Red Hat Summit: Connect 2025 Austin, TX

Get started with RHEL 10 today! After a short briefing on RHEL 10 updates, you will get hands-on with several of the core new RHEL 10 features like: Building and managing image mode built images Working with the command-line assistant, an on-system AI driven assistant to help you manage your systems Implementing security standards with RHEL system roles, powered by Ansible. Of course, with RHEL 10 machines at your disposal, you can also explore the latest RHEL distribution with the topics interested to you as well!

Organizations are increasingly turning to AI for transformative business insights and task automation. This session offers a practical introduction to LLM-as-a-Service (LLMaaS), showing you how to build and manage custom Large Language Models (LLMs) to meet specific enterprise needs. These LLMs can be served for business insights as well as linked to other AI agents to perceive the world around them and complete tasks. We'll cover deploying LLMs securely within your private cloud, ensuring data security, scalability, and compliance. You'll get a clear overview of integrated services, access controls, and usage metrics for chargeback. We'll also explore practical, high-impact use cases like AI-powered code assistants for developers and agentic AI applications, demonstrating the immediate business value LLMaaS can deliver.

Join Red Hat for our Mission-Critical Automation Workshop, a dynamic hands-on experience designed to introduce participants to Ansible Automation Platform and to immerse you in the journey of a new automator joining a team, progressing from using automation for information gathering to maturing their automation journey and building responsive automation that prevents and mitigates outages, minimizes downtime, and ensures mission-critical workloads remain operational.

Ansible and Terraform are the de facto standards for IT automation and infrastructure as code for a reason. And for modern enterprises, managing the full infrastructure lifecycle—from day 0 provisioning to day 1 configuration and complex day 2 operations—requires a unified strategy, not siloed tools. This session provides a blueprint for end-to-end orchestration. We’ll show you how to combine Terraform's Infrastructure as Code (IaC) strengths for day 0 builds with Red Hat Ansible Automation Platform's power to configure, manage, and orchestrate the rest of the application and service lifecycle. Join us to learn how to: orchestrate a unified workflow, seamlessly calling Terraform Enterprise to provision directly from within Ansible Automation Platform; and accelerate time-to-value using the Ansible Certified Content Collection and provider for Terraform Enterprise to ensure consistent, reliable, and supported integration. See it in action with demos on how Ansible Automation Platform and Terraform Enterprise work together to reduce complexity, improve risk posture, and manage the full infrastructure lifecycle.

Agentic AI promises to revolutionize enterprise operations by creating autonomous systems that perceive, decide, and act to achieve goals. These intelligent agents automate complex, multi-step tasks, driving efficiency and innovation. However, enterprises often struggle with complex workflow orchestration, ensuring reliability, and efficiently scaling deployments. This session will explore how Red Hat AI provides a robust, open hybrid platform to overcome these challenges and accelerate Agentic AI innovation. We'll demonstrate how its unified API experience and out-of-the-box agent frameworks streamline complex workflow assembly and facilitate seamless integration through support for Model Communication Protocol (MCP). Discover how Red Hat AI ensures governed, trustworthy agent deployment with integrated monitoring, and delivers scalable, cost-optimized infrastructure across hybrid cloud environments, empowering organizations to capture the full potential of Agentic AI.

During concurrent disease outbreaks, independent health systems can still deliver a unified response while preserving sovereignty and privacy. The obstacle is heterogeneous regional schemas and restrictive sharing laws. Join us to see how Agentic Architecture orchestrates specialist agents to fulfil discrete data requests, while Federated Learning merges insights for epidemiologists across borders. LLMs act as the interoperability layer, employing GraphRAG for richer context and faster training. Its design accelerates deployment and scales with emerging datasets. The result: real-time pattern extraction, automated response coordination, privacy-preserving analytics, regulatory compliance, and seamless onboarding of new sources. Federated knowledge graphs ensure both training and inference obey governance while supplying public health agencies with actionable intelligence. This architecture demonstrates how advanced artificial intelligence (AI) techniques can bridge jurisdictional gaps in public health surveillance while maintaining security and sovereignty.

Forget the static checklist. Using Ansible Automation Platform for continuous compliance monitoring, you will gain proactive peace of mind, knowing your environment consistently adheres to your chosen standards throughout its entire lifecycle. Further, allow Red Hat to act as your intelligent security advisor, identifying vulnerabilities and configuration drifts. Integrated seamlessly with our automation platform to dynamically group affected systems and orchestrate rapid, efficient remediation based on the expert knowledge of Red Hat's support team.

