In the realm of modern cloud-native applications and microservices architectures, monitoring and alerting are critical for maintaining system reliability and uptime. Prometheus has emerged as one of the most popular monitoring tools, widely adopted for its robust time-series database and flexible querying capabilities. However, as systems grow in complexity, the volume of alerts generated by Prometheus can become overwhelming, leading to a phenomenon known as alert fatigue.

In the modern era of cloud-native development, Kubernetes has become the de facto standard for container orchestration. As applications grow more complex and are decomposed into microservices, monitoring becomes crucial to ensure system reliability, performance, and scalability. Without proper visibility into your cluster’s health and application behavior, even small issues can escalate into critical outages.