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Auteur Abhishek MISHRA |
Documents disponibles écrits par cet auteur (5)
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Mastering Azure Kubernetes Service (AKS) : Rapidly Build and Scale Your Containerized Applications with Microsoft Azure Kubernetes Service (English Edition) / Abhishek MISHRA / BPB Publications (2021)
Titre : Mastering Azure Kubernetes Service (AKS) : Rapidly Build and Scale Your Containerized Applications with Microsoft Azure Kubernetes Service (English Edition) Type de document : e-book Auteurs : Abhishek MISHRA Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789391030162 Note générale : copyrighted Langues : Anglais (eng) Résumé : Become an expert in running containerization operations using serverless Kubernetes and Microsoft AzureKey Features? 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).DescriptionThis 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.Who this book is forThis 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.Table of Contents1. Overview of Kubernetes and Containers on Azure2. Azure Kubernetes Service Core Concepts3. Create Azure Kubernetes Service Cluster4. Deploy to the Azure Kubernetes Service Cluster5. Manage the Azure Kubernetes Service Cluster6. Monitor the Azure Kubernetes Service Cluster7. Serverless Kubernetes on Azure8. Windows Container on Kubernetes Service9. DevOps for Azure Kubernetes Service10. Design and Implement Solutions on Azure Kubernetes ServiceAbout the Authors 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.LinkedIn Bio: https://www.linkedin.com/in/abhishek-mishra-4890909 Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939139 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=564516
Titre : Machine Learning for iOS Developers Ed. 1 Type de document : e-book Auteurs : Abhishek MISHRA Editeur : John Wiley & Sons Année de publication : 2020 ISBN/ISSN/EAN : 9781119602873 Note générale : copyrighted Langues : Anglais (eng) Résumé : Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications. Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book's clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models?both pre-trained and user-built?with Apple's CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming Develop skills in data acquisition and modeling, classification, and regression. Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS) Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945303 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578877 Mastering Azure Serverless Computing : Design and Implement End-to-End Highly Scalable Azure Serverless Solutions with Ease / Abhishek MISHRA / BPB Publications (2020)
Titre : Mastering Azure Serverless Computing : Design and Implement End-to-End Highly Scalable Azure Serverless Solutions with Ease Type de document : e-book Auteurs : Abhishek MISHRA Editeur : BPB Publications Année de publication : 2020 ISBN/ISSN/EAN : 9789389898163 Note générale : copyrighted Langues : Anglais (eng) Résumé : A comprehensive guide that will teach you to build and implement Azure serverless solutions Key Features Learn the Function as a Service (FaaS) offering from Microsoft AzureBuild Enterprise-grade workflows and integration using Azure Logic App Build event-driven Serverless solutions using Azure Event GridUse Azure Service Bus to facilitate messaging between Azure Serverless components Implement advanced Serverless services such as Azure Serverless SQL Database and Azure Serverless Kubernetes DescriptionThe book starts with the basic concepts of Serverless Computing, its evolution, characteristics, and benefits. The next set of chapters is based on Azure Function as a Service (FaaS) programming model where you will gain proficiency in creating Serverless Azure Function, which is the basic unit of Azure Serverless Computing. Furthermore, the book focuses on building Azure Serverless Messaging, Integration, and Workflow that facilitates communication between components in the Azure Serverless ecosystem. Azure Logic Apps, Azure Event Grid, and Azure Service Bus are explained in detail. You will also work with advanced Azure Serverless services such as Azure Serverless Database and Azure Serverless Kubernetes that are essential for building highly scalable (at runtime) next-generation Serverless applications. Towards the end, the book focuses on reference architectures for Serverless Computing scenarios. By now, you will be proficient in working with Azure Serverless components, and their integration and can design and build an end to end Azure Serverless solution. What will you learnDesign and implement Serverless workflows using Azure Logic AppsDesign and implement Integration Services using Azure Event GridLearn how to build Messaging Services on Azure Serverless platformWork with Azure Serverless SQL databaseGet familiar with Azure Serverless Kubernetes ArchitectureWho this book is forAnyone familiar with Cloud Fundamentals can use this book to get upskilled in Azure Serverless Computing and become an expert in it. Architects and Developers proficient in Microsoft Azure can use this book to learn Azure Serverless Computing and apply the knowledge