Production error Analysis

Incidents occur less, and they stop recurring.

The same defect escapes, again and again, because nothing closes the loop between production and testing. Sauce Error Reporting analyzes your live app for crashes and errors in real time and feeds every failure back into your test coverage and future validation, uncovering risk across the entire SDLC before it costs you.

THE MOST TRUSTED NAME IN TESTING AND RELEASE ASSURANCE FOR TWO DECADES AND COUNTING

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SOURCE: COMMISSIONED TEI™ STUDY BY FORRESTER CONSULTING, 2023

SOURCE: COMMISSIONED TEI™ STUDY BY FORRESTER CONSULTING, 2023

SOURCE:COMMISSIONED TEI™ STUDY BY FORRESTER CONSULTING,2023

before & after

What changes when AURA runs the release lifecycle

  • Production failures surface when customers complain
  • The same defect escapes release after release
  • War rooms and postmortems after every incident
  • App-impacting issues recur
  • Root cause analysis takes hours of log diving
  • Real-time crash and error alerts as they happen
  • Failures feed back into testing, so 90% fewer defects escape
  • Fast triage with call stack and user-attribute context
  • App-impacting issues cut to zero per year
  • Root cause surfaces with context in minutes

SAUCE LABS AURA Platform

One platform with outcomes built into every layer

AURA operates across three pillars — author, test, analyze — spanning the full lifecycle from requirements through production monitoring. Each capability maps directly to an operational outcome.

Resources

The reading list for questions you know are coming

Report

Forrester Total Economic Impact™ — Sauce Labs

217% ROI. $6.85M NPV. Payback in under six months. Risk-adjusted estimates for a composite organization representative of interviewed customers.

Download the Forrester TEI

Validation

ESG Economic Validation

46% improvement in code push frequency. 75%–100% reduction in testing bottlenecks. $200K annual savings from hardware test farm elimination.

Download the ESG Validation

Resource Hub

Sauce Labs Signal

Case studies, best practices, and industry insights to help your team delivery quality at scale.

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Production error analysis involves capturing crashes and errors in your live app in real time. With Sauce Error Reporting, error reporting pairs with automatic analysis that gives engineers the device, OS, call stack, and session context needed to triage and fix the issue fast.

Real-time data shortens triage, and the feedback loop prevents repeat defects. Customers experience up to a 75% reduction in error monitoring costs.

Sauce Error Reporting automatically surfaces call stacks, threads, variables, and device state at the moment of the crash, so engineers can diagnose the root cause in minutes rather than piecing together logs manually.

Yes. Sauce Error Reporting integrates with Jira, GitHub, Asana, Slack, PagerDuty, OpsGenie, and Datadog, routing crash alerts into the workflows your SREs already run. A webhook covers any custom system.

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Yes. Sauce Error Reporting captures the device, OS, call stack, and user session at the moment of failure, so engineers can reproduce the conditions on a real or virtual device without needing a user to report it.

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AI coding only moved the release bottleneck. AURA removes it.

About 90% fewer escaped defects. App-impacting issues cut to zero. Contained before they spread.