canva-observability
Set up observability for Canva Connect API integrations with metrics, traces, and alerts. Use when implementing monitoring for Canva API 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".
Best use case
canva-observability is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Set up observability for Canva Connect API integrations with metrics, traces, and alerts. Use when implementing monitoring for Canva API 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".
Teams using canva-observability should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/canva-observability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How canva-observability Compares
| Feature / Agent | canva-observability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Set up observability for Canva Connect API integrations with metrics, traces, and alerts. Use when implementing monitoring for Canva API 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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Canva Observability
## Overview
Instrument Canva Connect API calls with metrics, traces, and structured logging. Track latency, error rates, rate limit headroom, and export job completion times.
## Key Metrics
| Metric | Type | Labels | Description |
|--------|------|--------|-------------|
| `canva_api_requests_total` | Counter | `method`, `endpoint`, `status` | Total API calls |
| `canva_api_duration_seconds` | Histogram | `method`, `endpoint` | Request latency |
| `canva_api_errors_total` | Counter | `endpoint`, `error_code` | Error count |
| `canva_export_duration_seconds` | Histogram | `format` | Export completion time |
| `canva_token_refresh_total` | Counter | `status` | Token refresh attempts |
| `canva_rate_limit_remaining` | Gauge | `endpoint` | Rate limit headroom |
## Prometheus Instrumentation
```typescript
import { Registry, Counter, Histogram, Gauge } from 'prom-client';
const registry = new Registry();
const requestCounter = new Counter({
name: 'canva_api_requests_total',
help: 'Total Canva Connect API requests',
labelNames: ['method', 'endpoint', 'status'],
registers: [registry],
});
const requestDuration = new Histogram({
name: 'canva_api_duration_seconds',
help: 'Canva API request duration',
labelNames: ['method', 'endpoint'],
buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5, 10],
registers: [registry],
});
const rateLimitGauge = new Gauge({
name: 'canva_rate_limit_remaining',
help: 'Remaining rate limit for endpoint',
labelNames: ['endpoint'],
registers: [registry],
});
const exportDuration = new Histogram({
name: 'canva_export_duration_seconds',
help: 'Time from export request to completion',
labelNames: ['format'],
buckets: [1, 2, 5, 10, 20, 30, 60],
registers: [registry],
});
```
## Instrumented Client Wrapper
```typescript
async function instrumentedCanvaRequest<T>(
method: string,
endpoint: string,
fn: () => Promise<Response>
): Promise<T> {
const timer = requestDuration.startTimer({ method, endpoint });
try {
const res = await fn();
// Track rate limit headroom
const remaining = res.headers.get('X-RateLimit-Remaining');
if (remaining) {
rateLimitGauge.set({ endpoint }, parseInt(remaining));
}
const status = res.ok ? 'success' : `error_${res.status}`;
requestCounter.inc({ method, endpoint, status });
if (!res.ok) {
const body = await res.text();
throw new CanvaAPIError(res.status, body, endpoint);
}
return res.json();
} catch (error) {
requestCounter.inc({ method, endpoint, status: 'exception' });
throw error;
} finally {
timer();
}
}
```
## OpenTelemetry Tracing
```typescript
import { trace, SpanStatusCode } from '@opentelemetry/api';
const tracer = trace.getTracer('canva-connect-api');
async function tracedCanvaCall<T>(
operationName: string,
fn: () => Promise<T>
): Promise<T> {
return tracer.startActiveSpan(`canva.${operationName}`, async (span) => {
span.setAttribute('canva.base_url', 'api.canva.com/rest/v1');
try {
const result = await fn();
span.setStatus({ code: SpanStatusCode.OK });
return result;
} catch (error: any) {
span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
span.setAttribute('canva.error_code', error.status || 'unknown');
span.recordException(error);
throw error;
} finally {
span.end();
}
});
}
```
## Structured Logging
```typescript
import pino from 'pino';
const logger = pino({ name: 'canva', level: process.env.LOG_LEVEL || 'info' });
function logCanvaRequest(data: {
method: string;
endpoint: string;
status: number;
durationMs: number;
rateLimitRemaining?: number;
}) {
// NEVER log access tokens or refresh tokens
logger.info({
service: 'canva-connect-api',
...data,
});
}
```
## Alert Rules
```yaml
# prometheus/canva-alerts.yml
groups:
- name: canva_connect_api
rules:
- alert: CanvaHighErrorRate
expr: |
rate(canva_api_errors_total[5m]) /
rate(canva_api_requests_total[5m]) > 0.05
for: 5m
labels:
severity: warning
annotations:
summary: "Canva API error rate > 5%"
- alert: CanvaHighLatency
expr: |
histogram_quantile(0.95,
rate(canva_api_duration_seconds_bucket[5m])
) > 3
for: 5m
labels:
severity: warning
annotations:
summary: "Canva API P95 latency > 3s"
- alert: CanvaRateLimitLow
expr: canva_rate_limit_remaining < 5
for: 1m
labels:
severity: warning
annotations:
summary: "Canva rate limit nearly exhausted"
- alert: CanvaTokenRefreshFailing
expr: increase(canva_token_refresh_total{status="error"}[15m]) > 0
labels:
severity: critical
annotations:
summary: "Canva token refresh failing — users may lose access"
- alert: CanvaExportSlow
expr: |
histogram_quantile(0.95,
rate(canva_export_duration_seconds_bucket[15m])
) > 30
for: 10m
labels:
severity: warning
annotations:
summary: "Canva exports taking > 30s at P95"
```
## Grafana Dashboard Queries
```
# Request rate by endpoint
rate(canva_api_requests_total[5m])
# P95 latency
histogram_quantile(0.95, rate(canva_api_duration_seconds_bucket[5m]))
# Error rate percentage
100 * rate(canva_api_requests_total{status=~"error.*"}[5m]) / rate(canva_api_requests_total[5m])
# Rate limit headroom
canva_rate_limit_remaining
# Export completion time P50/P95
histogram_quantile(0.5, rate(canva_export_duration_seconds_bucket[5m]))
histogram_quantile(0.95, rate(canva_export_duration_seconds_bucket[5m]))
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Missing metrics | No instrumentation | Wrap all API calls |
| High cardinality | Too many label values | Use endpoint patterns, not full paths |
| Alert storms | Thresholds too sensitive | Tune for-duration and threshold |
| Token in logs | Missing redaction | Never log Authorization headers |
## Resources
- [Canva API Reference](https://www.canva.dev/docs/connect/api-reference/)
- [Prometheus](https://prometheus.io/docs/practices/naming/)
- [OpenTelemetry](https://opentelemetry.io/docs/)
## Next Steps
For incident response, see `canva-incident-runbook`.Related Skills
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