Book Image

Distributed .NET with Microsoft Orleans

By : Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani
Book Image

Distributed .NET with Microsoft Orleans

By: Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani

Overview of this book

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.
Table of Contents (17 chapters)
1
Section 1 - Distributed Applications Architecture
4
Section 2 - Working with Microsoft Orleans
10
Section 3 - Building Patterns in Orleans
13
Section 4 - Hosting and Deploying Orleans Applications to Azure

Summary

In this chapter, we introduced some of the engineering fundamentals of Orleans. We learned about the Orleans dashboard, its features, and the APIs available, which can be used to understand what is happening in your application. Using Microsoft.Orleans.TestingHost, we saw how our Distel application can be unit tested to identify issues upfront before shipping the code for E2E testing and production. We also learned how to enable real-time telemetry, using which you will be able to derive data-driven insights and conduct monitoring to detect anomalies and raise alerts.

In the next chapter, we'll learn about advanced concepts in Orleans such as streaming, heterogeneous silos, and grain interface versioning.