Kubernetes has become the standard for container orchestration, enabling organizations to manage and scale their applications efficiently in a cloud-native environment, but it requires observability to ensure optimal performance. Although Kubernetes automates many aspects of deployment, management, and scaling through its declarative model, it does not inherently provide full observability, making it necessary to build in monitoring to track system health. Observability in Kubernetes involves monitoring logs at both the cluster and application levels to understand system behavior and address issues proactively. Logs from Kubernetes components like kube-apiserver, kube-scheduler, and kube-controller-manager are essential for gaining insights into system operations, while application-level logs help understand runtime behavior and facilitate debugging and security investigations. Effective log management often involves using centralized platforms for analysis, with options such as node logging agents or sidecar logging agents for log forwarding. By integrating observability tools like Coralogix, organizations can perform real-time log analysis, track business metrics, and gain a comprehensive view of their Kubernetes deployments.