Tommy m cross (7 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Neuware - This book is your definitive engineering blueprint for designing, testing, and deploying production-grade AI networks. It strips away the hype and provides a rigorous, code-first approach to building robust architectures, enforcing strict data schemas, and maintaining absolute control over non-deterministic systems.I know exactly what happens when you try to scale a single AI script. You feed an LLM a massive prompt to research, analyze, and draft a report. It works perfectly on your laptop. But when deployed to a live environment, the architecture breaks. The model loses focus, hallucinates facts, and crashes under external API rate limits.You find yourself fighting shrinking context windows and unpredictable token costs. I hit that exact same wall. The breakthrough did not come from finding a better language model; it came from changing the architecture entirely.By dividing labor into highly specialized roles-a researcher, an analyst, a writer-and connecting them with secure message brokers, the chaos vanished. The system became deterministic. If you are tired of building fragile AI prototypes and want to engineer truly reliable software, I wrote this specifically for you.What's insideThrough practical, conceptual Python blueprints, you will learn to construct resilient systems from the ground up: - Agent-to-Agent (A2A) Messaging: Build robust publisher-subscriber pipelines using rigid Pydantic schemas.- The Model Context Protocol (MCP): Connect to live databases using standardized v1.x client-server architectures.- Shared Memory States: Implement asynchronous, lock-protected whiteboards utilizing Redis.- Hierarchical Routing: Design strict chains of command to organize specialized workers.- Production Security: Containerize deployments with Docker, manage dynamic API keys via secret vaults, and enforce non-blocking Human-in-the-Loop (HITL) guardrails.This is designed for software architects, backend engineers, and Python developers ready to move beyond basic API wrappers. If you understand foundational asynchronous programming and want to build scalable, automated operations, this is your technical foundation.Stop wrestling with unpredictable AI and start engineering reliable distributed networks. Grab your copy now, implement these blueprints, and deploy your first autonomous system today.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. This book is your definitive blueprint for constructing production-ready web applications. I will take you past the basic tutorials and into the architectural decisions that define professional software engineering. You will learn exactly how to design robust database schemas, serialize complex data, secure your endpoints with JSON Web Tokens (JWT), and scale your infrastructure using Redis, Celery background workers, and PostgreSQL read/write replicas.Picture this: you have just launched your application. The first hundred users sign up, and everything runs flawlessly. Then, a major publication links to your site. Suddenly, thousands of active users are hitting your database simultaneously. What happens next? Does your server freeze? Do your users see a 502 Bad Gateway error?I have watched developers panic as their unoptimized queries and fragile configurations bring their entire system crashing down. I wrote this book so you never have to experience that moment. We are going to strip away the guesswork. I will show you exactly how to anticipate massive traffic spikes, protect your most sensitive data from malicious actors, and build a backend infrastructure that simply refuses to fail. The difference between a hobby project and a professional platform is entirely in the architecture-and I am going to hand you those blueprints.What's insideHere is a look at the critical concepts we will cover across the chapters and sections: Mastering Serialization: Seamlessly translate PostgreSQL records into portable JSON.API Architecture: Construct highly efficient endpoints using ViewSets, automated routers, and secure cursor pagination.Bulletproof Security: Implement stateless authentication with JWT, manage granular permissions, and lock down your environment variables.Performance at Scale: Accelerate response times with Redis caching and offload heavy processes to Celery background workers.Production Deployment: Containerize your application using multi-stage Docker builds and safely manage database read/write replicas behind an Nginx reverse proxy.This guide is written for Python developers who understand the basics of programming but are ready to transition into building serious, data-driven web applications. If you are tired of connecting basic models to generic HTML templates and want to learn how to build scalable APIs, secure user data, and orchestrate cloud deployments, you are exactly in the right place. It is also an essential reference for backend engineers looking to modernize their skills with the latest standards in Django and containerization.Stop building applications that break under pressure. It is time to master the architecture that powers the modern internet. Grab your copy now, and let us build a system that truly scales. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. This book is your definitive engineering blueprint for designing, testing, and deploying production-grade AI networks. It strips away the hype and provides a rigorous, code-first approach to building robust architectures, enforcing strict data schemas, and maintaining absolute control over non-deterministic systems.I know exactly what happens when you try to scale a single AI script. You feed an LLM a massive prompt to research, analyze, and draft a report. It works perfectly on your laptop. But when deployed to a live environment, the architecture breaks. The model loses focus, hallucinates facts, and crashes under external API rate limits.You find yourself fighting shrinking context windows and unpredictable token costs. I hit that exact same wall. The breakthrough did not come from finding a better language model; it came from changing the architecture entirely.By dividing labor into highly specialized roles-a researcher, an analyst, a writer-and connecting them with secure message brokers, the chaos vanished. The system became deterministic. If you are tired of building fragile AI prototypes and want to engineer truly reliable software, I wrote this specifically for you.What's insideThrough practical, conceptual Python blueprints, you will learn to construct resilient systems from the ground up: Agent-to-Agent (A2A) Messaging: Build robust publisher-subscriber pipelines using rigid Pydantic schemas.The Model Context Protocol (MCP): Connect to live databases using standardized v1.x client-server architectures.Shared Memory States: Implement asynchronous, lock-protected whiteboards utilizing Redis.Hierarchical Routing: Design strict chains of command to organize specialized workers.Production Security: Containerize deployments with Docker, manage dynamic API keys via secret vaults, and enforce non-blocking Human-in-the-Loop (HITL) guardrails.This is designed for software architects, backend engineers, and Python developers ready to move beyond basic API wrappers. If you understand foundational asynchronous programming and want to build scalable, automated operations, this is your technical foundation.Stop wrestling with unpredictable AI and start engineering reliable distributed networks. Grab your copy now, implement these blueprints, and deploy your first autonomous system today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…