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Red Hat OpenShift : Your intelligent platform for applications and virtualization
Join our Red Hat OpenShift roadmap session for an overview of its evolution into an intelligent application platform. Discover how OpenShift integrates agentic AI to streamline operations, accelerate troubleshooting, and improve efficiency for container, VM, and AI/ML workloads. We will also cover new support for post-quantum cryptography, native multi-cluster capabilities, extended lifecycles, and digital sovereignty. Learn how these built-in capabilities simplify development and management across hybrid cloud environments, positioning OpenShift as your catalyst for innovation and success in today’s digital ecosystem.
Steven Ellis, Principal Portfolio Architect, Red Hat
Nick Day, Associate Principal Solution Architect - OpenShift, Red Hat
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Better Together: Enterprise AI with ROSA and AWS
Scaling AI in the enterprise means juggling competing demands - performance, portability, cost, and control. In this session, AWS and Red Hat show how we're solving them together - purpose-built accelerators, open-source model serving, and a consistent hybrid foundation that keeps you in control of your models and your data. Join us for a conversation about what "better together" looks like in practice.
Akhil Bhaskar, Chief Architect, APAC Office of the CTO & Global Engineering, Red Hat
Andreas Spanner, Chief Architect, APAC Office of the CTO & Global Engineering, Red Hat
Paul Foster, Principal Specialist Solution Architect, Cloud Services, Red Hat
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Powering the future: The next-generation IT Automation platform
Do you have automation in place but wonder how to add AI? You do not need to start over; instead, you can build on what you already have. In this session, we show you how to combine different types of automation—including AI-driven tasks—to solve your work challenges. You will learn how to mix task-driven, event-driven, and AI-driven automation; how Red Hat Ansible Automation Platform acts as the main tool to make these methods work together effectively; and why your current safety rules are even more important when using AI. We will walk through a real-world example so you can see how it works. If you want to use AI without disrupting your stable infrastructure, this session is for you.
Stu Bernstein, Solution Architect - Automation, Red Hat
David Ripani, Senior Solution Architect, Red Hat
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The data foundation for modern infrastructure: VMs, containers, and AI on Red Hat with Everpure
Enterprises are being asked to modernise virtualisation, run modern applications, and stand up AI, often all at once and often on separate stacks. How do you do all three without trading one lock-in for another? Everpure (formerly Pure Storage) and Red Hat make it one decision, not three: a single platform on Red Hat OpenShift, with a shared data foundation beneath it all. In this session, we'll discuss how Everpure and Portworx deliver reliable performance, protection, mobility, and resilience across every VM, containerised application, and AI workload on OpenShift, whether at the Edge, in the Data Centre, or in the cloud.
Andy Gower, Director, Product & Solutions Marketing, Everpure
Steven Ellis, Principal Portfolio Architect, Red Hat
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Afternoon tea in solution showcase
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Navigating the AI and quantum frontier with Red Hat Enterprise Linux
Red Hat is re-imagining the open source development model to shape the next version of RHEL, making its roadmap more accessible through transparent, iterative collaboration with the community and customers. Additionally, we’ll demonstrate how new Model Context Protocol (MCP) capabilities in Red Hat Satellite transform manual patching workflows into proactive, AI-assisted operations. By automating vulnerability response, prioritisation, and remediation, teams can enhance operational efficiency, security, and reliability across dynamic hybrid cloud environments.
Benjamin Blasco, Associate Principal Solution Architect - RHEL, Red Hat
Joel Wirāmu Pauling, Senior Specialist Solution Architect - RHEL, Red Hat
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Taking your workload on a walk across hyperscalers
Everyone is talking about their virtualisation strategy and what their future platform should look like. Today, we took that conversation from PowerPoint to reality. During this session, we demonstrate how the combination of OpenShift and Software Defined Storage (IBM Fusion, Portworx, NetApp, etc.) can be truly game-changing.
