Overview

High-Performance API Engineering Design and Build Fast, Reliable, and Scalable APIs Using Go, Rust, TypeScript, and Modern Architectural Patterns Modern applications demand APIs that are fast, reliable, scalable, and secure. But building these systems requires more than simply writing endpoints-it requires a deep understanding of distributed systems, performance engineering, efficient programming models, cloud deployment strategies, observability, and real-world optimization techniques. High-Performance API Engineering is your complete guide to designing, building, deploying, and maintaining world-class APIs using Go, Rust, and TypeScript. Whether you're a backend engineer, full-stack developer, cloud architect, DevOps professional, or engineering leader, this book gives you the practical knowledge needed to build APIs that stand up to real production traffic and scale with confidence. This book goes far beyond syntax and frameworks. It teaches you how APIs actually behave in real environments, how they fail, how they scale, and how to optimize them from the inside out. You'll gain a complete understanding of modern API engineering-from code and architecture to containers, CI/CD automation, Kubernetes, observability, and high-performance tuning. What You Will Learn ✔️ Core API Architecture REST, gRPC, GraphQL, and event-driven communication Clean, modular API design patterns Serialization choices and their impact on performance ✔️ Building High-Performance APIs Go concurrency, optimized HTTP servers, and memory-efficient design Rust's safety and zero-cost abstractions for ultra-fast endpoints TypeScript performance tuning using Fastify, NestJS, and Node internals ✔️ Performance Engineering Minimizing latency and maximizing throughput Profiling CPU, memory, and I/O bottlenecks Effective caching and load distribution patterns ✔️ Scalability & Distributed Systems Microservices vs monoliths vs modular monoliths API gateways, reverse proxies, and edge routing Event-driven architectures and asynchronous workflows ✔️ Security Essentials Authentication and authorization done right Input validation and data protection Rate limiting, quotas, and safe secrets management ✔️ Production Operations Distributed tracing, metrics, and logging Health checks, failover strategies, and redundancy SLOs, SLIs, and error budgets for reliable systems ✔️ Cloud Deployment & Automation Container optimization and multi-stage builds Kubernetes deployments and autoscaling CI/CD pipelines for Go, Rust, and TypeScript Serverless deployment patterns for cost and speed ✔️ Real-World Performance Case Studies Benchmarks across Go, Rust, and TypeScript Serialization performance comparisons Scaling experiments and latency breakdowns Lessons learned from real production outages Who This Book Is For Backend developers who want to build fast, scalable APIs Cloud and DevOps engineers who manage production workloads Architects designing distributed systems Intermediate developers aiming to move into senior or lead roles Anyone who wants to understand how high-performance backend systems are truly built No matter your current skill level, you'll learn techniques that apply directly to real projects and production systems. Why This Book Matters Most API books teach frameworks. This book teaches engineering. You'll understand why systems behave as they do, how to measure real performance, and what it takes to build APIs that deliver consistent, predictable results day after day, under real production load. With practical examples, detailed explanations, code samples, and real benchmarks, this book gives you the confidence and expertise to design APIs that are both elegant and extremely fast.

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