Red Hat Summit: Connect 2026 New York City, New York

Deploying production applications to different environments on reusable, security-focused  foundations with a clear and simple way to build and manage them is a major challenge for IT. In this lab, we'll explore how using image mode for Red Hat Enterprise Linux (RHEL) to build images can deliver working applications on a more secure and manageable foundation. Creating a production system often requires collaboration and requirements from different teams. We'll build our sample application with a phased approach, detailing the fundamentals of image mode operations in a context you can take with you to your environment. This opinionated method will tackle the needs of the operators, the security team, and the developers in ways that are easy to understand and remix. Along the way, we'll highlight different benefits and approaches that image mode uniquely delivers. Today, you'll create a working application host by:Defining the standard baseline environment.Configuring the security posture and compliance.Delivering a common hardened platform for application deployments.Using a single source image for multiple environments.

Virtualizing workloads on a modern, container-native platform unlocks new levels of operational efficiency, resilience, and flexibility for teams managing traditional infrastructure. In this hands-on lab, you’ll work through the core capabilities of Red Hat OpenShift Virtualization, from day-one VM operations to advanced migration, storage, networking, and application integration. Attendees will learn how to: manage virtual machine lifecycle — create, configure, and right-size VMs directly on OpenShift; migrate existing VMware vSphere workloads to OpenShift Virtualization using the Migration Toolkit for Virtualization (MTV), with minimal disruption; navigate storage changes and manage persistent storage for VMs within the OpenShift ecosystem; protect workloads with backup and recovery workflows using OpenShift API for Data Protection (OADP); standardize VM deployments with reusable Templates and InstanceTypes to accelerate provisioning and enforce consistency; configure advanced networking, including L2 network mappings and User Defined Networks (UDN), to meet enterprise connectivity requirements; and expose VM-hosted applications through services and routes, bridging the gap between virtualized workloads and modern application delivery. Join us to experience how OpenShift Virtualization delivers a unified, production-ready platform that simplifies VM operations and accelerates the path from legacy infrastructure to a cloud-native future.

n an era of hybrid cloud complexity, securing the boundary between virtualized and containerized workloads is a critical challenge. This session examines how Isovalent Networking for Virtualization, integrated with Cisco Nexus One fabrics, establishes a unified, high-performance security posture. By unifying networking and security across Red Hat OpenShift Virtualization and Kubernetes, we eliminate the blind spots that often arise when managing disparate workload environments. We will demonstrate how to enforce consistent, defense-in-depth policies across your entire footprint, ensuring your infrastructure is resilient by design. Topics include: unified Policy Enforcement: How virtual machines and containers share a single, hardened networking and security layer, removing the risks associated with siloed infrastructure; secure Workload Mobility: Leveraging the Isovalent Network Bridge to transition workloads between VMware and Kubernetes environments without compromising IP identity or security integrity; and robust Fabric Security: Implementing EVPN-based integration with Cisco Nexus One to achieve deep, multi-tenant network segmentation, ensuring your infrastructure remains isolated and resilient against lateral movement threats. Attendees will leave with a clear roadmap for integrating these technologies to modernize their security architecture and strengthen their defense-in-depth posture.

Americas Hall I

Your open source vendors have figured out they gave away too much. So they changed the license. Then the pricing model. Then the terms around what "free" actually means. They're not done. This session is about what that costs you, and what you can do about it. We'll discuss open source MySQL, MongoDB, PostgreSQL, and Redis that run on your infrastructure, with engineering support from the people who maintain the code.

From "Software is Eating the World" to the "Mythos Moment," organizations' dependency on software has expanded exponentially. With new AI-powered tools, hackers have more ability than ever to build and exploit vulnerabilities. In this session, you'll learn about Project Lightwell, and how Red Hat is helping companies better manage the Vulnerability Gap.

Americas Hall I

Your observability and AI tools are generating insights faster than your team can act on them. Every manual handoff between detection and remediation introduces delay, inconsistency, and the kind of ungoverned change that keeps operations leaders up at night. The missing piece isn't better insights. It's a trusted, governed execution layer that can close the loop. This session explores how Red Hat Ansible Automation Platform bridges the insight-to-action gap, enabling IT teams to move from reactive firefighting to intelligent, automated remediation without sacrificing the audit trails, change control, and compliance requirements that enterprise operations require. We will cover:     - A practical framework for architecting the execution layer your AIOps strategy needs.     - Real-world use cases including automated ticket enrichment, self-healing workflows, and intelligent capacity orchestration.     - Proven results from enterprise organizations that have operationalized observability data with Ansible Automation Platform.     - Guidance on integrating AI assistance within enterprise guardrails.     - How to position your automation practice today to take advantage of agentic AI without introducing unacceptable risk. If you're dealing with alert fatigue, looking to operationalize observability data, or preparing your automation practice for the future of IT operations, this session gives you the blueprint to move from insights to outcomes with confidence.

