A Pattern Language

A Pattern Language 

Watch this first. https://youtube.com/shorts/6UY4Egd0taE?feature=share
This is my favorite book.

Views: 31

Comment

You need to be a member of Codetown to add comments!

Join Codetown

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

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.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

People, Planet, Cloud and AI: Key Takeaways from QCon London

This year’s QCon London brought a wealth of talks directly or indirectly related to software architecture, ranging from the rise of AI to more established areas like anything cloud-related to the usual classics like architecture quality traits . The conference also featured many talks about sociotechnical aspects of software architecture and engineering and broadly considered sustainability.

By Rafal Gancarz

QCon London: Curating a Developer Experience

In a talk at QCon London 2024 titled "Curating the Developer Experience," Andy Burgin discussed embracing Developer Experience (DevEx) as an operational philosophy at the betting company Flutter. Recognising the potential of DevEx to enhance productivity and foster collaboration and empathy between teams, Burgin explained how Flutter implemented and evolved their Developer Experience.

By Matt Saunders

Challenges and Solutions for Building Machine Learning Systems

According to Camilla Montonen, the challenges of building machine learning systems are mostly creating and maintaining the model. MLOps platforms and solutions contain components needed to build machine systems. MLOps is not about the tools; it is a culture and a set of practices. Montonen suggests that we should bridge the divide between practices of data science and machine learning engineering.

By Ben Linders

Article: Unraveling the Enigma: Debunking Myths Surrounding Lambda Cold Starts

This insightful InfoQ article dispels the common myths surrounding Lambda Cold Starts, a widely discussed topic in the serverless computing community. As serverless architectures continue to gain popularity, misconceptions about Lambda Cold Starts have proliferated, often leading to confusion and misguided optimization strategies.

By Mohit Palriwal

Presentation: Modern Compute Stack for Scaling Large AI/ML/LLM Workloads

Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized?

By Jules Damji

© 2024   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service