Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/navan-observability/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill navan-observability. Copyright stays with the author (MIT).

Navan Observability

Overview

Navan exposes no built-in API metrics dashboard — monitoring is your responsibility. This skill implements structured logging, latency tracking, error classification, and alerting for Navan REST API integrations. Since Navan uses OAuth 2.0 with token expiration, observability must also cover the authentication lifecycle. Patterns are provided for Datadog, CloudWatch, and Prometheus/Grafana.

Prerequisites

• Running Navan API integration with OAuth 2.0 credentials
• Monitoring platform — Datadog, AWS CloudWatch, or Prometheus/Grafana
• Node.js 18+ or equivalent runtime for the instrumentation middleware
• API base URL: https://api.navan.com/v1

Instructions

Step 1 — Instrument API Calls with Structured Logging

Wrap every Navan API call with timing, status, and correlation tracking:

import { randomUUID } from 'crypto';

interface NavanApiLog {
  event: 'navan.api.request';
  correlation_id: string;
  method: string;
  endpoint: string;
  status: number;
  duration_ms: number;
  error_type?: 'auth' | 'rate_limit' | 'server' | 'client' | 'network';
  timestamp: string;
}

async function navanRequest(
  method: string,
  endpoint: string,
  token: string,
  body?: object
): Promise<Response> {
  const correlationId = randomUUID();
  const start = performance.now();

  try {
    const response = await fetch(`https://api.navan.com/v1/${endpoint}`, {
      method,
      headers: {
        'Authorization': `Bearer ${token}`,
        'Content-Type': 'application/json',
        'X-Correlation-ID': correlationId,
      },
      body: body ? JSON.stringify(body) : undefined,
    });

    const log: NavanApiLog = {
      event: 'navan.api.request',
      correlation_id: correlationId,
      method,
      endpoint,
      status: response.status,
      duration_ms: Math.round(performance.now() - start),
      timestamp: new Date().toISOString(),
    };

    if (response.status === 401) log.error_type = 'auth';
    else if (response.status === 429) log.error_type = 'rate_limit';
    else if (response.status >= 500) log.error_type = 'server';
    else if (response.status >= 400) log.error_type = 'client';

    console.log(JSON.stringify(log));
    return response;
  } catch (err) {
    console.log(JSON.stringify({
      event: 'navan.api.request',
      correlation_id: correlationId,
      method,
      endpoint,
      status: 0,
      duration_ms: Math.round(performance.now() - start),
      error_type: 'network',
      error_message: (err as Error).message,
      timestamp: new Date().toISOString(),
    }));
    throw err;
  }
}

Step 2 — Track OAuth Token Lifecycle

async function refreshToken(clientId: string, clientSecret: string): Promise<string> {
  const start = performance.now();
  const response = await fetch('https://api.navan.com/ta-auth/oauth/token', {
    method: 'POST',
    headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
    body: new URLSearchParams({
      grant_type: 'client_credentials',
      client_id: clientId,
      client_secret: clientSecret,
    }),
  });

  console.log(JSON.stringify({
    event: 'navan.auth.refresh',
    status: response.status,
    duration_ms: Math.round(performance.now() - start),
    success: response.status === 200,
    timestamp: new Date().toISOString(),
  }));

  if (!response.ok) throw new Error(`Auth failed: HTTP ${response.status}`);
  const data = await response.json();
  return data.access_token;
}

Step 3 — Define Alert Rules

Datadog monitor configuration:

# datadog-monitors/navan-alerts.yaml
monitors:
  - name: "Navan API Auth Failures"
    type: metric alert
    query: >
      sum(last_5m):sum:navan.api.errors{error_type:auth}.as_count() > 3
    message: |
      Navan OAuth token may be expired or credentials rotated.
      Check: Admin > API Settings for credential status.
      Runbook: https://wiki.internal/navan-auth-rotation
    priority: P2

  - name: "Navan API Rate Limiting"
    type: metric alert
    query: >
      sum(last_15m):sum:navan.api.errors{error_type:rate_limit}.as_count() > 10
    message: |
      Navan API returning 429 rate limit responses.
      Action: Reduce sync frequency or implement backoff.
    priority: P3

  - name: "Navan API Latency Degradation"
    type: metric alert
    query: >
      avg(last_10m):p95:navan.api.duration_ms{*} > 5000
    message: |
      Navan API p95 latency exceeds 5 seconds.
      Impact: Expense sync and booking operations are slow.
    priority: P3

  - name: "Navan API Server Errors"
    type: metric alert
    query: >
      sum(last_5m):sum:navan.api.errors{error_type:server}.as_count() > 5
    message: |
      Navan API returning 5xx server errors.
      This is likely a Navan-side issue — check status page.
    priority: P2

Step 4 — Build the Dashboard

Key metrics to display:

Prometheus queries:

# Request rate per minute
rate(navan_api_requests_total[5m]) * 60

# p95 latency
histogram_quantile(0.95, rate(navan_api_duration_seconds_bucket[5m]))

# Error rate percentage
sum(rate(navan_api_errors_total[5m])) / sum(rate(navan_api_requests_total[5m])) * 100

# Auth failure spike detection
increase(navan_api_errors_total{error_type="auth"}[5m]) > 0

Output

A fully instrumented Navan API integration with:

• Structured JSON logs with correlation IDs for request tracing
• Real-time dashboards showing latency, throughput, and error rates
• Automated alerts differentiating auth failures, rate limits, and server errors
• Token lifecycle visibility tracking refresh success and timing

Error Handling

Examples

CloudWatch metric push from a Lambda integration:

# Push custom metric after each Navan API call
aws cloudwatch put-metric-data \
  --namespace "Navan/API" \
  --metric-name "RequestLatency" \
  --value 342 \
  --unit Milliseconds \
  --dimensions Endpoint=bookings,Status=200

Resources

• Navan Help Center — API documentation
• Datadog Custom Metrics — Sending custom metrics
• Prometheus Client Libraries — Instrumentation SDKs
• AWS CloudWatch Custom Metrics

Next Steps

• Add navan-incident-runbook for structured incident response procedures
• Add navan-rate-limits to understand Navan's specific throttling behavior
• See navan-performance-tuning to optimize the API calls being monitored