Learning Dapr

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Learning Dapr

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Author : Haishi Bai
language : en
Publisher: O'Reilly Media
Release Date : 2020-08-24

Learning Dapr written by Haishi Bai and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Computers categories.

Get the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model’s creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere—in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider, both with Microsoft’s Azure CTO team, explain that, with Dapr, you don’t need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, the actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr. Learn the new programming model for cloud native applications Write high-performance distributed applications without drilling into technical details Use Dapr with any language or framework to write microservices easily Learn how Dapr provides consistency and portability through open APIs and extensible, community-driven components Explore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scale Integrate cloud applications with various SaaS offerings, such as machine learning

Learning Dapr

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Author : Haishi Bai
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-13

Get the authoritative guide on Dapr, the new distributed programming model that works with existing and new programming languages alike. Written by the model's creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere--in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider with Microsoft's Azure CTO team explain that with Dapr you don't need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr.

Learning Dapr

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Author : Haishi Bai
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-08-24

Learning Dapr written by Haishi Bai and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Computers categories.

Practical Microservices With Dapr And Net

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Author : Davide Bedin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-12-11

Practical Microservices With Dapr And Net written by Davide Bedin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Computers categories.

Use the new, enticing, and highly portable event-driven runtime to simplify building resilient and scalable microservices for cloud and edge applications Key FeaturesBuild resilient, stateless, and stateful microservice applications that run on the cloud and edgeSolve common distributed systems such as low latency and scaling using any language and frameworkUse real-time and proactive monitoring tools to support a reliable and highly available systemBook Description Over the last decade, there has been a huge shift from heavily coded monolithic applications to finer, self-contained microservices. Dapr is a new, open source project by Microsoft that provides proven techniques and best practices for developing modern applications. It offers platform-agnostic features for running your applications on public cloud, on-premises, and even on edge devices. This book will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr offers ease of implementation while allowing you to work with multiple languages and platforms. You'll also understand how Dapr's runtime, services, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices. Dapr provides an event-driven runtime that supports the essential features you need to build microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr. By the end of this book, you'll be able to write microservices easily using your choice of language or framework by implementing industry best practices to solve problems related to distributed systems. What you will learnUse Dapr to create services, invoking them directly and via pub/subDiscover best practices for working with microservice architecturesLeverage the actor model to orchestrate data and behaviorUse Azure Kubernetes Service to deploy a sample applicationMonitor Dapr applications using Zipkin, Prometheus, and GrafanaScale and load test Dapr applications on KubernetesWho this book is for This book is for developers looking to explore microservices architectures and implement them in Dapr applications using examples on Microsoft .NET Core. Whether you are new to microservices or have knowledge of this architectural approach and want to get hands-on experience in using Dapr, you’ll find this book useful. Familiarity with .NET Core will help you to understand the C# samples and code snippets used in the book.

Introducing Distributed Application Runtime Dapr

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Author : Radoslav Gatev
language : en
Publisher: Apress
Release Date : 2021-09-04

Introducing Distributed Application Runtime Dapr written by Radoslav Gatev and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-04 with Computers categories.

Use this book to learn the Distributed Application Runtime (Dapr), a new event-driven runtime from Microsoft designed to help developers build microservices applications, using a palette of languages and frameworks that run everywhere: on-premises, in any cloud, and even on the edge. One of the most popular architectural patterns for implementing large, complex, distributed solutions is the microservices architectural style. Because solutions are composed of services based on various languages, frameworks, and platforms, the more complex and compartmentalized an application becomes, the more considerations a developer has to keep in mind. Much of the time this proves to be difficult. Introducing Distributed Application Runtime (Dapr) is your guide to achieving more with less through patterns. Part I of the book is about understanding microservices and getting up and running with Dapr, either on your machine or in any Kubernetes cluster. From there you are guided through the concepts of Dapr, how it works, and what it can do for you. You will wrap up with various ways to debug Dapr applications using Visual Studio Code locally, inside a container or Kubernetes. In Part II you will jump into the reusable patterns and practices, the building blocks of Dapr. You will go from service invocation, publish and subscribe, state management, resource bindings, and the Actor model to secrets; each building block is covered in detail in its own dedicated chapter. You will learn what Dapr offers from a functional perspective and also how you can leverage the three pillars of observability (logs, metrics, and traces) in order to gain insight into your applications. In Part III you will explore advanced concepts, including using middleware pipelines, integrating Dapr into web frameworks such as ASP.NET Core, or the runtimes of Azure Logic Apps and Azure Functions. The book features a multi-versed set of examples that cover not only the plain API of Dapr, but also the .NET SDK. Hence, most of the examples are in .NET 5, with a small number in JavaScript to exemplify the use of multiple languages. Examples show you how to securely use Dapr to leverage a variety of services in Microsoft Azure, including Azure Kubernetes Service, Azure Storage, Azure Service Bus, Azure Event Grid, Azure Key Vault, Azure Monitor, and Azure Active Directory among others. What You Will Learn Recognize the challenges and boundaries of microservices architecture Host Dapr inside a Kubernetes cluster or as a standalone process Leverage and use Dapr’s ready-to-use patterns and practices Utilize its HTTP/gRPC APIs Use Dapr with ASP.NET Core and in .NET applications (with or without the SDK) Implement observability for Dapr applications Secure Dapr applications Integrate Dapr with the runtime of Azure Logic Apps and Azure Functions Realize the full potential of Visual Studio Code by using the right extensions that will contribute to a better development experience Who This Book Is For Developers and architects who want to utilize a proven set of patterns to help easily implement microservices applications

Practical Microservices With Dapr And Net

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Author : Davide Bedin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-11-11

