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Learn API design as contract design through clear illustrations and practical support-ticket examples. Build a foundation in HTTP, resources, security, reliability, and backward-compatible change for everyday systems engineering work.
HAProxy Essentials is a practical guide to building, running and troubleshooting HAProxy in production. From core concepts to advanced architecture, it explains how the pieces fit together and what can go wrong. Based on HAProxy 3.4 LTS, with clear notes on 2.8 and Enterprise-specific features.
What if you could build an AI that writes just like you? In Building Your LLM Twin, you'll follow a hands-on journey from raw writing data to a fully deployed AI that captures your unique voice. Learn to build, fine-tune and scale real-world LLM systems with practical code, proven techniques and the tools to take your project from concept to production.
A practical guide to building reliable LLM integrations that hold up in production. Learn how to design provider-agnostic APIs, handle failures, add observability and security, and keep your architecture maintainable. With a complete Python codebase, this book turns proven patterns into working software.
Ein praxisorientiertes Handbuch für Architekten, Ingenieure und Entscheider: wie mandantenfähige SaaS-Systeme wirklich in Produktion bestehen - jenseits der Theorie.
Take a practical deep dive into modern Haskell development with GHC, Cabal, HLS and effect systems. Learn how the tools work under the hood, how they fit together and how to use them effectively in real production projects. Built for engineers who want to move beyond syntax and develop Haskell with confidence.
Build collaborative software that keeps working when the network does not. This practical guide takes you from distributed systems fundamentals to working CRDT implementations and production-ready collaboration. Learn how CRDTs work, where they fit and how to handle scaling, security, metadata growth and failure in real systems.
Software supply chains are now a critical attack surface. The Software Trust Chain explores how to secure code, dependencies, builds, CI/CD, containers and deployments in the age of generative AI and autonomous coding agents, focusing on practical engineering principles that remain useful as tools and platforms change.
AI can generate an answer. But can it safely take action?AI agents are changing software by giving intelligent systems the ability to plan, use tools, interact with external systems, and execute multi-step workflows.Moving from an impressive prototype to a dependable production system, however, requires much more than a powerful model.AI Agents & Agentic Workflows in Production explores the engineering principles behind production-grade agentic systems—from architecture and tool use to memory, planning, orchestration, evaluation, security, reliability, observability, scalability, governance, and continuous operation.Learn how to build agents that don't just act—but act reliably, safely, measurably, and under control.
Most AIOps material is written by people selling AIOps. This one separates what works in production today from what is still a roadmap promise — and says which is which, chapter by chapter.
When critical infrastructure degrades, customer-facing applications continue blindly routing users into broken flows because modern architectures lack a dedicated layer for runtime coordination. This book introduces the Operational State Control Plane (OSCP)-formalizing the contracts, distribution mechanics, and zero-network resilience required to govern multi-surface application behavior during active incidents. A practical blueprint for platform architects, principal engineers, and SRE leaders running distributed production estates.
Concurrency is where small mistakes become serious problems. This practical guide takes you from hardware and memory models to locks, atomics and lock-free algorithms, with a focus on building fast, reliable systems that hold up under real production workloads.
Stop choosing between an AI that's powerful and one you can certify. From Shannon's entropy to a reproducible, auditable Industry Language Model — built in C#, wrapped in Deterministic Islands, with every number independently verified.
Forget IShape — it's time to build software that actually does something. OrderFlow takes ten classic Gang of Four design patterns and weaves them into a single, fully functional food delivery platform built with C# and .NET 10. Clone the repository, step through the production-grade code, and finally master not just how to write patterns, but when to use them (and when to keep it simple).
When code gets cheap, understanding gets expensive. The Code Is Lying follows a team of engineers as coding agents move the bottleneck from writing software to reviewing, verifying, and trusting it. Every chapter ends with field notes on the habits and checks that keep the practice honest.