Master modern backend engineering with an updated syllabus that now includes gRPC and production-grade security using HashiCorp Vault, AWS SSM Parameter Store, and AWS KMS.
This program is designed to help you build production-grade, scalable, secure, and cloud-ready backend systems with real-world architecture patterns, deployment workflows, and interview-focused learning.
✅ Add gRPC after the Microservices module
Because it naturally fits with inter-service communication, internal contracts, and high-performance service-to-service calls.
✅ Add Production-Grade Security after Auth & RBAC and before Deployment
Because secret management, encryption, and secure configuration handling are core platform concerns before moving into cloud deployment.
✅ Mention AWS KMS again in the AWS Deployment module
To connect the security concepts with real production implementation on AWS.
✅ Course roadmap and expected outcomes
✅ How real backend teams build and ship services
🛠️ Local setup: Node.js, NestJS, PostgreSQL, Docker
📈 Final capstone architecture overview
✅ Node.js runtime, event loop, async flow
✅ NestJS architecture: modules, controllers, services
✅ DTOs, validation, guards, interceptors
📈 Project structure and clean coding patterns
✅ Relational modeling fundamentals
✅ Schema design, relations, indexes, constraints
🛠️ TypeORM entities, repositories, migrations
📈 Query optimization and pagination
✅ REST vs GraphQL
✅ Schema design, queries, mutations, resolvers
✅ Validation, error handling, response patterns
📈 Secure and scalable API contracts
✅ JWT authentication flow
✅ Refresh token design
✅ Role-based access control
🛠️ Permission-based system design through API Gateway
✅ Monolith vs microservices
✅ Service decomposition strategy
✅ API Gateway design
📈 Synchronous vs asynchronous communication patterns
✅ Where gRPC fits in microservices
✅ Protocol Buffers and contract-first design
🛠️ NestJS gRPC transport basics
✅ When to choose gRPC vs REST vs GraphQL
📈 Performance, timeouts, retries, and observability considerations
✅ Subgraphs and gateway concepts
✅ Domain separation across services
✅ Federated auth and request flow
📈 Scaling federated backend systems
✅ RabbitMQ fundamentals
✅ Kafka for event streaming
✅ AWS SQS basics and use cases
🛠️ BullMQ for background and CPU-intensive jobs
📈 Retry, DLQ, idempotency, eventual consistency
✅ Redis fundamentals
✅ Caching strategies for APIs
✅ Session and token storage patterns
📈 Streams and pub/sub basics
✅ Security layers in backend architecture
✅ Secrets management with HashiCorp Vault
✅ AWS SSM Parameter Store for configuration and secret retrieval
✅ AWS KMS for encryption key management
🔐 Encrypting secrets at rest and in transit
📈 Token signing, key rotation, auditability, and least-privilege IAM
✅ Global error handling strategy
✅ Circuit breaker pattern
✅ Saga pattern for distributed transactions
📈 Failure handling, retries, backoff, fallback
✅ Containerizing NestJS services
✅ Docker Compose for local multi-service setup
✅ Environment handling and production readiness
📈 Build and release flow basics
✅ EC2, ECS, Lambda, and API Gateway
✅ Load balancing and autoscaling
🔐 Using KMS-backed secrets and configuration in cloud deployments
📈 Choosing the right deployment model
✅ Logging strategy for microservices
✅ Tracing request flow across services
✅ AWS X-Ray overview
📈 Production troubleshooting practices
🛠️ Build auth, gateway, and core services
🛠️ Add GraphQL, messaging, cache, and async jobs
🛠️ Add gRPC and secure secret management
🚀 Deploy to AWS and present architecture confidently
✅ Format: Self-Paced — all modules and projects explained step by step
✅ Materials Included: PDFs, source code, implementation guidance
✅ Access: Valid for Lifetime
✅ One-time fee
✅ The program is valid for lifetime
💰 UPI: cmanna@upi
💰 UPI: cmanna@icici
💰 UPI / Mobile Number: 9733685563
📱 WhatsApp for any queries: +91-9733685563
✅ Production-grade backend engineering focus
✅ Real-world architecture patterns
✅ Cloud deployment and scaling concepts
✅ Security-first backend design
✅ Interview-ready backend and system design preparation