The RedisTimeSeries module has reached general availability with version 1.2, which introduces powerful new features such as compression that reduces memory requirements up to 90% and improves performance by up to 70%. The compression technique used is based on double-delta and XOR encoding of timestamps and values respectively, resulting in a significant reduction in memory usage. The API has been made more consistent and intuitive, with redundant response data removed to further improve performance. Other enhancements include the ability to model counters for time windows of fixed sizes and the introduction of low-level APIs for full-text search queries and cross-time series aggregation.