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October 2011 Blog Posts (6)
Ensemble - now called Juju, Ubuntu's Cloud
Ensemble: service orchestration for the cloud (my work for Ubuntu Server) http://fewbar.com/2011/06/so-what-is-ensemble-anyway - via Jim Baker
Jim and I spent some time…
ContinueAdded by Michael Levin on October 30, 2011 at 5:30pm — 2 Comments
OrlandoJUG October Open Spaces Meeting Rocked!
We had a great time at the OrlandoJUG meeting tonight. It was an Open Spaces style meeting and a potluck dinner. We had some new faces and certainly covered interesting topics. Here are a few:
1. Cloud Computing
2. JavaOne 2011
3. Managing dev, test and production environments
4. OSGi - what it is and how…
ContinueAdded by Michael Levin on October 27, 2011 at 11:11pm — No Comments
It's all about Yandda! (an Android app)
Added by Bulama Yusuf on October 26, 2011 at 11:24am — No Comments
Good times at JCertif in the Congo
Let me indulge with this photo...it was such a great time at the first JCertif and you know, you have a chance coming up in just 11 months to be a part of it again! www.jcertif.com has all the details. Check out some of the African JUGs on Codetown while you're at it.… Continue
Added by Michael Levin on October 25, 2011 at 8:00pm — No Comments
Dennis Ritchie has Died
Added by Michael Levin on October 25, 2011 at 10:30am — No Comments
Take a peek under the covers of a website
Here's a website with open source code:
A cheap replacement for ching(6)
ching(6), the old amusement found in BSD 4.[234], has disappeared from the face of the net. I wanted it back. Fortunately finding the full text of the Wilhelm translation of the I Ching was easy. So was writing a program to read it.…
ContinueAdded by Michael Levin on October 9, 2011 at 2:00pm — 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
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 BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan WiggersGoogle Introduces TranslateGemma Open Models for Multilingual Translation
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.
By Daniel Dominguez
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