Learn how experienced architects evaluate REST, RPC, GraphQL, gRPC, and event-driven APIs through the lens of tradeoffs, coupling, performance, and production realities—so you can choose the right style for the right architectural boundary.

Learn how API consumer type—public, partner, or internal—fundamentally changes trust assumptions, security boundaries, governance rigor, and operational responsibilities in production systems.

Learn how experienced architects choose between synchronous and asynchronous API interaction models by evaluating latency, coupling, resilience, consistency, and workflow complexity in real production systems.

Learn how experienced architects translate business domains into clean API contracts by identifying meaningful concepts, respecting domain boundaries, and exposing stable abstractions instead of internal implementation details.

This lecture teaches how to design API resources around business concepts, ownership boundaries, and consistency models so contracts remain clean, intuitive, and resilient as systems evolve.

Learn practical URI design principles that make APIs intuitive, predictable, and easier to evolve, including resource naming conventions, hierarchy design, consistency rules, and common anti-patterns that create long-term API friction.

This lecture teaches how to model APIs for real business operations where simple CRUD is no longer enough. You’ll learn when to use resources, commands, operation resources, and workflow APIs so your API design reflects actual business behavior, handles distributed system complexity, and communicates outcomes clearly to consumers.

In this lecture, we examine the most common API design mistakes that create long-term production pain, and learn how experienced architects recognize and avoid patterns that lead to ambiguity, coupling, performance inefficiency, and fragile distributed behavior.

Learn how HTTP methods are meant to communicate behavior—not just implementation intent—and why choosing GET, POST, PUT, PATCH, or DELETE incorrectly can create retries, caching issues, consumer confusion, and unsafe production behavior.

Learn how HTTP safety, idempotency, and cacheability shape real production behavior, influencing retries, caching, duplicate request handling, and overall API correctness in distributed systems.

Learn how production APIs use HTTP status codes as behavioral contracts—communicating success, failure, retries, security outcomes, and operational state in ways that enable predictable client automation and resilient distributed system behavior.

Learn how experienced API architects design the full contract surface—not just JSON payloads. In this lecture, we explore HTTP headers, metadata, caching semantics, content negotiation, payload ergonomics, and response envelope tradeoffs to build APIs that are clear, scalable, and production-ready.

Learn how to design API query capabilities that are flexible for consumers but predictable, performant, and safe in production—covering filtering, sorting, search semantics, projection, advanced query features, and operational guardrails against expensive query abuse.

Learn how experienced API architects choose between offset pagination, cursor pagination, and continuation tokens by balancing scalability, consistency, performance, and long-term API contract design.

Understand how production-grade APIs should handle create, update, and delete operations with clear mutation semantics, explicit business intent, safe retries, conflict awareness, and predictable data lifecycle behavior.

Learn how to design safe mutation APIs for production systems by understanding PATCH semantics, partial update risks, batch vs bulk operation models, failure handling, and the tradeoffs between consistency, scalability, and contract complexity.

Learn how production APIs handle work that cannot complete immediately by modeling async workflows, explicit operation state, client visibility, failure handling, and lifecycle governance instead of relying on fragile synchronous assumptions.

Learn how production APIs model long-running work through job resources, polling, callbacks, and webhooks—while navigating the tradeoffs of visibility, scalability, delivery reliability, and operational complexity.

Learn how production-grade APIs model failures with clear semantics, actionable error contracts, meaningful status codes, and predictable consumer behavior—so errors improve reliability instead of creating fragile integrations.

Learn how production APIs stay safe under retries by designing idempotent mutations, handling duplicate delivery correctly, and protecting business correctness across unreliable distributed systems.

Learn how production APIs behave under failure—designing intentional timeouts, safe retry strategies, and resilience patterns that prevent localized dependency issues from escalating into cascading system-wide outages.

This lecture helps learners understand how authentication choices should be driven by trust boundaries, caller identity, and operational constraints—not by fashionable standards. We compare API keys, OAuth/OIDC, JWTs, opaque tokens, and mTLS through a production architecture lens so engineers can choose the right authentication model for the right API context.

Learn how to design production-grade authorization using RBAC, ABAC, scopes, claims, least privilege, and policy enforcement patterns—while avoiding the access control failures that lead to real security incidents.

Learn how experienced architects design APIs that remain secure beyond authentication—by hardening trust boundaries, validating untrusted input, minimizing information leakage, and designing systems that fail safely under hostile conditions.

Learn how production APIs defend against abuse, enforce fair usage, protect shared backend capacity, and apply traffic governance mechanisms like rate limiting, quotas, throttling, and edge enforcement without harming legitimate consumers.

Learn how experienced architects think about API performance by reducing unnecessary work, minimizing request cost, avoiding hidden backend inefficiencies, and optimizing systems for sustainable throughput instead of misleading benchmark latency.

Learn how production systems use caching across browsers, CDNs, gateways, and applications—while navigating freshness, invalidation, and the correctness tradeoffs that make caching far more than a simple performance trick.

Learn how production APIs actually scale by using API gateways, edge controls, traffic governance, and stateless architecture principles to protect backend systems, manage distributed traffic, and scale reliably under real-world load.

Understand the real tradeoffs of distributed architecture—consistency, coordination, failure propagation, recovery complexity, and how experienced architects choose between correctness and operational resilience.

This lecture explores how realtime APIs change system architecture beyond traditional request-response models. We examine polling, SSE, and WebSockets through the lens of scalability, operational complexity, client synchronization, persistent connections, and production failure modes — helping architects understand when realtime communication is truly worth the cost.

This lecture explores how event-driven service-to-service APIs enable scalable and loosely coupled distributed systems, while introducing critical architectural challenges around event contracts, delivery guarantees, retries, ordering, replayability, schema evolution, and operational reliability in production environments.

Learn why modern API teams design contracts before writing code. In this lecture, we'll explore the contract-first mindset, understand the fundamentals of OpenAPI, and see how machine-readable contracts improve collaboration, validation, automation, governance, and overall API quality. You'll also learn why precise contracts reduce integration risks and enable teams to work in parallel with greater confidence.

Learn how great API documentation goes beyond endpoint references to create an exceptional developer experience through effective onboarding, conceptual guides, examples, authentication guidance, error documentation, and self-service integration support.

Learn how production APIs evolve without breaking consumers. This lecture covers backward compatibility, schema evolution, versioning strategies, migration planning, deprecation policies, and lifecycle governance, helping you design API contracts that remain stable, maintainable, and trustworthy as systems grow.