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March 2014 Blog Posts (4)
Seven Versions of One Web Application
Free Webcast Tuesday, April 8, 2014
Join Yakov Fain in this fast-paced comparison of different ways of developing HTML5 Web applications.
We'll start with architecture and code review of a basic HTML/JavaScript version of a sample charity application, switch to its jQuery version, then show how to do it with Ext JS framework.
In the second part of the webcast, we'll move the app to mobile. First we'll implement the… Continue
Added by Michael Levin on March 29, 2014 at 4:08pm — No Comments
Java 8 Resources (thanks to Mattias Karlsson)
Guess you know about all the resources and video cast Oracle provided
at the Java 8 Launch site:
http://www.oracle.com/events/us/en/java8/index.html
On top of that we have released all Java 8 talks from Jfokus 2014
including the Keynote with Georges Saab and Mark Reinhold.
Except the talks from a number of Oracle speakers you can find these
and many more:
-Java 8 Language…
Added by Michael Levin on March 29, 2014 at 9:01am — No Comments
Stack Overflow, Communities and Intimidation
We envision Codetown to be a free flow of ideas and questions in addition to a networking tool we also post events on. Here's an interesting take on participation and intimidation on Stack Overflow. Ideas? Comments? …
Added by Michael Levin on March 8, 2014 at 11:32am — No Comments
OSCON is coming!
OSCON is the O'Reilly Open Source Conference. And, it's right around the corner! The call for papers just occurred. It is an annual event that occurs in Portland, OR and this year it's July…
ContinueAdded by Michael Levin on March 8, 2014 at 6:20am — 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.
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 VedagiriUber 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 KumiliBuilding 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 LindersGoogle 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 KrzaczyńskiPresentation: 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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