Author: Abhishek Mishra
Publisher: BPB Publications
ISBN: 9391030165
Category : Computers
Languages : en
Pages : 358
Book Description
Become an expert in running containerization operations using serverless Kubernetes and Microsoft Azure Ê KEY FEATURESÊÊ _ Includes production ready examples and demonstration on the use of Azure Kubernetes Service. _ In detail coverage on Kubernetes administration, security aspects, and container deployment. _ Cutting edge coverage on best practices for end to end enterprise containerization. _ Includes Serverless Kubernetes and Kubernetes based Event-Driven Autoscaling (KEDA). DESCRIPTIONÊ This book teaches you how to build, deploy, and manage the Azure Kubernetes Service cluster on both Linux and Windows operating systems. It includes new capabilities of Kubernetes like Serverless Kubernetes using Virtual Kubelet and Kubernetes based Event-Driven Autoscaling (KEDA). The book builds strong hold on foundational concepts of containers and Kubernetes. It explores the container-based offerings on Azure and looks at all necessary Azure container-based services required to work on Azure Kubernetes Service. It deals with creating an Azure Kubernetes cluster, deploying to the cluster, performing operational activities on the cluster, and monitoring and troubleshooting issues on the cluster. You will explore different options and tool sets like Kubectl commands, Azure CLI commands, and Helm Charts to work on the Azure Kubernetes Service cluster. Furthermore, it covers advanced areas like Serverless Kubernetes using Virtual Kubelet, Kubernetes based Event-Driven Autoscaling (KEDA), and the Azure Kubernetes Service cluster on Windows. It explains how to build Azure DevOps pipelines for deployments on Azure Kubernetes Service. By the end of this book, you become proficient in Azure Kubernetes Service and equips yourself with all the necessary skills to design and build production-grade containerized solutions using Azure Kubernetes Service. WHAT YOU WILL LEARN _ Build strong fundamentals of Azure Kubernetes Service and Containerization. _ Learn to administer, manage, and monitor Azure Kubernetes Service. _ Run Linux and Windows-based workloads on Azure Kubernetes Service. _ Practice how to deploy Serverless Kubernetes using Kubelet and KEDA. _ Learn to work with kubectl commands, Helm Charts, and Azure DevOps. _ Explore best practices to design and implement Azure Kubernetes Service enterprise-wide. WHO THIS BOOK IS FORÊÊ This book is for all Docker and DevOps professionals who wish to get upskilled to know how to use Azure Kubernetes Service and become an expert in implementing it across the enterprise. Software Architects and Developers proficient in Azure fundamentals can also make use of this book to get expert practical knowledge on Azure Kubernetes Service. AUTHOR BIOÊ Abhishek Mishra is an architect with a leading Fortune 500 software multinational company and is an expert in designing and building Enterprise-grade Intelligent Azure and . NET based architectures. He is an expert in .NET Full-stack, Azure (PaaS, IaaS, Serverless), Infrastructure as Code, Azure Machine Learning, Intelligent Azure (Azure Bot Services and Cognitive Services), and Robotics Process Automation. He has a rich 15+ years of experience working across top organizations in the industry. He loves blogging and is an active blogger on C# Corner. He has been awarded C# Corner Most Valuable Professional (MVP) - December 2018, December 2019, and December 2020 three times in a row for his contributions to the developer community. He is an active speaker and delivers sessions on Azure. He has spoken in leading conferences like C# Corner Azure Conference 2020, nopCommerce Days 2019 Mumbai, C# Corner Pune Conference 2019, Global Power Platform Bootcamp Pune, and many more. Certifications to his credit Ð TOGAF Certified, Microsoft Certified Solutions Associate in Machine Learning, Microsoft Certified Azure Developer Associate, and many more
Mastering Azure Kubernetes Service (AKS)
Author: Abhishek Mishra
Publisher: BPB Publications
ISBN: 9391030165
Category : Computers
Languages : en
Pages : 358
Book Description
Become an expert in running containerization operations using serverless Kubernetes and Microsoft Azure Ê KEY FEATURESÊÊ _ Includes production ready examples and demonstration on the use of Azure Kubernetes Service. _ In detail coverage on Kubernetes administration, security aspects, and container deployment. _ Cutting edge coverage on best practices for end to end enterprise containerization. _ Includes Serverless Kubernetes and Kubernetes based Event-Driven Autoscaling (KEDA). DESCRIPTIONÊ This book teaches you how to build, deploy, and manage the Azure Kubernetes Service cluster on both Linux and Windows operating systems. It includes new capabilities of Kubernetes like Serverless Kubernetes using Virtual Kubelet and Kubernetes based Event-Driven Autoscaling (KEDA). The book builds strong hold on foundational concepts of containers and Kubernetes. It explores the container-based offerings on Azure and looks at all necessary Azure container-based services required to work on Azure Kubernetes Service. It deals with creating an Azure Kubernetes cluster, deploying to the cluster, performing operational activities on the cluster, and monitoring and troubleshooting issues on the cluster. You will explore different options and tool sets like Kubectl commands, Azure CLI commands, and Helm Charts to work on the Azure Kubernetes Service cluster. Furthermore, it covers advanced areas like Serverless Kubernetes using Virtual Kubelet, Kubernetes based Event-Driven Autoscaling (KEDA), and the Azure Kubernetes Service cluster on Windows. It explains how to build Azure DevOps pipelines for deployments on Azure Kubernetes Service. By the end of this book, you become proficient in Azure Kubernetes Service and equips yourself with all the necessary skills to design and build production-grade containerized solutions using Azure Kubernetes Service. WHAT YOU WILL LEARN _ Build strong fundamentals of Azure Kubernetes Service and Containerization. _ Learn to administer, manage, and monitor Azure Kubernetes Service. _ Run Linux and Windows-based workloads on Azure Kubernetes Service. _ Practice how to deploy Serverless Kubernetes using Kubelet and KEDA. _ Learn to work with kubectl commands, Helm Charts, and Azure DevOps. _ Explore best practices to design and implement Azure Kubernetes Service enterprise-wide. WHO THIS BOOK IS FORÊÊ This book is for all Docker and DevOps professionals who wish to get upskilled to know how to use Azure Kubernetes Service and become an expert in implementing it across the enterprise. Software Architects and Developers proficient in Azure fundamentals can also make use of this book to get expert practical knowledge on Azure Kubernetes Service. AUTHOR BIOÊ Abhishek Mishra is an architect with a leading Fortune 500 software multinational company and is an expert in designing and building Enterprise-grade Intelligent Azure and . NET based architectures. He is an expert in .NET Full-stack, Azure (PaaS, IaaS, Serverless), Infrastructure as Code, Azure Machine Learning, Intelligent Azure (Azure Bot Services and Cognitive Services), and Robotics Process Automation. He has a rich 15+ years of experience working across top organizations in the industry. He loves blogging and is an active blogger on C# Corner. He has been awarded C# Corner Most Valuable Professional (MVP) - December 2018, December 2019, and December 2020 three times in a row for his contributions to the developer community. He is an active speaker and delivers sessions on Azure. He has spoken in leading conferences like C# Corner Azure Conference 2020, nopCommerce Days 2019 Mumbai, C# Corner Pune Conference 2019, Global Power Platform Bootcamp Pune, and many more. Certifications to his credit Ð TOGAF Certified, Microsoft Certified Solutions Associate in Machine Learning, Microsoft Certified Azure Developer Associate, and many more
