Kubernetes, an open-source container orchestration system, is widely used to manage containerized workloads across hybrid cloud and on-premises environments, offering flexible and declarative configuration for scalability. However, its distributed nature complicates the monitoring of deployment health and cluster status, necessitating access to relevant logs for effective oversight. Dynatrace Log Management and Analytics enhances Kubernetes observability by maintaining the complete context of Kubernetes architecture and platform logs, using Dynatrace OneAgent to automatically identify and enrich logs with metadata such as namespace and workload. This enriched log data aids in troubleshooting and provides actionable insights into services and platforms. Dynatrace also offers advanced filtering, masking, and log ingestion options, and integrates with existing log shipping solutions. With the use of Dynatrace Davis AI, unexpected issues such as out-of-memory errors can be quickly identified and addressed, minimizing mean time to resolution (MTTR). The platform's log analytics capabilities allow users to drill down by cluster, namespace, or workload, offering comprehensive visibility and the ability to take proactive measures against potential release issues.