GKE - Google Kubernetes Engine

GKE Design Considerations

Cluster Multi Tenancy

In this guide, you’ll learn how to host multiple tenants—users, teams, or workloads—on a single Google Kubernetes Engine (GKE) cluster. GKE Cluster Multi-Tenancy centralizes control-plane operations, security policies, and auditing while allowing each tenant to operate in isolation.

Why Choose a Multitenant Cluster?

  • Cost Efficiency
    Consolidate control-plane and compute resources to lower infrastructure costs.
  • Agility & Flexibility
    Onboard or offboard tenants on demand without spinning up new clusters.
  • Simplified Management
    Monitor and operate all tenants from one GKE console, streamlining DevOps workflows.

Warning

Before implementing multitenancy, evaluate your organization’s security posture and compliance requirements. Proper isolation is critical to safeguard tenant workloads and sensitive data.

Isolation Layers in Kubernetes

Consider these five layers to enforce tenant separation:

Isolation LayerPurposeKey Tools & Features
Cluster LevelSingle control plane for all tenantsGKE control-plane, central logging, cross-cluster policies
Node LevelDedicated or shared node poolsNode taints & tolerations, custom node pools
Namespace LevelLogical resource partitioningNamespaces, ResourceQuotas, LimitRanges, NetworkPolicies, RBAC
Pod LevelPer-pod security boundariesPod Security Admission, SecurityContexts, NetworkPolicies
Container LevelHardened container runtimeService accounts, vulnerability scanning, read-only root FS

The image is a diagram illustrating GKE Cluster Multi-Tenancy, showing tenants and namespaces connected to a control plane, emphasizing cost savings and security.

Namespaces for Tenant Isolation

Namespaces are your primary sandbox for tenant workloads:

  • Apply ResourceQuota and LimitRange to cap CPU, memory, and object counts.
  • Enforce NetworkPolicy rules for traffic segmentation.
  • Use RoleBinding and ClusterRoleBinding for fine-grained RBAC.

Note

Combine namespaces with dedicated node pools and strict Pod Security Admission profiles for stronger isolation.

Enterprise Best Practices

For large-scale, production-grade multitenancy, follow the enterprise best practices:

  • Secure cluster provisioning with private clusters and VPC-native networking
  • Policy enforcement via Anthos Config Management and Gatekeeper
  • Centralized monitoring and audit logging
  • Automated tenant onboarding and offboarding workflows

The image is a slide titled "Best Practices for GKE Cluster Multi-Tenancy," featuring a highlighted link to best practices for enterprise multi-tenancy on the Google Cloud website.

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