Red Hat Summit: Connect 2025 Washington, DC

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; and implementing security standards with RHEL system roles, powered by Ansible.

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.

Government agencies and regulated industries often operate in isolated (air-gapped) environments where onboarding new developers can be slow, manual, and error-prone. Ensuring immediate access to required resources—while maintaining security and compliance—is a persistent barrier to productivity. This session demonstrates how to fast-track developer onboarding in disconnected OpenShift environments by leveraging reusable, production-ready Ansible Collections. These collections encapsulate repeatable automation for platform and application provisioning, identity and access management, and workspace setup.

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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.

Ready to drive real value from AI? Overcome critical challenges in AI infrastructure, operational response, and trust with Red Hat Ansible Automation Platform. This session shows you how turn intelligence into action. Learn to: automate and standardize your AI infrastructure with Red Hat AI for faster, error-free adoption; enable AIOps using Event-Driven Ansible and Ansible Lightspeed for self-healing systems and rapid remediation; and ensure trustworthy, compliant AI through policy enforcement in your automated workflows. Discover how Ansible Automation Platform delivers the consistency, resilience, and trust needed to confidently scale your AI initiatives and turn AI's promise into enterprise reality.

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In the rapidly evolving landscape of platform engineering, success depends on knowing not just what to do, but what to avoid. In this session, we'll how Red Hat OpenShift and Red Hat Advanced Developer Suite help your platform engineering and DevSecOps initiatives succeed, including: using Developer Hub, based on the upstream Backstage project, as a venue for developer and platform collaboration; configuring Red Hat OpenShift to best maintain performance; integrating security best practices with Trusted Software Supply Chain and Advanced Cluster Security; and best practices for maintaining and life-cycling templates and golden paths to ensure scalability and consistency. We'll share practical tips ensuring your platform engineering initiatives remain agile, efficient, and security-focused. 

Join the Red Hat Summit Connect lunch. All event attendees are able to join.

Join the government luncheon to discuss how open source innovation is shaping the future of enterprise IT, and empowering agencies to meet evolving mission demands.

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.

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.

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.

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Federal information systems are vast, complex, and increasingly reliant on automation to manage scale and compliance. Yet, operations teams often struggle with tacit knowledge loss, tribal process knowledge, and inconsistent incident handling. This session presents a solution architecture combining ServiceNow’s ITSM/ITOM capabilities with Red Hat Ansible Automation Platform (AAP) to reduce human bottlenecks and minimize MTTR across hybrid, multi-layered federal IT environments. Together, they establish a closed-loop automation model where incidents are detected, diagnosed, and resolved with minimal manual intervention, feeding insights back into knowledge bases to prevent future recurrence and reduce operator fatigue. The result? Smarter systems, leaner teams, and a path to zero-touch operations aligned with the goals of federal digital modernization.

In today’s fast-moving financial services landscape, the ability to rapidly deliver applications is a key competitive differentiator. This session explores how to remove bottlenecks and equip your teams with the on-demand tools and infrastructure they need to accelerate delivery timelines, drive innovation, and respond to market demands with agility. Join us for a demonstration of how Red Hat Developer Hub provides a unified portal for developers to request virtualized environments and streamline approval and provisioning workflows. We'll show how Ansible Automation Platform translates these requests into fully automated workflows that enforce governance at every step. See how virtual machines are provisioned directly on Red Hat OpenShift Virtualization, ensuring a standardized and auditable foundation for your applications. This integrated approach abstracts complexity, accelerates your development lifecycle, and provides the rigorous controls essential for financial services.

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During simultaneous disease outbreaks in multiple countries around the world, our solution demonstrates how independent health systems can contribute to a unified response while maintaining data sovereignty and patient privacy. The challenge lies in harmonizing disparate data structures: Countries collect regional-level data using unique schemas, and data sharing laws are not always conducive to rapid learning and response. Our solution implements an agentic architecture where specialized agents manage distinct data requests, while a central agent aggregates insights for epidemiologists. Large Language Models (LLMs) serve as an interoperability layer, leveraging GraphRAG for enhanced contextual understanding and efficient training cycles. This approach enables: real-time pattern extraction across jurisdictions.; automated response coordination; privacy-preserving data analysis.; compliance with privacy regulations; and scalable integration of new data sources. The federated nature of our knowledge graphs ensures both training and inference adhere to governance requirements while providing public health agencies with actionable insights. This architecture demonstrates how advanced artificial intelligence (AI) techniques can bridge jurisdictional gaps in public health surveillance while maintaining security and sovereignty.