Can it alert me before I hit Shopify rate limits?

Yes, it includes logic to parse REST headers and trigger warnings or Prometheus alerts when your API bucket exceeds 80% capacity.

How does it handle sensitive shop data in logs?

It includes instructions for structured logging with automatic PII redaction, ensuring that sensitive merchant information is not stored in your observability platform.

Does this require a specific monitoring backend?

The skill provides patterns for Prometheus and structured logging (Pino), but the logic can be adapted for OpenTelemetry or other monitoring stacks.

What specific Shopify metrics does this skill track?

It tracks GraphQL query costs via extensions.cost, REST API leaky bucket headers (X-Shopify-Shop-Api-Call-Limit), webhook HMAC validation success, and overall API latency.

Shopify Observability & Monitoring

Name: Shopify Observability & Monitoring
Author: jeremylongshore

byjeremylongshore

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2,028

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Analíticas y Monitorización

Instruments Shopify applications for real-time tracking of API rate limits, GraphQL query costs, and webhook delivery metrics.

This skill empowers developers to implement robust production monitoring for Shopify applications by tracking essential metrics that generic tools often overlook. It provides comprehensive instrumentation for GraphQL query costs, REST API rate limit headers, and webhook delivery success rates, ensuring your integration remains healthy and compliant with Shopify's performance standards. By integrating Prometheus metrics and structured logging with PII redaction, it helps you proactively identify throttling issues, high-latency operations, and processing failures before they impact merchant operations.

Características Principales

01Webhook delivery success and processing duration metrics

02Pre-configured Prometheus alert rules for critical API conditions

03GraphQL query cost tracking and per-operation analysis

04Structured logging with automatic PII redaction for Shopify context

05REST API leaky bucket rate limit monitoring and alerting

062,028 GitHub stars

Casos de Uso

01Preventing app outages caused by Shopify API rate limit exhaustion

02Debugging intermittent webhook processing failures in high-volume stores

03Optimizing expensive GraphQL queries based on production cost data

Características Principales

01Webhook delivery success and processing duration metrics

02Pre-configured Prometheus alert rules for critical API conditions

03GraphQL query cost tracking and per-operation analysis

04Structured logging with automatic PII redaction for Shopify context

05REST API leaky bucket rate limit monitoring and alerting

062,028 GitHub stars

Casos de Uso

01Preventing app outages caused by Shopify API rate limit exhaustion

02Debugging intermittent webhook processing failures in high-volume stores

03Optimizing expensive GraphQL queries based on production cost data