On-call engineers are bombarded with alerts, many of which are non-critical. An AI system could learn to distinguish truly urgent issues that require immediate attention.
Build a monitoring tool that analyzes past incidents to create smart filters, only escalating alerts that match patterns of serious problems.
Engineering managers would pay to reduce burnout and improve incident response times.
Start with basic pattern matching for common false alarms in specific tech stacks.
Risk: False negatives could lead to missed critical issues, eroding trust in the system.