Trevoir Williams – författare

Learn to be deliberate and intentional in your design, technology, and pattern choices when developing an application using a microservices architecture.Key FeaturesTackle common design problems when developing a microservices application using .NET CoreExplore applying S.O.L.I.D development principles in developing a stable microservice applicationUse your knowledge to solve common microservice application design challengesBook DescriptionAre you a developer who needs to fully understand the different patterns and benefits that they bring to designing microservices? If yes, then this book is for you. Microservices Design Patterns in .NET will help you appreciate the various microservice design concerns and strategies that can be used to navigate them.Making a microservice-based app is no easy feat and there are many concerns that need to be addressed. As you progress through the chapters of this guide, you’ll dive headfirst into the problems that come packed with this architectural approach, and then explore the design patterns that address these problems. You’ll also learn how to be deliberate and intentional in your architectural design to overcome major considerations in building microservices.By the end of this book, you’ll be able to apply critical thinking and clean coding principles when creating a microservices application using .NET Core.What you will learnUse Domain-Driven Design principles in your microservice designLeverage patterns like event sourcing, database-per-service, and asynchronous communicationBuild resilient web services and mitigate failures and outagesEnsure data consistency in distributed systemsLeverage industry standard technology to design a robust distributed applicationFind out how to secure a microservices-designed applicationUse containers to handle lightweight microservice application deploymentWho this book is forIf you are a .NET developer, senior developer, software architect, or DevOps engineer who wants to explore the pros and cons, intricacies, and overall implementation of microservice architecture, then this book is for you. You’ll also get plenty of useful insights if you’re seeking to expand your knowledge of different design patterns and supporting technologies.Basic experience with application and API development with .NET Core (2+) and C# will help you get the most out of this book.

Learn to be deliberate and intentional in your design, technology, and pattern choices when developing an application using a microservices architecture.

Key Features

Tackle common design problems when developing a microservices application using .NET CoreExplore applying S.O.L.I.D development principles in developing a stable microservice applicationUse your knowledge to solve common microservice application design challenges

Book Description

Are you a developer who needs to fully understand the different patterns and benefits that they bring to designing microservices? If yes, then this book is for you. Microservices Design Patterns in .NET will help you appreciate the various microservice design concerns and strategies that can be used to navigate them.Making a microservice-based app is no easy feat and there are many concerns that need to be addressed. As you progress through the chapters of this guide, you’ll dive headfirst into the problems that come packed with this architectural approach, and then explore the design patterns that address these problems. You’ll also learn how to be deliberate and intentional in your architectural design to overcome major considerations in building microservices.By the end of this book, you’ll be able to apply critical thinking and clean coding principles when creating a microservices application using .NET Core.

What you will learn

Use Domain-Driven Design principles in your microservice designLeverage patterns like event sourcing, database-per-service, and asynchronous communicationBuild resilient web services and mitigate failures and outagesEnsure data consistency in distributed systemsLeverage industry standard technology to design a robust distributed applicationFind out how to secure a microservices-designed applicationUse containers to handle lightweight microservice application deployment

Who this book is for

If you are a .NET developer, senior developer, software architect, or DevOps engineer who wants to explore the pros and cons, intricacies, and overall implementation of microservice architecture, then this book is for you. You’ll also get plenty of useful insights if you’re seeking to expand your knowledge of different design patterns and supporting technologies.Basic experience with application and API development with .NET Core (2+) and C# will help you get the most out of this book.

Master Agentic AI for DevOps with hands-on guidance to automate CI/CD, infrastructure, observability, incident response, and cloud operations using AI agents and modern DevOps toolsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild autonomous CI/CD, infrastructure, and operations workflows using AI agentsLearn AI-driven automation for observability, incident response, and cloud operationsImplement real-world Agentic AI solutions with DevOps tools, LLMs, and modern platformsBook DescriptionAgentic AI for DevOps is a practical, hands-on guide to building autonomous DevOps workflows powered by AI agents, LLMs, and intelligent automation systems. 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. You 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. By 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. *Email sign-up and proof of purchase requiredWhat you will learnBuild a practical foundation in Generative AI for DevOpsApply AI across GitHub, Azure DevOps, and CI/CD workflowsUse AI to improve automation, infrastructure, and operational efficiencyImplement AI with guardrails, governance, and enterprise awarenessEvaluate agentic AI for advanced DevOps scenariosUnderstand how agentic AI, tools, memory, and MCP extend DevOps automationUse AI to improve code, pipelines, infrastructure as code, and documentationWho 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. It is ideal for professionals looking to build autonomous CI/CD pipelines, AI-driven infrastructure automation, intelligent monitoring systems, self-healing operations, and scalable cloud-native workflows using AI agents, LLMs, and modern DevOps platforms.