In the session we cover: Migration of a two-tier application from VMware to OpenShift on-premises; Migration of the workload from OpenShift on-premises to OpenShift on Azure (ARO); Migration of the same application to Red Hat OpenShift on AWS (ROSA); Continued the journey to OpenShift on Google Cloud Platform (GCP);
Finally bringing the workload back to on-premises bare-metal infrastructure. When you have a common operating model and abstraction layer for compute, network and storage, moving workloads becomes dramatically simpler, operational complexity is reduced, and teams can focus on delivering value.
Paul Foster, Principal Specialist Solution Architect, Cloud Services, Red Hat
Saanvi Bajaj, Solution Architect - OpenShift, Red Hat
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Navigating the challenges of sovereign AI: From principles to deployment patterns
As organisations transition AI from experiments to foundational applications, they face complex mandates. True sovereign AI requires more than data localisation; it demands a comprehensive strategy across data, operations, assurance, and technology. Many leaders mistakenly believe this necessitates fully isolated, on-premise deployments, which can hinder scalability and create fragmentation.
This session demonstrates how to translate these constraints into scalable architectures using a pattern-based approach. We will explore deployment models, such as the Sovereign Cloud Pattern, to help balance regulatory requirements with AI innovation. Attendees will learn to establish a layered platform architecture for a closed-loop AI lifecycle, ensuring models and data remain within legal boundaries while providing the verifiable audit trails required for trust. Join us to discover how to leverage open hybrid foundations to deploy policy-driven, auditable sovereign AI at scale.
Simon Fennen, Solution Architect for GSI Partners, Red Hat
Sudesh K Krishnamoorthy, Solution Architect, IBM
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From zero CVE to zero trust
The "Mythos moment" has arrived, and frontier AI is now capable of autonomously discovering, chaining, and exploiting vulnerabilities at machine speed. How do you defend your infrastructure, when the time to exploit vulnerabilities is now measured in hours, not on weeks?
In this session we'll explore how Red Hat takes a "Defence in Depth" approach across our products. We'll explore new capabilities like Red Hat Hardened Images, the Zero Trust Workload Identity Operator, and even using AI to better secure AI.
Join this session to learn how you can better use the "batteries included" security capabilities with your Red Hat subscriptions.
Shane Boulden, Principal Specialist Solution Architect, Red Hat
Saanvi Bajaj, Solution Architect - OpenShift, Red Hat
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Turning AI ambition into AI reality: How Red Hat AI Enterprise delivers production-ready AI with confidence, control, and cost efficiency
Join Red Hat as we tackle why most AI initiatives stall, not because the models don't work, but because organisations can't operationalise them. We'll identify the four barriers to real AI value: spiralling economics, safety and trust gaps, inconsistent quality, and the struggle to reach production. Underlying all four is one root cause: embedding non-deterministic models into business processes that demand predictability. We'll unpack the six controls that resolve this tension and turn ambition into reliable, governed AI systems, and introduce GenAIOps: the discipline, practices, and platform capabilities that make those controls real at enterprise scale. Walk away with a clear framework for assessing where your own AI initiatives stand and what's needed to get them to production with confidence.
Bryon Baker, Associate Principal Solution Architect - AI, Red Hat
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How to do a migration without doing a migration
Learn how the NetApp Shift Toolkit can help you move away from VMware to Red Hat OpenShift without doing a data migration.
John Bermingham, Solutions Engineering Manager, ANZ South, NetApp
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Become your organisation’s AI provider: Private Model-as-a-Service with Red Hat AI
AI adoption often leads to siloed models, fragmented infrastructure, and governance challenges. This session explores how Red Hat AI enables organisations to become their own Private Model-as-a-Service provider, delivering secure, governed AI models through self-service APIs. Learn how to centralise model serving, optimise GPU utilisation, enforce governance, and provide a scalable AI platform across hybrid cloud environments, empowering developers to consume AI without managing the underlying infrastructure.
Mandi Buswell, Principal Specialist Solution Architect, Red Hat
Jason Stringer, OpenShift Sales Specialist, Red Hat
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Day 2 and beyond: Running OpenShift with confidence at enterprise scale
Your migration plan got you to Red Hat OpenShift. So, what’s your plan for Day 2?
