Daily Wrap Up – March 29, 2023 (#056)

Famed psychologist Daniel Kahneman once said “Nothing in life is as important as you think it is, while you are thinking about it.” There’s always new tech, new trends, and a feeling of FOMO. Deep breath. You’re doing fine. Stay aware, but don’t get too hyped up with all the things around you. Keep learning by reading through today’s links below.

[blog] Run AlloyDB anywhere – in your data center, your laptop, or in any cloud. I genuinely enjoy that we at Google Cloud do some unexpected things. We’re taking a premium cloud database service and making it available as “anywhere” software. There’s also a good “how to get started” post you should check out.

[blog] The Misuse of User Stories. Are you relying on user stories to plan and deliver products? This post advises against using them the wrong way.

[article] Cloud Management Issues Are Coming to a Head. Folks are having challenges with running all their environments. That’s not too surprising to me. I wonder how folks who have purposely minimized their options and focused on a rapid transition to cloud architectures are doing? Better, I assume.

[article] Open source Kubeflow 1.7 set to ‘transform’ MLops. I haven’t kept a super-close eye on this project, but it’s good to see momentum here. If you’re doing notebook management, model training, model serving and ALSO using Kubernetes, you might like this project.

[article] Survey on Supply Chain Practices Finds Perceived Usefulness of Practice Correlates with Adoption. While teams are following good practices around centralized build services, there’s less adoption of practices like generating provenances.

[article] A Framework for Picking the Right Generative AI Project. There’s some useful thinking in this article that you might find helpful as you consider how to introduce LLMs and AI to your organization.

[article] Simplify Day 2 Operations on GCP — Active Assist. Plenty of folks don’t want to create their own AI stuff. They just want the things they use to be smarter. Take advantage of what’s already built into the platforms and clouds that you use today.

[blog] SimulatedRides: How Lyft uses load testing to ensure reliable service during peak events. Do you load test in production? Are you load testing at all right now? The Lyft Engineering team shares their approach and what they’ve learned from it.

[blog] Rolling in the deep. The days of “plan once a year” in technology seem to be coming to a close. Things change too quickly. The McDonalds engineering team talks about rolling-planning with specific rhythms for different purposes.

[blog] Jump start your future career with Google Cloud certifications. People seem to either love or loath certifications. I got MCSD certified from Microsoft years ago, and it was a good one to test myself on a topic. I didn’t see it as a job finding tool. But however you view certifications, you might want to take a look at this post about starting your cloud career by taking a cert exam.


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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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