Christophe Gigax
À propos de Christophe
Passionate about computers for several years now, I decided to do more than just a hobby: my job. After a 5-year course at the Exia.cesi in Strasbourg allowing me to access a diploma in Information Systems Manager, I am now a Cloud Solution Architect within Hager Group, industrial specialist in electrical protection for individuals and homes.
This privileged framework allows me to apply my knowledge of analysis, design and development in Microsoft technologies for which I have a great preference. The web and mobility are topics that I particularly like (ASP.NET, AngularJS, Azure, Web API, Universal Windows App, Windows Phone ...), but I also strive to stay in touch with new technologies (IoT , Xamarin, Cordova, virtual reality / augmented ...) and constantly upgrade myself regarding the latest development techniques.
Optimize your event-driven architectures with Drasi
Event-driven architectures have become a staple of modern microservices, but they often remain surprisingly static—hardcoded triggers, rigid flows, and limited adaptability. Enter Drasi, a cloud-native workflow engine that embraces change as a first-class citizen. In this talk, we’ll explore how Drasi reimagines orchestration by shifting from traditional event-driven models to reactive, state-aware workflows. Built for Kubernetes and designed with microservices in mind, Drasi enables systems to respond dynamically to real-world changes—whether it’s a new deployment, a failed job, or a shifting business rule. We’ll cover: - The limitations of static event-driven systems in cloud-native environments - How Drasi models workflows as state machines that evolve with your system - Native integrations with Kubernetes, Dapr, and KEDA - Real-world use cases where Drasi simplifies complexity and boosts resilience Whether you're building distributed systems, managing microservices, or just tired of brittle pipelines, this session will show you how Drasi brings orchestration to life—reactive, observable, and ready for change.