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Kubernetes

Production-grade container orchestration.

What is Kubernetes?

The de-facto orchestrator for production workloads. Kubernetes runs your Docker containers across a cluster of machines and handles scheduling, scaling, networking, secrets, and self-healing. In the bootcamp Module 6 covers Pods, Deployments, Services, HPA, and rolling updates — the moves you actually need to ship an agent.

Key Features

  • Declarative manifests — describe state, K8s reconciles
  • Horizontal Pod Autoscaler — auto-scale on CPU, memory, custom metrics
  • Rolling updates with health probes — zero-downtime deploys
  • Services + Ingress for stable network endpoints
  • Secrets and ConfigMaps for runtime config
  • Managed distributions: EKS, GKE, AKS

FAQ

Do I need Kubernetes for an AI agent? +

Not for a hobby project. You need it once you have multiple services, want zero-downtime deploys, need autoscaling, or want to be cloud-portable. The bootcamp's Capstone 2 ships on K8s because that's how production AI is operated at scale.

EKS, GKE, or AKS? +

EKS for the deepest ecosystem (most customers + integrations). GKE for the cleanest Kubernetes UX (Google built K8s). AKS for tight Azure / OpenAI integration. The bootcamp covers all three so you can ship to whichever your employer uses.

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