AI-Assisted Microservices with Spring Cloud
Certificate of Completion by Code.Hub
This advanced course teaches developers how to build, integrate, and manage microservices using Spring Boot and Spring Cloud. Participants will gain hands-on experience in creating resilient, scalable services fit for modern cloud-native applications.
By the end of this module, participants will be able to:
- Design and build scalable microservices using Spring Boot.
- Implement service discovery, load balancing, and fault tolerance with Spring Cloud.
- Use API gateways, configuration servers, and centralized logging for microservice management.
- Apply communication patterns such as REST and asynchronous messaging (e.g., RabbitMQ/Kafka).
- Deploy and monitor microservices in distributed environments using industry best practices.
Introduction to Microservices
- History flashback; The evolution of software design & architecture
- Monolithic Applications
- Service Oriented Architecture (SOA)
- Microservices design considerations
- CQRS
- Saga Pattern
- Overview of key architectural components covering needs such as Distributed/versioned Configuration
- Service registration and discovery
- Routing
- Service-to-service calls
- Load balancing
Project setup, design and implementation
- A Journey from Monolithic Applications to Microservices
- Demonstration project source code go through
- Go through project structure and internal architecture
AI showcase: explore and explain the monolith project structure and architectural layers
- Revisit project structure to facilitate the transition to microservices, resolve dependencies, setup build mechanism
- Refactor source code and how to preserve existing architectural layers (Controller, Service, Repository)
AI showcase: demonstrate scaffolding a new microservice module and reviewing the refactored layer structure
Spring Cloud
- Service Discovery using Eureka
- Rest Clients using Feign
- Client-side Load Balancing
ΑΙ showcase: generate a Feign client interface and Eureka configuration from scratch
- Gateway (Load Balancing, Predicates, Filters etc)
ΑΙ showcase: set up gateway route and filter configurations live
- Centralized Configuration using Config Server serving multiple environments (e.g. Development, QA, Production)
ΑΙ showcase: scaffold environment-specific config files for all three environments
- Distributed Tracing using Sleuth and Zipkin
ΑΙ showcase: instrument a service with tracing and interpret the output
- Fault Tolerance and Circuit Breaker with Resilience4j
ΑΙ showcase: generate a circuit breaker pattern with fallback handler
- Roles: Backend Developers, Software Engineers, DevOps Engineers
- Seniority: Mid- to senior-level professionals building cloud-native or enterprise applications
• Strong Java programming skills
• Working knowledge of Spring Boot
• Basic understanding of REST APIs and distributed systems
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
Interested for
