Codetown
Codetown ::: a software developer's community
All group Events (4)
December 15Wednesday
-
GatorLUG - Linux Users Group
December 15, 2010 from 6pm to 9pm – The Lab Greetings All, You are invited to join us at the next GatorLUG meeting in beautiful (but way too cold ) Gainesville, Florida. We'll end a long year with a relaxed social meeting at The Laboratory.… Organized by Clint Collins | Type: user, group, meeting
February 23Thursday
-
Running Java, Play! and Scala Apps on the Cloud
February 23, 2012 from 6pm to 8:30pm – Orlando James Ward from Heroku will be presenting at the Orlando Java User Group. Session Description: Heroku is a Polyglot Cloud Application Platform that makes it easy to deploy Java, Play! and Scala… Organized by James Ward | Type: orlando, java, user, group
May 14Wednesday
-
GatorJUG - Hello Java 8 with Adam Davis
May 14, 2014 from 6pm to 9pm – Santa Fe College Calling all Java lovers! Our May, 2014 meeting is coming up. Please RSVP, spread the word and invite a friend. Join us and keep your skills sharp. Network and find new projects and people for your ex… Organized by Dan Lackey | Type: java, user, group, meeting, gatorjug, codetown
August 22Wednesday
-
Introduction to TornadoFX Workshop
August 22, 2018 from 6pm to 7pm – Chicago 1871 In a world where everyone and their mother uses web development, a quiet grassroots movement is bringing back native development. Whether you're brand-new to coding, or you just have framework fatigu… Organized by Chicago GDG | Type: google, developer, group, meetup
| S | M | T | W | T | F | S |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | 31 |
| S | M | T | W | T | F | S |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| 15 | 16 | 17 | 18 | 19 | 20 | 21 |
| 22 | 23 | 24 | 25 | 26 | 27 | 28 |
| S | M | T | W | T | F | S |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| 15 | 16 | 17 | 18 | 19 | 20 | 21 |
| 22 | 23 | 24 | 25 | 26 | 27 | 28 |
| 29 | 30 | 31 | ||||
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
