![]() It also helps infrastructure teams prevent issues from reoccurring. This data can be used during and after incidents to track issues and perform root-cause analysis. Observability systems show how multiple services connect, how data flows between them, and anomalies in this data. Thresholds and alerts notify engineering teams about potential utilization issues with the underlying infrastructure. Cloud infrastructure administrators need this data to analyze trends and estimate the predicted cost of running these resources. This is especially important with cloud-based infrastructure because it is paid based on usage. In this use case, analyzing trends in resource utilization can guide how far systems need to be scaled up or out. A common use case is to alert cluster administrators when the system needs additional resources such as CPU, memory, and storage. Resources are monitored to measure and compare to resource limits to predict if additional resources must be added to the cluster. ![]() Kube-prometheus can monitor resource utilization. Thresholds and alerts for this data will notify engineering teams about potential issues with slow applications. This data determines how many consumers are actively using the application and if they are getting a good experience. The load balancerthroughput measures how many total requests are being processed. Prometheus can collect data on HTTP response times and show if the applications are responding quickly. Common examples of performance monitoring include application HTTP request response time and underlying infrastructure performance. Kube-prometheus can monitor system performance. Kube-prometheus is ideal for several monitoring and observability use cases that we’ll review below. Kubernetes is a complex system, and cluster administrators require observability tools to monitor the health and state of the systems. Executive summary: Kube-prometheus overview In this article, we will review the kube-prometheus monitoring stack for Kubernetes clusters, including a walk-through of exactly how to install Kube Prometheus yourself. The stack is preconfigured to be highly available and collect metrics specific to Kubernetes clusters. It includes a PrometheusOperator, Alertmanager, Grafana, and several Kubernetes-specific exporters. Kube-prometheus is a popular deployment method for the full Prometheus stack that can be easily deployed into a Kubernetes cluster.
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