How to monitor Tinybird using Datadog with vector.dev

Tinybird recently enhanced its observability capabilities by adding new columns to its pipe_stats and pipe_stat_rt Service Data Sources and introducing a usage graph to API endpoint pages, tracking key metrics like request count and average latency. However, some customers requested more flexible observability visuals, leading to the creation of a solution that integrates Tinybird usage data into Datadog using vector.dev, a lightweight tool built by Datadog for building observability pipelines. The integration involves using Tinybird's API endpoints, vector.dev, and GitHub Actions to seamlessly route data from Tinybird to Datadog, allowing customers to track performance metrics in one place. This project demonstrates how quickly and effectively Tinybird can respond to customer needs, aligning with their product development approach of making the seemingly impossible possible, and highlights the company's commitment to improving observability.

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