Alerts can be both beneficial and detrimental to software engineers, as they enable immediate intervention but also overwhelm with multiple alerts at once. Alert correlation is a strategic approach that groups related alerts together, enabling noise reduction, facilitated situational awareness, improved cross-party communications, and faster root cause identification. Correlation helps in identifying patterns of bursting alerts and how it can be applied to various scenarios such as alerts for the same entity, alerts between the same type of entities, alerts across various entities impacted directly or indirectly by the same source, and alerts between entities with relationships. Real-world scenarios demonstrate the effectiveness of correlation in reducing mean time to resolution (MTTR) and improving incident pattern matching procedures. To configure correlations effectively, filters can be applied to enforce isolation and custom tagging, generalization can be used to capture symptoms, and validation is crucial to ensure accuracy before applying rules in production.