Faster queries for debugging production agents with Nitro

Braintrust introduced Nitro, an asynchronous query engine for Brainstore designed to accelerate investigation of production agent traces stored in object storage, where large volumes of concurrent full-text searches can otherwise be constrained by network latency, CPU, and memory. Built around Tantivy’s index format, Nitro separates storage-read and compute scheduling, allowing many object-store requests to overlap without overloading compute workers, while also reducing requests through aggressive prefetching, coalescing nearby reads, and early filtering for phrase searches. In a three-day A/B test covering more than one million queries, Nitro made full-text searches over twice as fast on average and improved other queries by 15%, with selected cold-cache production workloads improving by roughly two to more than four times. A separate synthetic benchmark on 40 GB of text showed strong phrase-search performance relative to two unnamed observability vendors, although one competitor was faster on a span-count aggregate query and aggregate performance remains an identified area for improvement. Nitro is enabled automatically for Braintrust SaaS and BYOC customers and is available to self-hosted users from dataplane version 2.15.

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