- 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
- Connect to external Elastic resources
- Run Elasticsearch on ECK
- Advanced topics
- Troubleshooting ECK
- 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
- 2.15.0 release highlights
- 2.14.0 release highlights
- 2.13.0 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 2.15.0
- Elastic Cloud on Kubernetes version 2.14.0
- Elastic Cloud on Kubernetes version 2.13.0
- 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
Readiness probe
editReadiness probe
editElasticsearch versions before 8.2.0
editBy default, the readiness probe checks that the Pod responds to HTTP requests within a timeout of three seconds. This is acceptable in most cases. However, when the cluster is under heavy load, you might need to increase the timeout. This allows the Pod to stay in a Ready
state and be part of the Elasticsearch service even if it is responding slowly. To adjust the timeout, set the READINESS_PROBE_TIMEOUT
environment variable in the Pod template and update the readiness probe configuration with the new timeout.
This example describes how to increase the API call timeout to ten seconds and the overall check time to twelve seconds:
spec: version: 8.17.2 nodeSets: - name: default count: 1 podTemplate: spec: containers: - name: elasticsearch readinessProbe: exec: command: - bash - -c - /mnt/elastic-internal/scripts/readiness-probe-script.sh failureThreshold: 3 initialDelaySeconds: 10 periodSeconds: 12 successThreshold: 1 timeoutSeconds: 12 env: - name: READINESS_PROBE_TIMEOUT value: "10"
Note that this requires restarting the Pods.
Elasticsearch versions 8.2.0 and later
editWe do not recommend overriding the default readiness probe on Elasticsearch 8.2.0 and later. ECK configures a socket based readiness probe using the Elasticsearch readiness port feature which is not influenced by the load on the Elasticsearch cluster.