AI Kubernetes Diagram Maker — EKS, AKS & GKE Architecture Tool

A Kubernetes diagram (K8s diagram) is a visual representation of a Kubernetes cluster's architecture, showing how components like pods, nodes, services, and ingress controllers interact. Diagrams typically illustrate the master/control plane (API server, etcd, scheduler, controller manager), worker nodes with running pods, networking (service discovery, DNS, network policies), and external ingress routing. Kubernetes diagrams are essential for documentation, architecture reviews, multi-cloud planning, and onboarding new team members to DevOps infrastructure.

With Cloudairy, describe your Kubernetes cluster in plain English—for example, 'Build an EKS cluster with 3 worker nodes, 2 microservices (api and web), Nginx ingress, and RDS backend'—and the AI generates a complete architecture diagram with proper Kubernetes icons, connections, and labels. You can then refine the diagram, add more services, configure ingress rules, or export to Visio/draw.io. The AI approach eliminates the need to manually place 30–50 shapes and connectors, reducing design time from 60+ minutes to under 3 minutes.

Yes. Cloudairy includes pre-built templates and AI understanding of AWS EKS (Elastic Kubernetes Service), Azure AKS (Azure Kubernetes Service), and Google GKE (Google Kubernetes Engine) architectures. Each cloud provider has distinct networking, storage, and ingress patterns—Cloudairy's templates and AI prompt recognition handle these differences. For example, EKS uses VPC networking and AWS Load Balancer Controller; AKS uses Azure networking and ingress-nginx; GKE uses GCP VPC and Google Cloud Load Balancing.

No. Unlike tools like Hava that require live cluster API access, Cloudairy does NOT require a cluster connection. You can design and visualize Kubernetes architectures directly in Cloudairy without touching your running infrastructure—ideal for planning before implementation, pre-deployment reviews, and multi-cloud strategy documentation. If you have a live cluster, you can still use Cloudairy to document its architecture through manual design or AI prompt; no API integration is needed.

Yes. Cloudairy supports one-click export to PNG, SVG, PDF, Visio (.vsdx), PowerPoint (.pptx), and draw.io formats. This flexibility allows you to embed diagrams in architecture documents, compliance presentations, design systems, cloud migration plans, and technical RFCs. Exported files are fully editable in their native applications for further refinement.

Yes. Cloudairy offers a completely free tier with unlimited Kubernetes diagram creation, export, and storage. No signup is required to start creating diagrams; you can save work by creating a free account. The free tier includes all core features: AI generation, Kubernetes templates, multi-format export, real-time collaboration comments, and access to the official Kubernetes icon library. Premium tiers add enterprise features like advanced analytics and priority support.

Cloudairy's three key differentiators: (1) AI Prompt-to-Diagram—describe your K8s architecture in English and AI generates the diagram instantly (Lucidchart has no K8s AI; Hava requires cluster connectivity); (2) Official Kubernetes Icon Set—native pods, nodes, services, ingress, CRDs, Helm, Istio icons from the Kubernetes project itself, not generic cloud icons; (3) No Cluster Connection—design and document K8s architectures without touching your live infrastructure, unlike Hava's cluster-dependent approach.

Yes. Cloudairy supports real-time collaboration—multiple team members can edit the same Kubernetes diagram simultaneously with live cursor positions, typed-text synchronization, and comment threads. You can assign permissions (edit/view/comment), mention teammates, and track version history. This is ideal for distributed design reviews, architecture workshops, and collaborative capacity planning across DevOps and platform engineering teams.

A service mesh diagram shows how Istio or similar service mesh technology (Linkerd, Consul) manages microservice communication in Kubernetes. It includes data plane (Envoy sidecars injected into each pod), control plane (Istiod managing VirtualService, DestinationRule, ServiceEntry resources), observability components (Prometheus, Grafana, Kiali for distributed tracing), and traffic management (circuit breaking, retry policies, load balancing). Cloudairy includes pre-built Istio templates for visualizing service mesh architectures.

Yes. Cloudairy templates include multi-cluster architectures (federation, global load balancing, disaster recovery topologies) and GitOps workflows with ArgoCD (Git repository → ArgoCD controller → multiple target clusters). These are critical for production deployments, high-availability infrastructure, and continuous delivery pipelines. Cloudairy's AI and templates simplify designing these complex architectures.