Microsoft Azure Books

Navigate the complexities of Azure Virtual Networks and build cloud infrastructure that scales with your organization. This guide takes you from foundational concepts through advanced implementation patterns, equipping you with practical knowledge to design networks that are secure, performant, and cost-effective. You'll explore IP addressing strategies, security controls, connectivity options, and operational best practices that real-world deployments demand. Whether you're architecting a new cloud environment, migrating from on-premises infrastructure, or optimizing existing networks, you'll discover how to make informed decisions that align with your business requirements. Each chapter builds on core principles while providing hands-on insights into configuration, monitoring, and troubleshooting. By the end, you'll have the confidence to design and manage Azure Virtual Networks that support your organization's growth and security posture.

Building distributed applications with .NET Framework 4.5 presents a significant challenge: managing reliable communication between services without building complex infrastructure from scratch. Windows Azure Service Bus solves this problem by providing a fully managed messaging platform, but many developers struggle to implement it effectively. This book guides you through every aspect of Azure Service Bus, from foundational concepts to production-ready implementations. You'll learn how to architect queues and topics that handle real-world scenarios, implement robust error handling that prevents message loss, and configure security that protects your data. Each concept is grounded in practical examples and patterns you can apply immediately. Whether you're building microservices, integrating legacy systems, or creating event-driven architectures, this book provides the knowledge and techniques to implement messaging solutions that scale reliably. You'll understand not just how to use Service Bus, but why each design decision matters for your application's success.

Building cloud applications shouldn't require managing servers, configuring infrastructure, or worrying about scaling. Azure Functions removes these barriers, letting you deploy code that automatically scales and costs only what you use. However, transitioning from traditional .NET development to serverless architecture requires understanding new patterns, execution models, and cloud-native best practices. This book bridges that gap, providing practical guidance for intermediate .NET developers ready to master serverless computing. You'll learn how to architect functions for real-world scenarios, leverage triggers and bindings to eliminate boilerplate code, integrate with Azure services, and implement production-ready monitoring and security. Whether you're building microservices, processing data pipelines, or creating event-driven applications, this guide equips you with the knowledge and patterns needed to build scalable, maintainable serverless solutions using .NET Framework 4.5 and Azure Functions.

Build production-ready serverless applications that scale automatically and cost only what you use. Azure Functions represents a fundamental shift in how you architect cloud applications—eliminating server management while enabling you to respond instantly to business events. This comprehensive guide takes you from foundational concepts through advanced production patterns, covering everything from trigger selection and binding configuration to monitoring, security, and DevOps integration. You'll learn how to design event-driven architectures that handle real-world complexity, optimize performance and costs, and integrate seamlessly with Azure's ecosystem. Whether you're modernizing legacy applications, building microservices, or creating real-time data processing pipelines, this book provides the practical knowledge and proven strategies you need to succeed with serverless computing on Azure.

Navigate the complexities of building a modern data lake on Azure with practical guidance grounded in real-world scenarios. This book walks you through designing a scalable data storage foundation, implementing robust security controls, and establishing DevOps workflows that keep your data platform running smoothly. You'll learn how to organize data efficiently, ingest information from multiple sources, and optimize costs without sacrificing performance. Whether you're migrating from on-premises systems, building your first cloud data platform, or refining an existing setup, you'll discover actionable strategies for governance, monitoring, and integration with Azure's analytics ecosystem. Each chapter combines conceptual understanding with hands-on techniques, enabling you to make informed architectural decisions and implement solutions that grow with your organization's needs.

How do you ensure your Azure applications remain responsive and available even when traffic spikes or infrastructure fails? This practical guide walks you through Azure's complete load balancing ecosystem, from foundational concepts to production-ready implementations. You'll learn when to use Azure Load Balancer, Application Gateway, Traffic Manager, and Front Door—and how to combine them for maximum resilience. Discover how to configure health probes that actually work, implement SSL/TLS termination, route traffic based on URL paths and hostnames, and scale your infrastructure automatically. Through real-world scenarios and hands-on examples, you'll master the architectural decisions that separate fragile systems from bulletproof ones. Whether you're optimizing existing deployments or building new cloud-native applications, this book provides the knowledge and confidence to design load balancing solutions that keep your applications running smoothly at scale.

Take your Azure applications to the next level by mastering intelligent traffic management and load balancing. This practical guide shows you how to leverage Windows Azure Traffic Manager to build highly available, globally distributed applications using .NET Framework 4.5. You'll learn to configure multiple routing methods, implement robust health monitoring, and handle failover scenarios that keep your applications running smoothly. Discover how to optimize performance across geographic regions, reduce latency for end users, and ensure your services remain accessible even during infrastructure failures. With real-world examples and step-by-step implementation guidance, you'll understand how to integrate Traffic Manager into your .NET applications, monitor performance metrics, and troubleshoot common issues. Whether you're building cloud-native applications or migrating existing systems to Azure, this book provides the technical depth and practical strategies needed to implement enterprise-grade traffic management solutions.

