Michael Levin's Blog – May 2009 Archive (6)

Open Source Bridge

I'm Attending Open Source Bridge - June 17–19, 2009 - Portland, OR



Open Source Bridge is a new conference for developers working with open source technologies. It will take place June 17-19 in Portland, OR, with five tracks connecting people across projects, languages, and backgrounds to explore how we do our work, and why we participate in open source. The conference structure is designed to provide developers with an opportunity to learn from people they might not connect with at… Continue

Added by Michael Levin on May 20, 2009 at 11:30am — No Comments

JSR Watch: Here’s to Progress

Here's an update from the Chair of the JCP and director of the JCP Program office: Patrick Curran



http://java.ulitzer.com/node/965152





JSR Watch: Here’s to Progress



And here’s to the next 10 years!

By Patrick Curran



May 15, 2009 03:00 PM EDT

Reads: 560



The end of the year is an opportunity to review the past year's activity, and to present this to our Executive Committee (EC)… Continue

Added by Michael Levin on May 19, 2009 at 8:30pm — No Comments

All About Scala



Thanks to Carol for pointing this… Continue

Added by Michael Levin on May 15, 2009 at 10:30am — No Comments

On breadth vs. depth of technical knowledge...

What language should you learn? How about operating systems? Wondering what framework to add to your bag of tricks? Check out Jeff Thalhammer's blog to read one man's view. What do you think?

Added by Michael Levin on May 14, 2009 at 1:30pm — No Comments

Grooveshark Internship

Grooveshark is arguably the coolest place to work in the Swamp.

Added by Michael Levin on May 8, 2009 at 12:00pm — No Comments

The Instructables



I was talking with my friend Daniel at the McRorie Community Garden in Gainesville yesterday. He said that gardening sensors were all the rage. Pointed to the… Continue

Added by Michael Levin on May 8, 2009 at 9:30am — No Comments

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Notes

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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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