Loki v1.3.0 introduces a significant new feature in the form of a query frontend, designed to enhance query processing efficiency and protect against denial of service attacks. This component can be integrated seamlessly into the existing Loki architecture, allowing it to split and parallelize queries by time to improve processing speed significantly, especially beneficial for handling high-throughput log streams. Additionally, the query frontend employs per-tenant query scheduling to ensure fair distribution of resources, mitigating the risk posed by problematic tenants overloading the system. Looking forward, the Loki team aims to implement result caching, inspired by Cortex, to store and reuse entire query results efficiently, and query sharding, which transforms queries into more parallelizable forms for enhanced performance.