GCP GKE Microservices with Service Mesh

GCPDeploymentadvanced
GCP GKE Microservices with Service Mesh — GCP deployment diagram

About This Architecture

Production-grade GKE microservices architecture with Istio service mesh, featuring three independent services (API, Auth, Data) deployed across dedicated nodes with auto-scaling and persistent storage. Traffic flows through Cloud Load Balancing and Cloud Armor WAF to an Ingress Controller, which routes requests to Istio-managed pods with inter-service communication via service mesh. The design integrates Cloud SQL PostgreSQL with read replicas, Cloud Memorystore Redis caching, persistent volumes backed by pd-ssd, and comprehensive observability through Cloud Monitoring and Logging. This architecture demonstrates best practices for multi-tier microservices including network policies, RBAC via ServiceAccounts, secrets management, and container image governance through Container Registry. Fork and customize this diagram to match your GCP project topology, adjust replica counts and resource classes, or extend with additional services and traffic policies.

People also ask

How do I design a production microservices architecture on GCP GKE with Istio service mesh and managed databases?

This diagram shows a three-service microservices deployment on GKE with Istio managing inter-pod communication, Cloud Load Balancing and Cloud Armor protecting ingress traffic, and Cloud SQL PostgreSQL with read replicas handling data persistence. Each service (API, Auth, Data) runs in dedicated nodes with HPA-driven scaling, Redis caching via Cloud Memorystore, and observability through Cloud Mon

GCPKubernetesMicroservicesIstioService MeshGKE
Domain:
Kubernetes
Audience:
GCP platform engineers and Kubernetes architects designing production microservices on GKE with service mesh

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About This Architecture

Production-grade GKE microservices architecture with Istio service mesh, featuring three independent services (API, Auth, Data) deployed across dedicated nodes with auto-scaling and persistent storage. Traffic flows through Cloud Load Balancing and Cloud Armor WAF to an Ingress Controller, which routes requests to Istio-managed pods with inter-service communication via service mesh. The design integrates Cloud SQL PostgreSQL with read replicas, Cloud Memorystore Redis caching, persistent volumes backed by pd-ssd, and comprehensive observability through Cloud Monitoring and Logging. This architecture demonstrates best practices for multi-tier microservices including network policies, RBAC via ServiceAccounts, secrets management, and container image governance through Container Registry. Fork and customize this diagram to match your GCP project topology, adjust replica counts and resource classes, or extend with additional services and traffic policies.

People also ask

How do I design a production microservices architecture on GCP GKE with Istio service mesh and managed databases?

This diagram shows a three-service microservices deployment on GKE with Istio managing inter-pod communication, Cloud Load Balancing and Cloud Armor protecting ingress traffic, and Cloud SQL PostgreSQL with read replicas handling data persistence. Each service (API, Auth, Data) runs in dedicated nodes with HPA-driven scaling, Redis caching via Cloud Memorystore, and observability through Cloud Mon

GCP GKE Microservices with Service Mesh

GCPadvancedKubernetesMicroservicesIstioService MeshGKE
Domain: KubernetesAudience: GCP platform engineers and Kubernetes architects designing production microservices on GKE with service mesh
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Created by

June 8, 2026

Updated

June 8, 2026 at 8:20 AM

Type

deployment

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