Production Full-Stack Engineering

Monorepos, Typed API Contracts, Identity, Realtime Data & Delivery

6 modules, 30 lessons: Full-Stack Architecture & Monorepos; API Contract Design & Type-Safe Comms; Authentication, Authorization & Identity; Realtime Comms & Data Synchronization; Distributed Observability & Resilience; Production Testing, CI/CD & Deployment.

Advanced · 2 hours · 30 lessons · 58 labs

Who it is for

Advanced level.

For web developers who have shipped React, Next.js and Node.js work and want to run a whole product well: shared contracts, sign-in, realtime data, monitoring and delivery.

What you don't need yet:

What helps:

Before you start:

Take first:

Take next:

Learning paths:

Nobody needs to know everything before they start. Each course builds on the one before, so a learning path takes you there step by step.

Labs

58 labs, 30 of them graded: you write the code, it runs, and graded labs check the result. The outline lists each lesson's labs.

What is free

Start free: First module free with an account. Pro: Every course, lab, handbook, practice exam and certificate.

Course outline

Full-Stack Architecture & Monorepos

  1. Monorepo Architecture: Workspaces & Turborepo (1 lab): You can architect full-stack monorepos with pnpm and Turborepo, link shared workspace packages, resolve topological task graphs, and configure remote caching.
  2. End-to-End Type Safety: Shared Schemas & DTOs (1 lab): You can eliminate contract drift across full-stack boundaries by defining shared runtime schemas with Zod, inferring static TypeScript DTOs, and validating I/O data.
  3. Unified Build Pipelines: Caching & Dependency Graphs (2 labs): You can design unified monorepo build pipelines, calculate deterministic task input fingerprints, manage directed acyclic dependency graphs, and implement remote caching.
  4. Environment Configuration: Secrets & Multi-Stage (2 labs): You can architect resilient environment management systems, validate runtime variables with schemas, isolate browser and server secrets, and manage multi-stage deployments.
  5. Database Access & Migrations: ORM & Data Layers (2 labs): You can design decoupled data access layers, enforce transactional atomicity across operations, manage ORM query performance, and execute zero-downtime expand-and-contract migrations.

API Contract Design & Type-Safe Comms

  1. API Contract Architecture: OpenAPI 3.1 & Schema Truth (2 labs): You can establish single-source-of-truth API contracts with OpenAPI 3.1, enforce bi-directional schema validation, and prevent server contract drift.
  2. Type-Safe Client Generation: Orval & Automated SDKs (2 labs): You can generate end-to-end type-safe API clients, synthesize TanStack Query hooks with Orval, design deterministic query key factories, and manage cache invalidations.
  3. Type-Safe RPC Architectures: tRPC & Procedures (2 labs): You can architect end-to-end type-safe RPC systems with tRPC, design procedure pipelines with middleware and context, and analyze architectural tradeoffs versus REST.
  4. Resilient Error Handling: Problem Details & Envelopes (2 labs): You can standardize full-stack error handling using RFC 9457 Problem Details, design resilient client-side error normalizers, and map server validation errors directly to UI forms.
  5. API Gateway & BFF Patterns: Backend-for-Frontend (2 labs): You can architect Backend-for-Frontend services, orchestrate data aggregation across microservices, isolate frontend views from upstream changes, and implement graceful degradation.

Authentication, Authorization & Identity

  1. Session Architecture: HTTP-Only Cookies vs Tokens (2 labs): You can architect resilient session management systems, secure session storage against XSS using HTTP-only SameSite cookies, and implement CSRF defenses for stateful requests.
  2. OAuth2 & OpenID Connect: Social Auth & PKCE Flows (2 labs): You can implement OAuth 2.0 authorization code flows with PKCE, mitigate code interception and login CSRF attacks, and extract verified claims from OpenID Connect ID tokens.
  3. JWT Verification: Asymmetric Keys & Refresh Rotation (2 labs): You can verify JSON Web Tokens using asymmetric public keys, implement refresh token rotation with reuse detection, and safeguard microservice ecosystems.
  4. Role-Based & Attribute Access Control: RBAC & ABAC (2 labs): You can design hybrid RBAC and ABAC policy engines, evaluate granular resource ownership checks, and prevent Broken Object Level Authorization vulnerabilities.
  5. Multi-Tenant Identity: Tenant Isolation & Middleware (2 labs): You can architect multi-tenant SaaS systems, enforce tenant isolation through middleware and repository scoping, and prevent cross-tenant data leaks.

