I'm using mongodb-exporter for store/query the metrics via prometheus. I have set up a custom metric server and storing values for that .
That is the evidence of prometheus-exporter and custom-metric-server works compatible .
Query:
kubectl get --raw "/apis/custom.metrics.k8s.io/v1beta1/namespaces/monitoring/pods/*/mongodb_mongod_wiredtiger_cache_bytes"
Result:
{"kind":"MetricValueList","apiVersion":"custom.metrics.k8s.io/v1beta1","metadata":{"selfLink":"/apis/custom.metrics.k8s.io/v1beta1/namespaces/monitoring/pods/%2A/mongodb_mongod_wiredtiger_cache_bytes"},"items":[{"describedObject":{"kind":"Pod","namespace":"monitoring","name":"mongo-exporter-2-prometheus-mongodb-exporter-68f95fd65d-dvptr","apiVersion":"/v1"},"metricName":"mongodb_mongod_wiredtiger_cache_bytes","timestamp":"TTTTT","value":"0"}]}
In my case when I create a hpa for this custom metrics from mongo exporter, hpa return this error to me :
failed to get mongodb_mongod_wiredtiger_cache_bytes utilization: unable to get metrics for resource mongodb_mongod_wiredtiger_cache_bytes: no metrics returned from resource metrics API
What is the main issue on my case ? I have checked all configs and flow is looking fine, but where is the my mistake .
Help
Thanks :)
In comments you wrote that you have enabled external.metrics, however in original question you had issues with custom.metrics
In short:
metrics supports only basic metric like CPU or Memory.
custom.metrics allows you to extend basic metrics to all Kubernetes objects (http_requests, number of pods, etc.).
external.metrics allows to gather metrics which are not Kubernetes objects:
External metrics allow you to autoscale your cluster based on any
metric available in your monitoring system. Just provide a metric
block with a name and selector, as above, and use the External metric
type instead of Object
For more detailed description, please check this doc.
Minikube
To verify if custom.metrics are enabled you need to execute command below and check if you can see any metrics-server... pod.
$ kubectl get pods -n kube-system
...
metrics-server-587f876775-9qrtc 1/1 Running 4 5d1h
Second way is to check if minikube have enabled metrics-server by
$ minikube addons list
...
- metrics-server: enabled
If it is disabled just execute
$ sudo minikube addons enable metrics-server
✅ metrics-server was successfully enabled
GKE
Currently at GKE heapster and metrics-server are turn on as default but custom.metrics are not supported by default.
You have to install prometheus adapter or stackdriver.
Kubeadm
Kubeadm do not include heapster or metrics server at the beginning. For easy installation, you can use this YAML.
Later you have to install prometheus adapter.
Apply custom.metrics
It's the same for Minikube, Kubeadm, GKE.
Easiest way to apply custom.metrics is to install prometheus adapter via Helm.
After helm installation you will be able to see note:
NOTES:
my-release-prometheus-adapter has been deployed.
In a few minutes you should be able to list metrics using the following command(s):
kubectl get --raw /apis/custom.metrics.k8s.io/v1beta1
As additional information, you can use jq to get more user friendly output.
kubectl get --raw /apis/custom.metrics.k8s.io/v1beta1 | jq .
Related
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.
I am currently working with Minikube and trying to set up a Grafana dashboard using Influxdb for the monitoring of my cluster.
I found several tutorials and used this one: https://github.com/kubernetes-retired/heapster/blob/master/docs/influxdb.md as I found many tutorials redirecting to the .yaml here: https://github.com/kubernetes-retired/heapster/tree/master/deploy/kube-config/influxdb
I just modified those .yaml a bit, switching all "extensions/v1beta1" into "apps/v1" and setting the type for the grafana service to NodePort.
But when I am checking the creation of the services and deployments grafana, influxdb and heapster are nowhere to be found.
kubectl deployments created:
deployments and services not found:
I found this may be because the images I am using are no longer available so I tried using other images like
image: gcr.io/google_containers/heapster-grafana-amd64:v4.0.2 for grafana
image: gcr.io/google_containers/heapster-influxdb-amd64:v1.1.1 for influx-db
but nothing change.
Grafana, influxdb and heapster are created in kube-system namespace. So you can find them using:
kubectl get pods -n kube-system
kubectl get svc -n kube-system
kubectl get deployments -n kube-system
Also the git repository which you are using in archived, I would advice not to use it. Heapster is deprecated in favor of metrics server.
I have deployed application on kubernetes cluster and for monitoring using prometheus and grafana. For kubernetes pods monitoring using Grafana dashboard: Kubernetes cluster monitoring (via Prometheus) https://grafana.com/grafana/dashboards/315
I had imported the dashboard using id 315 and its reflecting without pod name and containers name instead getting pod_name . Can anyone pls help how can i get pod name and container name in dashboard.
Provided tutorial was updated 2 years ago.
Current version of Kubernetes is 1.17. As per tags, tutorial was tested on Prometheus v. 1.3.0, Kubernetes v.1.4.0 and Grafana v.3.1.1 which are quite old at the moment.
In requirements you have statement:
Prometheus will use metrics provided by cAdvisor via kubelet service (runs on each node of Kubernetes cluster by default) and via kube-apiserver service only.
In Kubernetes 1.16 metrics labels like pod_name and container_name was removed. Instead of that you need to use pod and container. You can verify it here.
Any Prometheus queries that match pod_name and container_name labels (e.g. cadvisor or kubelet probe metrics) must be updated to use pod and container instead.
Please check this Github Thread about dashboard bug for more information.
Solution
Please change pod_name to pod in your query.
Kubernetes version v1.16.0 has Removed cadvisor metric labels pod_name and container_name to match instrumentation guidelines. Any Prometheus queries that match pod_name and container_name labels (e.g. cadvisor or kubelet probe metrics) must be updated to use pod and container instead.
You can check:
https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG/CHANGELOG-1.16.md#metrics-changes
I am trying to run horizontal pod autoscaler in kubernetes, want to auto scale my pods based on cpu default metrics.
For that I installed metrics server after that I can see metrics - metrics.k8s.io/v1beta1 (kubectl api-versions). Then I tried deploying prometheus-operator. But upon runnning kubectl top node/pod - error I am getting is
error: Metrics not available for pod default/web-deployment-658cd556f8-ztf6c, age: 35m23.264812635s" and "error: metrics not available yet"
Do I need to run heapster?
#batman, as you said enabling minikube metrics-server add-on is enough in case of using minikube.
In general case, if using metrics-server you edited the metrics server deployment by running: kubectl edit deployment metrics-server -n kube-system
Under spec: -> containers: add following flag:
spec:
containers:
- command:
- /metrics-server
- --kubelet-insecure-tls
As described on metrics-server github:
--kubelet-insecure-tls: skip verifying Kubelet CA certificates. Not recommended for production usage, but can be useful in test clusters
with self-signed Kubelet serving certificates.
Here you can find tutorial describing HPA using custom metrics and Prometheus.
In minikube, we have to enable metrics-server add-on.
minikube addons list
minikube addons enable metrics-server
Then create hpa, deployment and boom!!
Anyone has done autoscaling based on custom metrics? like based on no. of http requests?
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