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« Quickstart Configuration examples »

Configurationedit

Upgrade the Elastic Agent specificationedit

You can upgrade the Elastic Agent version or change settings by editing the YAML specification. ECK applies the changes by performing a rolling restart of the Agent’s Pods. Depending on the settings that you used, ECK will set the outputs part of the configuration, or restart Elastic Agent on certificate rollover.

Customize the Elastic Agent configurationedit

The Elastic Agent configuration is defined in the config element:

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: quickstart
spec:
  version: 8.13.2
  elasticsearchRefs:
  - name: quickstart
  daemonSet:
    podTemplate:
      spec:
        securityContext:
          runAsUser: 0 
  config:
    inputs:
      - name: system-1
        revision: 1
        type: system/metrics
        use_output: default
        meta:
          package:
            name: system
            version: 0.9.1
        data_stream:
          namespace: default
        streams:
          - id: system/metrics-system.cpu
            data_stream:
              dataset: system.cpu
              type: metrics
            metricsets:
              - cpu
            cpu.metrics:
              - percentages
              - normalized_percentages
            period: 10s

The root user is required to persist state in a hostPath volume. See Storing local state in host path volume for options to not run the Agent container as root.

Alternatively, it can be provided through a Secret specified in the configRef element. The Secret must have an agent.yml entry with this configuration:

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: quickstart
spec:
  version: 8.13.2
  elasticsearchRefs:
  - name: quickstart
  daemonSet:
    podTemplate:
      spec:
        securityContext:
          runAsUser: 0
  configRef:
    secretName: system-cpu-config
---
apiVersion: v1
kind: Secret
metadata:
  name: system-cpu-config
stringData:
  agent.yml: |-
    inputs:
      - name: system-1
        revision: 1
        type: system/metrics
        use_output: default
        meta:
          package:
            name: system
            version: 0.9.1
        data_stream:
          namespace: default
        streams:
          - id: system/metrics-system.cpu
            data_stream:
              dataset: system.cpu
              type: metrics
            metricsets:
              - cpu
            cpu.metrics:
              - percentages
              - normalized_percentages
            period: 10s

You can use the Fleet application in Kibana to generate the configuration for Elastic Agent, even when running in standalone mode. Check the Elastic Agent standalone documentation. Adding the corresponding integration package to Kibana also adds the related dashboards and visualizations.

Use multiple Elastic Agent outputsedit

Elastic Agent supports the use of multiple outputs. Therefore, the elasticsearchRefs element accepts multiple references to Elasticsearch clusters. ECK populates the outputs section of the Elastic Agent configuration based on those references. If you configure more than one output, you also have to specify a unique outputName attribute.

To send Elastic Agent’s internal monitoring and log data to a different Elasticsearch cluster called agent-monitoring in the elastic-monitoring namespace, and the harvested metrics to our quickstart cluster, you have to define two elasticsearchRefs as shown in the following example:

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: quickstart
spec:
  version: 8.13.2
  daemonSet:
    podTemplate:
      spec:
        securityContext:
          runAsUser: 0
  elasticsearchRefs:
  - name: quickstart
    outputName: default
  - name: agent-monitoring
    namespace: elastic-monitoring
    outputName: monitoring
  config:
    agent:
      monitoring:
        enabled: true
        use_output: monitoring
        logs: true
        metrics: true
    inputs:
      - name: system-1
        revision: 1
        type: system/metrics
        use_output: default
...

Customize the connection to an Elasticsearch clusteredit

The elasticsearchRefs element allows ECK to automatically configure Elastic Agent to establish a secured connection to one or more managed Elasticsearch clusters. By default, it targets all nodes in your cluster. If you want to direct traffic to specific nodes of your Elasticsearch cluster, refer to Traffic Splitting for more information and examples.

Set manually Elastic Agent outputsedit

If the elasticsearchRefs element is specified, ECK populates the outputs section of the Elastic Agent configuration. ECK creates a user with appropriate roles and permissions and uses its credentials. If required, it also mounts the CA certificate in all Agent Pods, and recreates Pods when this certificate changes. Moreover, elasticsearchRef element can refer to an ECK-managed Elasticsearch cluster by filling the name, namespace, serviceName fields accordingly, as well as to a Kubernetes secret that contains the connection information to an Elasticsearch cluster not managed by it. In the latter case, for authenticating against the Elasticsearch cluster the secret must contain the fields of url and either the username with password or the api-key.

