Daily Wrap Up – January 9, 2023 (#005)

I read through some good foundational content today (e.g. distributed computing guidance, structuring your ML data) as well as some strategic items (e.g. EA principles, and how AI stands to disrupt today’s tech leaders). Dig in!

[article] Real Talk about Modern Cloud Native Applications. My colleague Eddie is starting a weekly newsletter focusing on the real attributes of cloud-native app development. It’ll be worth subscribing to.

[article] Using clusters for large-scale technical computing in the cloud. New architecture guidance from us that’ll be useful even if you’re not (yet) using Google Cloud.

[article] Data in 2023: Revenge of the SQL Nerds. Some good predictions around data management. There’s a lot happening in this space.

[article] Getting your data in shape for machine learning. As I learn more about machine learning this year, posts like this help me understand the basics.

[blog] EA Principles Series: Part 1. I’ve followed the Chick-fli-A tech team’s work for years, and I’m always impressed by their thoughtful approach. Read this post (and series) to learn about their architecture principles and how they apply them.

[blog] Beyond Git: The other version control systems developers use. Git is the dominant choice for source control, but there are other options. Read this to learn about them, and why git “won” the market.

[article] Why We Actually Need More Mindless Activities. As I’ve gotten older and (somewhat) wiser, I’ve learned to enjoy mindless activities more, and that constant focus isn’t a smart strategy.

[blog] AI and the Big Five. How today’s leading companies use AI effectively will likely be a deciding factor in their future relevance. I don’t know where it all goes, but it’ll be fun to watch.

[blog] The Problem With Dependency Injection Frameworks. This stings, as I like the Spring Framework, but I get James’ points and they’re well-reasoned.

[article] 2023 is all about analytics. Asay explains why it’s not about the data, but about analysis, and cloud is uniquely useful at helping you learn faster.

[article] PyTorch Poisoned in Software Supply Chain Attack. Software supply chain problems don’t just happen when you reference sketchy dependencies from weird internet sites. It can happen when you pull a. popular package from the official repos.

[youtube-video] Assured Workloads for EU Data Sovereignty. The commonly-accepted way for cloud providers to over sovereignty controls is to stand up some “GovCloud”-like infrastructure that usually has a subset of services and management options. Google Cloud does it differently, with a software-defined experience in our existing regions. This short video explains.


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Author: Richard Seroter

Richard Seroter is Director of Developer Relations and Outbound Product Management at Google Cloud. He’s also an instructor at Pluralsight, a frequent public speaker, the author of multiple books on software design and development, and a former InfoQ.com editor plus former 12-time Microsoft MVP for cloud. As Director of Developer Relations and Outbound Product Management, Richard leads an organization of Google Cloud developer advocates, engineers, platform builders, and outbound product managers that help customers find success in their cloud journey. Richard maintains a regularly updated blog on topics of architecture and solution design and can be found on Twitter as @rseroter.

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