Could not find how can I obtain information about memory consumption on kubernetes node with kubernetes-client library in Python. I know how to obtain this information with kubectl command.
Could you provide me with a piece of code how can I do this via the lib?
Thank you.
After a long investigation and some good advice (use --v=10 flag in kubectl command) from the kubernetes-client repository on GitHub I managed to find two resources where I can fetch CPU/memory consumption metrics that I was interested in:
https://your.kube-url.com/api/v1/namespaces/kube-system/services/http:heapster:/proxy/apis/metrics/v1alpha1/namespaces/default/pods
https://your.kube-url.com/api/v1/namespaces/kube-system/services/http:heapster:/proxy/apis/metrics/v1alpha1/nodesI couldn't find any code examples how to do the same with kubernetes-client library that is why will build my own wrappers.
kubernetes-client contains pieces of code that you need:
from kubernetes import client, config
def main():
# Configs can be set in Configuration class directly or using helper
# utility. If no argument provided, the config will be loaded from
# default location.
config.load_kube_config()
v1 = client.CoreV1Api()
print("Listing pods with their IPs:")
ret = v1.list_pod_for_all_namespaces(watch=False)
for i in ret.items:
print("%s\t%s\t%s" %
(i.status.pod_ip, i.metadata.namespace, i.metadata.name))
if __name__ == '__main__':
main()For get pod metrics, try this beta class: V2beta2PodsMetricStatus
According to k8s documentation Your metrics supposed to be:
kube_pod_container_resource_limits_memory_bytes
kube_pod_container_resource_requests_memory_bytes