The outputs can also be set manually. To do that, remove the elasticsearchRefs element from the specification and include an appropriate output configuration in the config, or indirectly through the configRef mechanism.

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: quickstart
spec:
  version: 8.13.2
  daemonSet:
    podTemplate:
      spec:
        securityContext:
          runAsUser: 0
  config:
    outputs:
      default:
        type: elasticsearch
        hosts:
          - "https://my-custom-elasticsearch-cluster.cloud.elastic.co:9243"
        password: ES_PASSWORD
        username: ES_USER
...

Choose the deployment modeledit

Depending on the use case, Elastic Agent may need to be deployed as a Deployment, a DaemonSet, or a StatefulSet. Provide a podTemplate element under either the deployment or the daemonSet element in the specification to choose how your Elastic Agents should be deployed. When choosing the deployment option you can additionally specify the strategy used to replace old Pods with new ones.

Similarly, you can set the update strategy when deploying as a DaemonSet. This allows you to control the rollout speed for new configuration by modifying the maxUnavailable setting:

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: quickstart
spec:
  version: 8.13.2
  daemonSet:
    podTemplate:
      spec:
        securityContext:
          runAsUser: 0
    strategy:
      type: RollingUpdate
      rollingUpdate:
        maxUnavailable: 3
...

Check Set compute resources for Beats and Elastic Agent for more information on how to use the Pod template to adjust the resources given to Elastic Agent.

Role Based Access Control for Elastic Agentedit

Some Elastic Agent features, such as the Kubernetes integration, require that Agent Pods interact with Kubernetes APIs. This functionality requires specific permissions. The standard Kubernetes RBAC rules apply. For example, to allow API interactions:

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: elastic-agent
spec:
  version: 8.13.2
  elasticsearchRefs:
  - name: elasticsearch
  daemonSet:
    podTemplate:
      spec:
        automountServiceAccountToken: true
        serviceAccountName: elastic-agent
        securityContext:
          runAsUser: 0
...
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: elastic-agent
rules:
- apiGroups: [""] # "" indicates the core API group
  resources:
  - namespaces
  - pods
  - nodes
  - nodes/metrics
  - nodes/proxy
  - nodes/stats
  - events
  verbs:
  - get
  - watch
  - list
- nonResourceURLs:
  - /metrics
  verbs:
  - get
  - watch
  - list
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: elastic-agent
  namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: elastic-agent
subjects:
- kind: ServiceAccount
  name: elastic-agent
  namespace: default
roleRef:
  kind: ClusterRole
  name: elastic-agent
  apiGroup: rbac.authorization.k8s.io

Deploying Elastic Agent in secured clustersedit

To deploy Elastic Agent in clusters with the Pod Security Policy admission controller enabled, or in OpenShift clusters, you might need to grant additional permissions to the Service Account used by the Elastic Agent Pods. Those Service Accounts must be bound to a Role or ClusterRole that has use permission for the required Pod Security Policy or Security Context Constraints. Different Elastic Agent integrations might require different settings set in their PSP/SCC.

Running as a non-root useredit

In order to run Elastic Agent as a non-root user you must choose how you want to persist data to the Agent’s volume.

  1. Run Elastic Agent with an emptyDir volume. This has the downside of not persisting data between restarts of the Elastic Agent which can duplicate work done by the previous running Agent.
  2. Run Elastic Agent with a hostPath volume in addition to a DaemonSet running as root that sets up permissions for the agent user.

In addition to these decisions, if you are running Elastic Agent in Fleet mode as a non-root user, you must configure certificate_authorities.ssl in each xpack.fleet.outputs to trust the CA of the Elasticsearch Cluster.

To run Elastic Agent with an emptyDir volume.

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: fleet-server
spec:
  deployment:
    podTemplate:
      spec:
        securityContext: 
          fsGroup: 1000
        volumes:
        - name: agent-data
          emptyDir: {}
...

Gid 1000 is the default group at which the Agent container runs. Adjust as necessary if runAsGroup has been modified.

