Elasticsearch and Kibana Installation on Kubernetes using Helm Charts

In this tutorial video, we'll walk you through the process of setting up Elasticsearch and Kibana on a Kubernetes cluster using Helm charts. Elasticsearch is a powerful search and analytics engine, and Kibana is a user-friendly visualization tool. Together, they are essential for monitoring and managing data in a Kubernetes environment.
Video Content:
Prerequisites: We'll begin by outlining the prerequisites for this installation, which includes having a running Kubernetes cluster and Helm installed and configured.
Adding Helm Repositories: We'll show you how to add the necessary Helm repositories for Elasticsearch and Kibana to access their charts.
Creating a Namespace: To keep things organized, we'll create a dedicated namespace in Kubernetes for our Elasticsearch and Kibana deployment.
Installing Elasticsearch: You'll learn how to install Elasticsearch on Kubernetes using Helm, including specifying the Elasticsearch version that suits your needs.
Installing Kibana: Next, we'll demonstrate how to install Kibana on the same Kubernetes cluster using Helm and ensure compatibility with Elasticsearch.
Accessing Kibana: We'll guide you through the steps to access Kibana, which involves creating a Kubernetes service for it. You'll see how to access Kibana's user interface and interact with your Elasticsearch data.
Configuration: We'll briefly touch on configuring Elasticsearch and Kibana to meet your specific requirements, such as setting up authentication and creating custom visualizations and dashboards.
Conclusion: We'll wrap up the video by summarizing the key steps and emphasizing the significance of Elasticsearch and Kibana in managing Kubernetes-based applications.
By the end of this video, you'll have a clear understanding of how to set up Elasticsearch and Kibana on Kubernetes, enabling you to effectively manage and analyze your application data.
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