Modern distributed applications need clearly defined service boundaries, robust communication patterns, and a reliable foundation for security, observability, scalability, and deployment. This hands‑on training shows how to design, implement, test, and operate high‑quality HTTP, streaming, and event‑driven services with ASP.NET Core 10 and the .NET 10 stack (including .NET Aspire)—on‑premises or in cloud environments (Azure, Kubernetes, container platforms). You will learn REST, gRPC, SignalR, event and background processing scenarios as well as production‑ready aspects such as authentication, authorization, rate limiting, resilience, telemetry, and performance tuning (Native AOT, trimming, profile‑guided optimization).
1. Architecture & Fundamentals
- Service boundary, monolith vs microservices vs modular monoliths
- Synchronous vs asynchronous, API vs events
- API gateway / reverse proxy (YARP) vs internal service discovery
2. .NET Aspire Integration
- AppHost: composition, resources & references
- ServiceDefaults: health checks, OpenTelemetry, structured logs
- Local orchestration versus production deployment
- Integrating external resources (databases, caches, messaging)
3. REST & HTTP APIs
- Resource model, CRUD + specialized actions
- Error design (Problem Details), pagination, search patterns, ETags
- Versioning (URL / header / media type), deprecation notices
- OpenAPI 3.1: documentation, contract‑first, code generation
- Filters, endpoint groups, binding, validation (FluentValidation / DataAnnotations)
4. Data Access & Persistence
- Entity Framework Core best practices (context lifetime, migration strategy)
- DDD aggregates vs anemic model
- Transactions & outbox pattern for reliable event publication
- Query optimization, caching (in‑memory, distributed Redis), projections (DTO/record)
5. Security
- Authentication: OpenID Connect / OAuth2, Entra ID, Keycloak alternatives
- Authorization: policies, claims, resource‑based rules
- Protections: rate limiting, anti‑forgery, input/output validation, security headers
- Secrets & configuration: user secrets, Azure Key Vault, least privilege
- Secure prompt context scoping (when using AI / Copilot in the codebase)
6. Real‑time & Streaming
- SignalR: hub design, scaling (backplane, Redis)
- Server‑Sent Events & WebSockets use cases
- gRPC: unary, server/client streaming, bidirectional, Protobuf design guidelines
- HTTP/3 & QUIC benefits for latency and reliability
7. Asynchronous & Event‑Driven Communication
- Message broker patterns (Azure Service Bus / RabbitMQ / Kafka)
- Event sourcing vs classic persistence
- Saga / process orchestration vs choreography
- Dead‑letter handling, retries, resilience policies (Polly)
8. Observability & Diagnostics
- OpenTelemetry setup (TracerProvider, MeterProvider)
- Correlating HTTP, gRPC, messaging spans
- Log quality: structured logs (JSON), Serilog / ILogger concepts
- Metrics: throughput, error rates, SLA / SLO / error budget
- Dashboards: Aspire dashboard, Grafana, Azure Monitor / Application Insights
- Failure analysis & distributed tracing triage
9. Performance & Resilience
- Caching strategies (response, data, hybrid)
- Impact of Native AOT & trimming on reflection / DI
- Profile Guided Optimization (PGO) usage
- Minimizing allocations (Span
, source generators) - Resource limits & rate limiting, circuit breaker, bulkhead
10. Quality & Testing
- Test pyramid: unit, integration, contract (OpenAPI/gRPC), end‑to‑end
- Load & stress testing (k6, Locust), chaos engineering basics
- Contract test automation (WireMock / gRPC reflection)
- Static analysis: analyzers, Roslyn, security scans (OWASP dependency check / SCA)
- Test data management, deterministic seeds
11. Deployment & DevOps
- Containerization: multi‑stage Docker, security hardening
- Platforms: Azure Container Apps, Kubernetes (AKS), App Service scenarios
- CI/CD: GitHub Actions / Azure DevOps pipelines, environments, rollbacks
- Progressive delivery: canary, blue‑green, feature flags
- Deployment with Aspire
12. Advanced Topics
- API gateway / YARP configuration, transforms & load balancing
- Source generators for DTO / mapping / DI registrations
- Integrating AI agents (Microsoft Agent Toolkit) for telemetry evaluation or intelligent diagnostics
- Migrating legacy services → modern Minimal API / Aspire structure