To run Elastic Agent with a hostPath volume and a DaemonSet to maintain permissions.

apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: fleet-server-sample
  namespace: elastic-apps
spec:
  mode: fleet
  fleetServerEnabled: true
  deployment: {}
...
---
apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: elastic-agent-sample
  namespace: elastic-apps
spec:
  daemonSet: {}
...
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: manage-agent-hostpath-permissions
  namespace: elastic-apps
spec:
  selector:
    matchLabels:
      name: manage-agent-hostpath-permissions
  template:
    metadata:
      labels:
        name: manage-agent-hostpath-permissions
    spec:
      # serviceAccountName: elastic-agent 
      volumes:
        - hostPath:
            path: /var/lib/elastic-agent
            type: DirectoryOrCreate
          name: "agent-data"
      initContainers:
        - name: manage-agent-hostpath-permissions
          # image: registry.access.redhat.com/ubi9/ubi-minimal:latest 
          image: docker.io/bash:5.2.15
          resources:
            limits:
              cpu: 100m
              memory: 32Mi
          securityContext:
            # privileged: true 
            runAsUser: 0
          volumeMounts:
            - mountPath: /var/lib/elastic-agent
              name: agent-data
          command:
          - 'bash'
          - '-e'
          - '-c'
          - |-
            # Adjust this with /var/lib/elastic-agent/YOUR-NAMESPACE/YOUR-AGENT-NAME/state
            # Multiple directories are supported for the fleet-server + agent use case.
            dirs=(
              "/var/lib/elastic-agent/default/elastic-agent/state"
              "/var/lib/elastic-agent/default/fleet-server/state"
              )
            for dir in ${dirs[@]}; do
              mkdir -p "${dir}"
              # chcon is only required when running an an SELinux-enabled/OpenShift environment.
              # chcon -Rt svirt_sandbox_file_t "${dir}"
              chmod g+rw "${dir}"
              # Gid 1000 is the default group at which the Agent container runs. Adjust as necessary if `runAsGroup` has been modified.
              chgrp 1000 "${dir}"
              if [ -n "$(ls -A ${dir} 2>/dev/null)" ]
              then
                # Gid 1000 is the default group at which the Agent container runs. Adjust as necessary if `runAsGroup` has been modified.
                chgrp 1000 "${dir}"/*
                chmod g+rw "${dir}"/*
              fi
            done
      containers:
        - name: sleep
          image: gcr.io/google-containers/pause-amd64:3.2

This is only required when running in an SElinux-enabled/OpenShift environment. Ensure this user has been added to the privileged security context constraints (SCC) in the correct namespace. oc adm policy add-scc-to-user privileged -z elastic-agent -n elastic-apps

UBI is only required when needing the chcon binary when running in an SELinux-enabled/OpenShift environment. If that is not required then the following smaller image can be used instead: docker.io/bash:5.2.15

Privileged is only required when running in an SElinux-enabled/OpenShift environment.

When running Agent in fleet mode as a non-root user Kibana must be configured in order to properly accept the CA of the Elasticsearch cluster.

---
apiVersion: kibana.k8s.elastic.co/v1
kind: Kibana
metadata:
  name: kibana-sample
spec:
  config:
    # xpack.fleet.agents.elasticsearch.hosts: 
    xpack.fleet.agents.fleet_server.hosts: ["https://fleet-server-sample-agent-http.default.svc:8220"]
    xpack.fleet.outputs:
    - id: eck-fleet-agent-output-elasticsearch
      is_default: true
      name: eck-elasticsearch
      type: elasticsearch
      hosts:
      - "https://elasticsearch-sample-es-http.default.svc:9200" 
      ssl:
        certificate_authorities: ["/mnt/elastic-internal/elasticsearch-association/default/elasticsearch-sample/certs/ca.crt"]

This entry must not exist when running agent in fleet mode as a non-root user.

Note that the correct URL for Elasticsearch is https://ELASTICSEARCH_NAME-es-http.YOUR-NAMESPACE.svc:9200

Note that the correct path for Elasticsearch certificate_authorities is /mnt/elastic-internal/elasticsearch-association/YOUR-NAMESPACE/ELASTICSEARCH-NAME/certs/ca.crt
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