Distributed NET with Microsoft

Adopt an effortless approach to avoid the hassles of complex concurrency and scaling patterns when building distributed applications in .NET

Key Features

• Explore the Orleans cross-platform framework for building robust, scalable, and distributed applications
• Handle concurrency, fault tolerance, and resource management without complex programming patterns
• Work with essential components such as grains and silos to write scalable programs with ease

Book Description

Building distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.

Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.

By the end of this book, you'll have developed the confidence and skills required to build distributed applications using Microsoft Orleans and deploy them in Microsoft Azure.

What you will learn

• Get to grips with the different cloud architecture patterns that can be leveraged for building distributed applications
• Manage state and build a custom storage provider
• Explore Orleans key design patterns and understand when to reuse them
• Work with different classes that are created by code generators in the Orleans framework
• Write unit tests for Orleans grains and silos and create mocks for different parts of the system
• Overcome traditional challenges of latency and scalability while building distributed applications

Who this book is for

This book is for .NET developers and software architects looking for a simplified guide for creating distributed applications, without worrying about complex programming patterns. Intermediate web developers who want to build highly scalable distributed applications will also find this book useful. A basic understanding of .NET Classic or .NET Core with C# and Azure will be helpful.

Table of Contents

1. An Introduction to Distributed Applications
2. Cloud Architecture and Patterns for Distributed Applications
3. Introduction to Microsoft Orleans
4. Understanding Grains and Silos
5. Persistence in Grains
6. Scheduling and Notifying in Orleans
7. Engineering Fundamentals in Orleans
8. Advanced Concepts in Orleans
9. Design Patterns in Orleans
10. Deploying an Orleans Application in Azure Kubernetes
11. Deploying an Orleans Application to Azure App Service

Bhupesh Guptha Muthiyalu is a Microsoft Certified Professional and works at the company as a principal software engineering manager. He has 17+ years of software development experience on the .NET technology stack. His current role involves designing systems that are resilient to the iterations and changes required by the needs of enterprise businesses, validating architectural innovations, delivering solutions with high quality, managing the end-to-end ownership of products, and building diverse teams with capabilities to fulfill customer objectives. He is passionate about creating reusable components and identifying opportunities to make a product better.

Suneel Kumar Kunani is a passionate developer who strives to learn something new every day. With over 17 years of experience in .NET and Microsoft technologies, he works on architecting and building mission-critical, highly scalable, and secure solutions at Microsoft. He loves to teach and preach the best practices in building distributed cloud solutions.