2024-06-13 –, D105 (capacity 300)
In today’s landscape there are an increasing number of scenarios (smart city, traffic management, self-driving car, manufacturing, healthcare, etc…) where the need of delivering and updating applications on edge devices is more frequent than ever. This requires a great level of automation and agility without leaving behind the security.
In this context, the lead time from the inception of a business idea to having it live in production on edge devices can be very high with an increased customer’s dissatisfaction. There are a lot of unnecessary frictions and (re)works caused by the need of different platforms, technologies and skills.
What can be obtained if we adopt the abstraction capabilities introduced by Kubernetes deployed on a heterogeneous environment (on prem, on cloud, at the edge) in this context?
In this session we will see the values and benefits of adopting an unified platform based on Open Source technologies that allow us to build and deliver faster applications over edge devices.
In particular we will see:
* How to build an application with a secure software supply chain in the cloud
* Deploy the built containerized applications in a secure way on an edge device running a single node kubernetes cluster
* Demonstrate how the process is simplified and accelerated from inception to deployment in production on edge devices
Enthusiast of Application architecture and delivery, Cloud, DevOps and Kubernetes/OpenShift. Currently I am working as a Senior Cloud Services Black Belt at Red Hat, focused in OpenShift Cloud Services, DevSecOps, CI/CD and Service Mesh, helping the customers to achieve their goals and objectives with cloud and containers in public and private environments. In my free time, I like to spend time with my family and when I can I like swimming, skiing and cycling.
Technology enthusiast with experience in many fields of the IT landscape and passionate about Integration, Unix environments, mobile, embedded, web platforms, blockchain, Linux Containers, Kubernetes and distributed computing.
Always interested in discovery new technologies and new challenges.