Главная
Study mode:
on
1
Intro
2
High Expectations for Backend Developers
3
Enterprise CRUD App
4
Scenario 1: Surge in User Activity
5
Obvious Solution: Sharding
6
Brittle
7
Scenario 2: Real-time User Interactivity
8
Obvious Solution: Read-after- Write
9
Why is Distributed Programming Hard?
10
Distributed Systems 101
11
Enter the Actor Model
12
Origins
13
Actor Model Core Concepts
14
Akka.NET Modules
15
What's an Actor?
16
Actors live in a family tree
17
Actors process one message at a time
18
Actors share threads!
19
Properties of Messages
20
Messaging Patterns
21
Messaging Protocols
22
Communicate with Actors via Reference
23
Actor References Have Transparent Locations
24
Stateful Apps Serve Results from Memory
25
State Makes Protocols Work
26
CAP Theorem
27
CAP Terminologies
28
CAP & Protocols
Description:
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

NDC Conferences
Add to list
0:00 / 0:00