Where did you set up alerting and how did you determine the thresholds?

Alerting is configured in monitoring systems such as Prometheus with Alertmanager, Grafana, Zabbix, or Datadog.

Thresholds are determined based on:

• Historical metric data — analyzing normal system behavior to identify anomalies.
• SLA and business requirements — for example, acceptable error or delay levels.
• Empirical heuristics — thresholds are set with a margin to avoid false alarms.

For example, an alert can be set for CPU if the load exceeds 80% for five consecutive minutes. For errors — if the number of errors per minute exceeds the mean by 3 sigma.

It is also important to configure different alert levels (warning, critical) and to implement noise suppression mechanisms (throttling, deduplication).