Pattern Library
Enterprise AI Architecture Patterns
117 patterns across 13 architecture domains. Filter by category, maturity, or regulatory framework.
8 patterns(1 filter active)
Observability & MonitoringProven
EAAPL-OBS001 · AI Telemetry Architecture
AI systems present unique observability challenges that traditional APM tooling does not…
Observability & MonitoringProven
EAAPL-OBS002 · Prompt Monitoring
Prompts sent to large language models in production are the primary control…
Observability & MonitoringProven
EAAPL-OBS003 · Hallucination Detection
Large language models fabricate plausible-sounding content with confidence.
Observability & MonitoringProven
EAAPL-OBS004 · AI Incident Management
AI system failures are qualitatively different from traditional software failures.
Observability & MonitoringProven
EAAPL-OBS005 · Model Drift Detection
AI models degrade silently.
Observability & MonitoringProven
EAAPL-OBS006 · AI Cost Observability
AI inference costs have a fundamentally different cost structure than traditional compute:…
Observability & MonitoringProven
EAAPL-OBS007 · Distributed AI Tracing
AI pipelines are not single API calls.
Observability & MonitoringProven
EAAPL-OBS008 · AI Performance Benchmarking
AI system quality degrades silently between benchmarking events.