Card mentioned. Trust is built through consistent, fair leadership and addressing toxic behaviour, bias, and microaggressions early. By fostering growth, psychological safety, and accountability, people-first leadership drives resilience, collaboration, and performance.

By Ben Linders

Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.

By Robert Krzaczyński

Presentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned

Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.

By Moumita Bhattacharya

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