Codetown
Codetown ::: a software developer's community
April 2015 Blog Posts (2)
JavaOne
Folks,
Perhaps this is old news for you, but JavaOne San Francisco registration is live. Various saving options are available leading up to the conference, and to take advantage of the current US$600 in savings registration needs to be completed by May 31st, 2015 (11:59pm PT).
I encourage you to read through the registration options by visiting the JavaOne registration site:…
Added by Michael Levin on April 24, 2015 at 11:00am — No Comments
An Inside Look at the Components of a Recommendation Engine
Recommendation engines help narrow your choices to those that best meet your particular needs. In this post, we’re going to take a closer look at how all the different components of a recommendation engine work together. We’re going to use collaborative filtering on movie ratings data to recommend movies. The key components are a collaborative filtering algorithm in Apache Mahout to build and train a machine learning model,…
ContinueAdded by Carol McDonald on April 13, 2015 at 9:14am — 1 Comment
Featured Blog Posts
Latest Blog Posts
- New Java features
- Free Eclipse book, recently published
- What is vibe coding?
- You can now download the source code that sparked the AI boom
- 50% Keyboard Guide: Tiny Typists' Delight
- Software language criteria
- We have some exciting news to share with you. Otavio will be joining us to discuss the latest version of Camel in an exclusive presentation. Presentation Details: Speaker: Otavio Rodolfo Piske Topic:…
Most Popular Blog Posts
Monthly Archives
2025
2024
- June (1)
2023
2022
2021
2020
2019
- December (1)
- November (1)
- October (1)
- September (1)
- August (2)
- July (1)
- June (4)
- May (1)
- March (2)
- February (1)
- January (2)
2018
2017
2016
- December (18)
- November (10)
- September (3)
- August (1)
- July (3)
- June (7)
- May (6)
- April (5)
- March (2)
- February (2)
- January (4)
2015
- December (4)
- November (2)
- October (2)
- August (1)
- July (2)
- June (1)
- April (2)
- March (6)
- February (1)
- January (6)
2014
2013
2012
- December (5)
- October (3)
- September (4)
- August (1)
- July (4)
- June (4)
- May (1)
- April (3)
- March (4)
- February (7)
- January (3)
2011
- December (1)
- November (7)
- October (6)
- September (7)
- August (3)
- July (9)
- June (5)
- May (7)
- April (2)
- March (2)
- February (3)
- January (4)
2010
- December (6)
- November (3)
- October (2)
- August (6)
- July (1)
- May (4)
- April (3)
- March (11)
- February (5)
- January (13)
2009
- December (10)
- November (4)
- October (7)
- September (4)
- August (5)
- July (2)
- June (3)
- May (9)
- April (2)
- March (8)
- February (3)
- January (1)
2008
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
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
© 2026 Created by Michael Levin.
Powered by
