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Autoscaling Elasticsearch for Logs on Kubernetes

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Elasticsearch Courses Kubernetes Courses Autoscaling Courses Load Balancing Courses Log Management Courses

Course Description

Overview

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Explore autoscaling techniques for Elasticsearch in Kubernetes environments for efficient log management in this 32-minute conference talk. Learn best practices for scaling Elasticsearch clusters with time-series data, focusing on proper index and shard sizing for optimal load balancing across nodes. Discover how to implement these practices when deploying Elasticsearch on Kubernetes, and get introduced to a new open-source operator that automates Elasticsearch scaling while maintaining balanced load distribution. Watch a demonstration of this operator in action, which dynamically adjusts shard numbers in index templates and rotates indices as node counts change.

Syllabus

Autoscaling Elasticsearch for Logs on Kubernetes - Radu Gheorghe & Ciprian Hacman


Taught by

CNCF [Cloud Native Computing Foundation]

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