Master Agentic AI for DevOps with hands-on guidance to automate CI/CD, infrastructure, observability, incident response, and cloud operations using AI agents and modern DevOps toolsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild autonomous CI/CD, infrastructure, and operations workflows using AI agentsLearn AI-driven automation for observability, incident response, and cloud operationsImplement real-world Agentic AI solutions with DevOps tools, LLMs, and modern platformsBook DescriptionAgentic AI for DevOps is a practical, hands-on guide to building autonomous DevOps workflows powered by AI agents, LLMs, and intelligent automation systems. 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.You’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. By 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.*Email sign-up and proof of purchase requiredWhat you will learnBuild a practical foundation in Generative AI for DevOpsApply AI across GitHub, Azure DevOps, and CI/CD workflowsUse AI to improve automation, infrastructure, and operational efficiencyImplement AI with guardrails, governance, and enterprise awarenessEvaluate agentic AI for advanced DevOps scenariosUnderstand how agentic AI, tools, memory, and MCP extend DevOps automationUse AI to improve code, pipelines, infrastructure as code, and documentationWho 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. It is ideal for professionals looking to build autonomous CI/CD pipelines, AI-driven infrastructure automation, intelligent monitoring systems, self-healing operations, and scalable cloud-native workflows using AI agents, LLMs, and modern DevOps platforms.

Master optimal memory management techniques in .NET Core, from understanding memory allocation to implementing advanced garbage collection strategiesKey FeaturesDiscover tools and strategies to build efficient, scalable applicationsImplement .NET memory management techniques to effectively boost your application’s performanceUncover practical methods for troubleshooting memory leaks and diagnosing performance bottlenecksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. 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. Starting 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. By 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 learnMaster memory allocation techniques to minimize resource wastageDifferentiate between stack and heap memory, and use them efficientlyImplement best practices for object lifetimes and garbage collectionUnderstand .NET Core's memory management principles for optimal performanceIdentify and fix memory leaks to maintain application reliabilityOptimize memory usage in multithreaded and asynchronous applicationsUtilize memory profiling tools to pinpoint and resolve memory bottlenecksApply advanced memory management techniques to enhance app scalabilityWho 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. To fully benefit from this book, you should have a solid understanding of C# programming and familiarity with the basics of .NET Core development.

Master optimal memory management techniques in .NET Core, from understanding memory allocation to implementing advanced garbage collection strategiesKey FeaturesDiscover tools and strategies to build efficient, scalable applicationsImplement .NET memory management techniques to effectively boost your application's performanceUncover practical methods for troubleshooting memory leaks and diagnosing performance bottlenecksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn today's software development landscape, efficient memory management is crucial for ensuring application performance and scalability. 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. Starting 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. By 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 learnMaster memory allocation techniques to minimize resource wastageDifferentiate between stack and heap memory, and use them efficientlyImplement best practices for object lifetimes and garbage collectionUnderstand .NET Core's memory management principles for optimal performanceIdentify and fix memory leaks to maintain application reliabilityOptimize memory usage in multithreaded and asynchronous applicationsUtilize memory profiling tools to pinpoint and resolve memory bottlenecksApply advanced memory management techniques to enhance app scalabilityWho 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. To fully benefit from this book, you should have a solid understanding of C# programming and familiarity with the basics of .NET Core development.

Design, build, and scale cloud-native microservices by using proven patterns such as CQRS, Saga, and event sourcing to enhance reliability, observability, and modern deployment*Email sign-up and proof of purchase requiredKey FeaturesDesign scalable and maintainable microservices with domain modeling, S.O.L.I.D principles, and clean architectureSimplify cloud development and deployment using containers, Kubernetes, serverless, and AspireImprove reliability and security through observability, automation, and zero-trust practicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAre you a developer seeking practical, up-to-date insights into designing scalable and resilient microservices? Microservices Design Patterns in .NET, Second Edition provides a comprehensive exploration of modern microservices using C# 14 and .NET 10.This 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.You’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.By 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.Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*What you will learnDesign microservices with domain-driven design and bounded contextsBuild resilience with retries, circuit breakers, and cachingApply CQRS, event sourcing, and Saga for reliable workflowsUse OpenTelemetry and .NET Aspire for monitoring and tracingSecure APIs with IdentityServer, bearer tokens, and zero-trust principlesDeploy and scale using containers, Kubernetes, and serverless platformsWho 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. You’ll also get plenty of valuable insights if you’re seeking to expand your knowledge of different design patterns and supporting technologies.

Leverage the cloud to optimize costs, improve security, and seamlessly scale your business operations

Key Features

Achieve your operational goals with Azure infrastructureOptimize costs with serverless event-driven solutions through Azure cloud patternsBoost productivity with Azure architecture’s flexibility and scalabilityPurchase of the print or Kindle book includes a free PDF eBook

Book Description

Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business.The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You''ll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You''ll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you’ll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you’ll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business.By the end of this book, you’ll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.

What you will learn

Optimize the performance and costs with AzureSelect an effective, scalable, and flexible solution that aligns with your needsHarness the power of containers to drive your application development and deploymentCreate big data solutions with the best Azure tools, platforms, and resourcesExplore the benefits of automation for enhanced productivityImprove the availability and effectiveness of monitoring with Azure

Who this book is for

This book is for business decision makers looking to benefit from the flexibility, scalability, and optimized costs offered by Microsoft Azure to scale their businesses. Basic knowledge of Azure is recommended to get the most out of this book.