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User Metrics

Metrics Consumed

The following metrics are being consumed by the Kubecost installation.

Kubecost Cost Model

The Cost Model both exports and consumes the following metrics.
Metric
Description
node_cpu_hourly_cost
Hourly cost per vCPU on this node
node_gpu_hourly_cost
Hourly cost per GPU on this node
node_ram_hourly_cost
Hourly cost per Gb of memory on this node
node_total_hourly_cost
Total node cost per hour
kubecost_load_balancer_cost
Hourly cost of a load balancer
kubecost_cluster_management_cost
Hourly cost paid as a cluster management fee
pv_hourly_cost
Hourly cost per GP on a persistent volume
node_gpu_count
Number of GPUs available on node
container_cpu_allocation
Average number of CPUs requested/used over last 1m
container_gpu_allocation
Average number of GPUs requested over last 1m
container_memory_allocation_bytes
Average bytes of RAM requested/used over last 1m
pod_pvc_allocation
Bytes provisioned for a PVC attached to a pod
kubecost_node_is_spot
Cloud provider info about node preemptibility
kubecost_network_zone_egress_cost
Total cost per GB egress across zones
kubecost_network_region_egress_cost
Total cost per GB egress across regions
kubecost_network_internet_egress_cost
Total cost per GB of internet egress
service_selector_labels
Service Selector Labels
deployment_match_labels
Deployment Match Labels
statefulSet_match_labels
StatefulSet Match Labels
kubecost_cluster_memory_working_set_bytes
(Created by recording rule)

Kubecost Network Costs

The Kubecost network-costs daemonset collects node network data and exports the egress, ingress, and performance statistics.
Metric
Description
kubecost_pod_network_egress_bytes_total
egressed byte counts by pod
kubecost_pod_network_ingress_bytes_total
ingressed byte counts by pod
kubecost_network_costs_parsed_entries
total parsed conntrack entries
kubecost_network_costs_parse_time
total time in milliseconds it took to parse conntrack entries

cAdvisor

cAdvisor (Container Advisor) provides container users an understanding of the resource usage and performance characteristics of their running containers. It is a running daemon that collects, aggregates, processes, and exports information about running containers.
Metric
Description
container_memory_usage_bytes
Current memory usage, including all memory regardless of when it was accessed
container_fs_limit_bytes
Number of bytes that can be consumed by the container on this filesystem
container_fs_usage_bytes
Number of bytes that are consumed by the container on this filesystem
container_memory_working_set_bytes
Current working set
container_network_receive_bytes_total
Cumulative count of bytes received
container_network_transmit_bytes_total
Cumulative count of bytes transmitted
container_cpu_usage_seconds_total
Cumulative cpu time consumed
container_cpu_cfs_periods_total
Number of elapsed enforcement period intervals
container_cpu_cfs_throttled_periods_total
Number of throttled period intervals

Kube-State-Metrics

The following KSM metrics are both consumed and emitted by the Kubecost installation. The cost-model replicates all of these metrics such that a KSM installation is not actually required. Read more here.
Metric
Description
kube_deployment_spec_replicas
Number of pods specified for a Deployment
kube_deployment_status_replicas_available
Number of pods currently available for a Deployment
kube_job_status_failed
The number of pods which reached Phase Failed and the reason for failure
kube_namespace_annotations
Kubernetes annotations converted to Prometheus labels
kube_namespace_labels
Kubernetes labels converted to Prometheus labels
kube_node_labels
Kubernetes labels converted to Prometheus labels
kube_node_status_allocatable
The allocatable for different resources of a node that are available for scheduling
kube_node_status_allocatable_cpu_cores
Total allocatable cpu cores of the node (Depecated in ksm 2.0.0)
kube_node_status_allocatable_memory_bytes
Total allocatable memory bytes of the node (Depecated in ksm 2.0.0)
kube_node_status_capacity
The capacity for different resources of a node
kube_node_status_capacity_cpu_cores
Total cpu cores available on the the node (Depecated in ksm 2.0.0)
kube_node_status_capacity_memory_bytes
Total memory available on the node (bytes) (Depecated in ksm 2.0.0)
kube_node_status_condition
The condition of a cluster node
kube_persistentvolume_capacity_bytes
Total capacity of a persistent volume (bytes)
kube_persistentvolume_status_phase
Status of a persistent volume (Bound
kube_persistentvolumeclaim_info
Information about persistent volume claim
kube_persistentvolumeclaim_resource_requests_storage_bytes
The capacity of storage requested by the persistent volume claim
kube_pod_annotations
Kubernetes annotations converted to Prometheus labels
kube_pod_container_resource_limits
The number of requested limit resource by a container
kube_pod_container_resource_limits_cpu_cores
Limit on CPU cores that can be used by the container. (Depecated in ksm 2.0.0)
kube_pod_container_resource_limits_memory_bytes
Limit on the amount of memory that can be used by the container. (Depecated in ksm 2.0.0)
kube_pod_container_resource_requests
The number of requested request resource by a container
kube_pod_container_status_restarts_total
The number of container restarts per container
kube_pod_container_status_running
Describes whether the container is currently in running state
kube_pod_container_status_terminated_reason
Describes the reason the container is currently in terminated state
kube_pod_labels
Kubernetes labels converted to Prometheus labels
kube_pod_owner
Information about the Pod's owner
kube_pod_status_phase
The pods current phase (Pending
kube_replicaset_owner
Information about the ReplicaSet's owner

Node Exporter

Prometheus exporter for hardware and OS metrics exposed by *NIX kernels, written in Go with pluggable metric collectors.
Metric
Description
node_cpu_seconds_total
Seconds the cpus spent in each mode
node_disk_reads_completed
The total number of reads completed successfully
node_disk_reads_completed_total
The total number of reads completed successfully
node_disk_writes_completed
The total number of writes completed successfully
node_disk_writes_completed_total
The total number of writes completed successfully
node_filesystem_device_error
Whether an error occurred while getting statistics for the given device
node_memory_Buffers_bytes
Memory information field Buffers_bytes
node_memory_Cached_bytes
Memory information field Cached_bytes
node_memory_MemAvailable_bytes
Memory information field MemAvailable_bytes
node_memory_MemFree_bytes
Memory information field MemFree_bytes
node_memory_MemTotal_bytes
Memory information field MemTotal_bytes
node_network_transmit_bytes_total
Network device statistic transmit_bytes

Prometheus

Prometheus emits metrics which are used by Kubecost for diagnostic purposes:
Metric
Description
up
Scrape target status
prometheus_target_interval_length_seconds
Amount of time between target scrapes

NVIDIA K8s Device Plugin (GPU)

NVIDIA GPU monitoring support can be explained in more detail on the Kubecost Blog: Monitoring NVIDIA GPU Usage in Kubernetes with Prometheus. The following metrics are consumed:
Metric
Description
DCGM_FI_DEV_GPU_UTIL
GPU utilization