juliherms/e-cinema-microservices

Microservices Architecture with Spring Cloud services ; Netflix OSS (Eureka, Hystrix etc.)

E-Cinema Application

Example of an application in Spring Boot and Netflix OSS using fundamentals of best practices microservice architecture.

Tools

• Java SE Development Kit
• Spring Tools IDE
• Maven
• Docker

Methodologies and Patterns

• DDD
• TDD
• Clean Code
• Solid

Built with:

• Spring Boot
• Maven

Microservices Architecture

Requeriments

• The project follows CloudNative recommendations and The twelve-factor app .

Challenges in microservices architecture

• Configuration Management
• Dynamic Scalling Up and Down
• Load Distribution
• Visibility and Monitoring
• Common Feature Implementation
• Fault Tolerance

Solution

Microservices

Microservices	Description
Service Discovery	Eureka server
Authorization-Service	Port:8085 Responsible to allow access to microservices
Ticket-Service	Port:9192 Responsible to provide access to ticket
Payment-Service	Port:9191 Responsible to process payments from ticket or products
Product-Service	Port:9193 Responsible to provide products
Config-Server	Port:9196 Responsible to provide information and parameters for common application properties

Docker Containers

#container responsible to storage cache
docker run -it --name redis -p 6379:6379  redis:5.0.3
#container responsible to persist ticket data
docker run -- name db_postgres -e POSTGRES_PASSWORD=your_password -p 5432:5432 -d postgres 
#container responsible to persist payment data
Docker run –- name mongodatabase -p 27017:27017 -d -t mongo

Cache

Cache is one of the approaches to optimize access to systems data, where we avoid repetitive requests in the original data sources, which are usually large structures, complex and not always performance, so with cache, we start to consult more optimized locations, which provide quick access through keys.

Configuration Using with @CacheEvict and @Cacheable annotations

Hystrix

The Hystrix Dashboard allows you to monitor Hystrix metrics in real time.

ELK Stack: Elasticsearch, Logstash, Kibana

Stack	Description
Elasticsearch	NoSQL database based on the Lucene search engine
Logstash	Log pipeline tool that accepts inputs/logs from various sources
Kibana	Kibana is a visualization UI Layer

Capture logs from Logstash

Custom Dashboard with Kibana