Build production grade AI agent platforms on OpenClaw with security, state management, and resilience patterns that are held under real load DRM-free PDF version + access to Packt's next-gen Reader* Key Features Apply a reusable pattern language, from Hub and Spoke to Heartbeat Loop across any agent stack Embed zero trust identity, PBAC, and fault injection into your architecture from the first chapter Deploy OpenClaw with observable, self correcting infrastructure ready for federated and edge runtimes Book 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 learn Design a Gateway control plane that scales horizontally without coupling Route
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