Duration 5 days – 35 hrs
Overview
This comprehensive training course focuses on teaching the best practices in designing and building robust system architectures, service architectures, and microservices using Spring Cloud. Participants will learn how to design scalable, maintainable, and high-performance solutions by applying the principles of system and service architecture in conjunction with the powerful Spring Cloud framework. The course will provide hands-on experience with key components such as service discovery, load balancing, API gateways, and more, while also covering best practices for microservice-based architectures. This training course will provide your team with the necessary skills and knowledge to design and implement effective system architectures, service architectures, and microservices solutions using Spring Cloud. By focusing on best practices in solutioning, participants will be better equipped to create scalable, maintainable, and resilient applications in the cloud.
Objectives
- Understand the key principles and practices behind system and service architectures.
- Learn the core concepts and components of Spring Cloud, including service discovery, configuration management, and fault tolerance.
- Design scalable, fault-tolerant, and maintainable microservices with Spring Cloud.
- Apply best practices in microservices architecture for building cloud-native applications.
- Explore real-world scenarios and case studies to develop a deeper understanding of architecture solutioning.
Audience
- Solution Architects
- Software Architects
- Developers working with or planning to work with microservices.
- IT professionals responsible for designing and implementing scalable and cloud-native applications.
- Technical Leads and Team Members involved in architecture solutioning.
Pre- requisites
- Basic understanding of Java and Spring Framework.
- Familiarity with RESTful web services.
- Knowledge of basic system design and architectural concepts.
- Experience with cloud platforms (AWS, Azure, Google Cloud) is beneficial but not required.
Course Content
Introduction to System Architecture & Service Architecture
- Module 1: Overview of System Architecture
- Definition and principles of system architecture.
- Architectural patterns and their importance in building scalable systems.
- Understanding the different layers of a system: Data Layer, Business Logic Layer, Presentation Layer.
- Module 2: Service-Oriented Architecture (SOA)
- Core concepts of SOA and its benefits.
- Key differences between monolithic and service-oriented systems.
- Best practices for designing services and APIs in a distributed system.
- Module 3: Microservices Architecture Overview
- What are microservices and how they differ from traditional monolithic systems.
- Key benefits of microservices: scalability, fault isolation, and deployment independence.
- Principles of designing microservices: domain-driven design, autonomy, and decoupling.
Introduction to Spring Cloud and its Core Components
- Module 4: Spring Cloud Overview
- Introduction to Spring Cloud: microservice frameworks and tools.
- Key concepts in Spring Cloud: service discovery, configuration management, circuit breakers.
- Overview of Spring Boot and its integration with Spring Cloud for microservice development.
- Module 5: Service Discovery and Load Balancing
- Implementing service discovery using Spring Cloud Netflix Eureka.
- Understanding how microservices communicate and discover each other dynamically.
- Configuring Ribbon for load balancing in a distributed system.
- Using Spring Cloud Load Balancer and Netflix Ribbon for intelligent request distribution.
- Module 6: API Gateway and Routing with Spring Cloud Gateway
- Role of API Gateway in microservices architecture.
- Building an API Gateway using Spring Cloud Gateway.
- Routing requests to the appropriate microservices using Spring Cloud Gateway.
- Handling cross-cutting concerns such as authentication and logging in the API Gateway.
Advanced Microservice Concepts with Spring Cloud
- Module 7: Fault Tolerance and Resilience
- Importance of fault tolerance in a distributed system.
- Using Spring Cloud Netflix Hystrix for circuit breaking and fault tolerance.
- Configuring fallback mechanisms to ensure continuous availability.
- Introduction to Spring Cloud Resilience4j for non-blocking fault tolerance.
- Module 8: Centralized Configuration with Spring Cloud Config
- Managing external configuration with Spring Cloud Config Server.
- Storing and loading application configurations from a Git repository or file system.
- Secure management of sensitive information (e.g., passwords) with Spring Cloud Config.
- Module 9: Messaging and Event-Driven Architecture
- Messaging and communication patterns in microservices architecture.
- Using Spring Cloud Stream for building event-driven microservices.
- Integrating Spring Cloud with messaging platforms like Kafka or RabbitMQ.
Building and Deploying Microservices with Spring Cloud
- Module 10: Microservices Security
- Implementing authentication and authorization in a microservices ecosystem.
- Using Spring Security OAuth2 and Spring Cloud Security for securing services.
- Configuring API security with JWT tokens and OAuth2 flows in Spring Cloud.
- Module 11: Monitoring and Observability
- Using Spring Cloud Sleuth and Zipkin for distributed tracing.
- Monitoring with Spring Boot Actuator and Spring Cloud.
- Centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana) and Spring Cloud.
- Module 12: Deployment and Continuous Integration (CI)
- Preparing Spring Cloud-based microservices for deployment.
- Containerizing microservices with Docker and deploying to Kubernetes.
- Setting up CI/CD pipelines for microservices using Jenkins or GitLab CI.
- Module 13: Best Practices in Solutioning and Architecture Design
- Case studies on designing high-performing, scalable microservices solutions.
- Common pitfalls in microservices architecture and how to avoid them.
- Best practices for managing and evolving microservices in production.
