Failure Trails
Follow the full story behind a production failure.
A Failure Trail connects the crash or error with the surrounding logs, replay context, RUM signals, runtime target, and alert history, so developers can understand what broke without rebuilding the incident by hand.
What is a Failure Trail?
An investigation path, not just a crash report
A crash report tells you where something failed. A Failure Trail tells you why. It connects the crash with the surrounding evidence: the logs that preceded it, the user session that triggered it, the performance metrics that degraded, and the alerts that fired afterward.
The useful evidence around the failure
When production breaks, developers usually jump between crash tools, log viewers, replay recorders, metrics dashboards, and alerting systems. A Failure Trail brings that evidence into one path so you can investigate the incident without stitching context together by hand.
Signals connected around the incident.
Crash or error
The stack trace, error message, and affected line that triggered the investigation.
Runtime target
Which platform, device, OS, and app version was running when the failure happened.
Timeline before failure
The sequence of events leading up to the crash: network calls, user actions, state changes.
Related logs
Log lines from the same session or device that provide context around the error.
Replay context
A recording of the user's session showing the clicks, scrolls, and navigation before the failure.
RUM signals
Performance metrics like load time, frame rate, and network latency from the real session.
Alert history
Which alerts fired, when they fired, and whether they reached the right channel.
All seven signals are connected automatically. No manual timestamp matching. No context switching between tools.
Start from the failure. Follow the evidence.
POST /checkout: 4.2s response time
checkout.fail code=PAYMENT_DECLINED
Session: 14 clicks before crash
TypeError in parseUser (utils/parse.ts:42)
Slack: #alerts-prod
Why this matters during an incident.
Jumping between tools is slow
Developers usually open a crash tool, then a log viewer, then a replay tool, then a metrics dashboard, then an alerting system. Each tool shows one piece of the story. Connecting those pieces takes time you do not have during an outage.
The hard part is connecting signals under pressure
A crash rarely explains itself. The log that preceded it, the network call that slowed down, the user action that triggered the failure. Those signals live in different places. Matching timestamps across tools is manual work that slows down the investigation.
Vestara connects the evidence into one flow
A Failure Trail links the crash, the runtime target, the timeline, the logs, the replay, the RUM signals, and the alert history into one debugging path. You start from the failure and follow the evidence without leaving the investigation.
Learn the difference.
Crash Reporting vs Failure Trails
See how traditional crash reports compare with a connected Failure Trail workflow.
Read the comparisonDebug the story, not just the crash.
Join the waitlist to try Failure Trails across crashes, logs, replay context, RUM, runtime targets, and alerts.