Michael Levin's Blog – March 2015 Archive (5)

I Write Like - Analyzes Writing Style

I Write Like is a website that analyzes your writing and suggests a writer your style is similar to.

The result is an answer like this:…

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Added by Michael Levin on March 16, 2015 at 9:00am — No Comments

UBOS ::: a new Linux distribution you'll love

Our friends at LinuxJournal ( hi Doc) posted this fascinating article about Ubos I'm sure many of you will enjoy:



http://www.linuxjournal.com/content/youre-boss-ubos

"UBOS focuses on making the administration of home servers much simpler", says Johannes Ernst.

From Doc's article:

"Says Johannes:

My goal is to make the administration…

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Added by Michael Levin on March 15, 2015 at 8:55am — No Comments

Open Source Bridge Conference Call For Papers

Open Source Bridge is a software conference in Portland that equips you for the whole year with news and information to help you be the best developer you can be...and collaborate. Here's some info, and tomorrow night I'll raffle off a free…

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Added by Michael Levin on March 10, 2015 at 9:30am — No Comments

GatorJUG Tomorrow at First Magnitude Brewing

I ran into Steve from First Magnitude at Ward's yesterday. Sure am looking forward to tomorrow's GatorJUG. Last time, a couple of developers from Opie Software just happened to be there. I'll have a few interesting new books to talk about, one in particular is called "If Hemingway Wrote JavaScript". Adam…

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Added by Michael Levin on March 10, 2015 at 9:00am — No Comments

Starting and Running Your Own Company, by Matt Raible

My good bud Matt just published an article about his business and I think it's worth sharing: http://raibledesigns.com/rd/entry/how_to_setup_your_own1

Matt's sees consistent success for a few reasons. One: he is passionate about the technology. You can't go far in a business with…

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Added by Michael Levin on March 3, 2015 at 11:00am — No Comments

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Notes

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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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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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