Elasticsearch cluster on K3S (light weight kubernetes) | Ubuntu 18.04

Elasticsearch

Elasticsearch is a distributed, open source search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured

Structure Sneak-Peak 

Client Nodes:

  forwards the request to the data nodes which hold the data. 

Data Nodes 

Data nodes hold data and perform data related operations such as CRUD, search, and aggregations.

Master Nodes:

controls the cluster.

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Module 1: 

Pre-Setup Configuration, this includes creating a seperate Namespace,LimitRange and Headless Service . GitRepo https://github.com/sylesh687/k8s-elk.git

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Module 2 [ Master Nodes]

This module includes creation of k8s api objects for Master nodes, this includes configmap for configurations and deployment.

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Module 3 [ Data Nodes ]

This Module contains statefulsets and configmap. you can create storageclass with specific provisioner(aws/gce/azure)

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Module 4 [ Client Nodes ( The Final Module) ]

This module contains deployments for client nodes,configmaps and service to type NodePort

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Thank you guys!!!

        Happy Containerization , Happy DevOps. Please feel free to reach out to me for any confusions or doubts in any of the modules. i would be more than happy to assist you in which ever possible way i can.

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