Radu Gheorghe (Sematext Group) & Ciprian Hacman (polypoly) explain how Kubernetes can be used to manage and autoscale Elasticsearch clusters. They will explain the use cases for such a setup, what are the pros and cons of using Kubernetes to manage Elasticsearch for logging, and what operators are currently available to accomplish this task.

👉Here for professional Elasticsearch Consulting: https://sematext.com/consulting/elasticsearch/
👉🔥For the Absolute Best Kubernetes Monitoring Solution: https://sematext.com/docs/integration/kubernetes/
👉Here to learn more about Kubecon: https://www.cncf.io/kubecon-cloudnativecon-events/

Additional resources:
📚 Monitoring Elasticsearch with Sematext: https://sematext.com/blog/monitoring-elasticsearch-with-sematext/
📚Elasticsearch Guide: https://sematext.com/guides/elasticsearch/
📚Running and Deploying Elasticsearch on Kubernetes: https://sematext.com/blog/kubernetes-elasticsearch/
📚Running and deploying Elasticsearch Operator on Kubernetes: https://sematext.com/blog/elasticsearch-operator-on-kubernetes/

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Chapters:
⏩0:00-1:14 Introduction
⏩1:15-1:49 Overview
⏩1:50-2:38 Use-Cases for Elastic Search on Kubernetes
⏩2:39- 3:21 Methods of scale Elastic Search Clusters on Kubernetes
⏩3:22-6:13:Using Time-based indices
⏩6:14-8:02 Rotating indices by size (and time)
⏩8:03-10:15 Update the number of shares as you scale
⏩10:16-13:20 Best Practices for Elastic Search on Kubernetes
⏩13:21- 15:12 Available Operator Options
⏩15:13- 17:14 Demo Overview of ES on K8
⏩17:15 - 19:04 Deploying ES on Kubernetes
⏩19:05 -23:18 Scaling up ElasticSearch via Kubernetes
⏩23:19-25:56 Draining Nodes and Scaling down on ES via Kubernetes
⏩25:57- Q&A Elasticsearch and Kubernetes