Publisher: BPB Publications
ISBN: 9391030165
Category : Computers
Languages : en
Pages : 358
Book Description
Become an expert in running containerization operations using serverless Kubernetes and Microsoft Azure Ê KEY FEATURESÊÊ _ Includes production ready examples and demonstration on the use of Azure Kubernetes Service. _ In detail coverage on Kubernetes administration, security aspects, and container deployment. _ Cutting edge coverage on best practices for end to end enterprise containerization. _ Includes Serverless Kubernetes and Kubernetes based Event-Driven Autoscaling (KEDA). DESCRIPTIONÊ This book teaches you how to build, deploy, and manage the Azure Kubernetes Service cluster on both Linux and Windows operating systems. It includes new capabilities of Kubernetes like Serverless Kubernetes using Virtual Kubelet and Kubernetes based Event-Driven Autoscaling (KEDA). The book builds strong hold on foundational concepts of containers and Kubernetes. It explores the container-based offerings on Azure and looks at all necessary Azure container-based services required to work on Azure Kubernetes Service. It deals with creating an Azure Kubernetes cluster, deploying to the cluster, performing operational activities on the cluster, and monitoring and troubleshooting issues on the cluster. You will explore different options and tool sets like Kubectl commands, Azure CLI commands, and Helm Charts to work on the Azure Kubernetes Service cluster. Furthermore, it covers advanced areas like Serverless Kubernetes using Virtual Kubelet, Kubernetes based Event-Driven Autoscaling (KEDA), and the Azure Kubernetes Service cluster on Windows. It explains how to build Azure DevOps pipelines for deployments on Azure Kubernetes Service. By the end of this book, you become proficient in Azure Kubernetes Service and equips yourself with all the necessary skills to design and build production-grade containerized solutions using Azure Kubernetes Service. WHAT YOU WILL LEARN _ Build strong fundamentals of Azure Kubernetes Service and Containerization. _ Learn to administer, manage, and monitor Azure Kubernetes Service. _ Run Linux and Windows-based workloads on Azure Kubernetes Service. _ Practice how to deploy Serverless Kubernetes using Kubelet and KEDA. _ Learn to work with kubectl commands, Helm Charts, and Azure DevOps. _ Explore best practices to design and implement Azure Kubernetes Service enterprise-wide. WHO THIS BOOK IS FORÊÊ This book is for all Docker and DevOps professionals who wish to get upskilled to know how to use Azure Kubernetes Service and become an expert in implementing it across the enterprise. Software Architects and Developers proficient in Azure fundamentals can also make use of this book to get expert practical knowledge on Azure Kubernetes Service. AUTHOR BIOÊ Abhishek Mishra is an architect with a leading Fortune 500 software multinational company and is an expert in designing and building Enterprise-grade Intelligent Azure and . NET based architectures. He is an expert in .NET Full-stack, Azure (PaaS, IaaS, Serverless), Infrastructure as Code, Azure Machine Learning, Intelligent Azure (Azure Bot Services and Cognitive Services), and Robotics Process Automation. He has a rich 15+ years of experience working across top organizations in the industry. He loves blogging and is an active blogger on C# Corner. He has been awarded C# Corner Most Valuable Professional (MVP) - December 2018, December 2019, and December 2020 three times in a row for his contributions to the developer community. He is an active speaker and delivers sessions on Azure. He has spoken in leading conferences like C# Corner Azure Conference 2020, nopCommerce Days 2019 Mumbai, C# Corner Pune Conference 2019, Global Power Platform Bootcamp Pune, and many more. Certifications to his credit Ð TOGAF Certified, Microsoft Certified Solutions Associate in Machine Learning, Microsoft Certified Azure Developer Associate, and many more
Mastering Azure
Author: Edwin Cano
Publisher: Edwin Cano
ISBN:
Category : Computers
Languages : en
Pages : 333
Book Description
Cloud computing has reshaped the way businesses operate, innovate, and compete in the modern world. Among the many cloud platforms available, Microsoft Azure stands out as a powerful and flexible solution for enterprises, developers, and IT professionals alike. As organizations continue to migrate their operations to the cloud, Azure has become a central hub for building, deploying, and managing applications, infrastructure, and data services with unmatched scalability, security, and efficiency. This book, Mastering Microsoft Azure: A Comprehensive Guide to Business Cloud Computing, is designed to be your roadmap for navigating the complexities of Azure. Whether you're a business leader looking to harness the cloud for operational success, a developer exploring Azure's vast tools for application deployment, or an IT professional aiming to enhance your cloud expertise, this guide will provide the knowledge and practical skills necessary to excel in today’s cloud-driven world. Why Azure? Microsoft Azure is one of the most popular and widely adopted cloud platforms globally, offering over 200 products and services across a broad range of computing needs. From virtual machines and databases to AI, IoT, and machine learning, Azure empowers businesses of all sizes to innovate faster, scale efficiently, and reduce costs. It’s trusted by some of the world’s largest organizations and has earned a reputation for reliability, security, and robust performance. In this book, we will explore Azure from both a technical and strategic perspective, covering everything from foundational concepts to advanced features. Whether you're new to cloud computing or are already familiar with Azure, this book will help you understand how to leverage the platform to solve real-world business challenges, optimize processes, and drive digital transformation. What You Will Learn This guide is structured to provide a comprehensive learning experience. You will gain a deep understanding of the following key topics: Fundamentals of Cloud Computing and Azure – Learn the basics of cloud technology, how Azure fits into the cloud ecosystem, and the fundamental concepts like IaaS, PaaS, and SaaS. Setting Up