Enterprises rarely fail the migration itself. They struggle a year in, when clusters have multiplied, backup policy ownership has blurred across teams, and VM, container, and now OpenShift AI workloads all need protection without three different tools and an overworked admin.This session is for the platform and infrastructure teams living in that gap. Veeam Kasten walks through how leading enterprises keep pace: automated policy enrolment that holds as the fleet grows, unified recovery across containers and VMs from a single control plane, and governance that endures an audit instead of dodging one. If your team is heading toward Day 2 (or already living it), this is the session that names what actually breaks, and how to fix it before it does. Jamie Richardson, Senior Sales Systems Engineer Cloud Native Solutions, Veeam |
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Afternoon tea in solution showcase
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Implementing a trusted agentic software factory
Join us as we explore how AI agents are reshaping software development and why the security foundations built for human-speed development can't keep pace with machine-speed risk. Regulators are raising the bar for secure software supply chains and AI governance as autonomous coding agents move from novelty to mainstream practice, creating both opportunity and risk at speed. We'll introduce the Trusted Software Factory: an SLSA Level 3-aligned architecture that embeds security, policy enforcement, and traceability directly into the build pipeline, built on Red Hat OpenShift Platform Plus and the Red Hat Advanced Developer Suite. We'll then look ahead to the agentic SDLC spectrum, from simple copilots to autonomous, self-directed development agents, and to what it takes to safely operationalise agentic coding at enterprise scale. Walk away with a practical model for securing software as development itself becomes agentic.
James Labocki, Senior Director Product Management, Developer and Application Services, Red Hat
Ramy El Essawy, Principal Specialist Solution Architect, Application Platform, Red Hat
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Working with the right partner to maximise your Red Hat ROI
Choosing Red Hat is a decision most enterprises get right. Getting the full return is a programme of work. Adam Mutton and Steve Wilson walk through a global wine company’s VMware-to-OpenShift migration that reached positive ROI in year one, then what comes next: patching an open source estate when upgrading isn’t an option, with Lightwell; automation at scale with Ansible Automation Platform and Ansible Lightspeed; and an AI foundation that keeps token costs and IP under control. Hosted by Jenna Braunstein - a services-side view of extracting value from what you have already bought.
Steve Wilson, Strategic Delivery Partner, Kestrel Eight
Adam Mutton, Executive Director and Founder, Kestrel Eight
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Operationalising the full AI stack with Red Hat AI: From bare metal to agentic AI
Agentic AI is reshaping enterprise application development, but realising its value requires more than deploying models. It requires an operational AI platform spanning infrastructure, inference, model serving, evaluation, governance, and lifecycle management. This session explores how Red Hat AI operationalises the full AI stack, from Model-as-a-Service, AgentOps, AI safety and evaluation for production workloads. Attendees will learn how Red Hat AI provides a secure, scalable, and open foundation for building, deploying, evaluating, and governing AI applications across hybrid cloud environments. The presentation also examines emerging trends including open weight models, token economics, AI governance, and the evolution toward agentic AI. Through architectural guidance and real-world examples, participants will gain practical strategies for operationalising enterprise AI with continuous evaluation, observability, security, and governance while maintaining flexibility, compliance, and control.
Bryon Baker, Associate Principal Solution Architect - AI, Red Hat
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Unlock AI-driven automation: From AIOps insights to trusted action
Your observability and AI platforms are generating insights faster than teams can act on them. Yet insights alone do not resolve incidents. Every manual handoff between detection and remediation adds delay, inconsistency, and operational risk.
In this session, we will explore the missing layer in many AIOps strategies: a trusted, governed execution framework that transforms insights into action while preserving the auditability, change control, and compliance enterprise operations demand.
Using Red Hat Ansible Automation Platform, we will show how organisations are closing the loop between insights and action through automated remediation, self-healing workflows, and intelligent orchestration, while establishing the governance and execution foundation required for agentic AI.
Tertius Bouwer, Automation Specialist, Red Hat
Mina George, Associate Principal Specialist Solutions Architect - Automation, Red Hat
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