Monitoring Kubernetes is challenging due to its complexity, microservices architecture, and massive scale requirements in cloud-native environments. Traditional monitoring tools often fail to provide visibility inside containers, making it hard to track performance and detect issues. This guide explains why Kubernetes monitoring is difficult and offers best practices for alerting, including general alerting principles and strategies tailored for Kubernetes workloads. By implementing proper monitoring and alerting, organizations can ensure reliability, optimize performance, and maintain security across dynamic Kubernetes clusters.

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