Master complex API patterns, system integration strategies, and advanced artificial intelligence service architectures for enterprise-scale deployments.
🏁 CASCADE: Try providers in priority order until success
└── Best for: Predictable provider reliability
🚀 HEDGE: Query multiple providers simultaneously
└── Best for: Latency-critical applications
⚡ CIRCUIT BREAKER: Temporarily bypass failed providers
└── Best for: Preventing cascading failures
💡 Pro Tip: Combine patterns for maximum resilience—cascade for normal operations, hedge for critical requests.
⚠️ Complex Challenge: AI operations are inherently stateful, creating unique distributed system challenges.
🗺️ Conversation context (chatbots, assistants)
🔑 Session information (user preferences)
⏳ Partial results (long-running computations)
🧠 Model state (fine-tuning, adaptation)
🎯 Solution: Distributed state stores with consistent access across service instances.
🔗 Goal: Route related requests to the same service instance for state efficiency.
| Strategy | Mechanism | Best For |
|---|---|---|
| 🕸️ Sticky Sessions | Consistent hashing on session ID | Conversational AI |
| ⚖️ Stateful Load Balancing | State-aware routing decisions | Multi-step workflows |
| 🚚 State Migration | Transfer state during scaling | Dynamic environments |
⚡ Trade-off: State locality efficiency vs. system flexibility
📋 Critical: Maintain consistency across distributed caches storing AI outputs and intermediate results.