What is error analytics?

Error analytics is the collection and analysis of data about errors and failures in an application, to understand:

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#What broke

• JavaScript errors,
• crashes,
• rejected promises,
• API errors,
• problems loading resources.

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#Where and for whom it happened

• which users were affected,
• which browser and device,
• which country,
• which step of the funnel,
• which version of the application.

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#Why it's needed

1. Real-time bug detection, catching errors before a user reports them.
2. Prioritizing by scale, seeing which errors happen often and which are critical.
3. Context analysis, which actions led to the failure.
4. Connecting it to the business, if 5% of users can't complete an order because of an error, that's money, not just a bug.

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#Example tools:

• Sentry
• Bugsnag
• Rollbar
• Firebase Crashlytics

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Summary: error analytics is not just an error log, it's a systematic way to understand where the product breaks, for whom, why, and how critical it is.