K3s

K3s is a lightweight Kubernetes distribution created by Rancher Labs, and it is fully certified by the Cloud Native Computing Foundation (CNCF). K3s is highly available and production-ready. It has a very small binary size and very low resource requirements.

You can monitor the following Kubernetes components:

• K3s API Server
• K3s CoreDNS / KubeDNS
• K3s Kube State (Not installed by default in the K3s Cluster)
• K3s Metric Server (Not installed by default in the K3s Cluster)

With Kubernetes monitoring, you can also monitor Docker containers.

Prerequisites

Install Kube State and Metrics Server manually to fetch and monitor metrics.

To deploy Kube State, get the latest version of the deployment YAML file and compatibility matrix from GitHub.

To deploy Metrics Server, get the latest version of the deployment YAML file and compatibility matrix from GitHub.

Configure Kubernetes

Step 1: Prerequisites

1. Install kube-state metrics.

   • Use the right version of kube state YAML for the deployment according to the Kubernetes version of the cluster.
   • When deployed, set the kube state service Cluster IP with an IP Address. The agent requires the address to fetch the metrics from kube state. If Cluster IP is not set (Shown as NONE) modify the service.yaml file and remove clusterIP: None.

   Modified service.yaml file (version 1.9) example:

       apiVersion: v1
       kind: Service
       metadata:
         labels:
           app.kubernetes.io/name: kube-state-metrics
           app.kubernetes.io/version: 1.9.7
         name: kube-state-metrics
         namespace: kube-system
       spec:
         ports:
         - name: http-metrics
           port: 8080
           targetPort: http-metrics
         - name: telemetry
           port: 8081
           targetPort: telemetry
         selector:
           app.kubernetes.io/name: kube-state-metrics
       

2. (Optional) To monitor using the metric server, deploy Metrics Server.

       kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.3.7/components.yaml
       

3. Perform more configurations depending on the environment:

   • For AKS, installing kube-dns patch.
   • For GKE, enabling RBAC.
   • For On-Prem, patch.

Step 2: Install kube-state metrics

To see if kube-state-metrics is installed in the cluster, run the following command on the controller nodes:

kubectl get svc --all-namespaces | grep kube-state-metrics | grep -v grep

The following sample output confirms that kube-state-metrics is already installed in the cluster:

kube-system kube-state-metrics ClusterIP 10.96.186.34 <none> 8080/TCP,8081/TCP 19d

To install kube-state metrics, do the following on the Kubernetes controller nodes:

1. Clone the Kubernetes kube-state-metrics Github repo.
2. Run kubectl apply -f kube-state-metrics/kubernetes/.

git clone https://github.com/kubernetes/kube-state-metrics.git
kubectl apply -f kube-state-metrics/kubernetes/

Step 3: Additional configurations

Additional configurations depend on the Kubernetes environment:

• Azure AKS
• Google GKE

Azure AKS: Install kube-dns patch

For an Azure AKS environment, you must apply a patch. This patch is a DNS Service patch for the Azure (AKS) environment.

• By default, the sidecar container is disabled.
• The patch is required to export kube-dns metrics.

To install the kube-dns patch for the Azure (AKS) environment:

1. Copy the provided Kube dns patch script to kube-dns-metrics-patch.yaml.
2. Execute the command on the controller nodes to apply the patch:

kubectl patch deployment -n kube-system kube-dns-v20 --patch "$(cat kube-dns-metrics-patch.yaml)"

The following is the Kube dns patch script that you save as kube-dns-metrics-patch.yaml.

spec:
  template:
    spec:
      containers:
      - name: kubedns
        env:
        - name: PROMETHEUS_PORT
          value: "10055"
      - name: sidecar
        image: k8s.gcr.io/k8s-dns-sidecar-amd64:1.14.10
        livenessProbe:
          httpGet:
            path: /metrics
            port: 10054
            scheme: HTTP
          initialDelaySeconds: 60
          time-outSeconds: 5
          successThreshold: 1
          failureThreshold: 5
        args:
        - --v=2
        - --logtostderr
        - --probe=kubedns,127.0.0.1:10053,kubernetes.default.svc.cluster.local
        - --probe=dnsmasq,127.0.0.1:53,kubernetes.default.svc.cluster.local
        ports:
        - containerPort: 10054
          name: metrics
          protocol: TCP
        resources:
          requests:
            memory: 20Mi
            cpu: 10m

Execute the following command in the controller nodes to apply a patch:

kubectl patch deployment -n kube-system kube-dns-v20 --patch "$(cat kube-dns-metrics-patch.yaml)"

AWS, Google, and on-premise environments do not require any patches to collect the DNS metrics.

