This functionality is in technical preview and may be changed or removed in a future release. Elastic will apply best effort to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
This section contains manifests that illustrate common use cases, and can be your starting point in exploring Elastic Agent deployed with ECK. These manifests are self-contained and work out-of-the-box on any non-secured Kubernetes cluster. They all contain a three-node Elasticsearch cluster and a single Kibana instance. Add the corresponding integration package to Kibana to install the dashboards, visualizations and other assets for each of these examples as described in the Elastic Agent documentation.
The examples in this section are for illustration purposes only and should not be considered to be production-ready. Some of these examples use the
node.store.allow_mmap: false setting which has performance implications and should be tuned for production workloads, as described in Virtual memory.
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/1.4/config/recipes/elastic-agent/system-integration.yaml
Deploys Elastic Agent as a DaemonSet in standalone mode with system integration enabled. Collects syslog logs, auth logs and system metrics (for CPU, I/O, filesystem, memory, network, process and others).
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/1.4/config/recipes/elastic-agent/kubernetes-integration.yaml
Deploys Elastic Agent as a DaemonSet in standalone mode with Kubernetes integration enabled. Collects API server, Container, Event, Node, Pod, Volume and system metrics.
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/1.4/config/recipes/elastic-agent/multi-output.yaml
Deploys two Elasticsearch clusters and two Kibana instances together with single Elastic Agent DaemonSet in standalone mode with System integration enabled. System metrics are sent to the
elasticsearch cluster. Elastic Agent monitoring data is sent to
Intro to Kibana
ELK for Logs & Metrics