Efficient management of time-based indices in Elasticsearch is crucial for handling log events, and the traditional index-per-day pattern, while straightforward, can be inefficient. The new Rollover Pattern offers a more effective solution by utilizing aliases and APIs to manage active and inactive indices. This approach allows for optimal resource usage by spreading active index shards across hot nodes and rolling over to new indices when they become too full or old. The rollover process is facilitated by the rollover API, which checks conditions such as maximum documents or age to determine when to create a new index. Shrinking inactive indices onto cold nodes further optimizes storage, making them read-only and reducing them to a single shard with deflate compression. By force-merging these inactive indices and adjusting the number of replicas, users can maintain redundancy and manage indices efficiently. The process also includes deleting old indices based on field statistics, ensuring data management remains streamlined. Future enhancements, such as automation through tools like Curator and X-Pack, aim to simplify these tasks by providing scheduling and notification features.