Elasticsearch Snapshot Lifecycle Management (SLM) is a tool designed to automate the backup process for Elasticsearch clusters and indices, ensuring data recovery in the event of system failures. It allows users to set up policies that dictate the timing, frequency, and retention of snapshots, which can be stored in shared file systems or cloud storage services like AWS S3, Microsoft Azure, or Google Cloud Storage. The tutorial provides a step-by-step guide on configuring repositories, defining SLM policies, and testing these configurations to ensure proper functionality. A notable feature of SLM is its ability to create incremental snapshots, minimizing storage requirements by only saving differences from previous backups. The tutorial also covers setting up AWS S3 as a storage repository, including configuring IAM users for secure access. By following these guidelines, users can establish reliable and automated backup systems to protect against data loss.