Free ebookArchitectureResilienceObservability
The architect's handbook for resilient AI systems
Architectural patterns for AI systems that survive real load: budgets, bulkheads, fallbacks, observability, and migration readiness. Grounded in the claude-code-staff-engineer and contextual-engineering-guide repos.
Inside the ebook
What you get
- Design an AI system with explicit latency, cost, and token budgets
- Apply bulkhead and circuit-breaker patterns to model and tool calls
- Wire fallback provider chains that survive a vendor outage
- Instrument the full stack with per-turn traces and per-tool metrics
- Plan model migrations that do not require a rewrite
Inside
- The four architectural budgets
- Bulkheads and circuit breakers
- Provider fallback chains
- Observability: traces, metrics, logs
- Prompt and context as infrastructure
- Model migration readiness
- Safety review checklist
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