and Managing Azure Environments – Master the Azure portal, resource management tools, and best practices for managing subscriptions, resource groups, and security. Azure Compute and Networking – Dive into Azure's computing resources, including virtual machines, Azure Kubernetes Service (AKS), and networking services such as virtual networks and load balancing. Storage, Databases, and Analytics – Discover how Azure handles data storage, backups, disaster recovery, and analytics, with an in-depth look at services like Azure SQL, Cosmos DB, and Data Factory. Security, Identity, and Governance – Understand the essential security measures in Azure, including identity management, encryption, access control, and compliance. Automation and DevOps – Learn how to automate tasks and streamline application deployments with tools like Azure DevOps, Logic Apps, and Azure Automation. AI, Machine Learning, and Advanced Services – Explore Azure’s capabilities in artificial intelligence, machine learning, and big data processing, enabling you to unlock the potential of next-generation technologies. Hybrid Cloud and Migration – Understand how to integrate on-premises systems with Azure, create hybrid cloud environments, and execute cloud migration strategies. Optimizing Performance and Costs – Learn how to manage and optimize your Azure environment for performance, cost efficiency, and scalability. Career Development and Certification – Gain insights into pursuing certifications, building a career in cloud computing, and continuous learning in the Azure ecosystem. Who Should Read This Book? This book is aimed at a wide audience, from beginners to advanced users of Azure. It is perfect for: Business decision-makers who want to understand how Azure can help drive digital transformation in their organizations. IT professionals and system administrators looking to improve their skills in managing Azure environments and ensuring seamless cloud operations. Developers interested in deploying, managing, and scaling applications on Azure. Cloud architects seeking to design robust, scalable, and secure cloud solutions. Students and those beginning their cloud computing journey who wish to build a strong foundation in Azure. How to Use This Book Each chapter of this book is designed to be self-contained, meaning you can read it sequentially or jump to specific topics that are most relevant to your needs. For those just starting, it is recommended to begin with the fundamentals and progress through the chapters for a structured learning experience. Advanced users may prefer to skip ahead to more complex topics like Azure DevOps, machine learning, and security best practices. Throughout the book, you'll find step-by-step tutorials, best practices, and real-world use cases that will help you apply the concepts in practical scenarios. At the end of each chapter, you’ll also find a summary and a set of exercises designed to reinforce the concepts learned. Embracing the Cloud Revolution The cloud is no longer just a buzzword—it's a transformative technology that is fundamentally changing how businesses operate. Microsoft Azure offers the tools, resources, and services to help you stay ahead in this cloud-first world. By mastering Azure, you’re not just learning a platform; you’re gaining the skills needed to shape the future of your organization and career. So, whether you are just beginning your Azure journey or looking to deepen your expertise, this book will provide you with the knowledge, tools, and insights necessary to thrive in the cloud era. Let's embark on this exciting journey of mastering Azure and unlocking the full potential of cloud computing for your business and beyond. 4o mini You said: Prologue ChatGPT said: ChatGPT Prologue Cloud computing has transcended from a mere trend to an essential cornerstone of modern business operations. What was once a cutting-edge concept has now become an everyday necessity, driving how we interact with data, collaborate, innovate, and deliver value to customers. As the world continues to embrace digital transformation, cloud platforms like Microsoft Azure have risen to meet the demands of a rapidly evolving landscape. I have witnessed firsthand the tremendous shift in how companies operate—from small startups to global enterprises—empowering them with scalable, secure, and cost-effective solutions. Cloud platforms, particularly Azure, have not only transformed the IT landscape but also reshaped business models, disrupted industries, and created new opportunities for growth and innovation. The power to build, manage, and scale applications in real-time without the burden of traditional on-premises infrastructure has opened up a new realm of possibilities. For many organizations, adopting cloud computing is not merely a matter of technology—it’s about driving change. It's about adopting a mindset that embraces agility, scalability, and flexibility. However, for those who are new to the cloud or even for those experienced in other platforms, Azure can seem overwhelming with its sheer scope, diversity of services, and ever-evolving nature. That’s where this book comes in. I’ve dedicated countless hours studying, experimenting with, and building on Azure. Through the years, I've encountered the challenges, the triumphs, and the learning curves that come with mastering this expansive platform. But perhaps the most fulfilling part of this journey has been witnessing how Azure empowers businesses—not just from a technical perspective but also from a strategic one. It is a platform that fosters innovation, reduces operational friction, and accelerates the path to digital maturity. In this book, I have distilled everything I’ve learned into a comprehensive guide designed to demystify Azure for anyone—from business leaders to technical experts. It’s a roadmap that breaks down the complexities of Azure’s vast offerings into manageable insights, with practical knowledge and real-world use cases that will guide you through every stage of adoption and mastery. Whether you’re looking to optimize existing systems, build new applications, or migrate your entire infrastructure to the cloud, this guide will equip you with the tools to succeed. But beyond technical knowledge, this book is about empowerment. It’s about helping you see the potential that lies within Azure to reshape how you work, collaborate, and deliver value to your customers. As you turn the pages and dive into the chapters, I hope you will not only discover how Azure works but also realize how it can transform your business, career, and mindset. Cloud computing, especially Azure, is not just a tool—it’s a new way of thinking. So, as we embark on this journey through the powerful world of Microsoft Azure, know that the knowledge you gain here will not just prepare you for today but also position you to tackle the challenges of tomorrow. This book is your gateway to mastering one of the most powerful platforms in the world. I invite you to take this step with me, as together, we unlock the future of business cloud computing. Welcome to your journey of mastering Azure. The cloud awaits.
