Cloud Native Computing Meetup - Kubernetes-based Event Driven Autoscaling (KEDA)

Cloud Native Vienna

Nov 5, 2019, 3:00 – 5:00 PM (UTC)

In-person event

About this event

Hi Everyone,

Let's meet on

November 5, 16:00 UTC+1 at
Open Innovation Lab - Wien Hauptbahnhof

and discuss Kubernetes-based Event Driven Autoscaling (KEDA).

When it comes to serverless frameworks on top of Kubernetes, that there is choice might even be an understatement. So where does KEDA fit in with its event driven autoscaling of workloads?

Unsurprisingly, KEDA does integrate with varying event sources and scalers to activate and deactivate a deployment to scale to and from zero on no events. Looking at the list of event sources might make it look strange that this project originated with Microsoft, however, there is one interesting specialization aside from its generic posture (being able to be used with any container or deployment): its native integration with Azure Functions, which is an open-source serverless programming model from Microsoft.

Given that KEDA runs both in the cloud and on the edge (aka on-premises), and it having no external dependencies makes it inherently interesting for hybrid scenarios. Add Azure Functions native integration to that picture, you can employ it to extend your serverless deployments from utilizing PaaS in the cloud to your own clusters - with no code changes.

Presenter: Christoph Wille

Christoph is an independent consultant, supporting companies in developing everything Azure, Windows and Web (he was a Microsoft Most Valuable Professional for fifteen+ years). Aside from working on his own projects at https://github.com/christophwille, he is also involved in other open source projects, such as the .NET decompiler ILSpy https://github.com/icsharpcode/ILSpy . You can reach him via https://twitter.com/WilleChristoph/

A big thank you to ÖBB for supporting this event!

Happy to see you,
Malte

When

When

Tuesday, November 5, 2019
3:00 PM – 5:00 PM (UTC)

Organizer

  • Malte Fiala

    Cloud Native Computing Vienna

    Enterprise Architect

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