Daily Reading List – July 27, 2023 (#131)

Wrapping up an excellent work-week in New York City, and taking tomorrow off to be a tourist. I’ll be back here on Monday with fresh links, and enjoy this batch in the meantime!

[article] New Research Reveals 5 Secrets That Will Make You Persuasive. Persuasive people are more successful, in my experience. This post highlights a few language tricks to help you steer people in the right direction.

[blog] Why application integration is the connective tissue of any modern enterprise. Many of you reading this know that application integration is important. But, it’s still a useful reminder for all of us.

[blog] All you need to know about timeouts. Why should you set service timeouts, and what’s the right value? The tech team at retailer Zalando digs in via this post.

[blog] Machine Learning Communities: Q2 ‘23 highlights and achievements. The Google developer community does remarkable work, and their output in Q2 of 2023 is worthy of your attention. You’ll find video links, GitHub repos, and written content with creative and informative AI/ML perspectives.

[blog] Always be prepared. Brief, but useful perspective from the McDonalds team that explains their disaster recovery practice.

[blog] Navigating Google Cloud: a decision tree for data & analytics workloads. The breadth of cloud services is fantastic. It’s also overwhelming at times. I like guides that make it easier to make choices, and I really like the prospect of AI services helping me decide.

[blog] Is full stack product management a good idea? I want to see a blog post that outlines all the tech roles, and what “full stack” looks like for each. What’s a full stack architect? Full stack business analyst? Full stack project manager? Here, a look at full stack PMs.

[blog] Kubeflow joins the CNCF family. If you’re looking to do ML processing on Kubernetes, you might be considering Kubeflow. It offers a solid end to end stack, and now is more broadly supported in the Cloud Native Computing Foundation ecosystem.

[blog] Announcing OverflowAI. I’ve seen some vigorous debate on what generative AI means to Q&A sites and those creating source material for these big AI models. StackOverflow is working to reinvent itself a bit.

[blog] Developers are bad at estimating in at least three ways. This is true. Don’t feel bad; most every human is bad at estimating effort, yet also overwhelming confident they’re right.

[blog] TensorFlow on GKE Autopilot with GPU acceleration. Can you get GPUs when your app needs them, without having to plan for it during Kubernetes cluster creation? Yes, with Autopilot, we provision and scale clusters on demand with you worrying about it. Good demo here.

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