Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/flexport-pack/skills/flexport-observability/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill flexport-observability. Copyright stays with the author (MIT).

Flexport Observability

Overview

Full observability stack for Flexport integrations: Prometheus metrics for API health, pino structured logging for debugging, OpenTelemetry tracing for latency analysis, and Grafana dashboards for monitoring.

Prerequisites

• An approved telemetry schema using aggregate measurements and opaque correlation IDs.
• Named alert owners, escalation thresholds, secure dashboard access, retention rules, and synthetic alert fixtures.

Output

Publish an observability receipt with metric definitions, dashboard/alert references, threshold tests, owner, and review date. Metrics, traces, and logs must exclude shipment payloads, addresses, invoices, documents, and credentials.

Error Handling

• Reject telemetry fields that contain sensitive logistics data or headers.
• Alert on unexpected destination, queue, access, or integrity anomalies and route them to the incident owner.
• Suppress noise only through a documented time-bound rule that preserves incident visibility.

Examples

Send one successful and one rejected fictional event. Confirm dashboards report only aggregate outcomes and opaque IDs, an alert fires at the agreed threshold, and no payload or secret appears in the alert message.

Instructions

Step 1: Prometheus Metrics

import { Counter, Histogram, Gauge, register } from 'prom-client';

const flexportRequests = new Counter({
  name: 'flexport_api_requests_total',
  help: 'Total Flexport API requests',
  labelNames: ['method', 'endpoint', 'status'],
});

const flexportLatency = new Histogram({
  name: 'flexport_api_latency_seconds',
  help: 'Flexport API response time',
  labelNames: ['endpoint'],
  buckets: [0.1, 0.25, 0.5, 1, 2.5, 5, 10],
});

const flexportRateLimit = new Gauge({
  name: 'flexport_rate_limit_remaining',
  help: 'Remaining API calls in current window',
});

// Instrumented fetch wrapper
async function instrumentedFlexport(path: string, options: RequestInit = {}) {
  const endpoint = path.split('?')[0];
  const timer = flexportLatency.startTimer({ endpoint });
  try {
    const res = await fetch(`https://api.flexport.com${path}`, { ...options, headers: { ...headers, ...options.headers } });
    flexportRequests.inc({ method: options.method || 'GET', endpoint, status: res.status.toString() });
    const remaining = res.headers.get('X-RateLimit-Remaining');
    if (remaining) flexportRateLimit.set(parseInt(remaining));
    timer();
    return res;
  } catch (err) {
    flexportRequests.inc({ method: options.method || 'GET', endpoint, status: 'error' });
    timer();
    throw err;
  }
}

Step 2: Structured Logging

import pino from 'pino';

const logger = pino({
  name: 'flexport-integration',
  level: process.env.LOG_LEVEL || 'info',
  redact: ['headers.Authorization', 'apiKey'],
});

// Log every API call with context
async function loggedFlexport(path: string, options: RequestInit = {}) {
  const start = Date.now();
  const res = await instrumentedFlexport(path, options);
  logger.info({
    service: 'flexport',
    path,
    method: options.method || 'GET',
    status: res.status,
    latencyMs: Date.now() - start,
    rateRemaining: res.headers.get('X-RateLimit-Remaining'),
  }, 'Flexport API call');
  return res;
}

Step 3: Alert Rules

# prometheus-alerts.yml
groups:
  - name: flexport
    rules:
      - alert: FlexportAPIErrors
        expr: rate(flexport_api_requests_total{status=~"5.."}[5m]) > 0.1
        for: 5m
        labels: { severity: critical }
        annotations:
          summary: "Flexport API error rate elevated"

      - alert: FlexportRateLimitLow
        expr: flexport_rate_limit_remaining < 10
        for: 1m
        labels: { severity: warning }
        annotations:
          summary: "Flexport rate limit nearly exhausted"

      - alert: FlexportHighLatency
        expr: histogram_quantile(0.99, flexport_api_latency_seconds_bucket) > 5
        for: 5m
        labels: { severity: warning }

Grafana Dashboard Panels

Resources

• prom-client
• pino
• Flexport Status

Next Steps

For incident response, see flexport-incident-runbook.