Use the innovative, highly portable event-driven distributed application runtime to simplify building resilient and scalable microservices for cloud and edge applications. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesBuild resilient, stateless, and stateful microservice applications that run on the cloud and edgeOvercome common issues in distributed systems, such as low latency and scaling, using any language and frameworkLearn how to expose and operate Dapr applications with multiple optionsBook Description This second edition will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr simplifies development while allowing you to work with multiple languages and platforms. Following a C# sample, you'll understand how Dapr's runtime, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices. Dapr provides an event-driven runtime that supports the essential features you need for building microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr. With a focus on deploying the Dapr sample application to an Azure Kubernetes Service cluster and to the Azure Container Apps serverless platform, you'll see how to expose the Dapr application with NGINX, YARP, and Azure API Management. By the end of this book, you'll be able to write microservices easily by implementing industry best practices to solve problems related to distributed systems. What you will learnUse Dapr to create services, invoking them directly and via pub/subDiscover best practices for working with microservice architecturesLeverage the actor model to orchestrate data and behaviorExpose API built with Dapr applications via NGINX and Azure API ManagementUse Azure Kubernetes Service to deploy a sample applicationMonitor Dapr applications using Zipkin, Prometheus, and GrafanaScale and load test Dapr applications on KubernetesGet to grips with Azure Container Apps as you combine Dapr with a serverless platformWho this book is for This book is for developers looking to explore and implement microservices architectures in Dapr applications using .NET examples. Whether you are new to microservices or have knowledge of this architectural approach and want to get hands-on experience using Dapr, you'll find this book useful. Familiarity with .NET will help you to understand the C# samples and code snippets used in the book.

Learning Serverless

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Author : Jason Katzer
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-29

Learning Serverless written by Jason Katzer and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-29 with Computers categories.

Whether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early- and mid-career developers what's required to build and ship maintainable and scalable services using this model. With this book, you'll learn how to build a modern production system in the cloud, viewed through the lens of serverless computing. You'll discover how serverless can free you from the tedious task of setting up and maintaining systems in production. You'll also explore new ways to level up your career and design, develop, and deploy with confidence. In three parts, this book includes: The Path to Production: Examine the ins and outs of distributed systems, microservices, interfaces, and serverless architecture and patterns The Tools: Dive into monitoring, observability and alerting, logging, pipelines, automation, and deployment Concepts: Learn how to design security and privacy, how to manage quality through testing and staging, and how to plan for failure

Learning Ratpack

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Author : Dan Woods
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-06

Learning Ratpack written by Dan Woods and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06 with Computers categories.

Build robust, highly scalable reactive web applications with Ratpack, the lightweight JVM framework. With this practical guide, you’ll discover how asynchronous applications differ from more traditional thread-per-request systems—and how you can reap the benefits of complex non-blocking through an API that makes the effort easy to understand and adopt. Author Dan Woods—a member of the Ratpack core team—provides a progressively in-depth tour of Ratpack and its capabilities, from basic concepts to tools and strategies to help you construct fast, test-driven applications in a semantic and expressive way. Ideal for Java web developers familiar with Grails or Spring, this book is applicable to all versions of Ratpack 1.x. Configure your applications and servers to accommodate the cloud Use Ratpack testing structures on both new and legacy applications Add advanced capabilities, such as component binding, with modules Explore Ratpack’s static content generation and serving mechanisms Provide a guaranteed execution order to asynchronous processing Model data and the data access layer to build high-performance, data-driven applications Work with reactive and functional programming strategies Use distribution techniques that support continuous delivery and other deployment tactics

The Azure Cloud Native Architecture Mapbook

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Author : Stephane Eyskens
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-17

The Azure Cloud Native Architecture Mapbook written by Stephane Eyskens and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Computers categories.

Improve your Azure architecture practice and set out on a cloud and cloud-native journey with this Azure cloud native architecture guide Key FeaturesDiscover the key drivers of successful Azure architectureImplement architecture maps as a compass to tackle any challengeUnderstand architecture maps in detail with the help of practical use casesBook Description Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements. Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security. By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives. What you will learnGain overarching architectural knowledge of the Microsoft Azure cloud platformExplore the possibilities of building a full Azure solution by considering different architectural perspectivesImplement best practices for architecting and deploying Azure infrastructureReview different patterns for building a distributed application with ecosystem frameworks and solutionsGet to grips with cloud-native concepts using containerized workloadsWork with AKS (Azure Kubernetes Service) and use it with service mesh technologies to design a microservices hosting platformWho this book is for This book is for aspiring Azure Architects or anyone who specializes in security, infrastructure, data, and application architecture. If you are a developer or infrastructure engineer looking to enhance your Azure knowledge, you'll find this book useful.

Domain Adaptation And Representation Transfer And Distributed And Collaborative Learning

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Author : Shadi Albarqouni
language : en
Publisher: Springer Nature
Release Date : 2020-09-25

Domain Adaptation And Representation Transfer And Distributed And Collaborative Learning written by Shadi Albarqouni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020. The conference was planned to take place in Lima, Peru, but changed to an online format due to the Coronavirus pandemic. For DART 2020, 12 full papers were accepted from 18 submissions. They deal with methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical settings by making them robust and consistent across different domains. For DCL 2020, the 8 papers included in this book were accepted from a total of 12 submissions. They focus on the comparison, evaluation and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases; where information privacy is a priority; where it is necessary to deliver strong guarantees on the amount and nature of private information that may be revealed by the model as a result of training; and where it's necessary to orchestrate, manage and direct clusters of nodes participating in the same learning task.

Learning Dapr

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