Fitness Platform - AWS Multi-AZ Microservices

AWSArchitectureadvanced
Fitness Platform - AWS Multi-AZ Microservices — AWS architecture diagram

About This Architecture

Multi-AZ microservices architecture for a fitness platform leveraging AWS services across two availability zones with containerized APIs, serverless functions, and managed databases. Traffic flows through Route 53 and CloudFront CDN to WAF-protected ALBs in public subnets, routing requests to ECS-based Auth, User, Workout, and Trainer services in private app subnets. Data layer spans RDS Aurora (relational), DynamoDB (workouts), Redshift (analytics), OpenSearch (vectors), and ElastiCache (caching), with EventBridge orchestrating asynchronous workflows including Lambda-based Analytics, AI Orchestrator, Notifications, and Payments. This architecture demonstrates high availability, fault isolation, and event-driven scalability essential for consumer fitness applications. Fork and customize this diagram on Diagrams.so to adapt service boundaries, add additional regions, or integrate your own LLM and payment providers. The dual-AZ design with read replicas and standby ALBs ensures zero-downtime deployments and automatic failover.

People also ask

How do I design a highly available multi-AZ microservices architecture on AWS for a fitness platform?

This diagram shows a production AWS architecture spanning two availability zones with ECS-based microservices (Auth, User, Workout, Trainer) in private subnets, Lambda functions for analytics and AI orchestration, and a hybrid data layer combining RDS Aurora, DynamoDB, Redshift, and OpenSearch. EventBridge coordinates asynchronous workflows, while Route 53, CloudFront, and WAF provide global distr

AWSmicroservicesmulti-AZECSevent-drivenhigh-availability
Domain:
Cloud Aws
Audience:
AWS solutions architects designing multi-AZ microservices for fitness platforms

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About This Architecture

Multi-AZ microservices architecture for a fitness platform leveraging AWS services across two availability zones with containerized APIs, serverless functions, and managed databases. Traffic flows through Route 53 and CloudFront CDN to WAF-protected ALBs in public subnets, routing requests to ECS-based Auth, User, Workout, and Trainer services in private app subnets. Data layer spans RDS Aurora (relational), DynamoDB (workouts), Redshift (analytics), OpenSearch (vectors), and ElastiCache (caching), with EventBridge orchestrating asynchronous workflows including Lambda-based Analytics, AI Orchestrator, Notifications, and Payments. This architecture demonstrates high availability, fault isolation, and event-driven scalability essential for consumer fitness applications. Fork and customize this diagram on Diagrams.so to adapt service boundaries, add additional regions, or integrate your own LLM and payment providers. The dual-AZ design with read replicas and standby ALBs ensures zero-downtime deployments and automatic failover.

People also ask

How do I design a highly available multi-AZ microservices architecture on AWS for a fitness platform?

This diagram shows a production AWS architecture spanning two availability zones with ECS-based microservices (Auth, User, Workout, Trainer) in private subnets, Lambda functions for analytics and AI orchestration, and a hybrid data layer combining RDS Aurora, DynamoDB, Redshift, and OpenSearch. EventBridge coordinates asynchronous workflows, while Route 53, CloudFront, and WAF provide global distr

Fitness Platform - AWS Multi-AZ Microservices

AWSadvancedmicroservicesmulti-AZECSevent-drivenhigh-availability
Domain: Cloud AwsAudience: AWS solutions architects designing multi-AZ microservices for fitness platforms
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Created by

April 27, 2026

Updated

April 27, 2026 at 6:08 AM

Type

architecture

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