palantir-observability

# Palantir Observability ## Overview Set up comprehensive observability for Foundry integrations: structured logging with request IDs, Prometheus metrics for API latency/errors, health check endpoints, and alert rules. ## Prerequisites - Working Foundry integration - Prometheus + Grafana (or equivalent monitoring stack) - Familiarity with `palantir-prod-checklist` ## Instructions ### Step 1: Structured Logging ```python import logging, json, time, uuid class FoundryLogger: def __init__(self): self.logger = logging.getLogger("foundry") handler = logging.StreamHandler() handler.setFormatter(logging.Formatter("%(message)s")) self.logger.addHandler(handler) self.logger.setLevel(logging.INFO) def log_api_call(self, method: str, endpoint: str, status: int, duration_ms: float): self.logger.info(json.dumps({ "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), "request_id": str(uuid.uuid4())[:8], "service": "foundry", "method": method, "endpoint": endpoint, "status": status, "duration_ms": round(duration_ms, 2), "level": "error" if status >= 400 else "info", })) ``` ### Step 2: Prometheus Metrics ```python from prometheus_client import Counter, Histogram, Gauge foundry_requests = Counter( "foundry_api_requests_total", "Total Foundry API requests", ["method", "endpoint", "status"], ) foundry_late...