Proactive watchdog for production exceptions

A log-aware agent grouped new exception patterns, investigated root causes, and prepared fixes before users turned production signals into support tickets.

Real-time

application log ingestion

Grouped

exception patterns

PR-ready

fix path

The challenge

The team did not want to wait for users to notice newly released issues.

Exception streams needed grouping and interpretation, not just alerts.

Release risk was amplified by a small team supporting a broad production surface.

What Kognita ran

The watchdog ingested application logs, grouped exceptions, and flagged newly identified error patterns.

The agent ran root-cause analysis against code, recent changes, and operational context.

When a fix path was clear, it prepared a pull request and routed the finding to the right team.

Business outcome

Releases became less dependent on customer-reported discovery.

The team gained a foundation for anomaly detection and behavior-based alerting.

Production support shifted from reactive ticket triage toward proactive system monitoring.

Evidence basis

Built from a real enterprise deployment, anonymized for confidentiality.

The deck describes a system watchdog that ingests logs in real time, identifies and groups exceptions, flags new patterns, performs root-cause analysis, fixes issues, and raises pull requests. Exact client names, market names, private system identifiers, internal ticket IDs, and sensitive implementation details have been removed.

Source reference: Slide 12 from the internal case-study deck.