Explore the future of distributed programming in .NET with this comprehensive conference talk. Learn the fundamentals of Akka.NET and discover how to leverage the actor model, location transparency, and clustering to build powerful, highly available systems without excessive boilerplate code. Delve into the challenges faced by modern developers, including the demand for faster, higher-volume applications with minimal downtime. Examine real-world scenarios such as handling user activity surges and implementing real-time interactivity. Gain insights into distributed systems concepts, the origins and core concepts of the actor model, and the various modules of Akka.NET. Understand actor properties, messaging patterns, protocols, and the importance of stateful applications. Explore the CAP theorem and its implications for distributed systems. By the end of this talk, acquire the knowledge to revolutionize your approach to .NET development and create robust, scalable applications.
Akka.NET - The Future of Distributed Programming in .NET
Overview
Syllabus
Intro
High Expectations for Backend Developers
Enterprise CRUD App
Scenario 1: Surge in User Activity
Obvious Solution: Sharding
Brittle
Scenario 2: Real-time User Interactivity
Obvious Solution: Read-after- Write
Why is Distributed Programming Hard?
Distributed Systems 101
Enter the Actor Model
Origins
Actor Model Core Concepts
Akka.NET Modules
What's an Actor?
Actors live in a family tree
Actors process one message at a time
Actors share threads!
Properties of Messages
Messaging Patterns
Messaging Protocols
Communicate with Actors via Reference
Actor References Have Transparent Locations
Stateful Apps Serve Results from Memory
State Makes Protocols Work
CAP Theorem
CAP Terminologies
CAP & Protocols
Taught by
NDC Conferences
