OpenClaw AI in Production

Build production grade AI agent platforms on OpenClaw with security, state management, and resilience patterns that are held under real loadDRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesApply a reusable pattern language, from Hub and Spoke to Heartbeat Loop across any agent stackEmbed zero trust identity, PBAC, and fault injection into your architecture from the first chapterDeploy OpenClaw with observable, self correcting infrastructure ready for federated and edge runtimesBook DescriptionShipping a working agent prototype is easier than keeping it reliable under concurrent sessions, real-world tool failures, and adversarial inputs. Most AI tutorials leave this engineering discipline unaddressed.This book works through that discipline using OpenClaw, an open-source AI agent operating system, as a practical reference platform. Each chapter opens with a realistic production challenge, such as a cascade failure or a prompt injection attempt, then dissects the relevant OpenClaw internals, identifies the pattern that addresses it, and closes with an implementation checklist and a hands-on exercise.You will move through the six-phase request pipeline, distributed session state and compaction, zero-trust identity and policy-based access control, hook-based observability and self-correcting stacks, chaos engineering for agent runtimes, and high-throughput concurrency patterns. Security is not treated as a final chapter. Token exchange, mTLS, and sandboxing appear throughout the book and within every architectural section, just as they should in the systems you build.By the end, you will be able to design, operate, and scale production AI agent platforms with the engineering rigor of distributed databases and service meshes, and extend them to federated, edge-deployed, and decentralized architectures.*Email sign-up and proof of purchase requiredWhat you will learnDesign a Gateway control plane that scales horizontally without couplingRoute requests through a six-phase pipeline without creating latency bottlenecksImplement zero-trust identity and Token Exchange as structural, not add-on, concernsManage distributed session state with safe compaction and CRDT-friendly designInstrument agent reasoning with semantic observability beyond uptime monitoringInject faults deliberately to verify that resilience patterns hold under loadExtend OpenClaw toward federated gateways and decentralized identity meshesWho this book is forAI engineers, platform architects, and senior software engineers building autonomous agent systems in production. Readers should be comfortable with Python, distributed systems concepts, and REST or WebSocket APIs. Familiarity with OpenClaw's core architecture and components is recommended, as the book focuses on production implementation patterns rather than introductory concepts.