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Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. \nStarting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. \nBy the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.What you will learn\n\nMaster memory allocation techniques to minimize resource wastage\nDifferentiate between stack and heap memory, and use them efficiently\nImplement best practices for object lifetimes and garbage collection\nUnderstand .NET Core's memory management principles for optimal performance\nIdentify and fix memory leaks to maintain application reliability\nOptimize memory usage in multithreaded and asynchronous applications\nUtilize memory profiling tools to pinpoint and resolve memory bottlenecks\nApply advanced memory management techniques to enhance app scalability\n\nWho this book is forThis book is for developers and professionals who are beyond the beginner stage and seek in-depth knowledge of memory management techniques within the context of .NET Core. Whether you are an experienced developer aiming to enhance application performance or an architect striving for optimal resource utilization, this book serves as a comprehensive guide to mastering memory management intricacies. 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Microservices Design Patterns in .NET, Second Edition provides a comprehensive exploration of modern microservices using C# 14 and .NET 10.\nThis edition expands on core patterns such as CQRS, event sourcing, and Saga, while introducing advanced concepts such as observability with OpenTelemetry, zero-trust security, and container-based workflows.\nYou’ll explore both synchronous and asynchronous communication, apply domain-driven design to define service boundaries, and manage data consistency using proven persistence strategies. The book also guides you through container hosting, serverless functions, and production-ready deployment pipelines.\nBy the end of this book, you’ll know how to design and deploy secure, maintainable, and resilient microservices that fit perfectly in modern cloud ecosystems.\n\nFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*What you will learn\n\nDesign microservices with domain-driven design and bounded contexts\nBuild resilience with retries, circuit breakers, and caching\nApply CQRS, event sourcing, and Saga for reliable workflows\nUse OpenTelemetry and .NET Aspire for monitoring and tracing\nSecure APIs with IdentityServer, bearer tokens, and zero-trust principles\nDeploy and scale using containers, Kubernetes, and serverless platforms\n\nWho this book is forThis book is ideal for .NET developers, senior developers, software architects, and DevOps engineers who want to explore the pros and cons, intricacies, and overall implementation of microservice architecture. 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The book shows you how to modernize software delivery and cloud operations by integrating AI into CI\/CD pipelines, infrastructure automation, observability, incident response, and platform engineering.\nYou’ll learn how to design AI-driven workflows that can analyze logs, automate deployments, optimize infrastructure, remediate failures, and improve operational efficiency with minimal human intervention. Through real-world projects and demonstrations, the book explores the use of AI copilots, orchestration frameworks, cloud-native tooling, and DevOps platforms to create scalable and production-ready autonomous systems. The book also covers prompt engineering, AI workflow orchestration, security, governance, and best practices for building reliable AI-powered DevOps environments. \nBy the end of the book, you’ll be able to confidently build, deploy, and manage AI-driven DevOps systems that improve speed, reliability, scalability, and operational efficiency.\n\n*Email sign-up and proof of purchase requiredWhat you will learn\n\nBuild a practical foundation in Generative AI for DevOps\nApply AI across GitHub, Azure DevOps, and CI\/CD workflows\nUse AI to improve automation, infrastructure, and operational efficiency\nImplement AI with guardrails, governance, and enterprise awareness\nEvaluate agentic AI for advanced DevOps scenarios\nUnderstand how agentic AI, tools, memory, and MCP extend DevOps automation\nUse AI to improve code, pipelines, infrastructure as code, and documentation\n\nWho this book is forThis book is designed for DevOps engineers, platform engineers, SREs, cloud architects, automation specialists, and software developers who want to leverage Agentic AI to automate and optimize modern DevOps workflows. 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