Publisher: Edwin Cano
ISBN:
Category : Computers
Languages : en
Pages : 333
Book Description
Cloud computing has reshaped the way businesses operate, innovate, and compete in the modern world. Among the many cloud platforms available, Microsoft Azure stands out as a powerful and flexible solution for enterprises, developers, and IT professionals alike. As organizations continue to migrate their operations to the cloud, Azure has become a central hub for building, deploying, and managing applications, infrastructure, and data services with unmatched scalability, security, and efficiency. This book, Mastering Microsoft Azure: A Comprehensive Guide to Business Cloud Computing, is designed to be your roadmap for navigating the complexities of Azure. Whether you're a business leader looking to harness the cloud for operational success, a developer exploring Azure's vast tools for application deployment, or an IT professional aiming to enhance your cloud expertise, this guide will provide the knowledge and practical skills necessary to excel in today’s cloud-driven world. Why Azure? Microsoft Azure is one of the most popular and widely adopted cloud platforms globally, offering over 200 products and services across a broad range of computing needs. From virtual machines and databases to AI, IoT, and machine learning, Azure empowers businesses of all sizes to innovate faster, scale efficiently, and reduce costs. It’s trusted by some of the world’s largest organizations and has earned a reputation for reliability, security, and robust performance. In this book, we will explore Azure from both a technical and strategic perspective, covering everything from foundational concepts to advanced features. Whether you're new to cloud computing or are already familiar with Azure, this book will help you understand how to leverage the platform to solve real-world business challenges, optimize processes, and drive digital transformation. What You Will Learn This guide is structured to provide a comprehensive learning experience. You will gain a deep understanding of the following key topics: Fundamentals of Cloud Computing and Azure – Learn the basics of cloud technology, how Azure fits into the cloud ecosystem, and the fundamental concepts like IaaS, PaaS, and SaaS. Setting Up and Managing Azure Environments – Master the Azure portal, resource management tools, and best practices for managing subscriptions, resource groups, and security. Azure Compute and Networking – Dive into Azure's computing resources, including virtual machines, Azure Kubernetes Service (AKS), and networking services such as virtual networks and load balancing. Storage, Databases, and Analytics – Discover how Azure handles data storage, backups, disaster recovery, and analytics, with an in-depth look at services like Azure SQL, Cosmos DB, and Data Factory. Security, Identity, and Governance – Understand the essential security measures in Azure, including identity management, encryption, access control, and compliance. Automation and DevOps – Learn how to automate tasks and streamline application deployments with tools like Azure DevOps, Logic Apps, and Azure Automation. AI, Machine Learning, and Advanced Services – Explore Azure’s capabilities in artificial intelligence, machine learning, and big data processing, enabling you to unlock the potential of next-generation technologies. Hybrid Cloud and Migration – Understand how to integrate on-premises systems with Azure, create hybrid cloud environments, and execute cloud migration strategies. Optimizing Performance and Costs – Learn how to manage and optimize your Azure environment for performance, cost efficiency, and scalability. Career Development and Certification – Gain insights into pursuing certifications, building a career in cloud computing, and continuous learning in the Azure ecosystem. Who Should Read This Book? This book is aimed at a wide audience, from beginners to advanced users of Azure. It is perfect for: Business decision-makers who want to understand how Azure can help drive digital transformation in their organizations. IT professionals and system administrators looking to improve their skills in managing Azure environments and ensuring seamless cloud operations. Developers interested in deploying, managing, and scaling applications on Azure. Cloud architects seeking to design robust, scalable, and secure cloud solutions. Students and those beginning their cloud computing journey who wish to build a strong foundation in Azure. How to Use This Book Each chapter of this book is designed to be self-contained, meaning you can read it sequentially or jump to specific topics that are most relevant to your needs. For those just starting, it is recommended to begin with the fundamentals and progress through the chapters for a structured learning experience. Advanced users may prefer to skip ahead to more complex topics like Azure DevOps, machine learning, and security best practices. Throughout the book, you'll find step-by-step tutorials, best practices, and real-world use cases that will help you apply the concepts in practical scenarios. At the end of each chapter, you’ll also find a summary and a set of exercises designed to reinforce the concepts learned. Embracing the Cloud Revolution The cloud is no longer just a buzzword—it's a transformative technology that is fundamentally changing how businesses operate. Microsoft Azure offers the tools, resources, and services to help you stay ahead in this cloud-first world. By mastering Azure, you’re not just learning a platform; you’re gaining the skills needed to shape the future of your organization and career. So, whether you are just beginning your Azure journey or looking to deepen your expertise, this book will provide you with the knowledge, tools, and insights necessary to thrive in the cloud era. Let's embark on this exciting journey of mastering Azure and unlocking the full potential of cloud computing for your business and beyond. 