Backend Developers
You have built monolithic applications and want to understand when and how to move to microservices — without creating a distributed monolith.
Microservices Architecture Training (Architect-Led)
Learn how to decompose monoliths, design service boundaries, implement inter-service communication, and handle the real challenges of distributed systems. This training covers the patterns, trade-offs, and operational complexity that tutorials skip — guided by an architect who has designed and migrated production microservices at scale.
Most microservices training teaches you to split code into smaller services. That is the easy part. The hard part is deciding where to draw boundaries when your domain is messy, choosing between synchronous calls and event-driven flows when both have failure modes, and debugging a distributed transaction that silently lost an order at 2 AM. This training focuses on those real decisions — the ones you face after your first deployment, not before it. You will work through actual migration scenarios, analyze failure modes in distributed systems, and build the operational instincts that separate architects from developers who just know the vocabulary.
Who this training is for
Engineers ready to think in distributed systems.
Tech Leads & Senior Engineers
You are leading a microservices migration or greenfield project and need to make architectural decisions about service boundaries, communication patterns, and data ownership.
DevOps & Platform Engineers
You manage Kubernetes clusters and CI/CD pipelines for microservices and want to understand the architecture decisions that make your operational life easier or harder.
Architects Preparing for Roles
You are targeting architect positions and need hands-on depth in distributed system design, not just whiteboard-level knowledge.
What you will learn
Production-focused microservices curriculum.
Service Decomposition & Bounded Contexts
Apply Domain-Driven Design to identify natural service boundaries. Learn to avoid the premature decomposition trap that creates tightly coupled services with shared databases.
Inter-Service Communication (Sync vs Async)
Understand the trade-offs between REST, gRPC, and message-based communication. Know when synchronous calls create dangerous coupling and when async introduces complexity you do not need.
Event-Driven Architecture Patterns
Design systems around domain events using Kafka and RabbitMQ. Implement event sourcing, CQRS, and eventual consistency patterns that actually work in production.
API Gateway & Service Mesh
Configure API gateways for routing, rate limiting, and authentication. Understand when a service mesh like Istio adds value versus when it adds unnecessary operational burden.
Data Management in Microservices
Implement database-per-service pattern, handle data consistency across services, and design query patterns when data lives in multiple services with different storage technologies.
Saga Pattern & Distributed Transactions
Build choreography and orchestration-based sagas for multi-service business processes. Handle compensation logic, idempotency, and the edge cases that make distributed transactions hard.
Resilience Patterns (Circuit Breaker, Retry, Bulkhead)
Implement circuit breakers, retry with backoff, bulkhead isolation, and timeout policies. Understand cascading failure scenarios and how to design systems that degrade gracefully.
Deployment Strategies (Blue-Green, Canary, Rolling)
Design deployment pipelines for microservices on Kubernetes. Implement blue-green deployments, canary releases, and rolling updates with proper health checks and rollback strategies.
Real production projects
Build systems that mirror real-world challenges.
Decompose a Monolithic E-Commerce System
Take an existing monolithic e-commerce application and systematically extract services. Identify bounded contexts, define API contracts, implement the strangler fig pattern, and handle data migration without downtime.
Spring Boot
Domain-Driven Design
Strangler Fig
PostgreSQL
Docker
Event-Driven Order Processing with Kafka
Build an order processing pipeline where order placement, payment, inventory, and shipping services communicate through Kafka events. Handle out-of-order messages, duplicate events, and service recovery scenarios.
Apache Kafka
Spring Cloud Stream
Event Sourcing
Schema Registry
Implement Saga Pattern for Distributed Transactions
Design and implement an orchestration-based saga for a travel booking system where flight, hotel, and car rental services must coordinate. Build compensation handlers for partial failures and ensure idempotent processing.
Saga Orchestrator
Compensation Logic
Idempotency
Redis
Kubernetes
Training format
Structured for real skill building.
Weekly 1:1 / Batch Sessions
60-90 minute live sessions focused on architecture decisions, design reviews, and hands-on problem solving. Not lectures — collaborative working sessions.
Hands-On Assignments
Real implementation work between sessions. Build actual services, write integration tests, set up deployment pipelines, and debug distributed system failures.
Architecture Reviews
Submit your designs for detailed review. Get feedback on service boundaries, data flow, failure handling, and operational concerns before you write code.
Ongoing Support
Async guidance between sessions via chat. Share your work challenges, ask questions about trade-offs, and get quick feedback on design decisions.
Your instructor
Learn from a practicing architect.
Vijaykumar NJ
Software Architect • 20+ Years Experience
- Designed and migrated production microservices architectures across e-commerce, compliance, and enterprise platforms
- Hands-on experience with Spring Boot, Kafka, Kubernetes, and cloud-native patterns at scale
- Led distributed system design for Fortune 500 companies and high-growth technology organizations
- Deep expertise in event-driven architecture, saga patterns, and resilience engineering
- Active practitioner who builds systems — not just someone who teaches about them
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