Richard Astbury - Microsoft Orleans for Developers: Build Cloud-Native, High-Scale, Distributed Systems in .NET Using Orleans
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- Book:Microsoft Orleans for Developers: Build Cloud-Native, High-Scale, Distributed Systems in .NET Using Orleans
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Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework.
Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place.
Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic.
What You Will Learn
- Know the key concepts for building distributed systems
- Gain a background in the origin and evolution of Orleans, and why it is important for your projects
- Dive into each of the features available in Orleans by building an example application
- Develop troubleshooting skills for fixing bugs and running diagnostics
- Achieve performance optimization and advanced configuration
- Use the Orleans Dashboard to discern valuable insight in system performance
Who This Book Is For
Experienced C# developers who want to build a new high-scale application (perhaps for an IoT requirement) and are interested in learning the concepts and features available in Orleans
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The Apress logo.
This Apress imprint is published by the registered company APress Media, LLC, part of Springer Nature.
The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.
This book is dedicated to all those who have contributed to the Orleans community.
Welcome!
This book aims to help the experienced dotnet developer understand what Orleans is, what problems it solves, and how to get started with an Orleans project. No prior knowledge of distributed systems is required, but it is useful to have a good grasp of C#, ASP.NET Core, and unit testing.
The first two chapters provide a brief history and backstory, helping you understand where Orleans began and the core concepts, namely, Grains and Silos.
The main body of the book starts with a Hello World example and then explores several of the features of Orleans by building more functionality into this application. This helps us to understand the functionality of Orleans by taking practical steps and building something thats a, sort of, real system.
I have included a couple of chapters on more advanced features, including optimizations. I dont attempt to add all of these to the sample application, and instead explain how theyre used and the problems they solve.
Software is built by people, and it was important to me to include some interviews in this book from people who are/were in the core team as well as the community. I hope you enjoy reading their perspectives.
Orleans is a great fit for some really interesting challenges, particularly around high-scale, real-time systems, but it doesnt fit every problem. Part of being an experienced developer is knowing the best tool to use for a given problem. My hope is that this book will help you develop your intuition, so when you have finished reading (however far you get!), youll know an Orleans-shaped problem when you see one.
Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub.
works at Microsoft UK, helping software teams build software systems to run in the cloud. Richard is a former Microsoft MVP for Windows Azure. He is often found developing open source software in C# and Node.js, navigating the river on his paddle board, and riding his bike. He lives in rural Suffolk, UK, with his wife, three children, and golden retriever.
is one of the creators of Orleans and a long-time lead of the project since its inception within Microsoft Research. During his nearly 20 years at Microsoft, he has worked on servers, embedded systems, online and gaming services. His passion has always been about providing tools and frameworks for software engineers, to help them build better, faster, more reliable and scalable systems and applications with less effort. He continues to follow that passion, now at Temporal Technologies.
You can read Sergeys blog at https://dev.to/sergeybykov and follow him on Twitter @sergeybykov.
Microsoft Orleans is a free, open source framework built on Microsoft .NET, which provides the developer with a simple programming model enabling them to build software which can scale from a single machine to hundreds of servers.
You can think of Orleans as a distributed runtime, which runs software across a cluster of servers, treating them as a single address space. This allows the developer to build software which keeps lots of data in memory, by spreading objects across the clusters shared memory space. This enables low-latency systems, where requests can be processed using data held in memory without deferring to a database. This allows the system to deal with a high volume of traffic.
Orleans is designed to support cloud-native applications, with elasticity and fault tolerance.
Orleans is a batteries included framework, which ships with many of the features required for distributed systems built in.
When I first started serious programming in the early 1990s, it was just me, my PC, and Turbo Pascal 7. The terrible software I wrote just ran on a single machine, an IBM PS/2 8086, which had a single CPU core and no network.
Fast-forward to the present day and the progress made in computer hardware is astonishing. Computers now have multiple cores, with 440 being the current state of the art. Cloud computing provides us with near instant rental to computers with per-minute billing, almost limitless horizontal scalability, and accessible to anyone via a ubiquitous global network the Internet.
While programming languages have also evolved, most mainstream languages are still generally focused on running a sequence of instructions on a single computer. Some languages runtimes dont even have support for multithreading and distributing work across multiple cores.
In order to satisfy the requirements of real-time web applications and IoT gateways, developers are required to build systems that can deal with high volumes of traffic, handle hardware failure, and do this with elasticity to optimize for cost. We need to make efficient use of the hardware, which means running code efficiently on multicore computers, horizontally scaled in the cloud.
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