Google GKE: Enable RBAC

For a Google GKE environment, you must grant permissions to create roles in Kubernetes. To grant permission to create roles, execute the following command:

kubectl create clusterrolebinding cluster-admin-binding
    --clusterrole cluster-admin
    --user $(gcloud config get-value account)

This command binds the clusterrole and cluster-admin to the current user.

Step 4: (Optional) Perform Optional Configuration

On-Premise: Apply patches

If patching is required on on-premise nodes, do the following:

1. Create a user account in all nodes of the cluster to collect packages information and install patches.
2. Execute the following scripts on the Kubernetes nodes. The script depends on the operating system used to create the cluster.

The following is an example Ubuntu script:

Configure()
{
            mkdir /opt/opsramp/k8s/patch/{tmp,log} -p  > /dev/null 2>&1
            useradd opskube -s /bin/bash -d /opt/opsramp/k8s/patch/  > /dev/null 2>&1
            usermod -p '$6$dBsN2u5SuC.Niy.C$HxPpbXRZcaQpHui8D3QZshhdJz57xhU1roE12U4KEmlyCNiBNzcGRbrNI7.DREwsf18JUAMT27/VaZmr34Bul.' opskube > /dev/null 2>&1
            if [ -d /etc/sudoers.d ]
            then
                echo "opskube ALL=(ALL) NOPASSWD: /opt/opsramp/k8s/patch/" > /etc/sudoers.d/opskube
                chmod 0440 /etc/sudoers.d/opskube
            else
                sed -i '$ a opskube ALL=(ALL) NOPASSWD: /opt/opsramp/k8s/patch/' /etc/sudoers > /dev/null 2>&1
            fi

            dpkg -s python-apt | grep Status | grep installed
            STATUS1=$?
            if [ $STATUS1 -eq 0 ]
            then
                echo "python-apt already installed! No changes required!"
            else
                apt-get update > /dev/null 2>&1
                apt-get -y install python-apt > /dev/null 2>&1
            fi  

}

The following is an example CentOS script:

Configure()
{
            mkdir /opt/opsramp/k8s/patch/{tmp,log} -p  > /dev/null 2>&1
            useradd opskube -s /bin/bash -d /opt/opsramp/k8s/patch/  > /dev/null 2>&1
            usermod -p '$6$dBsN2u5SuC.Niy.C$HxPpbXRZcaQpHui8D3QZshhdJz57xhU1roE12U4KEmlyCNiBNzcGRbrNI7.DREwsf18JUAMT27/VaZmr34Bul.' opskube > /dev/null 2>&1
            if [ -d /etc/sudoers.d ]
            then
                echo "opskube ALL=(ALL) NOPASSWD: /opt/opsramp/k8s/patch/" > /etc/sudoers.d/opskube
                chmod 0440 /etc/sudoers.d/opskube
            else
                sed -i '$ a opskube ALL=(ALL) NOPASSWD: /opt/opsramp/k8s/patch/' /etc/sudoers > /dev/null 2>&1
            fi

            rpm -qa | grep rpm-python
            STATUS1=$?
            if [ $STATUS1 -eq 0 ]
            then
                echo "rpm-python already installed! No changes required!"
            else
                yum  -y install rpm-python > /dev/null 2>&1
            fi

}

Configure OpsRamp

Step 1: Configure and Install K3S Integration

1. From All Clients, select a client.

2. Go to Setup > Integrations and Apps.

3. If there are apps/integrations already installed, it will redirect to the INSTALLED INTEGRATIONS page where all the installed integrations/apps are displayed. Click +ADD and search for K3s on the AVAILABLE INTEGRATIONS AND APPS page. Also you can use the All Categories dropdown list to search. If there are no installed apps, it will navigate to the AVAILABLE INTEGRATIONS AND APPS page.

4. Click +ADD on the K3s tile.

5. Enter the following details:

   • Name: Name for the integration.
   • Deployment type: On-prem or Cloud (AWS, GKE, and AKS)
   • Container Engine: Docker or ContainerD. Primarily, Docker is used. ContainerD is used for K3s integration.
     
     

6. Click on NEXT.

Step 2: Deploy the agent on a K3s node

1. Copy the YAML content and paste to a new file in kube-controller (Example file name: opsramp-agent-kubernetes.yaml)

2. Execute the command kubectl apply -f opsramp-agent-kubernetes.yaml in kube-controller.

Deploy only K8s agent in the node that belongs to the Kubernetes cluster, not the Agent installed using pkg (deb/rpm). If a regular agent (non-containerized agent) is already running in the worker nodes of the Kubernetes cluster, uninstall that agent using the pkg uninstall commands (dpkg -P opsramp-agent OR rpm -e opsramp-agent).

Environment Variables in an agent YAML file

• You can adjust the following environment variable to change the Log Level of the agent:

    - name: LOG_LEVEL
      value: "warn"
    

• Worker Agent: This Daemonset is responsible for collecting System Performance Metrics, Container Metrics (Docker Or ContainerD), Kubelet, and all the container app metrics.

