Jetlag is over, and today was a productive workday. I’ve got family coming into tomorrow, and taking some time off, but I’ll likely keep the reading list rolling!
[blog] Made by Google 2024. Lots of fun hardware announcements today. The AI features of the Pixel are super cool, and the new camera features are rad.
[article] Inside the First Year as a CEO. Whether you’re becoming a CEO or supporting a new one, it’s useful to recognize the playbook. First up, building the right leadership team. Then, looking at strategy and culture. Good article!
[paper] Microservice Vulnerability Analysis: A Literature Review with Empirical Insights. Here’s a new paper that explores the wide attack dimensions of a microservices architecture. It looks at infrastructure (like gateways and runtimes) along with authentication and data access.
[blog] Create a powerful Kubernetes security duo with Custom Org Policy and Policy Controller. Make it easier to do the right thing. Shift down. Here’s an example of establishing platform controls that make a Kubernetes cluster safe by default.
[blog] Generating, transforming, and patching Kubernetes configuration with Kustomize. Speaking of Kubernetes, I liked this post from Brian that explores the need for a Kubernetes configuration tool. He then explains how kustomize came to be.
[paper] Discovering Datasets on the Web Scale: Challenges and Recommendations for Google Dataset Search. Here’s a new paper from Google Research that looks at a search engine for datasets.
[article] How developers want to use AI tools. This article looks at research from Microsoft about how their devs look at AI tooling. It shows that they, like most, want help with routine tasks, not super advanced activities.
[blog] How to Build Low-Latency Global Applications with Google Apigee and YugabyteDB. There are benefits and tradeoffs to a running an app that serves a global audience. This post looks at an architecture that delivers performance and availability across multiple regions.
[article] 5 Lessons For Building a Platform as a Product. Colin offers some real-world advice for platform builders and those trying to get the most out of their stack.
[blog] DeepEval and Vertex AI. Can you unit test the output of an LLM? Yes you can, as Mete shows off here.
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