# How Raindrop Scales AI Observability with Tinybird's Real-Time Analytics Infrastructure

DevFeed: [How Raindrop Scales AI Observability with Tinybird's Real-Time Analytics Infrastructure](<https://devfeed.tech/articles/how-raindrop-became-the-sentry-of-ai-scaling-to-petabytes-with-tinybird-18612.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/raindrop>)

Author: Tinybird

Published: 2025-04-24T00:00:00Z

Content type: article

Language: en

Sources: [Tinybird](<https://devfeed.tech/sources/tinybird.md>)

Topics: [ai observability](<https://devfeed.tech/topics/ai-observability.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [observability](<https://devfeed.tech/topics/observability.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-observability](<https://devfeed.tech/tags/ai-observability.md>), [customer-stories](<https://devfeed.tech/tags/customer-stories.md>), [net-11](<https://devfeed.tech/tags/net-11.md>), [observability](<https://devfeed.tech/tags/observability.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

## AI overview

This case study describes how Raindrop, an AI observability platform, processes hundreds of millions of requests daily using Tinybird's real-time analytics infrastructure to help companies understand interactions with their AI applications.

## Source excerpt

Learn how this AI observability platform processes hundreds of millions of requests daily to help companies understand how users interact with their AI applications, powered by Tinybird's real-time analytics infrastructure.