A tailored course, built for your situation
Architecting Scalable API Systems with TypeScript and Domain-Driven Design
Build maintainable, future-proof backends by aligning code with business intent
The situation this course is for
Teams build APIs fast at first, but without clear domain boundaries or type discipline, every change becomes risky. Versioning spirals, documentation lags, and frontend teams wait. The cost isn't technical debt, it's lost agility. What starts as rapid progress becomes a fragile bottleneck. Developers spend more time debugging contracts than building value. This course reverses that by teaching how to design systems that evolve cleanly alongside business needs.
Who this is for
A developer or tech lead working in a TypeScript environment who wants to design APIs that scale with the business, not against it
Who this is not for
Junior developers not yet working with backend systems, or professionals focused only on UI without API ownership
What you walk away with
- Map business domains to clean, type-safe API boundaries
- Design version-tolerant endpoints that support frontend evolution
- Reduce regression errors with domain-first testing strategies
- Align database schema design with API contract stability
- Lead API governance that enables team autonomy
The 12 modules (with all 144 chapters)
- What is domain-driven design
- Identifying core business domains
- Defining bounded contexts
- Creating a ubiquitous language
- Modeling entities and value objects
- Aggregates and consistency boundaries
- Domain events and state changes
- Context mapping between domains
- Integrating legacy systems
- Avoiding premature abstraction
- Domain storytelling techniques
- Validating models with stakeholders
- Types as domain documentation
- Discriminated unions for state
- Type guards and validation
- Immutability with readonly
- Modeling optional states safely
- Error handling with Result types
- Domain-specific type aliases
- Type narrowing in practice
- Generics for domain flexibility
- Type-level assertions
- Refactoring with confidence
- Testing type safety
- REST vs RPC decisions
- Versioning strategies
- Semantic endpoint naming
- Consistent error formats
- Pagination patterns
- Filtering and sorting design
- Embedding related data
- Handling nulls and defaults
- Deprecation planning
- Contract-first workflows
- OpenAPI as documentation
- Client expectations alignment
- Mapping aggregates to tables
- Event sourcing basics
- CQRS for read-write separation
- Indexing for domain queries
- Schema migration safety
- Referential integrity rules
- Soft deletes vs hard deletes
- Time-based data partitioning
- Consistency vs availability
- Database per service
- Migrating shared databases
- Auditing domain changes
- Layered architecture patterns
- Dependency injection setup
- Service orchestration
- Input validation pipeline
- Error propagation strategy
- Logging domain events
- Rate limiting design
- Caching response data
- Health check endpoints
- Background job integration
- Circuit breaker pattern
- Graceful shutdown
- Unit testing entities
- Mocking external services
- Testing value objects
- Behavior-driven development
- Integration test scope
- Testing state transitions
- Event emission checks
- Snapshot testing contracts
- Test data builders
- Property-based testing
- Testing error paths
- Test coverage priorities
- Authentication strategies
- Role-based access control
- Attribute-based permissions
- Token validation patterns
- Scope management
- Securing admin endpoints
- Rate limiting by identity
- Logging security events
- Session management
- OAuth integration
- API key lifecycle
- Audit trail generation
- Containerization basics
- CI/CD for APIs
- Blue-green deployments
- Health monitoring
- Logging structured data
- Metrics collection
- Tracing request flows
- Alerting on SLOs
- Error tracking setup
- Performance budgeting
- Capacity planning
- Incident response
- Backward compatibility rules
- Deprecation policy
- Version negotiation
- Feature flagging
- Canary releases
- Dual writing patterns
- Schema migration strategy
- Client communication plan
- Automated contract testing
- Breaking change review
- Documentation updates
- Feedback loops with users
- Writing for developer audiences
- Interactive documentation
- Embedding examples
- Keeping docs in sync
- User feedback collection
- Onboarding new developers
- Searchable reference
- Changelog management
- Version comparison
- API explorer tools
- Accessibility standards
- Localization strategy
- API review process
- Style guide enforcement
- Design by committee anti-patterns
- Centralized registry
- Team ownership model
- Cross-team alignment
- Shared libraries
- Breaking change coordination
- Performance standards
- Security review process
- Documentation audits
- Feedback loops
- Extensibility points
- Plugin architecture
- Event-driven design
- Microservices readiness
- Cloud-native patterns
- Serverless considerations
- Data privacy by design
- Internationalization
- Accessibility compliance
- Sustainability in software
- AI integration patterns
- Preparing for scale
How this maps to your situation
- You're joining a growing team using TypeScript to build full-stack apps
- You're responsible for maintaining APIs that frontend teams depend on
- You're redesigning a legacy backend to improve developer velocity
- You're leading technical direction for a product with evolving domain complexity
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for steady progress over 6, 8 weeks with real-world application.
How this compares to the alternatives
Unlike generic backend courses, this program focuses on the intersection of domain modeling, TypeScript precision, and real-world API scalability, exactly what teams at modern platforms are standardizing on.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.