Daily Wrap Up – March 21, 2023 (#050)

I’m on the way to the Google Cloud mothership in Sunnyvale (San Jose area) but still read a bunch of terrific things today. It includes new stuff to play with (Bard, code templates) and new ideas to chew on (product vision, testing, pragmatic pessimism).

[blog] Try Bard and share your feedback. US and UK folks can jump into our generative AI experience. Have fun!

[blog] Product Vision is Science Fiction. Excellent post that explains what a “product vision” really is, and how to generate one. And, how not to fear that you’ll be wrong. You will be.

[blog] Choosing Sequential Testing Framework — Comparisons and Discussions. Check out this new post from the Spotify Engineering team that helps you decide how to run good online user experiments.

[blog] Performance Optimization with BigQuery. Lots of very specific advice here for optimizing your data warehouse (BigQuery, in this case). It’s applicable to many products.

[article] Developers, unite! Join the fight for code quality. Is the pursuit of “quality” the most exciting thing a developer can do? I dunno. But this article lays out why it matters, and how to build momentum for a focus on quality at your company.

[blog] Extending Cloud Code with custom templates. My colleague created some very useful templates for languages like .NET and Java that make it simpler to build event-driven serverless apps. If you’re using Visual Studio Code, you can easily try it out.

[article] Adobe is bringing generative AI features to Photoshop, After Effects and Premiere Pro. Figuring out what’s real and AI-generated is going to be quite tricky in the months and years ahead.

[news] Awareness of Software Supply Chain Security Issues Improves. If you’ve been reading these updates, you’ve seen a lot of mentions of software supply chain security. That topic is now top of mind for a lot of technology leaders, and that’s a good thing.

[blog] Lessons from a Pessimist: Make Your Pessimism Productive. I’m an annoying optimist, but hopefully a pragmatic person as well. This post looks at useful pessimism.

[blog] Nvidia partners with Google Cloud to launch AI-focused hardware instances. For those building generative models, the cloud is going to be the place to do it. We announced some new instance types that will come to Vertex and GKE soon.

[blog] Your cloud, your way: Google Distributed Cloud Hosted is generally available. If you can use the public cloud, do it. Every “private cloud” is only a shadow of what’s possible in a hyperscale cloud. But sometimes your use case demands it, and this new offering might be the right fit for you.


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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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