Daily Reading List – May 25, 2023 (#097)

Spent half of today flying home from Miami to San Diego after last night’s flight got delayed twice. It was nice to get a decent night’s sleep though! And I was able to read a few more things today. Glance through the items below.

[article] When Great Minds Don’t Think Alike. Do you have different types of thinkers in your org? Do they have a voice? Good post on how to recognize and leverage our differences.

[blog] 3 new ways generative AI can help you search. What happens when you mash up generative AI results with “standard” search results? It’s a better experience, as I’ve been using internally for a few weeks. Now, more folks can try it out.

[blog] Dancing with the cloud. Michele makes the point that doing “best in class” across clouds expands your failure domain.

[blog] Introducing a new era of AI-powered ads with Google. This should result in more engaging ads, which is what we all want!

[blog] A Hidden Serverless Peril. Serverless makes it easy to deploy apps quickly. But we can also take shortcuts, and Corey recommends we’re all more diligent about deployment pipelines.

[blog] Generative AI – Getting Started with PaLM 2. I liked this walkthrough of using our latest generative AI models, which are cheaper to try than alternatives.

[blog] Four steps to managing your Cloud Logging costs on a budget. It’s not too hard to blow your budget on logs/metrics. It’s useful to have a lot of telemetry data, but this post helps you make good choices to reduce cost.

[blog] Pacer: Pinterest’s New Generation of Asynchronous Computing Platform. Here’s a look at Pinterest’s system for running background jobs and batch workloads.

[blog] Google Cloud Pub/Sub + AsyncAPI. If you’ve used Swagger for REST APIs, you might want to look at Async API as well. Here, Mete shows how to use it to describe an endpoint in our messaging engine.

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