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Braintrust allows you to log raw data while you run your AI applications, including inputs, outputs, and prompts. Because of the sensitivity of this data, we support running the logging stack in your AWS account, ensuring that data never leaves your account, and never flows through Braintrust’s infrastructure. This component is referred to as the data plane. At its core, the data plane deployment works by installing an API layer along with a database in your environment. On AWS, this is packaged as a few AWS Lambda function, a Postgres database, and a few other services in a VPC, packaged up as a Terraform module. You can also deploy it via docker just about anywhere. When you log from Braintrust’s TypeScript or Python library, it sends the events directly to the data plane, never touching Braintrust’s servers. And when you visit the UI (on https://www.braintrustdata.com/app), your browser runs requests against the data plane directly. Architecture diagram

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Brainstore

Brainstore is Braintrust’s high-performance database for ingesting and querying AI data. It uses object storage and a streaming Rust engine to load spans in real time, cutting down on latency and enabling deep search capabilities. Braintrust automatically uses Brainstore on our hosted platform and requires it when setting up the Braintrust data plane on your own infrastructure. Check out the self-hosting guide for more information.