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Kube eagle

MIT licensed Docker Repository on Quay

Kube eagle is a prometheus exporter which exports various metrics of kubernetes pod resource requests, limits and it's actual usages. It was created with the purpose to provide a better overview of your kubernetes cluster resources, so that you can optimize the resource allocation. You can easily build, or use our default grafana dashboard which will help you to achieve this goal:

Grafana Dashboard for Kubernetes resource monitoring

Setup

Simply deploy a pod which runs kube-eagle inside the kubernetes cluster you would like to monitor. We recommend using our provided helm chart to deploy kube eagle in your cluster:

Kube eagle helm chart: https://github.com/google-cloud-tools/kube-eagle-helm-chart

Required permissions

Make sure the pod has a service account attached that has the required permissions. You can use our helm chart which is capable of creating the service account along with the required ClusterRole and ClusterRoleBinding.

Environment variables

Variable name Description Default
TELEMETRY_HOST Host to bind socket on for the prometheus exporter 0.0.0.0
TELEMETRY_PORT Port to listen on for the prometheus exporter 8080
METRICS_NAMESPACE Prefix of exposed prometheus metrics eagle
IS_IN_CLUSTER Whether to use in cluster communication or to look for a kubeconfig in home directory true
LOG_LEVEL Logger's log granularity (debug, info, warn, error, fatal, panic) info

Configure Grafana dashboard

  1. Import the dashboard: https://grafana.com/dashboards/9871 (Dashboard ID 9871)

  2. Configure Dashboard variables: Open the Kube Eagle dashboard and click the gear icon at the top to configure the dashboard. On the left menu you should see a setting called "Variables". Since we don't have an explicit label for nodepools (yet) we rely on given node names which usually carry the nodepool name in it. Thus provide the full "node name prefix" including the nodepool name (e. g. gke-brawlstats-k8s-highmem-.* where as highmem is the nodepool name).

Exposed metrics

Metric name Description
eagle_node_resource_allocatable_cpu_cores Allocatable CPU cores in Kubernetes
eagle_node_resource_allocatable_memory_bytes Allocatable RAM in Kubernetes in bytes
eagle_node_resource_limits_cpu_cores Total limit CPU cores of all specified pod resources on a node
eagle_node_resource_limits_memory_bytes Total limit of RAM bytes of all specified pod resources on a node
eagle_node_resource_requests_cpu_cores Total request of CPU cores of all specified pod resources on a node
eagle_node_resource_requests_memory_bytes Total request of RAM bytes all specified pod resources on a node
eagle_node_resource_usage_cpu_cores Total number of used CPU cores on a node
eagle_node_resource_usage_memory_bytes Total number of RAM bytes used on a node
eagle_pod_container_resource_limits_cpu_cores Limit of CPU cores set for a specific container
eagle_pod_container_resource_limits_memory_bytes Limit of RAM bytes set for a specific container
eagle_pod_container_resource_requests_cpu_cores Requested CPU cores set for a specific container
eagle_pod_container_resource_requests_memory_bytes Requested RAM bytes set for a specific container
eagle_pod_container_resource_usage_cpu_cores CPU cores in use by a specific container
eagle_pod_container_resource_usage_memory_bytes RAM bytes in use by a specific container

How does it work

Kube eagle talks to the kubernetes master(s) using the official kubernetes go client. Every time the /metrics endpoint is hit Kube Eagle sends requests to the k8s masters to get pod & node resource objects as well as the pod & node usage list. Kube eagle aggregates and brings together the collected data so that they can be attached as prometheus labels. This way it's easy to create grafana dashboards which help you to optimize your resource allocations.

License

MIT License

Copyright (c) 2019

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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