Intermediate Node.js

Course Overview

Duration: 5 days
Level: Intermediate
Prerequisites: Solid Node.js fundamentals, Express.js experience, JavaScript ES6+, basic database knowledge, familiarity with RESTful APIs

Day 1: Advanced Express.js & Middleware Patterns

Advanced Express Architecture

• Application and router-level middleware deep dive

• Error-handling middleware patterns and best practices

• Custom middleware creation and composition

• Middleware execution order and flow control

• Third-party middleware integration and selection

• Express application structure for scalable projects

Hands-on Lab:

• Build custom authentication middleware

• Create request logging and analytics middleware

• Implement rate limiting and security middleware

• Design middleware pipeline for API gateway patterns

Advanced Routing and API Design

• Route parameter validation and transformation

• Dynamic route generation and meta-programming

• Sub-application mounting and modular routing

• API versioning strategies (URL, header, content negotiation)

• Content negotiation and multiple response formats

• Advanced routing patterns for complex applications

Hands-on Lab:

• Implement comprehensive API versioning system

• Build dynamic route handlers based on configuration

• Create content negotiation for JSON/XML responses

• Design flexible routing for multi-tenant applications

Request/Response Processing

• Stream-based request/response handling

• File upload handling with Multer and alternatives

• Advanced body parsing and content validation

• Request preprocessing and response transformation

• Caching strategies at the application level

• Response compression and optimization techniques

Hands-on Lab:

• Build file upload system with progress tracking

• Implement streaming file downloads

• Create request/response transformation pipelines

• Add intelligent caching with cache invalidation

Security Hardening

• Helmet.js for security headers configuration

• Rate limiting with Redis-backed storage

• Input sanitization and validation with Joi/Yup

• SQL injection and NoSQL injection prevention

• XSS protection and CSRF mitigation

• Security monitoring and intrusion detection

Hands-on Lab:

• Implement comprehensive security middleware stack

• Build rate limiting with distributed storage

• Create input validation schemas for all endpoints

• Add security monitoring and alerting

Daily Project

Build a "Secure Content Management API" with advanced middleware, security hardening, and flexible routing patterns

Day 2: Database Integration & Advanced Data Patterns

Advanced MongoDB with Mongoose

• Schema design patterns for complex relationships

• Advanced query optimization and indexing strategies

• Aggregation pipeline for complex data analysis

• Mongoose middleware (pre/post hooks) and virtual fields

• Population strategies and performance optimization

• Schema validation and custom validators

Hands-on Lab:

• Design complex schema relationships (user roles, permissions, content hierarchy)

• Implement advanced aggregation pipelines for analytics

• Create custom validators and middleware hooks

• Optimize queries with proper indexing

SQL Database Integration

• Advanced PostgreSQL/MySQL with connection pooling

• Query builders (Knex.js) and ORM patterns (Sequelize, TypeORM)

• Database migrations and schema versioning

• Transaction management and ACID compliance

• Stored procedures and database functions

• Database performance monitoring and optimization

Hands-on Lab:

• Set up production-grade database connections

• Implement complex queries with joins and subqueries

• Create database migration system

• Handle distributed transactions

Data Access Patterns

• Repository pattern implementation

• Unit of Work pattern for transaction management

• Data mapper vs Active Record patterns

• Caching strategies (Redis, in-memory, CDN)

• Database connection pooling and management

• Multi-database architecture patterns

Hands-on Lab:

• Implement repository pattern with multiple data sources

• Build caching layer with Redis

• Create data access abstraction for testing

• Design read/write database separation

Data Validation and Transformation

• Advanced schema validation with Joi, Yup, or Zod

• Data transformation pipelines and ETL patterns

• Input sanitization for different data types

• Custom validation rules and async validators

• Error handling and validation reporting

• Data serialization and deserialization patterns

Hands-on Lab:

• Build comprehensive validation system

• Create data transformation pipelines

• Implement custom async validators

• Design error reporting for validation failures

Performance and Optimization

• Database query optimization and profiling

• N+1 query problem solutions

• Bulk operations and batch processing

• Connection pooling configuration

• Database monitoring and metrics collection

• Caching strategies and cache invalidation

Hands-on Lab:

• Profile and optimize slow database queries

• Implement bulk operations for large datasets

• Set up database performance monitoring

• Create intelligent caching with TTL and invalidation

Daily Project

Build a "Multi-tenant SaaS Backend" with advanced database patterns, caching, and performance optimization

Day 3: Authentication, Authorization & Security

Advanced Authentication Strategies

• JWT implementation with refresh tokens

• OAuth 2.0 and OpenID Connect integration

• Multi-factor authentication (MFA) implementation

• Social media authentication (Google, Facebook, GitHub)

• Session management and storage strategies

• Authentication middleware and route protection

Hands-on Lab:

• Implement JWT with refresh token rotation

• Add OAuth integration with multiple providers

• Build MFA with SMS/email/TOTP options

• Create session management with Redis storage

Authorization and Access Control

• Role-based access control (RBAC) implementation

• Attribute-based access control (ABAC) patterns

• Permission systems and resource-based authorization

• Dynamic permission evaluation

• Admin interfaces and user management

• Audit logging and access tracking

Hands-on Lab:

• Design flexible RBAC system

• Implement resource-based permissions

• Create admin dashboard for user management

• Build comprehensive audit logging

Security Best Practices

• Password hashing and salt strategies

• API key management and rotation

• Rate limiting and DDoS protection

• Input validation and sanitization

• Secure headers and CORS configuration

• Vulnerability scanning and security testing

Hands-on Lab:

• Implement advanced password policies

• Build API key management system

• Add comprehensive security testing

• Create security monitoring dashboard

Encryption and Data Protection

• Data encryption at rest and in transit

• Symmetric and asymmetric encryption usage

• Key management and rotation strategies

• Personal data protection (GDPR compliance)

• Secure file storage and access

• Backup encryption and security

Hands-on Lab:

• Implement field-level database encryption

• Build secure file upload/download system

• Create key rotation automation

• Add GDPR compliance features

Compliance and Monitoring

• Security logging and monitoring

• Compliance frameworks (SOC2, ISO 27001)

• Penetration testing preparation

• Security incident response planning

• Automated security scanning integration

• Security metrics and reporting

Hands-on Lab:

• Set up comprehensive security logging

• Create security incident response system

• Implement automated vulnerability scanning

• Build security metrics dashboard

Daily Project

Build a "Enterprise Authentication Service" with multiple auth methods, advanced authorization, and comprehensive security monitoring

Day 4: Real-time Features & Advanced Integrations

WebSocket and Real-time Communication

• Socket.IO for real-time bidirectional communication

• WebSocket protocol and connection management

• Room-based messaging and broadcasting

• Real-time authentication and authorization

• Scaling WebSocket connections across servers

• Performance optimization for real-time applications

Hands-on Lab:

• Build real-time chat application with rooms

• Implement real-time notifications system

• Add authentication to WebSocket connections

• Scale real-time features across multiple servers

Message Queues and Background Processing

• Redis for pub/sub and message queuing

• Bull.js for robust job processing

• Queue management and monitoring

• Error handling and retry strategies

• Scheduled jobs and cron-like functionality

• Inter-service communication patterns

Hands-on Lab:

• Implement email queue with Bull.js

• Build image processing pipeline

• Create scheduled report generation

• Add job monitoring and management dashboard

External API Integration

• Advanced HTTP client patterns with Axios

• API rate limiting and retry strategies

• Circuit breaker pattern implementation

• Webhook handling and validation

• Third-party service integration (Stripe, SendGrid, AWS)

• API composition and aggregation patterns

Hands-on Lab:

