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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
Netflix Migrates to Amazon Aurora: 75% Performance Boost and 28% Cost Reduction
Netflix consolidated its relational databases onto Amazon Aurora, cutting costs by 28% and boosting performance by up to 75%. The move from self-managed PostgreSQL reduced operational toil, improving latency for critical apps. This mirrors migrations by Samsung and Panasonic, though benchmarks suggest alternatives like Timescale may suit specific workloads better.
By Mark SilvesterTornadoVM 2.0 Brings Automatic GPU Acceleration and LLM support to Java
The TornadoVM project recently reached version 2.0, a major milestone for the open-source project that aims to provide a heterogeneous hardware runtime for Java. The project automatically accelerates Java programs on multi-core CPUs, GPUs, and FPGAs. This release is likely to be of particular interest to teams developing LLM solutions on the JVM.
By Ben EvansTransformers v5 Introduces a More Modular and Interoperable Core
Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs.
By Robert KrzaczyńskiMeta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization
Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.
By Sergio De SimoneLyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach
Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies.
By Eran Stiller
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