Are you struggling to build reliable, scalable messaging systems that can handle enterprise workloads without becoming a maintenance nightmare? Azure Service Bus is a powerful solution, but its complexity can overwhelm even experienced developers. This book cuts through the confusion and shows you exactly how to design, implement, and operate production-grade messaging architectures. You'll learn the architectural patterns that separate successful implementations from those that fail under load, discover how to configure security and monitoring correctly from day one, and master the advanced features that make Service Bus truly shine. Whether you're building microservices, event-driven applications, or integrating legacy systems, this guide provides the practical knowledge and real-world strategies you need to deliver reliable solutions that scale.

Master the convergence of IoT and cloud computing by building production-ready solutions on Azure. You'll gain practical expertise in connecting devices securely, implementing DevOps pipelines that automate your entire workflow, and managing fleets of IoT devices at scale. This book walks you through real-world scenarios—from initial device provisioning to monitoring live deployments—using hands-on examples and proven patterns. Learn how to leverage Azure IoT Hub, Azure IoT Edge, and Azure DevOps to create resilient systems that adapt to changing requirements. Whether you're deploying sensors in manufacturing, building smart home solutions, or managing industrial equipment, you'll discover how to combine Azure's powerful services with DevOps discipline to deliver reliable, maintainable IoT applications that scale efficiently and respond to business needs faster than ever before.

You're about to discover how to build database systems that scale globally without sacrificing performance or breaking your budget. Azure Cosmos DB has evolved from a distributed database into an AI-native platform that powers some of the world's most demanding applications. This guide walks you through the complete journey—from understanding core concepts like consistency models and request units, to architecting multi-region deployments, integrating AI capabilities, and automating everything through DevOps practices. You'll learn how to choose the right API for your use case, optimize costs with serverless and provisioned throughput, leverage change feeds for real-time data synchronization, and deploy with confidence using Infrastructure as Code. Whether you're building a global e-commerce platform, a real-time analytics system, or an AI-powered application, you'll gain the practical knowledge and architectural patterns needed to succeed with Cosmos DB in production environments.

Many organizations deploy System Center Operations Manager only to struggle with configuration complexity, alert overload, and underutilized capabilities. This practical guide cuts through the confusion and shows you how to build a monitoring solution that actually works for your business. You'll learn how to architect SCOM for your specific environment, deploy agents efficiently, create meaningful rules and monitors, and integrate monitoring into your DevOps workflow. Whether you're managing a small Windows Server environment or a large enterprise infrastructure, this book provides step-by-step guidance, real-world examples, and proven strategies for maximizing SCOM's potential. Discover how to reduce alert noise, improve incident response times, and gain the operational visibility that transforms reactive firefighting into proactive management. From initial planning through advanced optimization, you'll have the knowledge to implement SCOM confidently and deliver measurable business value.

You'll move from understanding how generative AI models work at a fundamental level to architecting and deploying production-grade applications that solve real engineering and research challenges. This book bridges the gap between AI theory and practical implementation, showing you how to leverage your technical expertise to build systems that integrate seamlessly with Python, Azure OpenAI, and enterprise environments. You'll master prompt engineering as a systematic discipline, learn to chain complex operations for sophisticated workflows, and discover how to accelerate research through AI-driven data analysis. Each chapter builds on your existing engineering knowledge, using familiar concepts like signal processing and system architecture to explain transformer models and neural networks. By the end, you'll have the skills to design effective ChatGPT prompts, integrate AI models into production systems, optimize costs and performance, and apply generative AI across marketing, research, and custom applications—transforming how you work and innovate.

Managing storage infrastructure without a hierarchical strategy wastes money and jeopardizes your ability to recover from failures. Most organizations overprovision expensive high-performance storage for data that rarely needs it, while critical recovery data sits in slow, unreliable tiers. This book shows you how to architect storage systems that automatically place data where it belongs—fast storage for active workloads, cost-effective tiers for archives, and optimized recovery paths for disaster scenarios. You'll learn proven frameworks for implementing HSM in DevOps environments, integrating it with your existing backup and recovery processes, and automating the entire lifecycle. Whether you're managing on-premises infrastructure, cloud storage, or hybrid environments, this guide provides practical strategies to reduce costs by 40-60% while improving recovery capabilities and meeting compliance requirements. Real-world examples and implementation patterns help you avoid common pitfalls and accelerate your HSM deployment.