Kubernetes

All five engines say to manage the clusters as a fleet with automated lifecycle, pull-based GitOps and staged rollouts; they differ on how much to centralise. No engine contradicts the core approach.

Kubernetes coordinates containers on infrastructure, including cloud servers. Managed Kubernetes is one way to operate it, not the definition of every cloud deployment. Operational responsibility and availability depend on the service and configuration.

All five engines say you can learn Kubernetes fundamentals in 2 days (deploy, scale, expose and basically troubleshoot an app) but not master it or reach production readiness. They point to the official kubernetes.io tutorial (Perplexity, ChatGPT, Copilot, Google AI Mode) and local clusters like Minikube (ChatGPT, Gemini, Copilot, Google AI Mode) or Kind (Gemini, Copilot, Google AI Mode).

ChatGPT, Copilot, Gemini and Google AI Mode all describe cloud native as an approach built for the cloud and not just hosted in it, and none dissents. ChatGPT frames it by the CNCF principles, while the other three stress microservices, containers and Kubernetes.

All five engines (Perplexity, Gemini, ChatGPT, Copilot, Google AI Mode) define Kubernetes orchestration as the automated management of containerized applications across a cluster of machines. Kubernetes deploys, scales, networks and heals them so they match a declared desired state.