eCommerce Application With Elastic Data And iyzico Payment

The eCommerce app is designed using Microservices architecture and API Gateway pattern where each service is responsible for a specific business function.

Elastic's eCommerce Orders Data is added from Kibana Integrations and used for product, category, search and order functionalities.

iyipay-java API client developed by iyzico is integrated and used for the project at the payment service.

Reference: https://github.com/iyzico/iyzipay-java

Architectural Diagram

NOTE: Check docs or diagrams for internal service calls and Kafka events.

Elasticsearch → product index as example

Technologies

Software architectures and principles:

• Microservices
• API gateway
• Distributed systems
• Domain driven design
• Rich domain model
• Event driven architecture
• CQRS (product, search)
• Monitoring, observability
• Exception handling

Technologies:

• Java 21
• Spring Boot 3.3.1
• Spring Security
• iyzipay-java API Client
• Maven
• GitHub Actions
• Elasticsearch
• Kibana
• Elastic Agent and Fleet Server
• Elastic APM and OpenTelemetry
• Docker
• PostgreSQL
• MongoDB
• Redis
• Kafka

Event Driven Architecture

NOTE: Check docs or diagrams for asynchronous messaging with Kafka events.

• ProductPublished
• ProductUnpublished
• OrderCreated
• OrderReceived
• PaymentReceived

Documentation

Refer to the docs section for setup and development of the project. It includes these parts:

• 1. Set Up iyzipay Java Client for Payment service
  • 1.1. Get API Key for iyzipay Java Client
  • 1.2. Use iyzico Sandbox Environment for Order Details
  • 1.3. Payment Details
• 2. Set Up Environment Variables
• 3. Run Docker Containers
• 4. Run Elasticsearch and Kibana
  • 4.1. Set up Elasticsearch and Kibana
  • 4.2. Get Elastic's Sample eCommerce Data
  • 4.3. Get Product Data for Elasticsearch
  • 4.4. Get Category Data for Elasticsearch
  • 4.5. Get Product Data for PostgreSQL
  • 4.6. Get Customer Data
  • 4.7. Create Order Index at Elasticsearch
  • 4.8. Go to Kibana Index Management
• 5. Use Kibana Observability
  • 5.1. Set Up Fleet Server and Elastic Agent
  • 5.2. Add Kibana's Docker Integration
  • 5.3. Add Kibana's Redis Integration
  • 5.4. Use Elastic APM (Application Performance Monitoring)
  • 5.5. Use OpenTelemetry
• 6. Use Search Functions
• 7. Run Backend Services
  • auth
  • basket
  • config-server
  • customer
  • discovery
  • gateway
  • notification
  • order
  • payment
  • product
  • search

New Features

• Running the project in Kubernetes environment:
  • minikube
  • kubectl
  • helm
  • kustomize

This part is under development and will be released with new version of the project.

Contributing

Contributions are welcome! If you have suggestions or want to improve the code, please check Contributing section.

License

Released under the MIT License.