Once upon a time, software was simple. You built a website, connected it to a database, and you were done. Then customers started asking for APIs, mobile apps, notification emails, realtime chat… Today, cloud hosting lets us build “elastic” systems – websites that automatically scale up to handle demand; message queues and publish/subscribe patterns to handle spikes in traffic and workload without impacting your end users.

If you’re just starting out with distributed systems design, the possibilities can be overwhelming. APIs, message queueing, REST, GraphQL, gRPC… what should you choose, how does it work, how do you get started?

This workshop gives you a hands-on introduction to the most important messaging patterns used in modern application development. Using C# and .NET, we’ll build a series of small example apps and services, wire them together using these patterns, and discuss how – and when – you’d apply the same patterns in your own applications.

HTTP architectural patterns – XMLRPC, REST, GraphQL

HTTP frameworks: WebAPI, NancyFX, ServiceStack

Working with HTTP APIs: testing and tooling

Exercise: building an HTTP API client and server

Message queueing in .NET – Redis, MSMQ, EasyNetQ

Advanced architectural patterns: CQRS, event sourcing

Exercise: building a pub/sub system using .NET

History of RPC on .NET – SOAP, DISCO, WSDL, WCF

Exercise: high-performance architecture using gRPC

Integrating browsers with distributed systems

Exercise: real-time browser notifications using SignalR

This workshop is aimed at developers with some experience writing applications using C# and Microsoft .NET.

Attendees will be writing and running .NET code during the workshop, so will need a computer running Windows, macOS or Linux, and ideally install the Microsoft .NET SDK from https://dotnet.microsoft.com/download.

Exercises can be done in .NET Framework 4.6+ or .NET Core 2.0+

2 Days

Introduction to Distributed Systems with C# and .NET

.NET

Architecture

The problem is, leveraging ML with IoT has historically meant backhauling all your sensor data to the Cloud. When the cloud is involved, security is a concern, and in the realm of IoT, security is often a dirty word.

In this workshop, you’ll learn how to leverage the power of Machine Learning on Edge Devices and build secure, cloud-independent IoT applications.

Section 1: The Basics of Machine Learning

Session 2: ML models for Complex Data: CNNs and LSTMs

Lab 2: Building a CNN for Image Recognition

Session 1: Introducing the Blues Wireless Ecosystem

Session 2: Working with Sensors and Actuators to collect data

Session 2: ML at the Edge with Single Board Computers (SBCs)

Lab 2: Building ML Models for Edge Inferencing

Session 3: ML at the Edge with Microcontrollers (MCUs)

Lab 4: Building ML Models for Microcontrollers



Section 4: The future of ML and the IoT

Session 4: What's next for ML on the Edge?

Lab 1: Hacking Challenge and Free Exploration

NDC { Copenhagen }

Workshops

09:00 - 17:00

Introduction to Distributed Systems with C# and .NET

Dylan Beattie

Machine Learning from the Cloud to the IoT

Brandon Satrom