Imported from jeremylongshore/tons-of-skills-marketplace (
plugins/saas-packs/shopify-pack/skills/shopify-observability/SKILL.md). Install upstream withnpx skills add jeremylongshore/tons-of-skills-marketplace --skill shopify-observability. Copyright stays with the author (MIT).
Shopify Observability
Overview
Instrument your Shopify app to track GraphQL query cost, rate limit consumption, webhook delivery success, and API latency. Shopify-specific metrics that generic monitoring misses.
Prerequisites
- Prometheus or compatible metrics backend
- pino or similar structured logger
- Shopify API client with response interception
Instructions
Step 1: Shopify-Specific Metrics
Define Prometheus counters, histograms, and gauges for query cost, rate limit headroom, REST bucket state, API duration, webhook processing, and error classification.
See Shopify Metrics Definitions for the complete metric registrations.
Step 2: Instrumented GraphQL Client
Wrap the Shopify GraphQL client to automatically record query cost from extensions.cost, update rate limit gauges, and classify errors (throttled, auth, API error).
See Instrumented GraphQL Client for the complete implementation.
Step 3: REST API Header Tracking
Parse X-Shopify-Shop-Api-Call-Limit headers (e.g., "32/40") from REST responses to track leaky bucket fill level. Warn when bucket exceeds 80% capacity.
function trackRestHeaders(shop: string, headers: Record<string, string>): void {
const callLimit = headers["x-shopify-shop-api-call-limit"];
if (callLimit) {
const [used, max] = callLimit.split("/").map(Number);
restBucketGauge.set({ shop }, used);
if (used > max * 0.8) {
console.warn(`[shopify] REST bucket at ${used}/${max} for ${shop}`);
}
}
}Step 4: Webhook Observability
Track HMAC validation results, processing success/failure, and duration for all incoming webhooks.
See Webhook Observability for the complete Express middleware.
Step 5: Structured Logging
Pino-based logger with automatic PII redaction and Shopify-specific context fields (query cost, available points, operation name).
See Structured Logging for the complete implementation.
Step 6: Alert Rules
Prometheus alert rules for low rate limits, high query cost (P95 > 500), webhook failures (> 10%), and API latency (P95 > 3s).
See Alert Rules for the complete Prometheus configuration.
Output
- GraphQL query cost tracking with per-operation metrics
- Rate limit monitoring for both REST and GraphQL
- Webhook delivery and processing metrics
- Structured logs with automatic PII redaction
- Alert rules for critical Shopify-specific conditions
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Missing cost data | Query error before response | Check error handling wraps correctly |
| High cardinality | Per-shop labels | Aggregate by plan tier instead |
| Alert storms | Aggressive thresholds | Tune based on baseline traffic |
| Webhook metrics missing | Not instrumented | Add counter to webhook handler |
Examples
Metrics Endpoint
app.get("/metrics", async (req, res) => {
res.set("Content-Type", registry.contentType);
res.send(await registry.metrics());
});