Kubernetes Site Reliability Engineers (SREs) frequently encounter complex scenarios demanding swift and effective troubleshooting to maintain the stability and reliability of clusters. Traditional debugging methods, including manual inspection of logs, event streams, configurations, and system metrics, can be painstakingly slow and prone to human error, particularly under pressure. 

This manual approach often leads to extended downtimes, delayed issue resolution, and increased operational overhead, significantly impacting both the user experience and organizational productivity.