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Cloud API Gateway Patterns Cheat Sheet

Cloud API Gateway Patterns Cheat Sheet

Back to Cloud Computing
Updated 2026-05-25
Next Topic: Cloud Architecture Cheat Sheet

An API Gateway serves as the centralized entry point between client applications and backend microservices, handling routing, security, transformation, and management at scale. In modern cloud-native architectures, gateways decouple clients from distributed services β€” enabling independent evolution of microservices while maintaining consistent external contracts. The gateway pattern consolidates cross-cutting concerns like authentication, rate limiting, caching, and observability into a single layer rather than duplicating this logic across every service. In 2026, gateways are also expanding into AI/LLM traffic management, where token economics, semantic caching, and content guardrails demand purpose-built patterns beyond traditional request-response handling β€” making gateway architecture decisions more consequential than ever.

What This Cheat Sheet Covers

This topic spans 19 focused tables and 149 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Core Routing PatternsTable 2: Authentication and Authorization MechanismsTable 3: Rate Limiting and Throttling StrategiesTable 4: Request and Response TransformationTable 5: API Versioning ApproachesTable 6: Caching StrategiesTable 7: Authentication Token ManagementTable 8: Resilience and Fault Tolerance PatternsTable 9: Request Aggregation and CompositionTable 10: Security PatternsTable 11: Monitoring and ObservabilityTable 12: Protocol Support and IntegrationTable 13: Deployment and Traffic ManagementTable 14: Developer Experience FeaturesTable 15: Extensibility and CustomizationTable 16: Service Discovery and Load BalancingTable 17: Compression and Content OptimizationTable 18: API Gateway Platforms ComparisonTable 19: AI/LLM Gateway Patterns

Table 1: Core Routing Patterns

Routing is the gateway's primary function: matching incoming requests to the right backend by inspecting paths, headers, methods, or weights. Getting routing right β€” especially choosing between path-based, header-based, and Kubernetes-native HTTPRoute approaches β€” determines how cleanly your microservices can evolve independently while sharing a single external entry point.

PatternExampleDescription
Path-based routing
/api/v1/users β†’ User Service
/api/v1/orders β†’ Order Service
β€’ Routes requests to different backends based on URL path prefixes
β€’ the simplest and most common routing strategy, enabling service isolation under a single domain
Host-based routing
api.example.com β†’ Public API
internal.example.com β†’ Internal API
β€’ Routes based on HTTP Host header
β€’ allows different APIs or versions to share infrastructure while appearing as distinct services
Weight-based routing (canary)
90% β†’ v1 backend
10% β†’ v2 backend
β€’ Distributes traffic proportionally between backend versions
β€’ enables gradual rollouts and canary testing with minimal blast radius
Header-based routing
X-API-Version: 2 β†’ v2 backend
User-Agent: mobile β†’ Mobile Service
β€’ Routes traffic based on HTTP header values
β€’ enables A/B testing, version targeting, and client-type-specific backends

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