Kubernetes facilitates the management and development of distributed applications by deploying containerized workloads across nodes, but this inherent complexity can lead to challenging errors. To address this, observability and monitoring are essential for gaining deeper insights into application states, as Kubernetes lacks visibility into internal processes. Instrumenting application code with telemetry data, such as metrics, logs, and traces, can provide valuable insights, which can be further enhanced with monitoring solutions like Dynatrace. Dynatrace offers comprehensive observability into all layers of Kubernetes deployments, integrating seamlessly with cloud infrastructure like AWS, Azure, and VMware. It uses OneAgent to collect relevant data automatically and provides tools for digital experience monitoring, such as Synthetic Monitoring and Real User Monitoring, to track real user interactions and performance. Dynatrace's AI engine, Davis®, performs root cause analysis, and customizable dashboards can align technical insights with business goals. Ultimately, Dynatrace helps manage the dynamic nature of Kubernetes environments, ensuring both technical performance and customer satisfaction are maintained.