Realtime Comms & Data Synchronization

  1. Optimistic UI Architecture: Cache & Rollback Protocols (2 labs): You can design optimistic UI architectures, manage snapshot and rollback lifecycles during mutations, and guarantee eventual consistency between client caches and servers.
  2. Server-Sent Events: Streaming Updates & Recovery (2 labs): You can design unidirectional streaming architectures with Server-Sent Events, format SSE protocol frames, manage Last-Event-ID recovery, and contrast SSE with WebSockets.
  3. Bidirectional WebSockets: Reconnection & Heartbeats (2 labs): You can architect full-duplex WebSocket communications, detect half-open TCP connections with heartbeats, and implement jittered exponential backoff algorithms.
  4. Distributed Cache Invalidation: Redis & Tagged Purging (2 labs): You can design two-tier distributed caching architectures, implement surrogate cache tags for fine-grained invalidation, and synchronize in-memory caches using Redis pub-sub.
  5. Asynchronous Event Processing: Outbox Pattern & Queues (2 labs): You can resolve distributed dual-write inconsistencies with the Transactional Outbox Pattern, build reliable asynchronous message relays, and design idempotent consumers.

Distributed Observability & Resilience

  1. Distributed Tracing: OpenTelemetry & Traceparent (2 labs): You can implement distributed tracing using OpenTelemetry standards, propagate W3C traceparent headers across network boundaries, and stitch full-stack request spans.
  2. Structured Logging & Correlation IDs: Context Stitching (2 labs): You can architect structured JSON logging systems, stitch correlation IDs across asynchronous call stacks using AsyncLocalStorage, and redact sensitive telemetry metadata.
  3. Resilience Engineering: Circuit Breakers & Retries (2 labs): You can design three-state circuit breakers, prevent cascading failures and retry storms across microservices, and implement probationary half-open recovery protocols.
  4. Traffic Management: Sliding Window Rate Limiting (2 labs): You can design sliding window counter rate limiters, mitigate boundary burst vulnerabilities with linear interpolation, and enforce standard HTTP 429 throttling headers.
  5. Health Probes & Graceful Shutdown: Kubernetes Lifecycles (2 labs): You can design Kubernetes health probes, separate liveness from readiness semantics, and implement staged graceful shutdown sequences to eliminate deployment downtime.

Production Testing, CI/CD & Deployment

  1. End-to-End Testing with Playwright: Multi-Tier Suites (2 labs): You can architect end-to-end test suites with Playwright, utilize accessible web-first locators and auto-retrying assertions, and mock network boundaries for deterministic runs.
  2. Containerization Architecture: Multi-Stage Dockerfiles (2 labs): You can architect production-grade multi-stage Dockerfiles, minimize container footprint with distroless images, leverage layer caching, and enforce non-root security.
  3. Kubernetes Ingress, Routing & TLS Termination (2 labs): You can design and configure Kubernetes Ingress controllers, path-based routing topologies, automated cert-manager TLS termination, and upstream readiness policies.
  4. Continuous Delivery: Blue-Green & Canary Pipelines (2 labs): You can design and operate progressive delivery pipelines, implement canary traffic splitting, define composite health SLIs, and automate immediate rollbacks.
  5. Full-Stack System Verification: Capstone Integration (2 labs): You can design and execute multi-tier end-to-end integration test suites verifying data persistence, transactional outboxes, distributed traces, and resilience fallbacks.