linear-observability

name	linear-observability
description	Implement monitoring, logging, and alerting for Linear integrations. Use when setting up metrics collection, dashboards, or configuring alerts for Linear API usage. Trigger: "linear monitoring", "linear observability", "linear metrics", "linear logging", "monitor linear", "linear Prometheus", "linear Grafana".
allowed-tools	Read, Write, Edit, Grep
version	1.12.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","linear","api","monitoring","observability"]
compatibility	Designed for Claude Code

Linear Observability

Overview

Production monitoring for Linear integrations using Prometheus metrics, structured logging with pino, health checks, and alerting rules. Track API latency, error rates, rate limit headroom, and webhook throughput.

Prerequisites

• Linear integration deployed
• Prometheus or Datadog for metrics
• Structured logging (pino, winston)
• Alerting system (PagerDuty, OpsGenie, Slack)

Instructions

Step 1: Define Metrics

// src/metrics/linear-metrics.ts
import { Counter, Histogram, Gauge, register } from "prom-client";

export const metrics = {
  // API request tracking
  apiRequests: new Counter({
    name: "linear_api_requests_total",
    help: "Total Linear API requests",
    labelNames: ["operation", "status"],
  }),

  // Request duration
  apiLatency: new Histogram({
    name: "linear_api_request_duration_seconds",
    help: "Linear API request duration",
    labelNames: ["operation"],
    buckets: [0.1, 0.25, 0.5, 1, 2, 5, 10],
  }),

  // Rate limit headroom
  rateLimitRemaining: new ({
    : ,
    : ,
    : [], 
  }),

  
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    : [, ],
  }),

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  }),

  
  :  ({
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  }),
  :  ({
    : ,
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    : [],
  }),
};


app.(,  (req, res) => {
  res.(, register.);
  res.( register.());
});