Error Spike Escalation

Honeybadger reports exceptions from an application in real time, grouped by error type and frequency. A Beam agent reads incoming error events and applies the team's approved threshold, such as a tenfold jump in a specific error within ten minutes, to decide when a spike counts as urgent. When the rule fires, the agent pages the on-call engineer through the team's paging tool and notes the error group it relates to. Errors that fall below the threshold, or lack a defined rule yet, stay visible in Honeybadger without paging anyone, and unclear cases are left for an engineer to triage.

Uptime Check Failure Routing

Honeybadger runs scheduled uptime and cron checks against a customer's services and marks them as failing when they miss an expected heartbeat. A Beam agent reads a failed check and, where the rule allows, notifies the service owner directly instead of a shared channel, based on which service the check belongs to. It also records the failure against the relevant incident log if one exists. Checks that fail intermittently without a clear pattern, or that lack an assigned owner in the account, are routed to a human to investigate rather than paged automatically.

Error Resolution Status Updates

Engineers mark Honeybadger errors as resolved, ignored, or unresolved as they work through them. A Beam agent checks for errors left unresolved past an agreed window, for example three days for a low severity error, and applies the customer's rule to reassign or re-notify the owner. Where account permissions allow it, the agent updates the error's status once a linked fix ships and the error stops recurring. Errors tied to a customer complaint or a security concern are excluded from auto resolution and routed to a human to close manually instead.