The default Kubecost installation no longer includes a bundled KSM deployment. Instead, Kubecost calculates and emits all required KSM metrics.
The following table shows all KSM metrics required by and implemented in Kubecost. The below metrics and labels follow conventions of KSMv1, not KSMv2.
Category | KSM Metric |
---|---|
If interested in enabling the KSM bundled in Kubecost's Helm chart, perform the below config changes. Re-enabling KSM has the added advantage of high availability. Specifically, if the kubecost-cost-analyzer
deployment had downtime, the kube-state-metrics
may still be available to emit metrics for Prometheus to scrape.
While not recommended, you can disable Kubecost cost-model's emission of KSM if you are already running your own KSM.
Disabling individual metrics is not recommended, as disabling metrics required by Kubecost to function may lead to unexpected behavior.
It is possible to disable individual metrics emitted by Kubecost if a more fine-grained approach is required. This can be done by setting the related Helm chart parameter:
If your Prometheus deployment is scraping both Kubecost and an external KSM deployment outside of Kubecost, there will be duplicated KSM metrics.
Kubecost itself is resilient to duplicate metrics, but other services or queries could be affected. There are several approaches for handling this problem:
Remove the external KSM from the cluster. If you do this, only the Kubecost-emitted metrics listed above should be available. However, This could cause other services that depend on KSM metrics to fail.
Rewrite queries that cannot handle duplicate metrics to include a filter on job=<external-KSM-scrape-job>
or to be generally resilient to duplication using query functions like avg_over_time
.
Run a separate Prometheus for Kubecost alone (the default installation behavior of Kubecost) and disable the scraping of Kubecost's metrics in your other Prometheus configurations.
We support reducing some duplication from Kubecost via config. To reduce the emission of metrics that overlap with metrics provided by KSM v2 you can set the following Helm values (code ref):
The metrics that will still be emitted include:
Node metrics (code ref)
kube_node_status_capacity
kube_node_status_capacity_memory_bytes
kube_node_status_capacity_cpu_cores
kube_node_status_allocatable
kube_node_status_allocatable_memory_bytes
kube_node_status_allocatable_cpu_cores
kube_node_labels
kube_node_status_condition
Namespace metrics (code ref)
kube_namespace_labels
Pod metrics (code ref)
kube_pod_labels
kube_pod_owner
If you are already running KSM v2, and have set the helm value to only emit KSM v1 metrics, you can also disable the Kubecost-based KSM deployment by setting the helm value prometheus.kube-state-metrics.disabled
to true
.
Node
kube_node_status_condition
kube_node_status_capacity
kube_node_status_capacity_memory_bytes
kube_node_status_capacity_cpu_cores
kube_node_status_allocatable
kube_node_status_allocatable_cpu_cores
kube_node_status_allocatable_memory_bytes
kube_node_labels
Namespace
kube_namespace_labels
kube_namespace_annotations
Deployment
kube_deployment_spec_replicas
kube_deployment_status_replicas_available
Pod
kube_pod_owner
kube_pod_labels
kube_pod_container_status_running
kube_pod_container_resource_requests
kube_pod_annotations
kube_pod_status_phase
kube_pod_container_status_terminated_reason
kube_pod_container_status_restarts_total
kube_pod_container_resource_limits
kube_pod_container_resource_limits_cpu_cores
kube_pod_container_resource_limits_memory_bytes
PV
kube_persistentvolume_capacity_bytes
kube_persistentvolume_status_phase
PVC
kube_persistentvolumeclaim_info
kube_persistentvolumeclaim_resource_requests_storage_bytes
Job
kube_job_status_failed