→ Automate index lifecycle management by detecting outdated or inefficient indices and triggering index refreshes and rollovers automatically to ensure data freshness and optimal storage usage → Streamline machine learning model deployment with automatic updates and inferences on trained models, allowing rapid response to data changes without manual intervention → Enhance security monitoring by automating API key queries, user privilege checks, and security role management to maintain compliance and safeguard cluster access