Vitalii Cherepanov — Backend/VR

VR Microservices Visualizer

2025-10-15

Discover the innovative VR Microservices Visualizer developed by Vitalii Cherepanov, simplifying debugging, analysis, and management of complex microservices architectures using Go, gRPC, and Unity VR.
2 min · Vitalii Cherepanov

Problem: Complexity in Microservices Architecture Management

Managing, debugging, and analysing complex microservices architectures is challenging, often leading to bottlenecks, resource inefficiencies, and difficulties in tracking request flows. Traditional monitoring and visualisation tools lack intuitive interfaces and real-time immersive insights. On working!

My Role: Creator & Lead Developer

As the creator and full-stack developer of the VR Microservices Visualizer, I owned the entire technical solution:

  • System architecture and data model design
  • Backend in Go with event-driven patterns and real-time updates
  • gRPC contracts for efficient inter-service communication
  • Immersive Unity VR front end tailored for Oculus Quest 3

Solution: Innovative VR-Based Visualisation Tool

The VR Microservices Visualizer is a next-generation application that delivers a clear, immersive picture of microservice interactions inside a VR environment. By combining Go, gRPC, and Unity VR, engineering teams can:

  • Spot bottlenecks in seconds
  • Optimise resource consumption
  • Understand request and event flows in real time

Technologies Used

  • Go (Golang) — backend microservices and streaming data processing
  • gRPC — high-performance service-to-service communication
  • Unity VR — interactive and immersive visualisation layer
  • Oculus Quest 3 — accessible VR hardware for hands-on analysis

Results: Enhanced Microservices Debugging and Analysis

The tool dramatically simplifies debugging, monitoring, and managing microservice architectures. Teams report:

  • Faster detection of anomalies and failure patterns
  • Better control of resource allocation
  • Deeper insight into complex systems and scenarios

The outcome is more efficient development cycles, reduced downtime, and higher business value for demanding platforms.