4o mini You said: Prologue ChatGPT said: ChatGPT Prologue Cloud computing has transcended from a mere trend to an essential cornerstone of modern business operations. What was once a cutting-edge concept has now become an everyday necessity, driving how we interact with data, collaborate, innovate, and deliver value to customers. As the world continues to embrace digital transformation, cloud platforms like Microsoft Azure have risen to meet the demands of a rapidly evolving landscape. I have witnessed firsthand the tremendous shift in how companies operate—from small startups to global enterprises—empowering them with scalable, secure, and cost-effective solutions. Cloud platforms, particularly Azure, have not only transformed the IT landscape but also reshaped business models, disrupted industries, and created new opportunities for growth and innovation. The power to build, manage, and scale applications in real-time without the burden of traditional on-premises infrastructure has opened up a new realm of possibilities. For many organizations, adopting cloud computing is not merely a matter of technology—it’s about driving change. It's about adopting a mindset that embraces agility, scalability, and flexibility. However, for those who are new to the cloud or even for those experienced in other platforms, Azure can seem overwhelming with its sheer scope, diversity of services, and ever-evolving nature. That’s where this book comes in. I’ve dedicated countless hours studying, experimenting with, and building on Azure. Through the years, I've encountered the challenges, the triumphs, and the learning curves that come with mastering this expansive platform. But perhaps the most fulfilling part of this journey has been witnessing how Azure empowers businesses—not just from a technical perspective but also from a strategic one. It is a platform that fosters innovation, reduces operational friction, and accelerates the path to digital maturity. In this book, I have distilled everything I’ve learned into a comprehensive guide designed to demystify Azure for anyone—from business leaders to technical experts. It’s a roadmap that breaks down the complexities of Azure’s vast offerings into manageable insights, with practical knowledge and real-world use cases that will guide you through every stage of adoption and mastery. Whether you’re looking to optimize existing systems, build new applications, or migrate your entire infrastructure to the cloud, this guide will equip you with the tools to succeed. But beyond technical knowledge, this book is about empowerment. It’s about helping you see the potential that lies within Azure to reshape how you work, collaborate, and deliver value to your customers. As you turn the pages and dive into the chapters, I hope you will not only discover how Azure works but also realize how it can transform your business, career, and mindset. Cloud computing, especially Azure, is not just a tool—it’s a new way of thinking. So, as we embark on this journey through the powerful world of Microsoft Azure, know that the knowledge you gain here will not just prepare you for today but also position you to tackle the challenges of tomorrow. This book is your gateway to mastering one of the most powerful platforms in the world. I invite you to take this step with me, as together, we unlock the future of business cloud computing. Welcome to your journey of mastering Azure. The cloud awaits.
Mastering Azure
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 218
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 218
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Mastering Azure Serverless Computing
Author: Lorenzo Barbieri
Publisher: Packt Publishing Ltd
ISBN: 1789952050
Category : Computers
Languages : en
Pages : 351
Book Description
Become an expert in implementing Azure Functions to work seamlessly with your serverless applications Key FeaturesDevelop scalable, robust multi-tier apps without worrying about infrastructure needsDeploy and manage cost-effective and highly available serverless apps using Azure FunctionsAccelerate enterprise-level application development by seamlessly integrating different cloud services with Azure FunctionsBook Description Application development has evolved from traditional monolithic app development to using serverless options and microservices. This book is designed to guide you through using Microsoft's Azure Functions to process data, integrate systems, and build simple APIs and microservices. You will discover how to apply serverless computing to speed up deployment and reduce downtime. You'll also explore Azure Functions, including its core functionalities and essential tools, along with understanding how to debug and even customize Azure Functions. In addition to this, the book will take you through how you can effectively implement DevOps and automation in your working environment. Toward the concluding chapters, you'll cover some quick tips, troubleshooting techniques, and real-world serverless use cases that will help you make the most of serverless computing. By the end of this book, you will have gained the skills you need to develop and deliver cost-effective Azure serverless solutions. What you will learnCreate and deploy advanced Azure FunctionsLearn to extend the runtime of Azure FunctionsOrchestrate your logic through code or a visual workflowAdd caching, security, routing, and filtering to your APIsUse serverless technologies in real-world scenariosUnderstand how to apply DevOps and automation to your working environmentWho this book is for This book is designed for cloud administrators, architects, and developers interested in building scalable systems and deploying serverless applications with Azure Functions. Prior knowledge of core Microsoft Azure services and Azure Functions is necessary to understand the topics covered in this book.
Publisher: Packt Publishing Ltd
ISBN: 1789952050
Category : Computers
Languages : en
Pages : 351
Book Description
Become an expert in implementing Azure Functions to work seamlessly with your serverless applications Key FeaturesDevelop scalable, robust multi-tier apps without worrying about infrastructure needsDeploy and manage cost-effective and highly available serverless apps using Azure FunctionsAccelerate enterprise-level application development by seamlessly integrating different cloud services with Azure FunctionsBook Description Application development has evolved from traditional monolithic app development to using serverless options and microservices. This book is designed to guide you through using Microsoft's Azure Functions to process data, integrate systems, and build simple APIs and microservices. You will discover how to apply serverless computing to speed up deployment and reduce downtime. You'll also explore Azure Functions, including its core functionalities and essential tools, along with understanding how to debug and even customize Azure Functions. In addition to this, the book will take you through how you can effectively implement DevOps and automation in your working environment. Toward the concluding chapters, you'll cover some quick tips, troubleshooting techniques, and real-world serverless use cases that will help you make the most of serverless computing. By the end of this book, you will have gained the skills you need to develop and deliver cost-effective Azure serverless solutions. What you will learnCreate and deploy advanced Azure FunctionsLearn to extend the runtime of Azure FunctionsOrchestrate your logic through code or a visual workflowAdd caching, security, routing, and filtering to your APIsUse serverless technologies in real-world scenariosUnderstand how to apply DevOps and automation to your working environmentWho this book is for This book is designed for cloud administrators, architects, and developers interested in building scalable systems and deploying serverless applications with Azure Functions. Prior knowledge of core Microsoft Azure services and Azure Functions is necessary to understand the topics covered in this book.
