Network Traffic Cost Allocation
This document summarizes Kubecost network cost allocation, how to enable it, and what it provides.
When this feature is enabled, Kubecost gathers network traffic metrics in combination with provider-specific network costs to provide insight on network data sources as well as the aggregate costs of transfers.
Enabling Network Costs
To enable this feature, set the following parameter in values.yaml during Helm installation:
You can view a list of common config options here. If you are integrating with an existing Prometheus, you can set
networkCosts.prometheusScrape=true and the network costs service should be auto-discovered.
To estimate the resources required to run Kubecost network cost, you can view our benchmarking metrics.
Note: network cost, which are disabled by default, run as a privileged pod to access the relevant networking kernel module on the host machine.
Kubernetes Network Traffic Metrics
The primary source of network metrics come from a daemonset pod hosted on each of the nodes in a cluster. Each daemonset pod uses
hostNetwork: true such that it can leverage an underlying kernel module to capture network data. Network traffic data is gathered and the destination of any outbound networking is labeled as:
- Internet Egress: Network target destination was not identified within the cluster.
- Cross Region Egress: Network target destination was identified, but not in the same provider region.
- Cross Zone Egress: Network target destination was identified, and was part of the same region but not the same zone.
These classifications are important because they correlate with network costing models for most cloud providers. To see more detail on these metric classifications, you can view pod logs with the following command:
kubectl logs kubecost-network-costs-<pod-identifier> -n kubecost
This will show you top source and destination IP addresses and bytes transferred on the node where this pod is running. To disable logs, you can set the helm value
Overriding traffic classifications
For traffic routed to addresses outside of your cluster but inside your VPC, Kubecost supports the ability to directly classify network traffic to a particular IP address or CIDR block. This feature can be configured in your values.yaml under
networkCosts.config. Classifications are defined as follows:
- in-zone - a list of destination addresses/ranges that will be classified as an in-zone traffic, which is free for most providers.
- in-region - a list of addresses/ranges that will be classified as the same region between source and destinations but different zones.
- cross-region – a list of addresses/ranges that will be classified as different region from the source regions
To verify this feature is functioning properly, you can complete the following steps:
- Confirm the
kubecost-network-costspods are Running. If these pods are not in a Running state, kubectl describe them and/or view their logs for errors.
kubecost-networkingtarget is Up in your Prometheus Targets list. View any visible errors if this target is not Up. You can further verify data is being scrapped by the presence of the
kubecost_pod_network_egress_bytes_totalmetric in Prometheus.
- Verify Network Costs are available in your Kubecost Allocation view. View your browser’s Developer Console on this page for any access/permissions errors if costs are not shown.
Failed to locate network pods – Error message displayed when the Kubecost app is unable to locate the network pods, which we search for by a label that includes our release name. In particular, we depend on the label
app=<release-name>-network-coststo locate the pods. If the app has a blank release name this issue may happen.
Resource usage is a function of unique src and dest IP/port combinations. Most deployments use a small fraction of a CPU and it is also ok to have this pod CPU throttled. Throttling should increase parse times but should not have other impact. The following Prometheus metrics are available in v15.3 for determining scale and the impact of throttling:
kubecost_network_costs_parsed_entries is the last number of conntrack entries parsed
kubecost_network_costs_parse_time is the last recorded parse time
- Today this feature is supported on Unix-based images with conntrack
- Actively tested against GCP, AWS, and Azure
- Daemonsets have shared IP addresses on certain clusters