Today was indeed quieter than yesterday, and that was delightful. I got a chance to sketch out a “regular” blog post that I’ll finish tonight and publish tomorrow. Meanwhile, check out some fun things I read today.
[blog] The Impact of Self-Reflection on Productivity. Interesting findings, but not shocking in hindsight. When we stop and reflect, it improves our perspective and planning.
[blog] Enhancing Cybersecurity with Security Command Center’s Attack Path Simulations and Attack Exposure Scoring. This is a very cool functionality in Google Cloud where we create a virtual model of your environment and run simulations to find threats. More in the docs.
[docs] Cloud CISO Perspectives: Why ISACs are valuable security partners. Here’s another batch of interesting security-related links to sift through.
[site] State of AI. Check out these survey results to get a sense for AI use cases, opinions about corporate motivations and appetite for customizations.
[blog] Angular.dev and Version 17—I Told You the Renaissance was Here. Is Angular back? Maybe it never left. This offers a good look at what’s new and exciting in this web framework.
[paper] A Survey on Language Models for Code. A bit dense, but this paper can give you a sense of the landscape and what to look for with AI-assistance. As we’ve built Duet AI in Google Cloud, I’ve learned that the model matters, but so do the filters and overall UX wrapped around it.
[blog] Opinions on Software Delivery & Engineering Metrics. Some thoughts here about continuous delivery and tracking delivery lead time.
[youtube-video] Spring + Kotlin + Testcontainers. I’ve been liking some of the videos I’ve seen lately that walk us through each step to complete a fairly short example. This is a good one.
[blog] Creating a SaaS Platform on Google Kubernetes Engine. How are you hosting experiences for distinct tenants? Maybe you’re doing a SaaS-style offering and using Kubernetes as the compute layer. This post walks through architectural options and considerations.
[blog] Open sourcing Project Guideline: A platform for computer vision accessibility technology. I hope we see some inspired uses of this open sourced project that helps folks with vision impairment walk, jog, and run with the help of on-device ML.
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