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Designing the Microservice Foundation for an AI Platform

Defined the architectural standards, development patterns, and event-driven conventions used across all backend services of a multi-service AI platform.

Overview

As the platform evolved from a prototype into a distributed system, there was a need for a consistent architectural approach across all backend services. I designed the reference architecture, repository structure, development guidelines, and operational standards that became the foundation for new microservices.

Problem

Without clear standards, teams risked creating services with inconsistent patterns, event contracts, testing approaches, and infrastructure integrations. The challenge was establishing enough structure to enable scalability while keeping development practical and fast.

Approach

Defined an opinionated architecture based on Domain-Driven Design, Hexagonal Architecture, and event-driven communication. Established conventions for service boundaries, repository interfaces, domain events, Kafka integration, testing strategies, observability, dependency management, and CI/CD workflows. Created documentation and examples that allowed engineers to bootstrap new services while maintaining consistency across the platform.

Outcomes

  • Created the architectural blueprint used across backend services.
  • Standardized service structure, testing practices, and event contracts.
  • Improved consistency between independently developed microservices.
  • Reduced onboarding time for engineers working on new services.
  • Established patterns for observability, reliability, and event-driven communication.
  • Provided a scalable foundation for future platform growth.