• Master Agent: This deployment is responsible for collecting k3s-apiserver, kss-kube-state, k3s-metrics-server, k3s-coreDNS / kubeDNS metrics.

Connecting Agents using a proxy

Use the following environment variables:

CONN_MODE=proxy
PROXY_SERVER=<ProxyServerIP>
PROXY_PORT=<ProxyPort>

If the proxy server needs authentication, set the following credentials or else skip setting the below environment variables.

PROXY_USER=<User>
PROXY_PASSWORD=<Password>

Step 3: Applying Monitoring Templates and Creating Device Management Policy

1. Apply the appropriate Kubernetes template on the Integration resource (cluster resource) that is created after the deployment of the agent YAML file. Apply the Kubernetes template only on the Integration resource, not on the worker nodes.
2. Apply the Docker Host Monitoring template and Kubelet Template on each worker agents created under the Integration resource in the application. Alternatively, you can also create a Device Management Policy to do Step 1 and Step 2.

Step 4: (Optional) Configuring Docker and Kubernetes event

Configure Docker Events

Docker events are by default disabled in the agent deployment YAML file. The agent supports the following three docker events by default:

• Start
• Kill
• Oom (Out of Memory)

To enable the Docker events, change the DOCKER_EVENTS environment variable to TRUE.

Disabled by Default

- name: DOCKER_EVENTS
  value: "FALSE"

Enabled

- name: DOCKER_EVENTS
  value: "TRUE"

For agent versions 8.0.1-1 and above, the Docker events are sent as monitoring alerts. For the older versions of agent, the Docker events are sent as maintenance alerts to the OpsRamp alert browser.

Configure Kubernetes Events

OpsRamp Agent can forward the Kubernetes events that are generated in the cluster.

By default, this feature is disabled in the agent deployment YAML file. To enable, change the K8S_EVENTS environment variable to TRUE.

Disabled by Default

- name: K8S_EVENTS
  value: "FALSE"

Enabled

- name: K8S_EVENTS
  value: "TRUE"

By default, the agent forwards all the Kubernetes events without making any updates. To forward only selected events, you must edit the kube events config map in the YAML file.

The events are categorized into the following three types:

• Node
• Pod
• Other

To opt-out of any of these events, remove the event from the agent deployment YAML file.

To add an event that is not supported, add the event (Kube Event Reason) under the appropriate category. If the reason matches with the actual Kubernetes event reason, events are forwarded as alerts.

For agent versions 8.0.1-1 and above, the Kubernetes events are sent as monitoring alerts. For the older versions of agent, the Kubernetes events are sent as maintenance alerts to the OpsRamp alert browser.

By default, all events are converted as Warning alerts.

To forward any events with a different alert state, change the event name followed by alert state (Critical/Warning), as shown below.

pod:
  - Failed:Critical
  - InspectFailed:Warning
  - ErrImageNeverPull
  - Killing
  

Events supported by default

List of Metrics

View the list of metrics with description applicable to the following monitors: k3s-apiserver, k3s-kube-state, k3s-metrics-server, k3s-coreDNS / kubeDNS.

For complete details, view List of Metrics.

Next steps

After a discovery profile is created:

• View the integration, go to Infrastructure > Resources.
• Assign monitoring templates to the resource.
• Validate that the resource was successfully added to OpsRamp.

Frequently Asked Questions

Will the agents deploy automatically when a new node is attached to the Kubernetes cluster?

Yes, worker agents are deployed using a daemonset. As a result, when a new node is joined/attached to the cluster the worker agent gets automatically deployed.

What happens when the pod having the agent is deleted?

A new pod with the agent is deployed automatically by the Kubernetes scheduler.

Does failure of an agent in one node affect the agents in other nodes?

No. All agents work independently. As a result, if one agent is not behaving properly then the impact is limited only to that agent.

What happens if the agent container in the pod crashes or gets deleted?

The agent restarts and the monitoring resumes. Only in a rare scenario, the metrics for an iteration or two is missed.

Are configuration update inside the container (by logging into the agent container) applied to the agent?

No. Any configuration update inside the agent container does not impact the running agent. All such configuration updates must be performed using config maps and applied again.

Will I get metrics while the agent is getting updated?

Agent update completes in seconds and when the agents are up with the new version, monitoring starts again and all monitoring frequencies are set accordingly. Only in a rare scenario, one iteration of monitoring is missed.

What is the default Log Level for agents that are being deployed?

The Default Log Level is Warning.

Can a node have more than one agent installed?

No, only one worker agent is installed per node, and one master agent installed per cluster on any one of the nodes in the cluster.

Does monitoring stop if the master agent crashes or is deleted?

No, only the kube-apps metrics are stopped. Container metrics sent from workers keep working.