Distributed Tracing for Swift: A Setup Guide

When a request in your Swift application touches multiple services, debugging latency issues becomes exponentially harder. Distributed tracing connects the dots.

Why Distributed Tracing Matters for Swift

Swift 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 distributed tracing 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 Swift

1. Install the Bugsly SDK for your Swift project:

pod 'Bugsly'

1. Initialize Bugsly in your application entry point:

import Bugsly

func application(_ application: UIApplication,
    didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?) -> Bool {
    BugslySDK.start { options in
        options.dsn = "YOUR_BUGSLY_DSN"
        options.tracesSampleRate = 1.0
    }
    return true
}

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 Swift integration hooks into the framework's lifecycle, so you get relevant context without manual instrumentation.

Next Steps

With distributed tracing active, use Bugsly's trace explorer to find slow spans and identify bottlenecks across services. Set up performance alerts for transactions that exceed your latency budgets. Tag traces with custom attributes to filter by specific users, endpoints, or business operations.