# How Tinybird Uses KEDA and Real-Time Analytics to Autoscale Kafka Workloads

DevFeed: [How Tinybird Uses KEDA and Real-Time Analytics to Autoscale Kafka Workloads](<https://devfeed.tech/articles/why-we-ditched-prometheus-for-autoscaling-and-don-t-miss-it-18647.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/scaling-with-keda-and-tinybird>)

Author: Víctor M. Fernández

Published: 2025-06-27T10:00:00Z

Content type: tutorial

Language: en

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

Topics: [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scalable-analytics-architecture](<https://devfeed.tech/tags/scalable-analytics-architecture.md>)

## AI overview

Tinybird describes using KEDA and its real-time analytics platform to autoscale Kafka workloads.

## Source excerpt

Tinybird uses KEDA and its own real-time analytics platform to autoscale Kafka workloads. Learn how we made it work.