This system turned raw machine metrics into a live operational view by connecting collectors, streaming transport, persistence, and dashboard-facing data flows.
GoJavaZeroMQPostgreSQL
Challenge
The challenge was coordinating multiple system layers so the data stayed timely, readable, and reliable under continuous collection.
Outcome
The project showed how backend services, realtime transport, and structured storage can work together in a monitoring product.
Stack
Go | Java | ZeroMQ | PostgreSQL
Related service
Backend Developer for APIs, Data Pipelines, and Systems
