Loki v1.4.0, a release featuring more than 130 pull requests from over 40 contributors, introduces significant enhancements including query statistics, regex optimizations, and improved client retry mechanisms for rate-limited failures. The update brings a new query frontend for performance gains through query parallelization, which is now measurable with enhanced statistics exposed via the API, allowing users to see data processing metrics. Regex filters have seen optimization, offering up to 300x speed improvements in some cases. Promtail can now perform dry runs to facilitate debugging, and retries are implemented for clients encountering 429 errors, providing resilience against server-side issues. Additional features include binary operators in LogQL, a metric stage for line counting, and configurable max_chunk_age to manage memory usage and log loss risks. The release also highlights the importance of upgrade considerations, especially for users of Loki versions 1.2.0 or older, and invites users to a webinar for a deeper understanding of Loki’s functionality.