Laat je inspireren door andere .NET professionals . De focus van dit event maken we binnenkort bekend.

Gratis toegang én eten wordt verzorgd.

Agenda:

16:30 Inloop

17:00 - 17:45 Keynote spreker

17:45 - 18:45 Eten

18:45 - 19:30 Eduard Keilholz - Getting real-time insights from your serverless solution

19:30 - 19:45 Pauze

19:45 - 20:30 Erwin Staal - Driven autoscaling on Kubernetes with KEDA and Azure Functions

20:30 - 21:30 Borrel

Talks:

Eduard Keilholz | Getting real-time insights from your serverless solution

The SignalR real-time framework has been there for ages, but how do you connect to services as volatile like Azure Functions?

In my session, I will show you how to create a SignalR service, send messages to the SignalR service and handle events on a connected SPA application.

Erwin Staal Event | Driven autoscaling on Kubernetes with KEDA and Azure Functions

Event-driven, serverless architectures are a hot topic in today’s cloud-native application development. To take full advantage of the serverless benefits of event driven, your application needs to scale and react to those events instantly. It needs to be able to scale from zero to potentially thousands of instances. KEDA is an open sourced component that provides event driven autoscaling for your Kubernetes workloads.

KEDA works with any container, but to enable additional serverless capabilities within Kubernetes you can pair KEDA with the Azure Functions runtime. Azure Functions provides a programming model that can run anywhere: in a container running on-premises, fully managed in Azure, or in any Kubernetes cluster.

It allows application developers not to worry anymore about writing the code to connect, trigger, and pull from an event source like RabbitMQ, Kafka, or Azure Event Hubs. That’s all handled for you.

In this demo-filled session, we will start with a quick introduction on both Kubernetes and Azure Functions. You will then see how you can create your first cluster and install KEDA, deploy a function and scale that to thousands of instances based on events.