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Containers and Kubernetes for Customer Deployments
A container makes your software run the same way on the customer's infrastructure as it did on yours, which is most of the value. Kubernetes adds scheduling, self-healing and rolling updates, and it adds an operational burden that only pays back at a scale many deployments never reach.
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System Design & Production EngineeringIt's Friday evening at a customer site and they want a hotfix shipped now. How do you do it safely, and when do you refuse?→MLOps & ML EngineeringWhat's the difference between shadow deployment and A/B testing a model?→MLOps & ML EngineeringWhen you say you 'push staging to production,' what does that actually mean for a model?→System Design & Production EngineeringHow do you version and roll out prompt changes like code, review, canary, rollback, audit?→System Design & Production EngineeringYour product deploys into dozens of customer environments. Design secrets management across all of them.→AI Security, Privacy & GovernanceThe customer says 'our data can't leave our environment.' Walk me through the deployment options and what each really buys.→
