- Elastic Cloud on Kubernetes:
- Overview
- Quickstart
- Operating ECK
- Orchestrating Elastic Stack applications
- Run Elasticsearch on ECK
- Node configuration
- Volume claim templates
- Storage recommendations
- Transport settings
- Virtual memory
- Settings managed by ECK
- Secure settings
- Custom configuration files and plugins
- Init containers for plugin downloads
- Update strategy
- Pod disruption budget
- Nodes orchestration
- Advanced Elasticsearch node scheduling
- Create automated snapshots
- Remote clusters
- Readiness probe
- Pod PreStop hook
- Elasticsearch autoscaling
- JVM heap dumps
- Security Context
- Run Kibana on ECK
- Run APM Server on ECK
- Run standalone Elastic Agent on ECK
- Run Fleet-managed Elastic Agent on ECK
- Run Elastic Maps Server on ECK
- Run Enterprise Search on ECK
- Run Beats on ECK
- Run Logstash on ECK
- Elastic Stack Helm Chart
- Recipes
- Secure the Elastic Stack
- Access Elastic Stack services
- Customize Pods
- Manage compute resources
- Autoscaling stateless applications
- Elastic Stack configuration policies
- Upgrade the Elastic Stack version
- Run Elasticsearch on ECK
- Advanced topics
- Reference
- API Reference
- agent.k8s.elastic.co/v1alpha1
- apm.k8s.elastic.co/v1
- apm.k8s.elastic.co/v1beta1
- autoscaling.k8s.elastic.co/v1alpha1
- beat.k8s.elastic.co/v1beta1
- common.k8s.elastic.co/v1
- common.k8s.elastic.co/v1alpha1
- common.k8s.elastic.co/v1beta1
- elasticsearch.k8s.elastic.co/v1
- elasticsearch.k8s.elastic.co/v1beta1
- enterprisesearch.k8s.elastic.co/v1
- enterprisesearch.k8s.elastic.co/v1beta1
- kibana.k8s.elastic.co/v1
- kibana.k8s.elastic.co/v1beta1
- logstash.k8s.elastic.co/v1alpha1
- maps.k8s.elastic.co/v1alpha1
- stackconfigpolicy.k8s.elastic.co/v1alpha1
- Glossary
- Third-party dependencies
- API Reference
- Release highlights
- 2.12.1 release highlights
- 2.12.0 release highlights
- 2.11.1 release highlights
- 2.11.0 release highlights
- 2.10.0 release highlights
- 2.9.0 release highlights
- 2.8.0 release highlights
- 2.7.0 release highlights
- 2.6.2 release highlights
- 2.6.1 release highlights
- 2.6.0 release highlights
- 2.5.0 release highlights
- 2.4.0 release highlights
- 2.3.0 release highlights
- 2.2.0 release highlights
- 2.1.0 release highlights
- 2.0.0 release highlights
- 1.9.1 release highlights
- 1.9.0 release highlights
- 1.8.0 release highlights
- 1.7.1 release highlights
- 1.7.0 release highlights
- 1.6.0 release highlights
- 1.5.0 release highlights
- 1.4.1 release highlights
- 1.4.0 release highlights
- 1.3.2 release highlights
- 1.3.1 release highlights
- 1.3.0 release highlights
- 1.2.2 release highlights
- 1.2.1 release highlights
- 1.2.0 release highlights
- 1.1.2 release highlights
- 1.1.1 release highlights
- 1.1.0 release highlights
- 1.0.1 release highlights
- 1.0.0 release highlights
- 1.0.0-beta1 release highlights
- Release notes
- Elastic Cloud on Kubernetes version 2.12.1
- Elastic Cloud on Kubernetes version 2.12.0
- Elastic Cloud on Kubernetes version 2.11.1
- Elastic Cloud on Kubernetes version 2.11.0
- Elastic Cloud on Kubernetes version 2.10.0
- Elastic Cloud on Kubernetes version 2.9.0
- Elastic Cloud on Kubernetes version 2.8.0
- Elastic Cloud on Kubernetes version 2.7.0
- Elastic Cloud on Kubernetes version 2.6.2
- Elastic Cloud on Kubernetes version 2.6.1
- Elastic Cloud on Kubernetes version 2.6.0
- Elastic Cloud on Kubernetes version 2.5.0
- Elastic Cloud on Kubernetes version 2.4.0
- Elastic Cloud on Kubernetes version 2.3.0
- Elastic Cloud on Kubernetes version 2.2.0
- Elastic Cloud on Kubernetes version 2.1.0
- Elastic Cloud on Kubernetes version 2.0.0
- Elastic Cloud on Kubernetes version 1.9.1
- Elastic Cloud on Kubernetes version 1.9.0
- Elastic Cloud on Kubernetes version 1.8.0
- Elastic Cloud on Kubernetes version 1.7.1
- Elastic Cloud on Kubernetes version 1.7.0
- Elastic Cloud on Kubernetes version 1.6.0
- Elastic Cloud on Kubernetes version 1.5.0
- Elastic Cloud on Kubernetes version 1.4.1
- Elastic Cloud on Kubernetes version 1.4.0
- Elastic Cloud on Kubernetes version 1.3.2
- Elastic Cloud on Kubernetes version 1.3.1
- Elastic Cloud on Kubernetes version 1.3.0
- Elastic Cloud on Kubernetes version 1.2.2
- Elastic Cloud on Kubernetes version 1.2.1
- Elastic Cloud on Kubernetes version 1.2.0
- Elastic Cloud on Kubernetes version 1.1.2
- Elastic Cloud on Kubernetes version 1.1.1
- Elastic Cloud on Kubernetes version 1.1.0
- Elastic Cloud on Kubernetes version 1.0.1
- Elastic Cloud on Kubernetes version 1.0.0
- Elastic Cloud on Kubernetes version 1.0.0-beta1
A newer version is available. For the latest information, see the
current release documentation.
Autoscaling stateless applications
editAutoscaling stateless applications
editThis section only applies to stateless applications. Check Elasticsearch autoscaling for more details about scaling automatically Elasticsearch.
The Horizontal Pod Autoscaler can be used to automatically scale the deployments of the following resources:
- Kibana
- APM Server
- Enterprise Search
- Elastic Maps Server
These resources expose the scale
subresource which can be used by the Horizontal Pod Autoscaler controller to automatically adjust the number of replicas according to the CPU load or any other custom or external metric. This example shows how to create an HorizontalPodAutoscaler
resource to adjust the replicas of a Kibana deployment according to the CPU load:
apiVersion: elasticsearch.k8s.elastic.co/v1 kind: Elasticsearch metadata: name: elasticsearch-sample spec: version: 8.17.2 nodeSets: - name: default count: 1 config: node.store.allow_mmap: false --- apiVersion: kibana.k8s.elastic.co/v1 kind: Kibana metadata: name: kibana-sample spec: version: 8.17.2 count: 1 elasticsearchRef: name: "elasticsearch-sample" podTemplate: spec: containers: - name: kibana resources: requests: memory: 1Gi cpu: 1 limits: memory: 1Gi --- apiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: kb spec: scaleTargetRef: apiVersion: kibana.k8s.elastic.co/v1 kind: Kibana name: kibana-sample minReplicas: 1 maxReplicas: 4 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 50
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