palantir-observability

name	palantir-observability
description	Set up observability for Palantir Foundry integrations with metrics, logging, and alerts. Use when implementing monitoring for Foundry API calls, setting up dashboards, or configuring alerting for Foundry integration health. Trigger with phrases like "palantir monitoring", "foundry metrics", "palantir observability", "monitor foundry", "foundry alerts".
allowed-tools	Read, Write, Edit
version	1.5.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","palantir","foundry","observability","monitoring"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

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

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  ,
        }))