How Traceback Works

Traceback is engineered to provide end-to-end visibility into runtime anomalies with sub-millisecond client latency and distributed tracing accuracy.

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Architecture Overview

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1. Zero-Impact Capture

The Traceback SDK installs lightweight runtime interceptors (window.onerror, unhandledrejection, panic hooks, and async wrapper chains). Payloads are batched and dispatched asynchronously via navigator.sendBeacon or background worker queues without blocking the main event loop.

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2. PII Scrubbing & Data Masking

Before telemetry leaves the client environment, configurable scrubbers automatically sanitize:

• Passwords, credit cards, and authorization headers
• DOM input fields and form elements
• Custom regex-defined sensitive keys

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3. Symbolication

When a minified stack trace arrives, Traceback references your uploaded source maps or native debug symbols (dSYMs, ProGuard mappings, ELF debuginfo) to reconstruct original source lines, variable names, and column numbers.

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4. Intelligent Fingerprinting

Similar exceptions occurring across millions of sessions are clustered using AST structural fingerprinting, preventing alert fatigue and isolating new regressions from known background noise.

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5. AI Root Cause Synthesis

For every newly surfaced issue, Traceback’s AI engine inspects the stack frames, correlated telemetry spans, recent git commits, and breadcrumbs to generate a natural language diagnosis and proposed code fix.