Distributed systems often feature occasion-driven architectures as a relatively common design pattern. Like various distributed growth patterns, they each have their unique challenges, especially when scaled. As the volume of incoming messages reaches tens or even hundreds per minute, it becomes straightforward to identify and respond to the notifications that matter most. As a software or service expands to handle hundreds of thousands of messages across a global platform, the systems that worked effectively for smaller operations risk buckling under the increased load.
As systems grow in complexity, event-driven approaches can quickly become unwieldy. Various message formats and occasion types are stored in separate repositories, rendering it challenging to retrieve and process information without relying on intricate query structures. As message queuing methods become increasingly congested, they slow down, experiencing latency and occasionally dropping messages in the process? As circumstances require prompt responses, a delicate situation becomes increasingly burdensome to navigate and manage?
That’s where you can find Drasi. Microsoft’s innovation enables the streamlined automation of intelligent responses by detecting and addressing related events, a strategy dubbed “automated smart reactions.” This lightweight software eschews the need for a centralized hub for event data, instead leveraging decentralization to identify occurrences near their source within log files and change feeds.
