Quickstart

Apply the following specification to deploy Elastic Agent with the System metrics integration to harvest CPU metrics from the Agent Pods. ECK automatically configures the secured connection to an Elasticsearch cluster named quickstart, created in the Elasticsearch quickstart.

cat <<EOF | kubectl apply -f -
apiVersion: agent.k8s.elastic.co/v1alpha1
kind: Agent
metadata:
  name: quickstart
spec:
  version: 8.16.0
  elasticsearchRefs:
  - name: quickstart
  daemonSet: {}
  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
EOF

Check Configuration examples for more ready-to-use manifests.

Monitor the status of Elastic Agent.

kubectl get agent

NAME            HEALTH   AVAILABLE   EXPECTED   VERSION   AGE
quickstart      green    3           3          8.16.0    15s

List all the Pods that belong to a given Elastic Agent specification.

kubectl get pods --selector='agent.k8s.elastic.co/name=quickstart'

NAME                     READY   STATUS    RESTARTS   AGE
quickstart-agent-6bcxr   1/1     Running   0          68s
quickstart-agent-t49fd   1/1     Running   0          68s
quickstart-agent-zqp55   1/1     Running   0          68s

Access logs for one of the Pods.
```
kubectl logs -f quickstart-agent-6bcxr
```
Access the CPU metrics ingested by Elastic Agent.

You have two options:
- Follow the Elasticsearch deployment guide and run:
```
curl -u "elastic:$PASSWORD" -k "https://localhost:9200/metrics-system.cpu-*/_search"
```
- Follow the Kibana deployment guide, log in and go to Kibana > Discover.

« Run standalone Elastic Agent on ECK Configuration »