Ignacio Riesgo, Red Hat, Senior Director, Developer Marketing & Strategy Cedric Clyburn, Red Hat, Developer Advocate
An open source environment enables microservices, containers, Kubernetes and AI to be deployed to optimize agility and speed at scale. The challenge can be staying ahead of the technology curve and positioning your enterprise for continued success. At Red Hat, hybrid cloud is the foundation of everything we do, leveraging open source in a multi-cloud environment to kickstart innovation. The advent of Generative AI has acted as an accelerant to business transformation increasing efficiency and productivity. Join the Developer Advocates team who will share a series of live demo innovations available today with OpenShift AI, OpenShift and Developer Hub that will accelerate development cycles and optimize your releasing performance.
Senior Director, Developer Marketing & Strategy, Red Hat
Ignacio Riesgo is Senior Director, Developer Marketing & Strategy, Global, for Red Hat. In his role, he leads all Developer Outreach Programs, Content and Advocacy initiatives.
Cedric Clyburn (@cedricclyburn), Developer Advocate at Red Hat, is an enthusiastic software technologist with a background in Kubernetes, DevOps, and container tools. He has experience speaking at conferences and events including DevNexus, WeAreDevelopers, DevConf, and more. Cedric... Read More →
Generative AI is revolutionizing how we build modern applications, but for developers, it can be daunting, particularly with evaluating models, building with Gen AI, and the path to production. But, it doesn’t have to be worrisome! Join us in this session to be ahead of the curve when it comes to AI-enabled cloud-native application development.
Using container technology and open source models from Hugging Face, we’ll show how to practically integrate Gen AI in an existing application from your local development environment and ultimately deploy it onto Kubernetes. Why work with local and open-source models? From reducing cloud computing costs, keeping control of your sensitive data, and alleviating vendor-locking, it’s an increasingly popular way for developers to prototype AI applications quickly. We’ll demonstrate a sample of the whole AI journey, starting from assessing models, building applications with LLMs, and deploying/serving AI applications.
Cedric Clyburn (@cedricclyburn), Developer Advocate at Red Hat, is an enthusiastic software technologist with a background in Kubernetes, DevOps, and container tools. He has experience speaking at conferences and events including DevNexus, WeAreDevelopers, DevConf, and more. Cedric... Read More →
Congrats, your org is all-in on microservices! But now you have hundreds (or thousands!) of APIs. Some power your customer-facing apps. Others are platform services that your front-end services consume. Still others are back-end services used by internal tools.
And ALL of them need to be authorized.
Not to mention, you need to be able to answer questions like “which users are authorized to invoke this endpoint?” and “which endpoints can this user invoke?”
Having each API “do its own thing” makes it all but impossible to wrangle this complexity. You need a cross-cutting solution to apply authorization rules consistently - either in the API code or at the API Gateway.
Enter Aserto: an open source cloud-native authorization service that does this, and more.
This talk provides hands-on learning for how to go from an OpenAPI spec to a fine-grained authorization model, ready to authorize your users, in just a few minutes.
Omri is the co-founder/CEO of Aserto.com, an authorization startup, and his 3rd entrepreneurial venture. He spent the majority of his 30-year career working on developer & infrastructure tech, most recently as the CPO of Puppet. Previously he was the VP & GM of HP's Cloud Native Platform... Read More →
Kubernetes works great for stateless applications, but stateful workloads like databases or long-running jobs pose a challenge. These applications rely on persistent data and can’t afford interruptions, making Kubernetes’ “ephemeral” approach risky. Downtime can lead to data loss, inconsistencies, and system failures.
That’s where live migration comes in, allowing stateful workloads to move between nodes without disruption. At Cast AI, we’ve developed Container Live Migration to automatically consolidate these workloads, ensuring continuous uptime, reducing resource fragmentation, and cutting costs. Join us to see how we’re making Kubernetes work for stateful applications in a practical demo.