Mastering Azure Machine Learning
Author: Christoph Korner
Publisher: Packt Publishing Ltd
ISBN: 1803246790
Category : Computers
Languages : en
Pages : 624
Book Description
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features Implement end-to-end machine learning pipelines on Azure Train deep learning models using Azure compute infrastructure Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. What you will learn Understand the end-to-end ML pipeline Get to grips with the Azure Machine Learning workspace Ingest, analyze, and preprocess datasets for ML using the Azure cloud Train traditional and modern ML techniques efficiently using Azure ML Deploy ML models for batch and real-time scoring Understand model interoperability with ONNX Deploy ML models to FPGAs and Azure IoT Edge Build an automated MLOps pipeline using Azure DevOps Who this book is for This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.
Publisher: Packt Publishing Ltd
ISBN: 1803246790
Category : Computers
Languages : en
Pages : 624
Book Description
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features Implement end-to-end machine learning pipelines on Azure Train deep learning models using Azure compute infrastructure Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. What you will learn Understand the end-to-end ML pipeline Get to grips with the Azure Machine Learning workspace Ingest, analyze, and preprocess datasets for ML using the Azure cloud Train traditional and modern ML techniques efficiently using Azure ML Deploy ML models for batch and real-time scoring Understand model interoperability with ONNX Deploy ML models to FPGAs and Azure IoT Edge Build an automated MLOps pipeline using Azure DevOps Who this book is for This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.
Mastering Azure Virtual Desktop
Author: Ryan Mangan
Publisher: Packt Publishing Ltd
ISBN: 1835884156
Category : Computers
Languages : en
Pages : 718
Book Description
Explore the advanced capabilities of Azure Virtual Desktop and enhance your skills in cloud-based virtualization and remote application delivery Key Features Learn how to design a strong architecture for your Azure Virtual Desktop Implement, monitor, and maintain a virtual desktop environment Gain insights into Azure Virtual Desktop and prepare successfully for the AZ-140 exam Purchase of the print or Kindle book includes a free PDF eBook Book Description Acquire in-depth knowledge for designing, building, and supporting Azure Virtual Desktop environments with the updated second edition of Mastering Azure Virtual Desktop. With content aligned with exam objectives, this book will help you ace the Microsoft AZ-140 exam. This book starts with an introduction to Azure Virtual Desktop before delving into the intricacies of planning and architecting its infrastructure. As you progress, you’ll learn about the implementation process, with an emphasis on best practices and effective strategies. You’ll explore key areas such as managing and controlling access, advanced monitoring with the new Azure Monitoring Agent, and advanced application deployment. You’ll also gain hands-on experience with essential features like the MSIX app attach, enhancing user experience and operational efficiency. Beyond advancing your skills, this book is a crucial resource for those preparing for the Microsoft Certified: Azure Virtual Desktop Specialty certification. By the end of this book, you’ll have a thorough understanding of the Azure Virtual Desktop environment, from design to implementation. What you will learn Architect a robust Azure Virtual Desktop setup Master the essentials of networking and storage configurations Create and configure session host images and host pools Gain insights into controlling access and enhancing security Implement FSLogix profile containers and Cloud Cache for improved performance Discover MSIX app attach for efficient application delivery Understand strategies for business continuity and disaster recovery Monitor and manage the performance and health of your Azure Virtual Desktop environment Who this book is for Mastering Azure Virtual Desktop is for IT professionals, modern workspace administrators, architects, and consultants who want to learn how to design, implement, and manage Azure Virtual Desktop environments. Whether you're aiming to enhance your expertise in cloud virtualization or preparing for the Microsoft AZ-140 exam, this guide is an invaluable resource for advancing your skills.
Publisher: Packt Publishing Ltd
ISBN: 1835884156
Category : Computers
Languages : en
Pages : 718
Book Description
Explore the advanced capabilities of Azure Virtual Desktop and enhance your skills in cloud-based virtualization and remote application delivery Key Features Learn how to design a strong architecture for your Azure Virtual Desktop Implement, monitor, and maintain a virtual desktop environment Gain insights into Azure Virtual Desktop and prepare successfully for the AZ-140 exam Purchase of the print or Kindle book includes a free PDF eBook Book Description Acquire in-depth knowledge for designing, building, and supporting Azure Virtual Desktop environments with the updated second edition of Mastering Azure Virtual Desktop. With content aligned with exam objectives, this book will help you ace the Microsoft AZ-140 exam. This book starts with an introduction to Azure Virtual Desktop before delving into the intricacies of planning and architecting its infrastructure. As you progress, you’ll learn about the implementation process, with an emphasis on best practices and effective strategies. You’ll explore key areas such as managing and controlling access, advanced monitoring with the new Azure Monitoring Agent, and advanced application deployment. You’ll also gain hands-on experience with essential features like the MSIX app attach, enhancing user experience and operational efficiency. Beyond advancing your skills, this book is a crucial resource for those preparing for the Microsoft Certified: Azure Virtual Desktop Specialty certification. By the end of this book, you’ll have a thorough understanding of the Azure Virtual Desktop environment, from design to implementation. What you will learn Architect a robust Azure Virtual Desktop setup Master the essentials of networking and storage configurations Create and configure session host images and host pools Gain insights into controlling access and enhancing security Implement FSLogix profile containers and Cloud Cache for improved performance Discover MSIX app attach for efficient application delivery Understand strategies for business continuity and disaster recovery Monitor and manage the performance and health of your Azure Virtual Desktop environment Who this book is for Mastering Azure Virtual Desktop is for IT professionals, modern workspace administrators, architects, and consultants who want to learn how to design, implement, and manage Azure Virtual Desktop environments. Whether you're aiming to enhance your expertise in cloud virtualization or preparing for the Microsoft AZ-140 exam, this guide is an invaluable resource for advancing your skills.
