Skills Development Shopify App Observability Monitoring

Shopify App Observability Monitoring

v20260423
shopify-observability
Set up comprehensive observability for Shopify app integrations. This skill tracks crucial metrics like GraphQL query costs, REST rate limit consumption, webhook delivery success, and API latency. It is essential for production monitoring, setting up robust Prometheus metrics, and configuring alerts for performance bottlenecks in e-commerce SaaS environments.
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Overview

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());
});

Resources

Info
Category Development
Name shopify-observability
Version v20260423
Size 5.58KB
Updated At 2026-04-28
Language