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Michael Levin's Blog – January 2011 Archive (3)

Exclusive Java Programmer Certification Offer: 48 Hours Only

This just in (via Nichole Scott of Oracle - thanks, Nichole!) Oracle University has announced some VERY good discounts on a new Java Programmer Certification Preparation Live Virtual Class and certification exam voucher today.

We want to make sure all JUG members who are interested in pursuing the Java Programmer… Continue

Added by Michael Levin on January 25, 2011 at 8:50pm — No Comments

OSCON CFP

For thirteen years the O'Reilly Open Source Convention has been bringing together people from across the open source universe to learn, collaborate, and inspire each other. OSCON provides a central place to…

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Added by Michael Levin on January 14, 2011 at 12:44pm — No Comments

Cartographer in a new Avatar! , now supports Google Maps 3 & Rails 3

-----Original Message-----

From: bangalorerug@googlegroups.com [mailto:bangalorerug@googlegroups.com]

On Behalf Of Abhishek Parolkar

Sent: Monday, January 10, 2011 1:12 PM

To: bangalorerug@googlegroups.com

Subject: [Bangalore RUG] Cartographer in a new Avatar! , now supports Google

Maps 3 & Rails 3

Hello All,

Cartographer is a Google Maps wrapper that was originally written

in 2005 when Rails tagged 0.1. For many years people used it to … Continue

Added by Michael Levin on January 10, 2011 at 8:00am — No Comments

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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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