Just a handful of links today, but check out some high-quality write-ups on data strategy, product development, and API security.
[blog] How to Treat Data as a Product. My former colleague Lak offers up a smart take on applying product management principles to your data.
[blog] The Complex Data Models Behind Shopify’s Tax Insights Feature. Here’s a very good post about how Shopify analyzed and solved a tricky problem for their customers.
[blog] Harden your Kubernetes clusters and monitor workload compliance at scale with new PCI DSS policy bundle. I like when my platforms enforce good practices and don’t make me do all the work. Here’s a good example.
[article] Identity Distribution Is Essential for Modern API Security. This looks at what’s needed for a more comprehensive security than just securing your perimeter and trusting everything inside.
[article] Understanding and Debugging Deep Learning Models: Exploring AI Interpretability Methods. We’re all getting excited about AI/ML. It’s also important to realize that none of these LLMs are flawless right now, and it’s going to be a while before they can be fully trusted. Reading articles like this remind me of the complexity of troubleshooting big models.
[article] 3 reasons not to repatriate cloud-based apps and data sets. Before you move apps out of the cloud—I don’t hear this come up from those I talk to—think about whether that’s a good long-term idea or not.
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