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How to Set Up Performance Monitoring in Gatsby

Learn how to set up performance monitoring in Gatsby with Bugsly. Step-by-step guide with code examples and best practices.

Slow Gatsby applications lose users. Performance monitoring helps you identify bottlenecks, track regressions, and keep your app fast as it grows.

Why Performance Monitoring Matters for Gatsby

Gatsby applications face unique challenges in production environments. Network failures, unexpected input, third-party API changes, and edge cases all contribute to runtime issues that are difficult to catch during development. Proper performance monitoring with Bugsly gives your team actionable data — including stack traces, request context, and environment details — so you can resolve issues quickly.

Setting Up Bugsly for Gatsby

  1. Install the Bugsly SDK for your Gatsby project:
npm install @bugsly/gatsby
  1. Initialize Bugsly in your application entry point:
// gatsby-config.js
module.exports = {
  plugins: [
    {
      resolve: "@bugsly/gatsby",
      options: {
        dsn: "YOUR_BUGSLY_DSN",
        sampleRate: 0.7,
      },
    },
  ],
};
  1. Verify the integration by triggering a test event. Bugsly will capture it and display it in your dashboard within seconds.
  1. Configure alert rules in the Bugsly dashboard to get notified via Slack, email, or webhook when new issues appear.

What You Get

Once configured, Bugsly automatically captures unhandled exceptions, groups similar errors, and provides detailed context for each event. You'll see stack traces, breadcrumbs showing what happened before the error, and release tracking to correlate issues with deployments. The Gatsby integration hooks into the framework's lifecycle, so you get relevant context without manual instrumentation.

Next Steps

With performance monitoring in place, set up transaction-level alerts for endpoints that exceed your response time targets. Use Bugsly's performance dashboard to track web vitals and identify the slowest transactions. Enable profiling to get function-level performance data for your most critical code paths.

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