In modern cloud-native environments, achieving comprehensive observability is crucial for maintaining optimal performance and reliability. Traditional monitoring approaches often fall short in providing the granular insights necessary to diagnose complex issues within Kubernetes clusters. This presentation explores the integration of continuous application profiling into Kubernetes observability practices, leveraging both native and eBPF-based methods.