Case Study: Together AI achieves near-real-time inference analytics with Estuary

Together AI gets fresh inference analytics in 1 week with Estuary

Together AI, a provider of AI infrastructure, needed to gain visibility into its distributed inference platform. The company used Prometheus for operational monitoring, but its two-week data retention window limited historical analysis of platform economics and customer SLAs. They required a solution to stream structured event data into their data warehouse for durable, queryable analytics without building custom data infrastructure.

Using Estuary, a backend engineer implemented a near-real-time data pipeline in about one week. Estuary captured wide events from AWS and materialized them directly into the data warehouse. This provided fresh data for business dashboards on utilization and economics, while also giving engineers a longer history for debugging. The result was that teams gained immediate access to analytical data, accelerating both business decisions and engineering investigations without the overhead of a custom platform.

Together AI