BUY Event-driven Microservices Spring Boot, Kafka And Elastic

Event-driven Microservices Spring Boot, Kafka And Elastic



Hi there! My name is Ali Gelenler. I'm here to help you learn event-driven microservices architecture by applying best practices for real-life challenges. In this course, you will focus on the development of microservices. With the help of microservices you can independently develop and deploy your application components . You can also easily scale services according to each service's own resource needs, for example you can scale better and create more instances of a service that requires more requests.


You can always use the latest versions for spring boot, spring cloud and other dependencies in this course. Please just follow the last section's lectures to see the required code and configuration changes for updated versions.

When moving from a monolith application to microservices architecture, some challenges will arise as a result of having a distributed application and system. In this course you will learn how to deal with these challenges using event-driven architecture (EDA) architecture with Apache Kafka.

With an event-driven architecture;

• You will truly decouple the services and create resilient services because a service has no direct communication with other services
  
  
• You will use asynchronous/non-blocking communication between services
  
  
• You will use an event/state store (Kafka), and remove the state from the services for better scalability
  

You will develop a microservice architecture from scratch using the most recent software platforms, technologies, libraries and tools, following best practices, applying microservices patterns and using Java, Spring boot, Spring cloud, Spring Security, Kafka and Elasticsearch. We will also cover Event sourcing and Event-driven services using Kafka as the event store.

The microservices patterns that you will be implementing are:

• Externalized configuration with Spring Cloud Config
  
  
• CQRS with Kafka and Elastic search
  
  
• Api versioning for versioning of Rest APIs
  
  
• Service Registration and Discovery with Spring Cloud and Netflix Eureka
  
  
• Api Gateway with Spring Cloud Gateway
  
  
• Circuit breaker with Spring Cloud Gateway and Resilience4j
  
  
• Rate limiting with Spring Cloud Gateway and Redis to use Redis as the Rate limiter
  
  
• Distributed tracing with SLF4J MDC, Spring Cloud Sleuth and Zipkin
  
  
• Log aggregation with ELK stack (Elasticsearch, Logstash and Kibana)
  
  
• Client side load balancing with Spring Cloud Load Balancer
  
  
• Database per Service
  
  
• Messaging between microservices using Kafka