Kubernetes has become the leading platform for application infrastructure, bringing both flexibility and challenges, particularly in operational complexity and troubleshooting. The rise of platform engineering has been significantly influenced by Kubernetes, which standardizes the deployment and management of containerized applications at scale. However, this can result in issues such as limited visibility, complex debugging processes, and increased cognitive load for developers. Tools like Komodor address these challenges by offering a centralized, intuitive UI that consolidates data from various clusters, providing actionable insights and improving troubleshooting efficiency. Komodor enhances Kubernetes management by integrating AI-driven analytics for proactive problem-solving, optimizing resource usage, and simplifying access governance. By understanding and addressing common Kubernetes pain points with solutions like Komodor, platform engineers can create scalable, reliable environments that empower developers, enabling them to focus on innovation rather than firefighting operational issues.