Mastering Azure Machine Learning
Author: Christoph Körner
Publisher: Packt Publishing Ltd
ISBN: 1789801524
Category : Computers
Languages : en
Pages : 437
Book Description
Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.
Publisher: Packt Publishing Ltd
ISBN: 1789801524
Category : Computers
Languages : en
Pages : 437
Book Description
Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.
MASTERING AZURE FOR PREDICTIVE ANALYTICS AND MACHINE LEARNING
Author: KRISHNA KISHOR TIRUPATI SATISH VADLAMANI SHALU JAIN A RENUKA
Publisher: DeepMisti Publication
ISBN: 9360447439
Category : Computers
Languages : en
Pages : 213
Book Description
In Today's Data-Driven World, The Ability To Harness The Power Of Predictive Analytics And Machine Learning Has Become A Pivotal Force In Shaping Innovation Across Industries. This Book, Mastering Azure For Predictive Analytics And Machine Learning, Aims To Bridge The Gap Between Cloud Technology And The Analytical Tools Needed To Drive Insights From Complex Data. Our Objective Is To Provide Readers With The Foundational Knowledge And Advanced Techniques Necessary To Leverage Microsoft Azure For Predictive Modeling And Machine Learning Applications. The Structure Of This Book Offers A Comprehensive Exploration Of The Tools, Methodologies, And Best Practices That Define Modern Analytics And Machine Learning In The Cloud. From Setting Up Your Azure Environment To Deploying Machine Learning Models, We Cover Each Stage With Practical Examples And Detailed Guidance. The Content Is Designed For A Broad Audience, Including Students, Data Scientists, It Professionals, And Business Leaders Who Seek To Use Azure’s Capabilities To Make Data-Informed Decisions. Drawing From The Latest Industry Research And Real-World Use Cases, This Book Not Only Provides Theoretical Knowledge But Also Equips Readers With Hands-On Skills They Can Apply In Real-Time Data Projects. Each Chapter Balances Depth With Accessibility, Covering Topics Like Data Preparation, Model Building, And Cloud-Based Deployment, While Also Touching On Critical Issues Such As Scalability, Security, And Automation. Additionally, We Highlight Best Practices For Managing Azure’s Infrastructure And Optimizing Machine Learning Workflows Within The Platform. The Inspiration For This Book Comes From The Recognition Of The Growing Role That Cloud Platforms Like Azure Play In Transforming How Organizations Use Data To Innovate And Compete. We Are Immensely Thankful To Chancellor Shri Shiv Kumar Gupta Of Maharaja Agrasen Himalayan Garhwal University For His Support And Commitment To Academic And Technological Excellence, Which Has Been Instrumental In Making This Book A Reality. We Hope That Mastering Azure For Predictive Analytics And Machine Learning Will Be A Valuable Resource For Anyone Looking To Deepen Their Understanding Of How Cloud Computing And Machine Learning Can Converge To Unlock The Full Potential Of Predictive Analytics. The Knowledge Contained In These Pages Is Intended To Empower Readers To Lead Transformative Data Projects With Confidence. Thank You For Embarking On This Journey With Us. Authors
Publisher: DeepMisti Publication
ISBN: 9360447439
Category : Computers
Languages : en
Pages : 213
Book Description
In Today's Data-Driven World, The Ability To Harness The Power Of Predictive Analytics And Machine Learning Has Become A Pivotal Force In Shaping Innovation Across Industries. This Book, Mastering Azure For Predictive Analytics And Machine Learning, Aims To Bridge The Gap Between Cloud Technology And The Analytical Tools Needed To Drive Insights From Complex Data. Our Objective Is To Provide Readers With The Foundational Knowledge And Advanced Techniques Necessary To Leverage Microsoft Azure For Predictive Modeling And Machine Learning Applications. The Structure Of This Book Offers A Comprehensive Exploration Of The Tools, Methodologies, And Best Practices That Define Modern Analytics And Machine Learning In The Cloud. From Setting Up Your Azure Environment To Deploying Machine Learning Models, We Cover Each Stage With Practical Examples And Detailed Guidance. The Content Is Designed For A Broad Audience, Including Students, Data Scientists, It Professionals, And Business Leaders Who Seek To Use Azure’s Capabilities To Make Data-Informed Decisions. Drawing From The Latest Industry Research And Real-World Use Cases, This Book Not Only Provides Theoretical Knowledge But Also Equips Readers With Hands-On Skills They Can Apply In Real-Time Data Projects. Each Chapter Balances Depth With Accessibility, Covering Topics Like Data Preparation, Model Building, And Cloud-Based Deployment, While Also Touching On Critical Issues Such As Scalability, Security, And Automation. Additionally, We Highlight Best Practices For Managing Azure’s Infrastructure And Optimizing Machine Learning Workflows Within The Platform. The Inspiration For This Book Comes From The Recognition Of The Growing Role That Cloud Platforms Like Azure Play In Transforming How Organizations Use Data To Innovate And Compete. We Are Immensely Thankful To Chancellor Shri Shiv Kumar Gupta Of Maharaja Agrasen Himalayan Garhwal University For His Support And Commitment To Academic And Technological Excellence, Which Has Been Instrumental In Making This Book A Reality. We Hope That Mastering Azure For Predictive Analytics And Machine Learning Will Be A Valuable Resource For Anyone Looking To Deepen Their Understanding Of How Cloud Computing And Machine Learning Can Converge To Unlock The Full Potential Of Predictive Analytics. The Knowledge Contained In These Pages Is Intended To Empower Readers To Lead Transformative Data Projects With Confidence. Thank You For Embarking On This Journey With Us. Authors
Mastering DevOps in Kubernetes
Author: Soumiyajit Das Chowdhury
Publisher: BPB Publications
ISBN: 9355518307
Category : Computers
Languages : en
Pages : 458
Book Description
