Let’s build Microservice Architecture

Using Spring Boot and PostgreSQL for the “BookMySalon” application makes sense given the robustness of the platform and the requirements. Let’s structure this microservices architecture, keeping in mind the separation of concerns and scalability.

Microservices Architecture for “BookMySalon”:

1. User Service:

  • Responsibility: Handle user-related operations.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL
    • Authentication & Authorization: Spring Security with JWT or OAuth2

2. Salon Service:

  • Responsibility: Manage salon details and metadata.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL (using JSONB columns might be helpful for flexibility in storing services and prices)

3. Appointment Service:

  • Responsibility: Handle appointment logistics and notifications.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL
    • Messaging/Notifications: Kafka or RabbitMQ for asynchronous notifications, integrated with SMS/Email service

4. Search and Discovery Service:

  • Responsibility: Facilitate salon searching and discovery.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL (you might also consider integrating an Elasticsearch cluster for more advanced search capabilities)

5. Availability Service:

  • Responsibility: Check and manage slot availability.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL

6. Payment Service:

  • Responsibility: Oversee transactions and related financial elements.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL
    • Payment Gateway Integration: Stripe API, PayPal API, or any local payment gateway

7. Review and Rating Service:

  • Responsibility: Manage user feedback.
  • Technologies:
    • Backend: Spring Boot
    • Database: PostgreSQL

Supporting Components:

API Gateway:

  • A unified entry point for all external requests.
  • Technology: Spring Cloud Gateway or Netflix Zuul

Service Discovery & Load Balancing:

  • Help in automatic detection of service instances and direct traffic accordingly.
  • Technology: Netflix Eureka or Consul

Centralized Configuration:

  • Centralize configuration across multiple services and environments.
  • Technology: Spring Cloud Config Server

Centralized Logging and Monitoring:

  • Monitoring health, performance, and logs from all services centrally.
  • Technologies: ELK Stack (Elasticsearch, Logstash, Kibana) for logging, Prometheus & Grafana for monitoring


  • Ensure secure communication and prevent unauthorized access.
  • Technologies: Spring Security, JWT/OAuth2 for token-based authentication

Distributed Tracing:

  • Trace requests across multiple services to identify latencies and issues.
  • Technology: Zipkin or Jaeger integrated with Spring Cloud Sleuth

CI/CD Integration:

  • Automate build and deployment.
  • Tools: Jenkins, GitLab CI, or GitHub Actions with Docker & Kubernetes for orchestration

In this architecture, each microservice would have its own dedicated database schema in PostgreSQL to ensure data consistency and independence. Using Spring Boot will provide a solid foundation, and the tools listed above integrate well with the Spring ecosystem.