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API Systems Engineering is a practical guide to designing APIs that remain secure, scalable, reliable, and maintainable as software systems grow more distributed and complex. Rather than treating APIs as collections of endpoints, this book approaches them as long-lived engineering contracts between independently evolving systems. It connects interface design with the larger concerns that determine whether an API succeeds in production: compatibility, authorization, failure recovery, distributed state, observability, governance, and controlled evolution. Readers will explore contract-first API design with OpenAPI and JSON Schema, HTTP semantics, REST, GraphQL, gRPC, authentication and authorization, OAuth and OpenID Connect, idempotency, pagination, caching, rate limiting, retries, circuit breakers, distributed transactions, asynchronous workflows, testing, SLOs, deployment strategies, API governance, event-driven systems, and streaming architectures. The later chapters extend these principles to modern AI systems, examining APIs for AI agents, tool execution, agent identity, delegated authority, and the Model Context Protocol (MCP). The emphasis remains on durable system boundaries rather than tying architecture to a specific framework, cloud provider, programming language, or AI platform. Realistic production scenarios show how seemingly small API decisions can affect security, scalability, migration cost, operational reliability, and long-term maintainability. Recurring case studies connect individual techniques into complete system-level reasoning. API Systems Engineering is written for experienced developers, software architects, platform engineers, technical leads, and engineers responsible for production APIs and distributed systems. If you need APIs that can survive changing clients, growing traffic, partial failures, evolving security requirements, cloud architectures, and increasingly autonomous software consumers, this book provides the engineering framework to design them deliberately.
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