K8s VERSION = v1.18.6
I have deployed the Kubernetes dashboard using the following command and added a privileged user with which I logged into the dashboard.
but not able to see Pods CPU and Memory Utilization graphs are missing Kubernetes dashboard
The Kubernetes Metrics Server is an aggregator of resource usage data in your cluster,
To deploy the Metrics Server
Deploy the Metrics Server with the following command:
kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.3.6/components.yaml
Verify that the metrics-server deployment is running the desired number of pods with the following command.
kubectl get deployment metrics-server -n kube-system
Output
NAME READY UP-TO-DATE AVAILABLE AGE
metrics-server 1/1 1 1 6m
Also you can validate by below command:
kubectl top nodes
to see node cpu utilisation if it works, it should then come up in Dashboard as well.
Resource usage metrics are only available for K8s clusters once Metrics Server has been installed.
Related
I have several nodejs microservices which are running dev namespace which I expose metrics and able to access via http://localhost:9187/metrics.
But when I deploy prometheus server which is running monitoring namespace I received an below error in Targets page.
Get http://1.../metrics: context deadline exceeded.
I assume none of these allow access from the namespace monitoring
so need to add an additional one into the namespace dev to allow the prometheus pod from namespace monitoring to scrape the below pod or what might be the reason of this error?
What is the best way to add netpol to my application to allow prometheus from namespace monitoring?
kubectl get netpol -n dev
myapp-api-dev app.kubernetes.io/instance=myapp-api-dev,app.kubernetes.io/name=oneapihub-api 5h33m
myapp-auth-dev app.kubernetes.io/instance=myapp-auth-dev,app.kubernetes.io/name=oneapihub-auth 56m
myapp-backend-dev app.kubernetes.io/instance=myapp-backend-dev,app.kubernetes.io/name=oneapihub-backend 5h42m
redis app=redis,release=redis 33d
kubectl get pods -n monitoring
NAME READY STATUS RESTARTS AGE
monitoring-prometheus-server-6cc796c4db-hp4rg 2/2 Running 0 2d4h
I guess you have kube-prometheus installed. In this case you need to create custom roles and role bindings to let Prometheus to monitor other namespaces, see here
I have one question about Grafana. How I can use exiting Prometheus deamonset on GKE for Grafana. I do not want to spin up one more Prometheus deployment for just Grafana. I come up with this question after I spin up the GKE cluster. I have checked kube-system namespace and it turns out there is Prometheus deamonset already deployed.
$ kubectl get daemonsets -n kube-system
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
prometheus-to-sd 2 2 2 2 2 beta.kubernetes.io/os=linux 19d
and I would like to use this Prometheus
I have Grafana deployment with helm stable/grafana
$ kubectl get deploy -n dev
NAME READY UP-TO-DATE AVAILABLE AGE
grafana 1/1 1 1 9m20s
Currently, I am using stable/prometheus
prometheus-to-sd is not a Prometheus instance, but a component that allows getting data from Prometheus to GCP's stackdriver. More info here: https://github.com/GoogleCloudPlatform/k8s-stackdriver/tree/master/prometheus-to-sd
If you'd like to have Prometheus you'll have to run it separately. (prometheus-operator helm chart is able to deploy whole monitoring stack to your GKE cluster easily (which my or may not be exactly what you need here).
Note that recent Grafana versions come with Stackdriver datasource, which allows you to query Stackdriver directly from Grafana (if all metrics you need are or can be in Stackdriver).
I've got some deployment on a basic k8s cluster withouth defining requests and limits.
Is there any way to check how much the pod is asking for memory and cpu?
Depending on whether the metrics-server is installed in your cluster, you can use:
kubectl top pod
kubectl top node
After installing the Metrics Server, you can query the Resource Metrics API directly for the resource usages of pods and nodes:
All nodes in the cluster:
kubectl get --raw=/apis/metrics.k8s.io/v1beta1/nodes
A specific node:
kubectl get --raw=/apis/metrics.k8s.io/v1beta1/nodes/{node}
All pods in the cluster:
kubectl get --raw=/apis/metrics.k8s.io/v1beta1/pods
All pods in a specific namespace:
kubectl get --raw=/apis/metrics.k8s.io/v1beta1/namespaces/{namespace}/pods
A specific pod:
kubectl get --raw=/apis/metrics.k8s.io/v1beta1/namespaces/{namespace}/pods/{pod}
The API returns you the absolute CPU and memory usages of the pods and nodes.
From this, you should be able to figure out how much resources each pod consumes and how much free resources are left on each node.
I have Kubernetes v1.12.1 installed on my cluster.
I downloaded the metrics-server from the following repo:
https://github.com/kubernetes-incubator/metrics-server
and then run the following command:
kubectl create -f metrics-server/deploy/1.8+/
and then I tried autoscaling a deployment using:
kubectl autoscale deployment example-app-tier --min 1 --max 3 --cpu-percent 70 --spacename example
but the targets here shows unkown/70%
kubectl get hpa --spacename example
NAMESPACE NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
example example-app-tier Deployment/example-app-tier <unknown>/70% 1 3 1 3h35m
and when I try running the kubectl top nodes or pods I get an error saying:
error: Metrics not available for pod default/pi-ss8j6, age: 282h48m5.334137739s
So I'm looking for any tutorial that helps me step by step enabling autoscaling using metrics-server or Prometheus (and not Heapster as it is deprecated and will not be supported anymore)
Thank you!
you need to register your metrics server with API server and make sure they communicate.
https://github.com/kubernetes/kubernetes/issues/59438
If it is done already , you need to check the help for the kubectl top command in your version of k8s , the command may default to use heapster , and you may need to tell it to use the new service instead.
https://github.com/kubernetes/kubernetes/pull/56206
from the help command it looks like it is not yet ported to new metric server and still looking for heapster by default.
C02W84XMHTD5:tmp iahmad$ kubectl top node --help
Display Resource (CPU/Memory/Storage) usage of nodes.
The top-node command allows you to see the resource consumption of nodes.
Aliases:
node, nodes, no
Examples:
# Show metrics for all nodes
kubectl top node
# Show metrics for a given node
kubectl top node NODE_NAME
Options:
--heapster-namespace='kube-system': Namespace Heapster service is located in
--heapster-port='': Port name in service to use
--heapster-scheme='http': Scheme (http or https) to connect to Heapster as
--heapster-service='heapster': Name of Heapster service
-l, --selector='': Selector (label query) to filter on, supports '=', '==', and '!='.(e.g. -l
key1=value1,key2=value2)
Usage:
kubectl top node [NAME | -l label] [options]
Use "kubectl options" for a list of global command-line options (applies to all commands).
note: I am using 1.10 , maybe in your version , the options are different
I am running Kubernetes cluster 1.5.3 on IBM Bluemix, I would like to get the pod's resources utilization (memory and cpu) as raw data points. Is Kubernetes expose such API?
➜ bluemix git:(master) ✗ k cluster-info
Kubernetes master is running at https://x:x
Heapster is running at
https://x:x/api/v1/proxy/namespaces/kube-system/services/heapster
KubeDNS is running at
https://x:x/api/v1/proxy/namespaces/kube-system/services/kube-dns
kubernetes-dashboard is running at
https://x:x/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard
You can use heapster or kube-state-metrics to achieve this. In many kubernetes deployments heapsteris already installed. Both can be easily deployed in-cluster.