Data platform · Event-driven architecture
Self-Service Insights Platform
A GCP event-driven platform where subject-matter experts define heuristic processes on incoming data and trigger alerting workflows.
The challenge
Subject-matter experts often know which signals matter, but translating that knowledge into production data workflows can create a queue of engineering work. The goal of this platform is to let those experts define heuristic processes without giving up the operational controls expected of a production system.
The approach
Incoming events move through a GCP-based processing flow. Configured heuristics evaluate the data and can trigger downstream alerting workflows when their conditions are met.
The platform separates three concerns:
- receiving and distributing incoming events with Pub/Sub;
- running scalable processing services on Cloud Run; and
- storing configuration and operational state in Spanner.
Engineering focus
The design emphasizes self-service configuration, traceable processing, and clean boundaries between domain rules and the infrastructure that executes them. This makes it possible to evolve expert-authored heuristics while keeping ingestion and alert delivery dependable.