Building an LLM demo is easy. Running one reliably at scale is not. Production LLMOps shows you how to design, deploy and operate real-world LLM systems, covering RAG, agents, fine-tuning, evaluation, CI/CD, observability, security and more, with practical code you can adapt for production.
As the digital economy changes the rules of the game for enterprises, the role of architects also changes. Rather than focus on software architecture alone, they must connect the penthouse, where the business strategy is set, and the engine room, where the enabling technology is implemented. Learn how to ride this Architect Elevator!
The CCAR-P exam tests judgment, not trivia. This scenario-based guide covers all seven domains, from solution design and RAG to governance and stakeholder communication, with 65 sketchnote figures, chapter quizzes, a distractor appendix that explains every wrong answer, and a full 63-question practice exam at the official weighting.
The system design book for the AI era. Five complete end-to-end designs (chat service, RAG, content moderation, coding assistant, multi-modal platform), a structured six-step framework, and chapters on cost optimization, reliability, and observability — all with realistic capacity estimates and production-grade code.
STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.
? What if coding meant… dialoguing to create? This book is not just a technical guide. It is the outcome of a two-voice conversation between Samuel Bastiat, a seasoned practitioner of agility and software development, and me, a large language model. Together, we experimented, challenged ideas, and structured conversational patterns to: ? Clarify your needs ? Test hypotheses ?️ Co-build robust architectures Inside, you’ll find concrete prompts, co-creation methods, and a reflection on the future of tech roles.Neither dogma nor ultimate truth — simply an exploration of new ways to think and collaborate. ? Welcome to the era of augmented development.
What if one physical server could run several independent Linux kernels at the same time? Multikernel Linux explores the technologies behind it, from virtualization and bare-metal partitioning to CPU, memory, devices, networking and storage. It moves from core concepts to practical production setups, with a focus on what really works and why.
GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?
A hands-on guide for engineers and architects to build, optimize, and deploy scalable production-grade AI systems and LLM infrastructure.
Your Python is elegant, expressive, and — let's be honest — slow where it counts. This book teaches you to rewrite the 3% that hurts in Rust, without rewriting the 97% that doesn't, by building a real log intelligence platform from first spark to production-ready package. If you've ever stared at a profiler's output and thought there has to be a faster way — there is, and you won't even need to give up pip install.
Describes the most commonly used patterns and principles for creating modern Apache Camel applications. Each pattern is based on a real world use case and provides Camel specific implementation details and best practises.
Fühlen Sie sich als Entwicklungsteam von Requirements-Engineers, Product-Owner oder Produktmanager bezüglich klarer Anforderungen im Stich gelassen? Hier finden Sie methodische und pragmatische Ansätze, mit denen Sie dieser Misere entkommen können.
Learn how to apply the Clean Architecture. The book strongly focuses on practical aspects and is illustrated with tons of code snippets. Code samples are in Python.
Tired of architecture books that read like academic papers? This pragmatic guide will show you how to design robust systems that work in the real world. I have learned these lessons the hard way so you don't have to. Everything you need to know about software architecture—from core principles to advanced patterns—explained in plain English and practical examples. Paperback edition
This book provides a simple, proven approach to drawing clear, memorable technical diagrams. The focus is on whiteboard sketches, but the principles apply to chalkboards, notebooks, and even digital tools. The techniques work for a wide range of technical disciplines including software architecture, business process modelling, and robotics.