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".
Allowed Tools
Provided by Plugin
canva-pack
Claude Code skill pack for Canva (30 skills)
Installation
This skill is included in the canva-pack plugin:
/plugin install canva-pack@claude-code-plugins-plus
Click to copy
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.