Overview

This book delivers a clear, practical roadmap for building modern web services using today's most relevant tools and patterns. It covers REST API design, OpenAPI/Swagger, GraphQL, gRPC, microservices fundamentals, event-driven architecture, database modeling, caching, idempotency, CI/CD, containerization with Docker, Kubernetes concepts, API gateways, security patterns (OAuth2, JWT, TLS), observability with logs/metrics/traces, and performance optimization. Whether you work in Node.js, Python/FastAPI, Go, Java, or .NET, the principles apply directly. SEO-rich themes include API design, cloud architecture, backend engineering, DevOps, microservices, OpenTelemetry, performance tuning, best practices for scalable systems, and high-availability design. Written by an engineer with hands-on experience designing, scaling, and troubleshooting real production services, this guide prioritizes clarity and practicality over theory. You'll learn proven patterns for preventing outages, managing schema changes, reducing technical debt, improving developer experience, strengthening API governance, and avoiding common architectural traps. Every concept is grounded in repeatable processes: tracing, SLOs, contract testing, rate limiting, and validation layers that support predictable, stable service behavior. This book teaches the full lifecycle of API engineering-from planning and modeling, to implementation, deployment, and ongoing operations. You'll gain detailed insights into HTTP semantics, ETag usage, pagination strategies, versioning, request validation, authentication models, scalable data design, concurrency handling, distributed tracing, monitoring dashboards, and testing strategies including unit, integration, and contract tests. You'll also learn how to build maintainable folder structures, automate documentation, manage secrets, handle webhooks and long-running jobs, and migrate systems safely. WHAT'S INSIDE - REST, GraphQL, and gRPC architecture guidance - Idempotency, caching, structured errors, and resilient flows - API security with OAuth2, JWT, scopes, RBAC - Practical deployment patterns: Docker, containers, cloud workflows - Logging, metrics, and OpenTelemetry distributed tracing - CI/CD pipelines, schema validation, contract testing - Database strategies: SQL, NoSQL, indexing, performance tuning - Scalability patterns, rate limiting, gateways, load management - Governance, versioning, deprecation, and platform maturity models This book is ideal for backend developers, full-stack engineers, SREs, platform teams, and architects responsible for building reliable APIs or maintaining mission-critical systems. It's equally useful for engineers transitioning from monoliths to microservices, or for teams improving reliability, performance, or documentation workflows. Each chapter delivers outcomes you can apply immediately. In days, you can implement idempotency, validation, structured logging, and actionable metrics. In weeks, you can integrate OpenTelemetry, strengthen security, introduce contract tests, and improve deployment safety. Over months, you can adopt strong API governance, reduce drift, and mature your platform practices. Start implementing the book's step-by-step improvements today: publish a clean OpenAPI spec, enable request IDs, adopt schema validation, add tracing spans, instrument latency and error-rate metrics, and enforce safe versioning practices. These practical upgrades strengthen reliability, simplify debugging, improve developer onboarding, and set the foundation for scalable, maintainable, production-ready services.

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