Technology · Engineering · Perspective
Thoughts from a career in technology — from infrastructure, cloud, AI, and the realities of production to the bigger questions emerging as technology changes how we work, think, and live.
Social media showed us that algorithms can influence what we see. Generative AI can influence how information is explained to us. What happens when an entire generation grows up treating AI not as a source of information, but as the source of truth?
How Kubernetes, cloud economics, disaster recovery, data sovereignty, and managed platforms turn modern infrastructure into a business strategy conversation.
Practical lessons from running workflow orchestration and distributed compute in Kubernetes.
A generalized design pattern for validating workload capacity before admitting tenant workloads into a Kubernetes cluster.
A practical explanation of why Kubernetes webhooks fail when certificates, service DNS names, or CA bundles are wrong.
A practical, sanitized checklist for debugging GPU nodes, device plugins, drivers, runtime configuration, and validator pods.
A sanitized field note on planning, draining, upgrading, and validating Linux nodes in an on-prem Kubernetes environment.
A storage-era lesson that still applies to Kubernetes, cloud platforms, and modern infrastructure design.