Alert storms occur when monitoring platforms generate excessive alerts simultaneously or in succession, often due to microservices architectures with multiple dependencies and failure points. This can lead to confusion, delayed incident response, and alert fatigue. To reduce the impact of alert storms, techniques such as mapping dependencies, using exponential backoff or service checks, scheduling downtimes, leveraging notification grouping and event correlation, and implementing automated remediation are recommended. These methods help prevent critical issues from being overlooked, minimizing downtime and avoiding operational disruption.