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This article provides a comprehensive guide to deploying and managing Elasticsearch in a Kubernetes cluster using NFS storage. It covers the steps involved in creating an NFS server, configuring PVCs and PVs, deploying Elasticsearch with persistent s
To deploy Elasticsearch in a Kubernetes cluster using NFS storage, follow these steps:
To configure Elasticsearch storage policy to leverage NFS persistent volumes:
elasticsearch-data
ConfigMap, under volumeClaimTemplates
, specify the storageClass
field with the PV's storage class name.elasticsearch-data
ConfigMap, under volumeClaimTemplates
, specify the storageClass
field with the PV's storage class name.Create a Storage Class for the NFS PV, specifying the following parameters:
provisioner
: Kubernetes NFS provisioner name.parameters
provisioner
: Kubernetes NFS provisioner name.parameters
: Include the NFS server's IP, path, and other required NFS parameters.
How to Manage and Monitor Elasticsearch Cluster Using NFS Storage in Kubernetes?
To manage and monitor Elasticsearch clusters in Kubernetes with NFS storage:Use the Kubernetes Dashboard or kubectl commands to monitor the PVC status and data usage.Regularly backup and restore Elasticsearch data using tools like Velero.
Use Elasticsearch's monitoring tools (e.g., Kibana, Elasticsearch HQ) for performance metrics.Monitor the NFS server's health using performance monitoring tools.
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