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Cloud Architecture Patterns

Vendor-neutral theory for designing Kubernetes on any cloud provider.

This section covers the architectural decisions that apply across every cloud: managed vs self-managed trade-offs, multi-cluster strategies, cloud IAM integration patterns, and VPC network topologies. These concepts transfer across all three hyperscalers — and they land best once you have already worked through at least one provider’s essentials and managed-Kubernetes deep dive (EKS, GKE, or AKS), so you can recognize each pattern in concrete form before generalizing it across clouds.


#ModuleComplexityTimeWhat You’ll Learn
1Managed vs Self-Managed Kubernetes[MEDIUM]2hTrade-offs, decision frameworks, TCO analysis
2Multi-Cluster and Multi-Region Architectures[COMPLEX]3hTopology patterns, failover, service mesh, federation
3Cloud IAM Integration for Kubernetes[MEDIUM]2.5hPod-level identity, OIDC federation, least privilege
4Cloud-Native Networking and VPC TopologiesAdvanced3.5hCIDR planning, CNI models, IP exhaustion, peering

Total time: ~11 hours


  • Cloud Native 101 — containers, Docker basics
  • Basic Kubernetes knowledge (Pods, Deployments, Services)
  • At least one provider path first — a Provider Essentials section plus its managed-Kubernetes deep dive (AWS Essentials -> EKS, GCP Essentials -> GKE, or Azure Essentials -> AKS). Architecture & Enterprise reasons about cross-provider tradeoffs and assumes you already understand one provider’s primitives.

Continue along the Architecture & Enterprise route:

  • Advanced Operations — multi-account strategies, transit hubs, cross-cluster networking, DR, and active-active at enterprise scale

(The provider deep dives — EKS, GKE, AKS — come before this section, not after: they produce the provider primitives Architecture & Enterprise assumes.)