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Batch Date: Nov 12th @7:00AM

Faculty: Mr. Sunil (Senior Software Engineer)

Duration : 2 Months

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 8885252627, 9246212143, 80 96 96 96 96

Syllabus:

SPRING BOOT & MICRO SERVICES
(Cloud Integrations with AWS, AZURE, GCP)

Pre-Requisites: Core Java

What we cover before Spring Boot:

• Basics of Spring (Required for Spring Boot)
• Basics of JPA/Hibernate (Required for Spring Boot)
• Basics of JAX -RS (Required for Spring Boot)

Legacy Frameworks Introduction

• Spring Annotations
• JPA Annotations
• Rest Service Annotations

Introduction to Spring Boot

• Types of Software Architectures
• SOA and Monolith Architecture
• Why Microservices
• Detailed MicroService Architecture
• App Layer
• Business Layer
• Enteprise Layer
• Infra Layer
• Need of Spring Boot
• Difference between Spring & Spring Boot
• Advantages with Micro Services
• Limitations of Microservices and Apporaches to Overcome

Building Spring Boot Application

• Normal Spring Manual Approach
• Maven Overview
• Spring Initializer
• STS
• Eclipse with STS Plugin
• Understanding the Spring Boot auto configuration

Rest Annotation with In Memory Database & CRUD Operations

• H2
• Derby
• HSQL
• Redis Cache
• PostMan or Swagger Overview
  

Rest Annotation with Relation DB

• MySql
• PostGresSQL

JPA Repository Concepts

• Crud Repository
• JPA Query Concepts
• Many to Many Mappings Usage with Derived Query
• NamedQueries
• QueryAnnotation
• AsyncResults
• Pagination and Sorting
  

Transaction Management

• ACID PROPERTIES
• PROPOGATION LEVELS
• HANDS ON WITH REQUIRED AND REQUIRES NEW
• AOP Integration

Spring Boot Security

• Basics
• Basic Authentication
• Form Based Authentication
• Authorization
• Role Based Access Control
• Attribute Based Access Control
• JWT
• SAML,OAUTH2
• FACE BOOK INTEGRATION
• GIT Hub Integration
• Data Base Encryption with Basic

Spring Cloud Integrations with Aws , Azure and GCP

• Introduction
• Cloud Architecture
• Using Aws S3 bucket, Ec2 ,IAM etc.. services in Spring Boot App
• Using Azure Blob Storage in Spring Boot App
• Using GCP cloud storage , pub sub model in Spring Boot App
• Cloud application benefits
  

Micro Services Design Considerations

• Micro Services Introduction
• Principle and Characteristics
• Use cases and Benefits
• Challenges
• Design standards
• Micro Services Communication
  • Synchronous
  • Asynchronous
• Pitfalls
• Micro Services per JVM?
• Micro Services share the data stores?
• Micro Services Transaction boundaries
• User Interfaces integration with Micro Services
• Challenges in Micro Services implementation
  

Service Discovery & Load Balancing

• Service registry (Eureka, Consul, Zookeeper)
• Client-side vs Server-side discovery
• Load balancing strategies (Ribbon, Spring Cloud LoadBalancer)

Resilience & Fault Tolerance

• Circuit Breaker (Resilience4j, Hystrix)
• Retry patterns
• Bulkhead & Timeout
• Distributed logging & tracing (Zipkin, Sleuth, Jaeger)

Spring Cloud Config

• Introduction
• Setup version control repository
• Integration with repository

Netflix

• Introduction
• Eureka Server & Eureka Client
• Feign Client, Ribbon Fault Tolerance Concepts
• Circuit Breaker Pattern
• Hysterics Concepts

Hystrix Dashboard API Gateway

• Introduction to ZUUL
• Design Standards
• Integration

Banking Application end to end

• Introduction
• Eureka Server & Eureka Client & API GATEWAY
• Rest Template
• Ribbon
• Introduction to ZUUL
• Design standards
• Integration

Fault Tolerance Concepts

• Circuit Breaker Pattern
• Hystrics Concepts, Hystrix Dashboard
• Resillency

Messaging Queue Concepts (CloudBus)

• Apache KAFKA/RabbitMQ
• Event Driven Architecture
• JMS Overview
• Spring Boot AOP
• Spring Boot Cache
• EH Cache integration
• Spring MVC vs JAX-RS
• Rest Integration Test Cases

Security in Microservices

• Authentication & Authorization (OAuth2, JWT)
• API security best practices
• HTTPS & Certificates

Containerization & Deployment

• Docker basics for microservices
• Docker Compose for local orchestration
• Kubernetes fundamentals (Pods, Services, Ingress)
• Helm charts for microservices deployment

Monitoring & Observability

• Centralized logging (ELK Stack, Loki, Fluentd)
• Metrics collection (Prometheus, Micrometer), Dashboards (Grafana, Kibana)

Advanced Patterns

• Event-driven microservices
• Saga orchestration vs choreography
• Strangler fig pattern (for migrating monoliths)
• Sidecar pattern
• API composition

Hands-on Projects

• Build a small microservices system (e.g., E-commerce, Food Delivery, Banking)
• Service 1: User Service (Auth + Profile)
• Service 2: Product/Inventory Service
• Service 3: Order Service (integrates with Payment)
• Integrate with API Gateway, Eureka, Kafka, Docker, Prometheus

Cloud & DevOps for Microservices

• Deploying microservices to AWS/Azure/GCP
• CI/CD with Jenkins/GitHub Actions/GitLab