• Build payment processing with Stripe

• Implement email service with SendGrid

• Create webhook handling system

• Add circuit breaker for external services

Event-Driven Architecture

• Event emitters and custom events

• Event sourcing patterns

• CQRS (Command Query Responsibility Segregation)

• Event streaming with Apache Kafka (introduction)

• Microservice communication patterns

• Event store implementation

Hands-on Lab:

• Build event-driven order processing system

• Implement CQRS pattern for read/write separation

• Create event sourcing for audit trails

• Add inter-service event communication

File Processing and Media Handling

• Advanced file upload with chunking

• Image processing with Sharp

• Video processing and streaming

• File storage strategies (local, S3, CDN)

• Background processing for large files

• File security and virus scanning

Hands-on Lab:

• Build chunked file upload system

• Implement image resizing and optimization

• Create video streaming service

• Add virus scanning for uploads

Daily Project

Build a "Real-time Collaboration Platform" with WebSocket communication, background job processing, and external integrations

Day 5: Testing, Performance & Production Deployment

Advanced Testing Strategies

• Test pyramid: unit, integration, and e2e testing

• Mocking strategies and test doubles

• Database testing with test containers

• API testing with Supertest and custom assertions

• Load testing with Artillery or k6

• Test coverage analysis and quality metrics

Hands-on Lab:

• Build comprehensive test suite with high coverage

• Implement database integration tests

• Create load testing scenarios

• Add test automation and CI integration

Performance Monitoring and Optimization

• Application Performance Monitoring (APM) with New Relic/DataDog

• Custom metrics and monitoring setup

• Memory leak detection and prevention

• CPU profiling and optimization

• Event loop monitoring and debugging

• Database performance analysis

Hands-on Lab:

• Set up comprehensive APM monitoring

• Profile and optimize CPU-intensive operations

• Implement custom metrics collection

• Add performance alerting and notifications

Caching and Scalability

• Multi-level caching strategies

• Redis clustering and high availability

• Content Delivery Network (CDN) integration

• Horizontal scaling with load balancers

• Microservice architecture patterns

• Database sharding and replication

Hands-on Lab:

• Implement multi-level caching system

• Set up Redis cluster for high availability

• Configure CDN for static assets

• Design microservice decomposition strategy

Production Deployment and DevOps

• Docker containerization for Node.js applications

• Multi-stage Docker builds and optimization

• Container orchestration with Docker Compose/Kubernetes

• Environment configuration and secrets management

• CI/CD pipeline implementation

• Blue-green and rolling deployment strategies

Hands-on Lab:

• Containerize application with optimized Dockerfile

• Set up complete CI/CD pipeline

• Implement secrets management with Vault/K8s secrets

• Configure automated deployment strategies

Monitoring, Logging and Observability

• Structured logging with Winston and Morgan

• Log aggregation with ELK stack or Fluentd

• Distributed tracing with Jaeger or Zipkin

• Health checks and readiness probes

• Error tracking with Sentry

• Alerting and incident management

Hands-on Lab:

• Implement comprehensive logging strategy

• Set up log aggregation and search

• Add distributed tracing across services

• Create alerting rules and incident response

Production Best Practices

• Process management with PM2

• Memory management and garbage collection tuning

• Security hardening for production

• Backup and disaster recovery planning

• Documentation and API documentation with Swagger

• Team collaboration and code review processes

Hands-on Lab:

• Configure production process management

• Implement backup and recovery procedures

• Create comprehensive API documentation

• Set up code quality gates and reviews

Final Project Integration

Build a "Production-Ready E-commerce API Platform" featuring:

• Microservice architecture with multiple services

• Advanced authentication and authorization

• Real-time features (notifications, inventory updates)

• Background processing (order fulfillment, emails)

• Comprehensive testing and monitoring

• Full CI/CD deployment pipeline

• Production-grade security and performance

• API documentation and developer portal

• Scalable infrastructure design