Prometheus Collector

The Prometheus Collector report gathers workload metrics from a Prometheus installation in order to provide fine-grained resource usage data. This can be used to gauge how much different workloads cost, understand cost trends, and help set resource requests and limits.

Use an existing Prometheus installation

To use an existing Prometheus installation the prometheus service endpoint that exists within the cluster, set the address in your values.yaml:

prometheus-metrics:
  address: "http://<prometheus-service-name>.<namespace>.svc.cluster.local:<port>"

Install a new Prometheus

The Insights Agent chart can also install a new Prometheus server in your cluster to use. To install Prometheus alongside the Agent, add the following to your values.yaml:

prometheus-metrics:
  installPrometheusServer: true

Sample Report

Prometheus Collector contains CPU and Memory usage for different workloads

{
    "Values": [
        {
            "Container": "autoscaler",
            "ControllerKind": "Deployment",
            "ControllerName": "kube-dns-autoscaler",
            "ControllerNamespace": "kube-system",
            "LimitValue": 0,
            "Metric": "Memory",
            "PodName": "kube-dns-autoscaler-b48d96894-mjtkt",
            "Request": 10485760,
            "StartTime": "2021-02-01T13:20:00Z",
            "Value": 8777728
        },
        {
            "Container": "autoscaler",
            "ControllerKind": "Deployment",
            "ControllerName": "kube-dns-autoscaler",
            "ControllerNamespace": "kube-system",
            "LimitValue": 0,
            "Metric": "CPU",
            "PodName": "kube-dns-autoscaler-b48d96894-mjtkt",
            "Request": 20,
            "StartTime": "2021-02-01T13:21:00Z",
            "Value": 0
        }
    ]
}