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Microservices Architecture

Design patterns and best practices for building scalable microservices systems. Explore architectural patterns that enable independent development and deployment.

Microservices Architecture Patterns

Explore different architectural patterns for building scalable, resilient, and maintainable microservices systems. Each pattern includes detailed explanations, trade-offs analysis, and implementation guidance.

Found 3 architectures

API Gateway Pattern

Centralized entry point that handles cross-cutting concerns like authentication, rate limiting, and routing for microservices.

Medium Complexity
KongAWS API GatewayAzure API ManagementEnvoySpring Cloud Gateway
Latency:Low (milliseconds)
Throughput:High (thousands of requests/sec)
Scalability:Excellent
Cost:Medium

Key Trade-offs:

Single Point of Failure:Gateway failure affects all services
Centralized Control:Easier to manage security and policies
Performance Overhead:Additional latency for each request

Use Cases:

Multi-service applicationsMobile API backendsThird-party integrations+2 more
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API Gateway

Service Mesh with Istio

Infrastructure layer that handles service-to-service communication, security, and observability in microservices.

High Complexity
IstioEnvoy ProxyKubernetesPrometheusGrafana+1 more
Latency:Very Low (microseconds)
Throughput:Very High (millions of requests/sec)
Scalability:Excellent
Cost:High

Key Trade-offs:

Complexity:High operational complexity and learning curve
Observability:Excellent visibility into service communication
Performance:Minimal latency overhead with sidecar proxy

Use Cases:

Complex microservices architecturesMulti-cluster deploymentsAdvanced traffic management+2 more
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Service Mesh

Event-Driven Microservices

Architecture where services communicate through asynchronous events, enabling loose coupling and scalability.

High Complexity
Apache KafkaRabbitMQAWS SQSEventStoreApache Pulsar
Latency:Low (milliseconds to seconds)
Throughput:Very High (millions of events/sec)
Scalability:Excellent
Cost:Medium to High

Key Trade-offs:

Eventual Consistency:Data consistency challenges across services
Scalability:Excellent horizontal scalability
Complexity:Event ordering and replay complexity

Use Cases:

E-commerce order processingUser activity trackingReal-time analytics+2 more
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Event-Driven

More microservices patterns coming soon!

• CQRS Pattern• Saga Pattern• Circuit Breaker• Bulkhead Pattern