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Lindsey Broos

This course will teach you how to build scalable, high-available and fault tolerant applications with Microsoft Orleans.

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This course will teach you how to build scalable, high-available and fault tolerant applications with Microsoft Orleans.

In this course, Building Distributed .NET Apps with Orleans, you’ll learn to build scalable, high-available and fault tolerant applications using Orleans. First, you’ll explore what distributed applications and Orleans is and what building blocks we need to start with Orleans. Next, you’ll discover how to use these building blocks and how they work. Finally, you’ll learn how to add more advanced features like timers, reminders, observers and streams to your application. When you’re finished with this course, you’ll have the skills and knowledge to build distributed applications using Orleans.

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What's inside

Syllabus

Course Overview
Introducing Distributed Applications and Orleans
Working with Grains
Understanding Silos and Clusters
Read more
Persisting Grain State
Using Timers and Reminders in Orleans
Using Observers in Orleans
Using Streams in Orleans
Monitoring and Testing the Application
Deploying the Application

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines distributed applications and Orleans, which is standard in industry .NET development
Teaches how to build scalable N.NET apps with Orleans, a useful skill for developers
Uses videos, readings, and interactive materials, making it multi-modal
Covers utilizing advanced features like observers and streams in .NET applications
Provides an in-depth study of building distributed .NET apps with Orleans

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Distributed .NET Apps with Orleans with these activities:
Read Microsoft Tutorial: Introduction to Orleans
Reinforce your knowledge of Orleans foundational concepts to prepare you for more advanced topics in the course.
Show steps
  • Visit the Microsoft Orleans documentation page
  • Read the 'Introduction to Orleans' tutorial
  • Complete the 'Hello Orleans' quickstart
Build a Simple Orleans Application
Reinforce basic concepts of Orleans by building a simple application.
Browse courses on Orleans
Show steps
  • Set up an Orleans development environment
  • Create a new Orleans project
  • Define an Orleans grain
  • Implement the grain's methods
  • Run the Orleans application
Build a Simple Chat Application with Orleans
Put your understanding of Orleans into practice by building a basic chat application that demonstrates core Orleans concepts.
Show steps
  • Follow the Orleans documentation tutorial on building a chat application
  • Implement the Grain interfaces and classes
  • Set up the cluster and run the application
  • Test the chat application's functionality
Show all three activities

Career center

Learners who complete Building Distributed .NET Apps with Orleans will develop knowledge and skills that may be useful to these careers:
Software Developer
Software Developers are the creative minds behind all computer software programs. They can bring new ideas and features to life by writing the code needed to create computer applications and programs. Knowledge in building distributed .NET applications can be an immensely valuable tool for Software Developers, especially those who wish to gain expertise in building scalable, high-available, and fault tolerant applications.
Computer Programmer
Computer Programmers translate the functional requirements of software into instructions that computers can follow. They are responsible for writing and testing code that will create the desired result. The skills learned in this course in building distributed .NET applications can help Computer Programmers become more adept in creating complex, sophisticated software applications.
Computer Systems Analyst
Computer Systems Analysts study an organization's current computer systems and procedures, and develop plans to improve them. They also design and implement new systems. The course on building distributed .NET applications teaches skills directly applicable to designing and building large scale, distributed systems, which will help Computer Systems Analysts gain expertise in designing fault tolerant and highly available systems.
Data Scientist
Data Scientists analyze data to uncover trends, patterns, and insights. They use their findings to help organizations make better decisions. Data Scientists need to be able to work with large datasets, which can be distributed across multiple servers. The skills learned in this course in building distributed .NET applications can help Data Scientists develop the skills needed to work with these large datasets.
Web Developer
Web Developers design and develop websites. They are responsible for the look and feel of a website, as well as its functionality. Building distributed .NET applications is an essential skill for Web Developers who want to create scalable, high-traffic websites that can handle a large number of users.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They ensure that databases are available, secure, and performant. This course in building distributed .NET applications can help Database Administrators gain the skills needed to manage large, distributed databases.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations. They are responsible for automating and streamlining the software development process. The skills learned in this course in building distributed .NET applications can help DevOps Engineers develop the skills needed to manage the deployment and operation of distributed systems.
Cloud Architect
Cloud Architects design and manage cloud computing systems. They are responsible for ensuring that cloud systems are scalable, reliable, and secure. This course in building distributed .NET applications will help Cloud Architects learn various architectures such as a silos and cluster architectures which are foundational in designing scalable systems.
Systems Engineer
Systems Engineers design, implement, and maintain complex computer systems. They are responsible for ensuring that systems are reliable, efficient, and secure. The skills learned in this course in building distributed .NET applications can help Systems Engineers develop the skills needed to design and manage large, distributed systems.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They also develop and implement security policies and procedures. This course in building distributed .NET applications can help Information Security Analysts gain a solid understanding of of how to secure a distributed system.
Software Architect
Software Architects design and develop the overall architecture of software systems. They are responsible for ensuring that systems are scalable, reliable, and maintainable. This course in building distributed .NET applications can help Software Architects learn how to design and build complex, distributed systems.
Technical Program Manager
Technical Program Managers are responsible for planning, managing, and executing software development projects. They work with stakeholders to define project requirements, develop project plans, and track project progress. The skills learned in this course in building distributed .NET applications can help Technical Program Managers gain the skills needed to manage large, complex software development projects.
Enterprise Architect
Enterprise Architects design and implement the overall architecture of enterprise IT systems. They are responsible for ensuring that systems are aligned with business goals and objectives. This course in building distributed .NET applications can help Enterprise Architects develop the skills needed to design and build large, complex, distributed systems.
Big Data Engineer
Big Data Engineers design and build systems for processing and analyzing large datasets. They work with a variety of technologies, including Hadoop, Spark, and NoSQL databases. This course in building distributed .NET applications can help Big Data Engineers gain the skills needed to build scalable, fault-tolerant systems for processing and analyzing large datasets.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with a variety of machine learning algorithms and techniques. This course in building distributed .NET applications may be especially helpful for Machine Learning Engineers who want to learn how to build and deploy machine learning models on a distributed system.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Distributed .NET Apps with Orleans.
Provides a detailed overview of distributed application architectures, including patterns and best practices for building scalable, fault-tolerant systems.
Provides comprehensive knowledge about distributed systems using Scala and Akka, which is more advanced than the course but can serve as a reference.
Provides background knowledge about domain-driven design (DDD), which is useful for understanding Orleans.
Provides a comprehensive overview of microservices patterns, including best practices for designing, building, and deploying microservices-based applications.
Provides a practical guide to designing and building event-driven architectures, including patterns and best practices for building scalable, resilient systems.
Provides a comprehensive overview of domain-driven design, including patterns and best practices for designing and building software systems that are aligned with business needs.
Provides a practical guide to software architecture, including patterns and best practices for designing and building software systems that are maintainable, extensible, and testable.
Provides a comprehensive overview of data-intensive application design, including patterns and best practices for designing and building reliable, scalable, and maintainable systems.
Provides a comprehensive overview of SOA design patterns, including best practices for designing and building service-oriented architectures.

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