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Distributed .NET with Microsoft Orleans

You're reading from   Distributed .NET with Microsoft Orleans Build robust and highly scalable distributed applications without worrying about complex programming patterns

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801818971
Length 262 pages
Edition 1st Edition
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Authors (2):
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Bhupesh Guptha Muthiyalu Bhupesh Guptha Muthiyalu
Author Profile Icon Bhupesh Guptha Muthiyalu
Bhupesh Guptha Muthiyalu
Suneel Kumar Kunani Suneel Kumar Kunani
Author Profile Icon Suneel Kumar Kunani
Suneel Kumar Kunani
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Table of Contents (17) Chapters Close

Preface 1. Section 1 - Distributed Applications Architecture
2. Chapter 1: An Introduction to Distributed Applications FREE CHAPTER 3. Chapter 2: Cloud Architecture and Patterns for Distributed Applications 4. Section 2 - Working with Microsoft Orleans
5. Chapter 3: Introduction to Microsoft Orleans 6. Chapter 4: Understanding Grains and Silos 7. Chapter 5: Persistence in Grains 8. Chapter 6: Scheduling and Notifying in Orleans 9. Chapter 7: Engineering Fundamentals in Orleans 10. Section 3 - Building Patterns in Orleans
11. Chapter 8: Advanced Concepts in Orleans 12. Chapter 9: Design Patterns in Orleans 13. Section 4 - Hosting and Deploying Orleans Applications to Azure
14. Chapter 10: Deploying an Orleans Application in Azure Kubernetes 15. Chapter 11: Deploying an Orleans Application to Azure App Service 16. Other Books You May Enjoy

When to choose Orleans

It is important to understand when not to choose a specific technology or framework. In this section, let's learn about when to choose and when not to choose Orleans.

Orleans is a great framework to build distributed applications. But if you have a single grain that takes 50% of all the requests, it is going to be a challenge to scale the system. If you have a request that needs to communicate with 50 other grains to serve the response, it is going to add latency and will have an impact on throughput. In both the scenarios mentioned above, the main problem is granularity. In all the Microsoft systems mentioned in the previous section that use Microsoft Orleans, the state is naturally partitionable and it nicely maps grains. It can be more easily distributed across a cluster of machines.

To summarize, think of the granularity while working with Orleans. Orleans may not be the best choice when data is shared across grains, when there's a small...

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