Kubernetes, a fundamental cloud operating system, enables the deployment, scaling, and management of containerized microservice applications, with kubectl serving as its primary command-line tool for interacting with the Kubernetes API. However, kubectl's complexity can pose challenges, particularly for developers not well-versed in Kubernetes architecture, leading to potential errors and inefficiencies in cluster management. The article outlines common pitfalls such as complex querying, difficulty in root cause analysis, limited debugging commands, configuration drift, and context management issues, emphasizing the need for understanding Kubernetes concepts to utilize kubectl effectively. To mitigate these challenges, tools like Komodor offer a comprehensive platform for Kubernetes operations, integrating automated playbooks and contextual insights to enhance efficiency and empower development teams. The article suggests that while kubectl is indispensable for Kubernetes troubleshooting, leveraging specialized platforms can significantly streamline operations and improve management outcomes.