What principle was used to configure alerts?

Alerts are configured based on the principle of detecting significant deviations in system operation that could lead to failures or deterioration of service quality. The main principles:

• Key metrics: Metrics critical for stability and performance are selected (e.g., memory usage, response time, error count).
• Threshold values: Thresholds are set for each metric, exceeding which triggers an alert.
• Context and frequency: Configured so that alerts do not trigger too often (noise filtering), for example, using time windows or aggregation.
• Priorities: Alerts are divided by importance levels — warnings, critical errors.
• Automation and integration: Alerts are integrated with notification systems (Slack, email, PagerDuty) for quick response.

Example of setting up an alert in a Java application: monitoring the number of exceptions per minute, if it exceeds 100 — send a notification.