gained to design and build solutions in this area.Table of Contents 1. Introduction to Azure Serverless Computing2. Azure Functions3. Azure Durable Functions4. Azure Logic Apps5. Azure Event Grid6. Azure Service Bus7. Azure Serverless SQL Database8. Azure Serverless Kubernetes9. Designing Azure Serverless Solutions10. Implementing Azure Serverless SolutionsAbout the Author Abhishek Mishra is an Architect with a leading Fortune 500 software multinational company and has deep expertise 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 14+ 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 and December 2019 two 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 nopCommerce Days 2019 Mumbai, C# Corner Pune Conference 2019, Global Power Platform Bootcamp Pune, and many more. Your LinkedIn Profile: https://www.linkedin.com/in/abhishek-mishra-4890909 Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939140 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=564517 Machine Learning in the AWS Cloud : Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition Ed. 1 / Abhishek MISHRA / John Wiley & Sons (2019)
Titre : Machine Learning in the AWS Cloud : Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition Ed. 1 Type de document : e-book Auteurs : Abhishek MISHRA Editeur : John Wiley & Sons Année de publication : 2019 ISBN/ISSN/EAN : 9781119556718 Note générale : copyrighted Langues : Anglais (eng) Résumé : Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services. Part One introduces readers to fundamental machine learning concepts. You will learn about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services provided by Amazon Web Services. You'll be introduced to the basics of cloud computing and AWS offerings in the cloud-based machine learning space. Then you'll learn to use Amazon Machine Learning to solve a simpler class of machine learning problems, and Amazon SageMaker to solve more complex problems. ? Learn techniques that allow you to preprocess data, basic feature engineering, visualizing data, and model building ? Discover common neural network frameworks with Amazon SageMaker ? Solve computer vision problems with Amazon Rekognition ? Benefit from illustrations, source code examples, and sidebars in each chapter The book appeals to both Python developers and technical/solution architects. Developers will find concrete examples that show them how to perform common ML tasks with Python on AWS. Technical/solution architects will find useful information on the machine learning capabilities of the AWS ecosystem. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945246 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578830 Amazon Web Services for Mobile Developers : Building Apps with AWS Ed. 1 / Abhishek MISHRA / John Wiley & Sons (2017)
Titre : Amazon Web Services for Mobile Developers : Building Apps with AWS Ed. 1 Type de document : e-book Auteurs : Abhishek MISHRA Editeur : John Wiley & Sons Année de publication : 2017 ISBN/ISSN/EAN : 9781119377856 Note générale : copyrighted Langues : Anglais (eng) Résumé : A practical, real-world introduction to AWS tools and concepts Amazon Web Services for Mobile Developers: Building Apps with AWS presents a professional view of cloud computing and AWS for experienced iOS/Android developers and technical/solution architects. Cloud computing is a rapidly expanding ecosystem, and working professionals need a practical resource to bring them up-to-date on tools that are rapidly becoming indispensable; this book helps expand your skill set by introducing you to AWS offerings that can make your job easier, with a focus on real-world application. Author and mobile applications developer Abhishek Mishra shows you how to create IAM accounts and try out some of the most popular services, including EC2, Lambda, Mobile Analytics, Device Farm, and more. You'll build a chat application in both Swift (iOS) and Java (Andoid), running completely off AWS Infrastructure to explore SDK installation, Xcode, Cognito authentication, DynamoDB, Amazon SNA Notifications, and other useful tools. By actually using the tools as you learn about them, you develop a more intuitive understanding that feels less like a shift and more like a streamlined integration. If you have prior experience with Swift or Java and a solid knowledge of web services, this book can help you quickly take your skills to the next level with a practical approach to learning that translates easily into real-world use. Understand the key concepts of AWS as applied to both iOS and Android developers Explore major AWS offerings for mobile developers, including DynamoDB, RDS, EC2, SNS, Cognito, and more Learn what people are talking about when they use buzzwords like PaaS, IaaS, SaaS, and APaaS Work through explanations by building apps that tie into the AWS ecosystem Any job is easier with the right tools, and Amazon Web Services for Mobile Developers: Building Apps with AWS gets you acquainted with an ever-expanding toolkit for mobile app development. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88944344 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578133
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