Microservices Architecture
Design Scalable Distributed Systems
Master microservices architecture from design to deployment. Learn Spring Cloud, Docker, Kubernetes, Kafka, and cloud-native patterns. Build resilient, scalable distributed systems. Includes complete IDE setup, debugging distributed systems, and AI-assisted architecture design.
Course Curriculum
1Microservices Fundamentals & Environment Setup(1.5 weeks)
- Microservices vs Monolith: When and why
- IDE setup: IntelliJ IDEA for multi-module projects
- Running multiple services locally
- Port management and service configuration
- Domain-Driven Design (DDD) principles
- Bounded contexts and aggregates
- Service decomposition strategies
- API-first design approach
- Using AI (ChatGPT) for architecture design
- Setting up shared libraries
- Database per service pattern
- Polyglot persistence
2Spring Cloud Core Components(2 weeks)
- Spring Cloud overview and versioning
- Service Discovery with Eureka
- Eureka Server and Client setup
- Self-preservation mode
- Config Server for centralized configuration
- Git-backed configuration
- Refreshing configs at runtime
- API Gateway with Spring Cloud Gateway
- Route configuration and predicates
- Filters: pre, post, and global
- Rate limiting in Gateway
- Load balancing with Spring Cloud LoadBalancer
- Client-side vs server-side load balancing
3Inter-Service Communication(2 weeks)
- Synchronous communication: REST and OpenFeign
- Declarative REST clients with @FeignClient
- Timeout and retry configuration
- gRPC for high-performance communication
- Protocol Buffers basics
- Asynchronous communication with Kafka
- Kafka producer and consumer setup
- Event-driven architecture patterns
- Event sourcing basics
- CQRS (Command Query Responsibility Segregation)
- Message schema evolution
- Dead letter queues and error handling
4Resilience & Fault Tolerance(1.5 weeks)
- Distributed system failure modes
- Resilience4j introduction
- Circuit Breaker pattern deep dive
- States: Closed, Open, Half-Open
- Configuring thresholds and timeouts
- Retry pattern with exponential backoff
- Rate Limiter pattern
- Bulkhead pattern for isolation
- Time Limiter for timeouts
- Fallback strategies
- Combining resilience patterns
- Saga pattern for distributed transactions
- Choreography vs Orchestration
5Containerization with Docker & Compose(1.5 weeks)
- Dockerfile optimization for Java
- Multi-stage builds for smaller images
- JVM tuning in containers
- Docker Compose for local development
- Service dependencies and health checks
- Networking between services
- Volume mounts for development
- Environment variables and secrets
- Docker Compose profiles
- Building images in CI/CD
- Container registries (DockerHub, ECR, GCR)
6Kubernetes Deployment(2 weeks)
- Kubernetes architecture recap
- Deployments for microservices
- Services: ClusterIP, NodePort, LoadBalancer
- ConfigMaps and Secrets
- Resource requests and limits
- Liveness and readiness probes
- Horizontal Pod Autoscaler (HPA)
- Ingress for external access
- Helm charts for packaging
- Values files for environments
- Helm hooks and dependencies
- GitOps with ArgoCD/Flux basics
- Blue-Green and Canary deployments
7Observability: Tracing, Logging & Metrics(1.5 weeks)
- Three pillars of observability
- Distributed tracing concepts
- OpenTelemetry integration
- Zipkin and Jaeger setup
- Trace context propagation
- Centralized logging with ELK Stack
- Structured logging with JSON
- Log correlation with trace IDs
- Metrics with Micrometer
- Prometheus scraping and PromQL
- Grafana dashboards
- Alerting and on-call strategies
- SLOs, SLIs, and SLAs
Microservices Architecture
12 weeks • Advanced
- 100+ hours content
- 12 weeks duration
- 5 hands-on projects
- Certificate included
- Doubt support
- Lifetime access
✅ Lifetime access • ✅ Job assistance
Related Courses
Expand your skills with these complementary courses
High Level Design (HLD)
Architect Large-Scale Distributed Systems
Low Level Design (LLD)
Master Object-Oriented Design & Design Patterns
Spring Framework
Master Enterprise Java Development
Frequently Asked Questions
Common questions about Microservices Architecture
In this course, you will learn: Set up multi-service development environment, Design microservices using Domain-Driven Design (DDD), Decompose monolith into microservices strategically. The course covers 100+ hours of content across 7 comprehensive modules.
The prerequisites for this course are: Completed Spring Boot course or equivalent experience, Docker fundamentals (build, run, network), Basic Kubernetes concepts helpful, Understanding of HTTP, TCP/IP, DNS, Git and CI/CD basics. If you're unsure about your current level, book a free demo session and our counselors will guide you.
The Microservices Architecture course is 12 weeks long with 100+ hours of hands-on content. You'll work on 5 real-world projects. You also get lifetime access to all recordings and materials.
This course is taught by Venkat Raghavan, Principal Architect & Ex-Netflix with 18+ years of industry experience. Designed systems at Netflix handling 1B+ requests/day. Author of two books on distributed systems. Speaker at QCon, Strange Loop, and SpringOne. Trained architects at 50+ Fortune 500 companies.
After completing the Microservices Architecture course, you can apply for roles like: Microservices Developer (₹18-40 LPA), Cloud/Solutions Architect (₹35-75 LPA), Platform Engineer (₹28-55 LPA), Principal Engineer (₹50-100 LPA). Our students have been placed at companies like Netflix, Uber, Swiggy.
Yes! We provide comprehensive placement assistance including resume building, LinkedIn profile optimization, mock interviews (technical + HR), coding round preparation, and direct job referrals to our network of 100+ hiring partners. Our placement rate is 95%.
Yes, we offer both live online training and classroom training in Bangalore. Online students get live interactive sessions, screen sharing, doubt resolution, recorded sessions for revision, and the same placement support as classroom students.
All our courses are non-refundable. We encourage you to attend a free demo session before enrolling to ensure the course is right for you. In exceptional cases, one-time batch transfer may be allowed with management approval.