Daily Wrap Up – March 24, 2023 (#053)

On this Friday, I read a whole stash of interesting things. There thought-provoking content on “build versus buy”, analyzing logs in security scenarios, and helping robots navigate your living room.

[blog] Hello Dolly: Democratizing the magic of ChatGPT with open models. It’ll be interesting to watch and see how many folks attempt to take base LLMs and customize for their needs. Databricks is trying to make that easier with an open source offering.

[blog] Visual language maps for robot navigation. If reading this changes what you plan to do at work on Monday, I want to be friends with you. For most of us, it’s just neat research to read about.

[blog] Buy vs Build… Over Time. Good post that emphasizes opportunity cost and the context of the current situation when deciding when to build or buy a solution.

[article] Three multicloud myths that need to be crushed. Echoes what I’ve been saying for a while. If/when you do multicloud, do it for the right reasons and the right way. I talked about this topic on a Twitter Space yesterday.

[blog] Nobody cares, train harder. Edgy post, but it resonates with me. Everyone’s got challenges and rarely is everything handed to you. If you want more, push through.

[article] What’s the Difference between Flutter and React Native? Virtually every year, I threaten to learn a frontend web framework or mobile framework, and every year I don’t. But, I still like to pay attention to what’s out there. This is a good breakdown of two popular options.

[article] Talking all things NBA with Google’s Bard AI chatbot. If you pay for access to The Athletic, read this surprisingly good back and forth with our AI chat experience.

[blog] Improving Istio Propagation Delay. This is a good example of (a) why good infrastructure monitoring matters and (b) the value of open source software that you can explore and change if needed. The Airbnb engineering team walks through their experiences here.

[blog] Gleaning security insights from audit logs with Log Analytics. Logs are a valuable data source, especially when considering security scenarios. This post looks at writing SQL queries to find anomalies and threats.


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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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