Andreas Grabner discusses how Dynatrace provides Monitoring as a Self-Service (MaaSS) capabilities for developers, operators, DevOps, and business teams at a SaaS-based eCommerce platform, enabling more effective use of Kubernetes (k8s) as a cloud-native platform. While Kubernetes offers basic monitoring, Dynatrace enhances this with comprehensive features like full-stack observability, end-to-end code-level tracing, and service mesh insights, integrating data automatically for better context and understanding. The article highlights how different teams utilize Dynatrace: business teams use it to monitor SaaS tenant-specific data, cloud architects leverage it for deployment and architecture validations, k8s administrators benefit from its cluster and node health monitoring, and developers gain insights into code performance and optimization. Additionally, Dynatrace's AI engine, Davis®, assists in detecting anomalies and providing automatic problem detection. This MaaSS approach fosters greater engineering autonomy and is seen as a step toward Autonomous Cloud Management, with further goals of automating quality, delivery, and operations.