This course provides a complete and practical understanding of building, deploying, and scaling Microservices using Spring Boot and the modern cloud-native ecosystem. It is ideal for developers transitioning from monolithic applications, IT professionals seeking to upskill, and students preparing for enterprise-level development roles.
Last updated: January 25, 2026
A hands-on deep dive into building microservices using Spring Boot, Spring Cloud, Docker, Kubernetes, API Gateways, and cloud-native design patterns.
Master microservice decomposition, synchronous and asynchronous communication, service discovery, externalized configuration, resilience patterns, deployment, and monitoring.
Software Developers, Java Programmers, DevOps Beginners, Cloud Engineers, and Students looking to enter enterprise application development.
Good understanding of Core Java and basic familiarity with Spring Boot is recommended.
Learn via live virtual classes, interactive Q&A, and hands-on labs.
Get classroom training with instructor-led sessions and real-time mentoring.
Understand the evolution from monolithic systems to microservices and how Spring Boot accelerates microservice development.
Microservices vs Monolithic Architecture
Principles of Microservices Design
Spring Boot Essentials
Creating a Simple Microservice
Learn dynamic service discovery using Spring Cloud Netflix Eureka.
Eureka Server Setup
Service Registration
Service Discovery
Load Balancing with Spring Cloud LoadBalancer
Externalize configuration using Git-backed Config Server.
Setting up Config Server
Client Configuration Retrieval
Profiles and Environment-Based Configurations
Auto-Refresh and Webhooks
Implement routing, filtering, and authentication using Spring Cloud Gateway.
Gateway Setup
Route Configuration
Filters and Predicates
Circuit Breaker Integration
Apply resilience patterns to make microservices robust and reliable.
Circuit Breaker Pattern
Rate Limiting and Bulkhead
Retry and Timeouts
Metrics and Monitoring
Build scalable event-driven architectures using Kafka or RabbitMQ.
Introduction to Messaging
Producing and Consuming Messages
Designing Event-Driven Workflows
Saga Pattern Basics
Package and run microservices in portable Docker containers.
Dockerfile for Microservices
Multi-Stage Builds
Docker Compose for Local Microservices
Optimizing Docker Images
Deploy, scale, and manage microservices on Kubernetes.
Pods, Deployments, and Services
ConfigMaps & Secrets
Ingress & Load Balancing
Horizontal Pod Autoscaling
Implement logging, metrics, and tracing for microservices health monitoring.
Centralized Logging with ELK/EFK
Metrics with Prometheus
Visualization with Grafana
Distributed Tracing with Zipkin/Jaeger
Enable automated build, testing, and deployment pipelines.
Introduction to CI/CD
Building Pipelines with GitHub Actions/Jenkins
Docker Build & Push Automation
Kubernetes Deployment Automation