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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
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Japan's largest taxi operator, Nihon Kotsu, announced that its systems were compromised in a cyberattack, forcing the company to shut down part of its infrastructure. [...]
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Kubernetes has quietly become the default platform for AI and machine learning. Whether you run notebook servers for data scientists, schedule distributed training jobs, tune hyperparameters, or orchestrate multi-step ML pipelines, those workloads increasingly land on a Kubernetes cluster. Kubeflow is one of the most popular ways to assemble that stack, and it does so the Kubernetes-native way: every capability is exposed as a Custom Resource Definition (CRD). That design is a gift to cluster op
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