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

Evernote Observability

Overview

Comprehensive observability setup for Evernote integrations: Prometheus metrics for API call tracking, structured JSON logging, OpenTelemetry tracing, health check endpoints, and alerting rules.

Prerequisites

• Monitoring infrastructure (Prometheus, Datadog, or CloudWatch)
• Log aggregation (ELK, Loki, or CloudWatch Logs)
• Alerting system (PagerDuty, Opsgenie, or Slack webhooks)

Instructions

Step 1: Metrics Collection

Track key metrics with Prometheus counters and histograms: evernote_api_calls_total (by method and status), evernote_api_duration_seconds (latency histogram), evernote_rate_limits_total (rate limit hits), evernote_quota_usage_bytes (upload quota consumption).

const { Counter, Histogram } = require('prom-client');

const apiCalls = new Counter({
  name: 'evernote_api_calls_total',
  help: 'Total Evernote API calls',
  labelNames: ['method', 'status']
});

const apiDuration = new Histogram({
  name: 'evernote_api_duration_seconds',
  help: 'Evernote API call duration',
  labelNames: ['method'],
  buckets: [0.1, 0.5, 1, 2, 5, 10]
});

Step 2: Instrumented Client

Wrap the NoteStore with a Proxy that automatically records metrics for every API call. Increment counters on success/failure, observe latency in histograms, and count rate limit events.

Step 3: Structured Logging

Use JSON-formatted logs with consistent fields: timestamp, level, method, duration, userId (hashed), noteGuid. Redact access tokens from all log output.

function logApiCall(method, duration, error) {
  const entry = {
    timestamp: new Date().toISOString(),
    service: 'evernote-integration',
    method,
    duration_ms: duration,
    status: error ? 'error' : 'success',
    error_code: error?.errorCode
  };
  console.log(JSON.stringify(entry));
}

Step 4: Health and Readiness Endpoints

Implement /health (liveness: is the process running?) and /ready (readiness: can we reach Evernote API?). Include cache connectivity check.

Step 5: Alert Rules

Configure Prometheus alerts: rate limit hits > 5 in 10 minutes, API error rate > 10%, p95 latency > 5 seconds, quota usage > 90%.

# prometheus-alerts.yml
groups:
  - name: evernote
    rules:
      - alert: EvernoteRateLimited
        expr: rate(evernote_rate_limits_total[10m]) > 0.5
        for: 5m
        labels: { severity: warning }
        annotations:
          summary: "Evernote rate limits detected"

For the complete metrics setup, Grafana dashboard JSON, tracing configuration, and alert rules, see Implementation Guide.

Output

• Prometheus metrics: API calls, latency histogram, rate limits, quota usage
• Instrumented NoteStore client with automatic metric recording
• Structured JSON logging with token redaction
• Health and readiness endpoints
• Prometheus alert rules for rate limits, errors, and latency

Error Handling

Resources

• Prometheus
• OpenTelemetry Node.js
• Grafana
• prom-client npm

Next Steps

For incident handling, see evernote-incident-runbook.

Examples

Grafana dashboard: Display API call rate, p50/p95/p99 latency, error rate, rate limit frequency, and quota usage on a single dashboard. Set time range to last 24 hours.

Rate limit alerting: Alert on-call when rate limit hits exceed 5 per 10-minute window. Include runbook link to evernote-rate-limits in the alert annotation.