Have you wanted to take advantage of Red Hat Insights, but faced regulations that restrict data processing in Red Hat Hybrid Cloud Console? Red Hat Insights advisor is now available on-premise as an installable component of Red Hat Satellite. In this hands-on lab, we’ll walk through setting up Insights advisor with your existing Satellite installation, allowing you to take advantage of recommendations that can improve the security, performance, and availability of your Red Hat Enterprise Linux hosts. We'll explore the architectural design, provide details on data flows and processing, and provide the knowledge you'll need to make the most of Red Hat Insights in your on-premise environments.

Designed for developers and security engineers, this lab provides hands-on experience with the Red Hat Advanced Developer Suite integrated with Jenkins–demonstrating how Trusted Application Pipeline elevates Jenkins CI/CD workflows with advanced security. Participants will use tools like Red Hat Trusted Artifact Signer, Red Hat Trusted Profile Analyzer, SBOMs, SLSA compliance, and sigstore for image signing to transition from non-secure to security-focused pipelines. The Red Hat Developer Hub will also be highlighted as a centralized developer portal, streamlining access to resources. Through practical exercises, attendees will learn to automate consistent security with GitOps, embedding security from code development to deployment without disrupting productivity. Attendees will leave with the skills and mindset to create a more secure software supply chain while preserving the familiar, powerful workflows of Jenkins. Key Takeaways: Provides a self-service portal to accelerate developer onboarding with Red Hat Developer Hub Ensuring security and efficiency in the SDLC with Red Hat Trusted Application Pipeline, Red Hat Trusted Artifact Signer and Red Hat Trusted Profile Analyzer. Understanding comprehensive security for Kubernetes clusters with Red Hat Advanced Cluster Security (ACS). Support continuous integration and deployment with Jenkins and Red Hat Openshift Gitops Streamline the setup of development environments with Red Hat DevSpaces

In this hands-on lab, you’ll learn how to use Red Hat OpenShift Virtualization and Red Hat Ansible Automation Platform for essential administration and optimization practices. You’ll experience OpenShift Virtualization’s capabilities beyond initial deployment and how it supports efficient and reliable platform and VM management. After working through real-world scenarios, you’ll be ready to use OpenShift Virtualization not only to host VMs but also to operate and automate in a way that aligns with your organization’s evolving needs.

In this deep dive roadmap session, the RHEL team will unveil ambitious new features that will ignite the use of large language models, improve productivity and accessibility with new RHEL Lightspeed assistive technology features, and improve testing and deployment of the operating system as a container. Harnessing the power of post-quantum cryptography and trusted computing, you’ll be able to boldly fortify your defense against emerging security threats, ensuring that sensitive data remains impervious to the challenges posed by both current and future adversaries. Over the last 25 years, Linux has transformed from a niche operating system favored by tech enthusiasts and developers into a mainstream powerhouse with a vast ecosystem of applications, from embedded systems and supercomputers to large-scale data centers, revolutionizing how organizations approach technology with an emphasis on collaboration and innovation. This evolution has changed the demands on RHEL, and the professionals who manage it. The needs have grown increasingly complex over the years, driven by diverse use cases, security regulations, expanding hardware architectures, and innovation in the cloud. Successful deployments of RHEL have become a complex dance between a network of experts including security, performance, network, and storage. Join us to better understand how RHEL 10 helps you and your team with tough OS planning problems, beefs up security and provides the foundation for running AI workloads.

As organizations unify virtualized and containerized workloads, migrating virtual machines (VMs) with Red Hat OpenShift Virtualization is transformative. This session provides the tools and insights to understand VM migration, allowing you to integrate VMs within Kubernetes clusters, unlocking flexibility and efficiency. We’ll begin with prerequisites for preparing VMs, covering setup, connectivity, and compatibility tips for a smooth experience. Next, we will explore the migration toolkit for virtualization (MTV), a Red Hat tool used to migrate VMs to Red Hat OpenShift at scale. We will discuss how you can move your workloads once they are on the platform. This session explores cold, warm, and live migrations, with practical use cases. You’ll also learn hands-on techniques for managing live migrations in diverse environments, ensuring smooth operations across clusters with varying hardware. Key takeaways: steps to prepare VMs for OpenShift Virtualization; how MTV simplifies VM migration; what you need to know about cold, warm, and live migration scenarios along with best use cases; techniques for live migrations in hybrid clusters; practical solutions to networking and storage challenges; and scaling migration and Day 2 operations with Red Hat Ansible Automation Platform.

Deriving outcomes with Generative AI and Agentic AI starts with making complex decisions at every layer of the technology stack, from Infrastructure and accelerators, to choosing the right models, tools and API. In this interactive session, we’ll walk through a framework to take AI use cases from development to production, aligning the technical approach with business outcomes.Through real-world examples and open discussion, participants will learn how to identify high-impact AI use cases.