Reading Notes #702

This week’s compilation explores a mix of critical topics ranging from integrating AI models with SQL Server to navigating the complexities of Azure container troubleshooting. I’ve selected these particular articles because they offer practical ways to streamline your workflow and better understand the latest shifts in cloud infrastructure and software development.

Databases

AI

Cloud

DevOps

Miscellaneous

Sharing my Reading Notes is a habit I started a long time ago, where I share a list of all the articles, blog posts, and books that catch my interest during the week. 

 ~frank

Reading Notes #701

Modern infrastructure and AI agent development move fast, requiring a sharp eye on both backend stability and frontend polish. This week’s curated notes highlight critical shifts in observability, security best practices for autonomous agents, and practical updates for .NET MAUI apps. Check out these essential reads to stay ahead of the curve.


AI

Programming

DevOps

  • Why Choose Pulumi Over Terraform? (Pablo Seibelt) - I have never tried Pulumi or terraform, but they look great, and after reading this post, I'm very interested in learning more about ballooning

Data

MS Build


~frank

Reading Notes #700

Seven hundred weeks.

When I started taking notes about the articles I was reading, I never imagined I would still be doing it 700 weeks later.


Back then, my notes lived on a USB key. I carried a small personal wiki with me and used it to save interesting articles, ideas, and discoveries. It was a simple way to build my own searchable knowledge base so I could find things again when I needed them.

In 2011, I started sharing those notes publicly on my blog, Franky's Notes. A few months later, I made another important change: I switched from writing in French to writing in English. At the time, I wasn't fluent, but I wanted to improve. "Notes de lecture" became "Reading Notes", and every week became an opportunity to learn something new while practicing a language that would eventually become a big part of my career.

Over the years, the format evolved. Articles were joined by podcasts, books, videos, and whatever else helped me learn and stay curious. Technology changes constantly, and one of the things I enjoy most about working in this industry is that there is always something new to discover.

What never changed was the habit itself.

Most mornings start the same way: a coffee, my e-reader, and a few articles. Throughout the week, I collect the things that made me think, taught me something, or simply felt worth sharing. Then, every Monday, I publish a new edition.

Seven hundred weeks later, these reading notes have become much more than a list of links. They are a record of what caught my attention, what I was learning, and how both technology and I have changed over the years.

If you've been reading along for a while, thank you. If you're new here, I hope you discover something interesting in the links below.

Suggestion of the week

AI

Programming

Miscellaneous

~frank