canva-observability

Set up comprehensive observability for Canva integrations with metrics, traces, and alerts. Use when implementing monitoring for Canva operations, setting up dashboards, or configuring alerting for Canva integration health. Trigger with phrases like "canva monitoring", "canva metrics", "canva observability", "monitor canva", "canva alerts", "canva tracing".

claude-code
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canva-pack Plugin
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canva-pack

Claude Code skill pack for Canva (30 skills)

saas packs v1.0.0
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Installation

This skill is included in the canva-pack plugin:

/plugin install canva-pack@claude-code-plugins-plus

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Instructions

Canva Observability

Overview

Set up comprehensive observability for Canva integrations.

Prerequisites

  • Prometheus or compatible metrics backend
  • OpenTelemetry SDK installed
  • Grafana or similar dashboarding tool
  • AlertManager configured

Metrics Collection

Key Metrics

Metric Type Description
canvarequeststotal Counter Total API requests
canvarequestduration_seconds Histogram Request latency
canvaerrorstotal Counter Error count by type
canvaratelimit_remaining Gauge Rate limit headroom

Prometheus Metrics


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

const registry = new Registry();

const requestCounter = new Counter({
  name: 'canva_requests_total',
  help: 'Total Canva API requests',
  labelNames: ['method', 'status'],
  registers: [registry],
});

const requestDuration = new Histogram({
  name: 'canva_request_duration_seconds',
  help: 'Canva request duration',
  labelNames: ['method'],
  buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
  registers: [registry],
});

const errorCounter = new Counter({
  name: 'canva_errors_total',
  help: 'Canva 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('canva-client');

async function tracedCanvaCall<T>(
  operationName: string,
  operation: () => Promise<T>
): Promise<T> {
  return tracer.startActiveSpan(`canva.${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: 'canva',
  level: process.env.LOG_LEVEL || 'info',
});

function logCanvaOperation(
  operation: string,
  data: Record<string, any>,
  duration: number
) {
  logger.info({
    service: 'canva',
    operation,
    duration_ms: duration,
    ...data,
  });
}

Alert Configuration

Prometheus AlertManager Rules


# canva_alerts.yaml
groups:
  - name: canva_alerts
    rules:
      - alert: CanvaHighErrorRate
        expr: |
          rate(canva_errors_total[5m]) /
          rate(canva_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Canva error rate > 5%"

      - alert: CanvaHighLatency
        expr: |
          histogram_quantile(0.95,
            rate(canva_request_duration_seconds_bucket[5m])
          ) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Canva P95 latency > 2s"

      - alert: CanvaDown
        expr: up{job="canva"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "Canva integration is down"

Dashboard

Grafana Panel Queries


{
  "panels": [
    {
      "title": "Canva Request Rate",
      "targets": [{
        "expr": "rate(canva_requests_total[5m])"
      }]
    },
    {
      "title": "Canva Latency P50/P95/P99",
      "targets": [{
        "expr": "histogram_quantile(0.5, rate(canva_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 canva-incident-runbook.

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