Loki, a Prometheus-inspired logging service launched by Grafana Labs, optimizes storage, search, and aggregation, allowing users to explore logs seamlessly in Grafana. Designed to operate as both microservices and monoliths, Loki efficiently correlates logs and metrics to reduce costs. As it approaches general availability, Grafana Labs is enhancing Loki's query optimization capabilities, focusing on ingestion retention and label queries. The service uses ingesters to compress writes, significantly reducing backend load, and has transitioned to using backend databases for label queries to manage memory usage effectively. Although compression speed has improved with the switch from Go's gzip to the compress package, decompression remains CPU-intensive, prompting future plans for query parallelization and exploring alternative compression algorithms. All developments are open-source, and Grafana Labs continues to refine Loki's performance with contributions from its community, aiming to enhance its efficiency in handling large-scale log data.