Learn how to build, deploy, use, and maintain your applications on Kubernetes KEY FEATURES ● Learn how to provision Kubernetes clusters using different cloud providers and infrastructure tools. ● Explore several advanced options to manage applications in Kubernetes. ● Get familiar with the best practices for securing applications and clusters. DESCRIPTION DevOps with Kubernetes combines two powerful technologies to bring efficiency and speed to the software development process. Kubernetes has become the de facto standard for container orchestration, while DevOps practices are rapidly becoming essential for organizations to manage their software development and delivery pipelines. By using Kubernetes and DevOps practices together, teams can streamline their deployment processes, reduce errors, and deliver software faster and more reliably. The book starts by addressing the real-time challenges and issues that DevOps practitioners face. The book then helps you become acquainted with the fundamental and advanced Kubernetes features, and develop a comprehensive understanding of the standard CNCF components that accompany Kubernetes. The book then delves deeper into the three leading managed Kubernetes services - GKE, AKS, and EKS. Additionally, the book will help to learn how to implement security measures to protect your Kubernetes deployments. The book further explores a range of monitoring tools and techniques that can be used to quickly identify and resolve issues in Kubernetes clusters. Finally, the book will help you learn how to use the Istio Service Mesh to secure communication between workloads hosted by Kubernetes. With this information, you will be able to deploy, scale, and monitor apps on Kubernetes. WHAT YOU WILL LEARN ● Learn how to manage stateful containers with Kubernetes. ● Get to know more observability and monitoring in Kubernetes. ● Package and deploy applications on Kubernetes using Helm. ● Learn how to use Skaffold and Flux for CI/CD. ● Learn how microservices can be managed and deployed using the Istio service mesh. WHO THIS BOOK IS FOR The book is a must-read for DevOps teams using Kubernetes to deploy container workloads. It offers valuable insights into the best practices required to make their application container-agnostic and streamline their workflows. TABLE OF CONTENTS 1. DevOps for Kubernetes 2. Container Management with Docker 3. Speeding up with Standard Kubernetes Operations 4. Stateful Workloads in Kubernetes 5. Amazon Elastic Kubernetes Service 6. Azure Kubernetes Service 7. Google Kubernetes Engine 8. Kubernetes Administrator 9. Kubernetes Security 10. Monitoring in Kubernetes 11. Packaging and Deploying in Kubernetes 12. Continuous Development and Continuous Deployment 13. Managing Microservices Using Istio Service Mesh
Publisher: BPB Publications
ISBN: 9355518307
Category : Computers
Languages : en
Pages : 458
Book Description
Learn how to build, deploy, use, and maintain your applications on Kubernetes KEY FEATURES ● Learn how to provision Kubernetes clusters using different cloud providers and infrastructure tools. ● Explore several advanced options to manage applications in Kubernetes. ● Get familiar with the best practices for securing applications and clusters. DESCRIPTION DevOps with Kubernetes combines two powerful technologies to bring efficiency and speed to the software development process. Kubernetes has become the de facto standard for container orchestration, while DevOps practices are rapidly becoming essential for organizations to manage their software development and delivery pipelines. By using Kubernetes and DevOps practices together, teams can streamline their deployment processes, reduce errors, and deliver software faster and more reliably. The book starts by addressing the real-time challenges and issues that DevOps practitioners face. The book then helps you become acquainted with the fundamental and advanced Kubernetes features, and develop a comprehensive understanding of the standard CNCF components that accompany Kubernetes. The book then delves deeper into the three leading managed Kubernetes services - GKE, AKS, and EKS. Additionally, the book will help to learn how to implement security measures to protect your Kubernetes deployments. The book further explores a range of monitoring tools and techniques that can be used to quickly identify and resolve issues in Kubernetes clusters. Finally, the book will help you learn how to use the Istio Service Mesh to secure communication between workloads hosted by Kubernetes. With this information, you will be able to deploy, scale, and monitor apps on Kubernetes. WHAT YOU WILL LEARN ● Learn how to manage stateful containers with Kubernetes. ● Get to know more observability and monitoring in Kubernetes. ● Package and deploy applications on Kubernetes using Helm. ● Learn how to use Skaffold and Flux for CI/CD. ● Learn how microservices can be managed and deployed using the Istio service mesh. WHO THIS BOOK IS FOR The book is a must-read for DevOps teams using Kubernetes to deploy container workloads. It offers valuable insights into the best practices required to make their application container-agnostic and streamline their workflows. TABLE OF CONTENTS 1. DevOps for Kubernetes 2. Container Management with Docker 3. Speeding up with Standard Kubernetes Operations 4. Stateful Workloads in Kubernetes 5. Amazon Elastic Kubernetes Service 6. Azure Kubernetes Service 7. Google Kubernetes Engine 8. Kubernetes Administrator 9. Kubernetes Security 10. Monitoring in Kubernetes 11. Packaging and Deploying in Kubernetes 12. Continuous Development and Continuous Deployment 13. Managing Microservices Using Istio Service Mesh
Mastering Powershell
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 253
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 253
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.