navan-observability
Set up comprehensive observability for Navan integrations with metrics, traces, and alerts. Use when implementing monitoring for Navan operations, setting up dashboards, or configuring alerting for Navan integration health. Trigger with phrases like "navan monitoring", "navan metrics", "navan observability", "monitor navan", "navan alerts", "navan tracing".
Allowed Tools
Provided by Plugin
navan-pack
Claude Code skill pack for Navan (24 skills)
Installation
This skill is included in the navan-pack plugin:
/plugin install navan-pack@claude-code-plugins-plus
Click to copy
Instructions
Navan Observability
Overview
Set up comprehensive observability for Navan integrations.
Prerequisites
- Prometheus or compatible metrics backend
- OpenTelemetry SDK installed
- Grafana or similar dashboarding tool
- AlertManager configured
Metrics Collection
Key Metrics
| Metric | Type | Description |
|---|---|---|
navanrequeststotal |
Counter | Total API requests |
navanrequestduration_seconds |
Histogram | Request latency |
navanerrorstotal |
Counter | Error count by type |
navanratelimit_remaining |
Gauge | Rate limit headroom |
Prometheus Metrics
import { Registry, Counter, Histogram, Gauge } from 'prom-client';
const registry = new Registry();
const requestCounter = new Counter({
name: 'navan_requests_total',
help: 'Total Navan API requests',
labelNames: ['method', 'status'],
registers: [registry],
});
const requestDuration = new Histogram({
name: 'navan_request_duration_seconds',
help: 'Navan request duration',
labelNames: ['method'],
buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
registers: [registry],
});
const errorCounter = new Counter({
name: 'navan_errors_total',
help: 'Navan errors by type',
labelNames: ['error_type'],
registers: [registry],
});
Instrumented Client
async function instrumentedRequest<T>(
method: string,
operation: () => Promise<T>
): Promise<T> {
const timer = requestDuration.startTimer({ method });
try {
const result = await operation();
requestCounter.inc({ method, status: 'success' });
return result;
} catch (error: any) {
requestCounter.inc({ method, status: 'error' });
errorCounter.inc({ error_type: error.code || 'unknown' });
throw error;
} finally {
timer();
}
}
Distributed Tracing
OpenTelemetry Setup
import { trace, SpanStatusCode } from '@opentelemetry/api';
const tracer = trace.getTracer('navan-client');
async function tracedNavanCall<T>(
operationName: string,
operation: () => Promise<T>
): Promise<T> {
return tracer.startActiveSpan(`navan.${operationName}`, async (span) => {
try {
const result = await operation();
span.setStatus({ code: SpanStatusCode.OK });
return result;
} catch (error: any) {
span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
span.recordException(error);
throw error;
} finally {
span.end();
}
});
}
Logging Strategy
Structured Logging
import pino from 'pino';
const logger = pino({
name: 'navan',
level: process.env.LOG_LEVEL || 'info',
});
function logNavanOperation(
operation: string,
data: Record<string, any>,
duration: number
) {
logger.info({
service: 'navan',
operation,
duration_ms: duration,
...data,
});
}
Alert Configuration
Prometheus AlertManager Rules
# navan_alerts.yaml
groups:
- name: navan_alerts
rules:
- alert: NavanHighErrorRate
expr: |
rate(navan_errors_total[5m]) /
rate(navan_requests_total[5m]) > 0.05
for: 5m
labels:
severity: warning
annotations:
summary: "Navan error rate > 5%"
- alert: NavanHighLatency
expr: |
histogram_quantile(0.95,
rate(navan_request_duration_seconds_bucket[5m])
) > 2
for: 5m
labels:
severity: warning
annotations:
summary: "Navan P95 latency > 2s"
- alert: NavanDown
expr: up{job="navan"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Navan integration is down"
Dashboard
Grafana Panel Queries
{
"panels": [
{
"title": "Navan Request Rate",
"targets": [{
"expr": "rate(navan_requests_total[5m])"
}]
},
{
"title": "Navan Latency P50/P95/P99",
"targets": [{
"expr": "histogram_quantile(0.5, rate(navan_request_duration_seconds_bucket[5m]))"
}]
}
]
}
Instructions
Step 1: Set Up Metrics Collection
Implement Prometheus counters, histograms, and gauges for key operations.
Step 2: Add Distributed Tracing
Integrate OpenTelemetry for end-to-end request tracing.
Step 3: Configure Structured Logging
Set up JSON logging with consistent field names.
Step 4: Create Alert Rules
Define Prometheus alerting rules for error rates and latency.
Output
- Metrics collection enabled
- Distributed tracing configured
- Structured logging implemented
- Alert rules deployed
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Missing metrics | No instrumentation | Wrap client calls |
| Trace gaps | Missing propagation | Check context headers |
| Alert storms | Wrong thresholds | Tune alert rules |
| High cardinality | Too many labels | Reduce label values |
Examples
Quick Metrics Endpoint
app.get('/metrics', async (req, res) => {
res.set('Content-Type', registry.contentType);
res.send(await registry.metrics());
});
Resources
Next Steps
For incident response, see navan-incident-runbook.