🏛️Advanced
High Level Design (HLD)
Architect Large-Scale Distributed Systems
8 weeks Live online
5(420)1,200+ learners
Fees on request
View🔗ArchitectureAdvanced
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.
4.9(520)1,500+ students1,500+100 hours • 12 weeks100h • 12 weeks
Course Curriculum
1Microservices Fundamentals & Environment Setup1.5 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 Components2 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 Communication2 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 Tolerance1.5 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 & Compose1.5 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 Deployment2 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 & Metrics1.5 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
Live Online + 1-on-1 Training
- 100+ hours live content
- 12 weeks duration
- 5 hands-on projects
- Certificate included
- Doubt support
- Lifetime access
✅ Lifetime access • ✅ Job assistance
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❓ FAQ
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 live by experienced industry professionals who work hands-on with these technologies every day. You learn current, real-world practices with live mentorship, code reviews and an optional 1-on-1 track.
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 — all training is 100% live online, with an optional 1-on-1 (1:1) track. You get live interactive sessions, screen sharing, instant doubt resolution, recorded sessions for revision, and full placement support.
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.
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