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Sina Tavakkol
Sina Tavakkol

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40 Days Of Kubernetes (36/40)

#kubernetes #40daysofkubernetes

Day 36/40

Kubernetes Logging and Monitoring

Video Link
@piyushsachdeva
Git Repository
My Git Repo

Because we will start to troubleshooting some issues like:

  • Application failures
  • Control-plane issues
  • Worker nodes issues
  • Cluster components issues And so on, we need to know about how logging or monitoring is in Kubernetes.

As we discussed, we know that Kubernetes doesn't come with an embedded monitoring tools, so we use metrics-server as add-on for getting some exposed metrics from our cluster.

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml
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There's also another daemon running on nodes, named cAdvisor which is collecting and aggregating the metrics from container runtime and then publish them to the kubelet.

But because only kubelet has authority to expose the data, and collect pod data as well, it sends them to the metrics-server.

metrics-server with the help of metrics-api can expose the data to api-server and when we call kubectl top we can reach out the data.

Note we may face an error when we apply the metrics-server manifest, so let's troubleshoot and fix the issue:

root@sinaops:~# kubectl get pods -n kube-system
NAME                              READY   STATUS    RESTARTS      AGE
coredns-7db6d8ff4d-2gdsx          1/1     Running   0             22h
coredns-7db6d8ff4d-tck9c          1/1     Running   0             22h
etcd-sinaops                      1/1     Running   0             22h
kube-apiserver-sinaops            1/1     Running   0             22h
kube-controller-manager-sinaops   1/1     Running   0             22h
kube-proxy-5t5bv                  1/1     Running   0             20h
kube-proxy-gt7vh                  1/1     Running   0             22h
kube-scheduler-sinaops            1/1     Running   0             22h
metrics-server-7ffbc6d68-9rw8z    0/1     Running   3 (18m ago)   22m
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As we can see the metrics-server isn't ready yet.

NAME                              READY
metrics-server-7ffbc6d68-9rw8z    0/1
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let's take a look at its logs:

...
E0827 16:09:23.312687       1 scraper.go:149] "Failed to scrape node" err="Get \"https://{JOLLY-NET-IP}:10250/metrics/resource\": tls: failed to verify certificate: x509: cannot validate certificate for {JOLLY-NET-IP} because it doesn't contain any IP SANs" node="jolly-net"
I0827 16:09:23.331929       1 server.go:191] "Failed probe" probe="metric-storage-ready" err="no metrics to serve"
...
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And:

root@sinaops:~# kubectl describe pod metrics-server-7ffbc6d68-9rw8z -n kube-system
...
Events:
  Type     Reason     Age                  From               Message
  ----     ------     ----                 ----               -------
  Normal   Scheduled  26m                  default-scheduler  Successfully assigned kube-system/metrics-server-7ffbc6d68-9rw8z to jolly-net
  Normal   Pulling    26m                  kubelet            Pulling image "registry.k8s.io/metrics-server/metrics-server:v0.7.1"
  Normal   Pulled     24m                  kubelet            Successfully pulled image "registry.k8s.io/metrics-server/metrics-server:v0.7.1" in 1.301s (2m22.567s including waiting). Image size: 68346568 bytes.
  Normal   Killing    23m (x2 over 23m)    kubelet            Container metrics-server failed liveness probe, will be restarted
  Warning  Unhealthy  23m (x4 over 23m)    kubelet            Readiness probe failed: Get "https://10.85.0.5:10250/readyz": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
...  
  Warning  Unhealthy  77s (x143 over 22m)  kubelet            Readiness probe failed: HTTP probe failed with statuscode: 500

...
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So we're facing error code 500, because

failed to verify certificate: x509: cannot validate certificate for {JOLLY-NET-IP} because it doesn't contain any IP SANs" node="jolly-net"
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As it mentioned in the github repository of metrics-server,

Kubelet certificate needs to be signed by cluster Certificate Authority (or disable certificate validation by passing --kubelet-insecure-tls to Metrics Server)
And we are going to edit the deployment.

root@sinaops:~# kubectl get deployment -n kube-system
NAME             READY   UP-TO-DATE   AVAILABLE   AGE
coredns          2/2     2            2           22h
metrics-server   0/1     1            0           31m
root@sinaops:~# kubectl edit deployment metrics-server -n kube-system
deployment.apps/metrics-server edited
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And in the spec of containers, add the option --kubelet-insecure-tls, then save and exit:

...
    spec:
      containers:
      - args:
        - --kubelet-insecure-tls
        - --cert-dir=/tmp
        - --secure-port=10250
        - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        - --kubelet-use-node-status-port
        - --metric-resolution=15s
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Now, we are ready :)

root@sinaops:~# kubectl get pods -n kube-system -w
NAME                              READY   STATUS    RESTARTS   AGE
coredns-7db6d8ff4d-2gdsx          1/1     Running   0          22h
coredns-7db6d8ff4d-tck9c          1/1     Running   0          22h
etcd-sinaops                      1/1     Running   0          22h
kube-apiserver-sinaops            1/1     Running   0          22h
kube-controller-manager-sinaops   1/1     Running   0          22h
kube-proxy-5t5bv                  1/1     Running   0          20h
kube-proxy-gt7vh                  1/1     Running   0          22h
kube-scheduler-sinaops            1/1     Running   0          22h
metrics-server-8455d49879-5mqr2   1/1     Running   0          2m46s
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We have to wait some time to it collects the metrics:

root@sinaops:~# kubectl top nodes
error: Metrics API not available
root@sinaops:~# kubectl top pods
error: Metrics API not available
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