Real-time Prometheus telemetry, 4-layer AI latency waterfall, and clinical workflow SLA auditing
Hospital SLA target: < 1,500ms (Discharge round clearance)
Worst-case cold LLM network roundtrip remains under threshold
401 auth violations: 1.0% | 422 FHIR errors: 0.3%
Morning discharge window (10:00 AM – 01:00 PM) capacity ready
When a clinician clicks "Analyze Patient", execution cascades through 4 separate computational engines. Total: 1347ms
fastapi_requests_duration_seconds{handler="/api/predict"}
Clinical Task: JSON payload parsing, Pydantic type safety, ICD-9/10 clinical taxonomy validation, and HIPAA token inspection.
Telemetry Alert Hook: Malformed payload rejection (HTTP 422) or network socket starvation during morning discharge rush.
ml_inference_duration_seconds{model="xgboost_rag"}
Clinical Task: 145-dimensional tabular preprocessing, gradient boosted trees inference, and local Shapley game-theoretic risk drivers.
Telemetry Alert Hook: CPU thread contention on multi-core host if concurrent inferences exceed thread pool capacity.
qdrant_search_duration_seconds{collection="clinical_cases"}
Clinical Task: Cosine distance indexing over clinical discharge summaries to retrieve top-k clinical twin cohorts.
Telemetry Alert Hook: Disk I/O latency or memory exhaustion if vector index exceeds RAM cache ceiling.
llm_generation_duration_seconds{provider="gemini-flash"}
Clinical Task: Prescriptive care protocol generation, medication reconciliation, and clinician-facing discharge summary drafting.
Telemetry Alert Hook: Google API rate limit throttling (HTTP 429), cloud edge latency, or token generation length.
If decision support takes >1.5s per patient during morning ward rounds (30 patients in 90 minutes), doctors abandon the tool.
Monitoring HTTP error distributions flags unauthorized access attempts and corrupted EHR pipeline records before prediction failure.
Hospital ward traffic is not uniform. Admissions and discharge waves follow distinct clinical work shift cycles.