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.