How Microsoft’s Open‑Source Drasi Redefines Real‑Time Event Processing

Microsoft announced on October 3 that it is open‑sourcing a new data‑processing system called Drasi , designed to simplify detection and response to critical events in complex infrastructures.

Drasi follows a low‑code, graph‑query approach, allowing developers to write rich graph queries that define the types of changes to monitor. The system continuously watches sources such as application logs, database updates, or system metrics, evaluates incoming changes against continuous queries, and triggers context‑aware actions—such as alerts, system updates, or remediation—without copying data to a central data lake.

The platform consists of three core components: sources, continuous queries, and reactions. By handling change detection and response automatically, Drasi reduces architectural complexity and ensures timely action on the most relevant data.

According to Azure CTO Mark Russinovich, many existing change‑detection tools rely on batch processing or delayed analysis, which can cause missed opportunities. Drasi aims to provide a comprehensive, real‑time solution.

Drasi has been submitted as a sandbox project to the Cloud Native Computing Foundation (CNCF) and is released under the Apache 2.0 license, suitable for both commercial and non‑commercial use.

Official site: https://drasi.io/