Daily Reading List – February 29, 2024 (#269)

Tomorrow we get a Google-wide day off to recharge. I appreciate things like that. So, this will be the last reading list of the week.

[news] Stack Overflow and Google Cloud Announce Strategic Partnership to Bring Generative AI to Millions of Developers. I like this. Great StackOverflow content gets surfaced to devs on Google Cloud. And StackOverflow gets a great hosting partner, and access to the best AI tech. More from TechCrunch, and a piece from StackOverflow on how they partner.

[article] Improving Developer Experience Drives Profitability. You can ignore (important) outcomes like happier developers and high-quality software if you want. Even if you invest in dev experience for financial motives, the effort will be appreciated.

[article] Product-Focused Reliability for SRE. Outstanding piece from the Google SRE team that proposes a product-focused model for defining SLOs and service overall.

[blog] The industries leading on gen AI aren’t the ones you’d think. Would you have guessed that insurance, construction, and luxury goods companies would be the early adopters? Not me. Cool to see.

[article] Sigstore: Secure and Scalable Infrastructure for Signing and Verifying Software. You’d be right if you thought this was an in-the-weeds topic, but it does matter a ton. Skim through this to get smarter on this project.

[blog] Build AI-Powered Angular Apps with Google Gemini. Solid writeup here that gives plenty of examples of incorporating generative AI into web apps.

[blog] Strangulating the monolith to a pluggable and scalable architecture. The McDonalds team shares how they’re adopting microservices.

[blog] BigQuery and AlloyDB hit major milestone with AI-enabled updates. Big stuff here, including new support for models in BigQuery, vector search in our cloud databases, LangChain integrations, and more. Also see the BigQuery post and databases post.

[article] Kubernetes clusters are typically using just 13% of CPU: CIOs could save a small fortune. Cloud-based elastic clusters can definitely help here. I suspect that many folks provision Kubernetes like they (over)provisioned classic hardware.

[article] The Key to a Fulfilling Career? Variety. I get bored quickly at jobs, so this definitely resonated with me!

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Author: Richard Seroter

Richard Seroter is currently the Chief Evangelist at Google Cloud and leads the Developer Relations program. 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 Chief Evangelist at Google Cloud, Richard leads the team of developer advocates, developer engineers, outbound product managers, and technical writers who ensure that people find, use, and enjoy Google Cloud. 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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