Basic Microservices Architecture
Simple microservices setup with API gateway, service mesh, and database per service pattern.
Small to medium applications transitioning from monolith
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Simple microservices setup with API gateway, service mesh, and database per service pattern.
Small to medium applications transitioning from monolith
Advanced microservices with event sourcing, CQRS, and message queues for async communication.
High-throughput systems requiring eventual consistency
Container orchestration with K8s, ingress controllers, and service discovery.
Cloud-native applications with auto-scaling needs
Classic 3-tier architecture with VPC, load balancers, EC2/ECS, and RDS.
Traditional web applications on AWS
Global deployment with traffic routing, data replication, and disaster recovery.
Global applications requiring high availability
Event-driven serverless with API Gateway, Lambda, DynamoDB, and S3.
Cost-optimized applications with variable traffic
API gateway pattern with authentication, rate limiting, and backend services.
Public APIs with multiple consumers
Federated GraphQL with Apollo, schema stitching, and microservices integration.
Complex data requirements across multiple services
Module federation with independent deployment and shared dependencies.
Large teams working on different features independently
Static site generation with headless CMS, CDN, and serverless functions.
Content-heavy sites requiring fast performance
Horizontal scaling with shard key distribution and shard routing logic.
Large-scale applications with massive data volumes
Multiple database types for different data models (SQL, NoSQL, cache, search).
Systems with diverse data storage requirements
Automated build, test, and deployment pipeline with quality gates.
Teams practicing continuous delivery
Infrastructure as code with automated sync, rollback, and drift detection.
Kubernetes deployments with declarative configs
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