Production Microservices on AWS EKS with Service

AWSMicroservicesadvanced
Production Microservices on AWS EKS with Service — AWS microservices diagram

About This Architecture

Production-grade microservices architecture on AWS EKS with Istio service mesh, featuring auth, order, payment, inventory, and notification services deployed across a managed Kubernetes cluster. Traffic flows through CloudFront CDN and API Gateway to an Application Load Balancer, which routes requests to EKS services instrumented with Envoy sidecars for observability and traffic management. Each microservice connects to purpose-built data stores—Aurora for transactional workloads, DynamoDB for flexible schemas, ElastiCache for caching, and MSK Kafka for event streaming—while Jenkins CI/CD pipelines automate container builds to ECR and deployments via Terraform. Prometheus, Grafana, Elasticsearch, and X-Ray provide comprehensive monitoring, logging, and distributed tracing across the entire stack, ensuring visibility and reliability at scale.

People also ask

How do you design a production microservices architecture on AWS EKS with service mesh, event streaming, and observability?

This diagram shows a complete production setup: five microservices (auth, order, payment, inventory, notification) run on EKS with Istio service mesh for traffic management and security. Services communicate via MSK Kafka topics, connect to Aurora, DynamoDB, and Redis based on workload needs, and are monitored through Prometheus, Grafana, Elasticsearch, and X-Ray. Jenkins automates the CI/CD pipel

AWS EKSKubernetesMicroservicesIstio Service MeshCI/CDObservability
Domain:
Kubernetes
Audience:
DevOps engineers and platform architects deploying production microservices on AWS EKS

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About This Architecture

Production-grade microservices architecture on AWS EKS with Istio service mesh, featuring auth, order, payment, inventory, and notification services deployed across a managed Kubernetes cluster. Traffic flows through CloudFront CDN and API Gateway to an Application Load Balancer, which routes requests to EKS services instrumented with Envoy sidecars for observability and traffic management. Each microservice connects to purpose-built data stores—Aurora for transactional workloads, DynamoDB for flexible schemas, ElastiCache for caching, and MSK Kafka for event streaming—while Jenkins CI/CD pipelines automate container builds to ECR and deployments via Terraform. Prometheus, Grafana, Elasticsearch, and X-Ray provide comprehensive monitoring, logging, and distributed tracing across the entire stack, ensuring visibility and reliability at scale.

People also ask

How do you design a production microservices architecture on AWS EKS with service mesh, event streaming, and observability?

This diagram shows a complete production setup: five microservices (auth, order, payment, inventory, notification) run on EKS with Istio service mesh for traffic management and security. Services communicate via MSK Kafka topics, connect to Aurora, DynamoDB, and Redis based on workload needs, and are monitored through Prometheus, Grafana, Elasticsearch, and X-Ray. Jenkins automates the CI/CD pipel

Production Microservices on AWS EKS with Service

AWSadvancedAWS EKSKubernetesIstio Service MeshCI/CDObservability
Domain: KubernetesAudience: DevOps engineers and platform architects deploying production microservices on AWS EKS
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Created by

May 7, 2026

Updated

May 7, 2026 at 4:10 AM

Type

microservices

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