Michael Levin's Blog – January 2016 Archive (4)

Open Source Bridge CFP (Portland <3)

Open Source Bridge is a conference in Portland, Oregon. It's in June and that's a great time to be in Portland. This year, OSCON is going to be in Austin. OSB's call for papers is open now. There are lots of reasons to pick Open Source Bridge as a conference destination this year. Check out the …

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Added by Michael Levin on January 26, 2016 at 9:48am — No Comments

.Net Opensourced?

The Microsoft people have open sourced .Net! Read about it here: http://radar.oreilly.com/2015/06/net-open-source.html



Have you tried it? I can't wait! The architecture is simple and hasn't changed enough to mess you up if it's been a while since you used it.



I want to hear all about your Open Source .Net adventures. Yes, there's a .Net group here on Codetown. Just take a look around...



Happy… Continue

Added by Michael Levin on January 24, 2016 at 9:48am — No Comments

Comparing JavaScript Frameworks

Here's a great article by Uri comparing Ember, Angular and Backbone:

https://www.airpair.com/js/javascript-framework-comparison

Have you got a case study or experience to add?

Added by Michael Levin on January 11, 2016 at 5:30am — No Comments

2 FREE EBOOKS! JAVA 8 AND FUNCTIONAL PROGRAMMING!

Introducing Java 8

by Raoul-Gabriel Urma

Offers a practical tutorial to some of the core Java 8 features and gets you programming quickly with Java 8.http://www.oreilly.com/programming/free/introducing-java-8.csp



Object Oriented vs Functional Programming

by Richard Warburton

Explains the similarities and differences…

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Added by Michael Levin on January 7, 2016 at 1:53pm — 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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