Eleven different meetings today with so much content switching that I’m experiencing whiplash. But they were all good sessions, and I’m excited about the things we’re up to. Somehow I also happened to read a lot of items today, so enjoy the list below.
[blog] My Current Approach To Software Delivery. Have you documented your philosophy around software delivery, or leadership overall? It’s actually something I’ve started, so this post resonated with me.
[blog] Firestore Multiple Databases is now generally available. We used to just let you provision a single Firestore (NoSQL) database per Google Cloud project. Now you can deploy many using the console, Terraform, and SDKs.
[article] Why developers should put the database first. Do you start with the database when building software? This article explores the centricity of data in modern apps, and a new abstraction that may help devs spend less time messing with their database of choice.
[article] Retrieval-augmented generation, step by step. This lengthy article explains what RAG is, some use cases, and then offers a tutorial.
[blog] Faster startup times for Kubernetes workloads with Kube Startup CPU Boost. This is terrific. Install this controller into your cluster to “boost” resource allocation for pods when they start up.
[article] Ephemeral Execution Is the Future of Computing, but What About the Data? This video plus transcript focuses on Tekton—it’s an open source engine for CI/CD—as the example of compute services that are short lived.
[blog] Improving Interoperability Between Rust and C++. We care about the health and growth of the Rust language, and it’s cool to see an investment here to make interop better.
[youtube-video] Top 3 Google Cloud tips for Firebase developers. Firebase is a top cloud for learners, and many folks add Google Cloud services to their architectures. This great video shows 3 popular scenarios.
[blog] The Great Migration, MySQL Edition. Flipkart uses a ton of MySQL. How did they move a giant fleet from one data center to another? Good description here.
[blog] Graph neural networks in TensorFlow. This looks like some cool work for building graph neural networks. And you can try it out yourself in Colab.
[lab] Create a Cloud Run service with a sidecar. Our code labs are an easy way to do step-by-step learning about cloud services. This one helps you build a sidecar that works with your serverless workload.
[article] Pivotal Founder Rob Mee’s New Startup Is Using AI To Drag Ancient Mainframes Into The Cloud. I think I count four different consultancies that spawned from Pivotal, and Rob’s is doing some creative work to make modernization a reality for companies stuck on mainframes.
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