Red Hat and IBM’s partnership has created opportunities to build and deploy architectures that accelerate innovation while addressing critical objectives, including: artificial intelligence, machine learning, and large language model (LLM) workloads; data sovereignty, multi-tenancy, and AI resource management; rapid deployment of Red Hat OpenShift with IBM Fusion; Models-as-a-Service (MaaS) and auto RAG capabilities; and dramatically compressing time-to-first-research. Join this session for an overview of the college’s Red Hat OpenShift and IBM watsonX Fusion project with Shailesh Shenoy, Assistant Dean of Information Technology and Director of Research Computing at Albert Einstein College of Medicine. We’ll share how Albert Einstein is establishing a sovereign, multi-tenant AI research platform that provides biomedical researchers and educators with immediate, self-service access to large and small language models, RAG capabilities, and Jupyter-based tooling, eliminating institutional red tape and dramatically compressing time-to-first-research. Delivered as a templatized, autonomous, and extensible service, it enables researchers to move seamlessly from prompt experimentation through API integration to production AI pipelines, accelerating the publication of meaningful biomedical discoveries at institutional scale.

Americas Hall I

In the race to modernize, many organizations fixate on “Zero CVE” metrics—treating symptoms rather than root causes. This keynote reframes security around a Trusted Software Factory: an automated, verifiable approach that enables teams to move fast without compromising integrity. Attendees will learn: why “Zero CVE” isn’t enough and how a factory model addresses the root of software risk; how Red Hat applies decades of expertise to deliver tamper-resistant, SLSA-compliant artifacts at global scale; the role of Platform Engineering and DevEx in creating “Golden Paths” that embed security into everyday workflows; why AI-generated code changes everything, pushing traditional human-centric security models to their limits; and how factory-based guardrails ensure trust, transparency, and consistency across both human- and machine-generated code. Finally, we’ll look ahead to the next evolution: agentic software factories—where AI not only assists developers but actively manages and secures the software lifecycle through self-healing, self-attesting systems optimized for the hybrid cloud era.

Security threats move in seconds, but manual incident response can take hours. In this hands-on workshop, you’ll learn how to transform slow, reactive security tasks into automated, production-safe workflows using Red Hat Ansible Automation Platform and Event-Driven Ansible. Through a series of practical lab exercises, you’ll respond to a live security vulnerability from initial alert to safe remediation. You will build and test automated pipelines across three core phases: Defend: Instantly isolate affected services, contain threats, and revoke compromised credentials using event-driven triggers the moment a vulnerability is detected. Contain: Apply critical patches quickly using policy-gated workflows that run safety checks and gather necessary approvals before changes touch production. Comply: Enforce continuous security guardrails by packaging hardened configurations into scanned, audit-ready deployments that satisfy compliance standards. Whether you manage enterprise infrastructure or oversee security operations, you will leave this session with actionable techniques to slash your Mean Time to Respond (MTTR) while keeping your environment safe and compliant.

Agentic AI apps don’t fail silently; they fail distributedly. This hands-on lab shows how to make multi-agent AI systems observable end-to-end on Red Hat AI. By exploring a multi-agent app integrated with Model Context Protocol (MCP) tools, we demonstrate an AgentOps discipline that delivers visibility from infrastructure to AI model backends. As organizations scale, teams face cascading errors, hidden latency, and complex integration bottlenecks. Attendees will leave with practical patterns for observing, troubleshooting, and evaluating agentic workflows. Attendees will also learn how to:Monitor the stack: Use Red Hat AI’s out-of-the-box observability stack to track key metrics and logs.Trace multi-agent executions: Track requests across multi-agent frameworks (like LangGraph/LangChain) and MCP tools to understand the complete decision-making path using Red Hat AI and MLFlow tracing features.Diagnose and fix distributed failures: Simulate real-world rollout issues, such as artificial delays in MCP servers or failing multi-agent communications, and use tracing to pinpoint the root cause and deploy the fix.Large language model (LLM) evaluations: Go beyond basic observability by combining tracing with LLM evaluations in MLflow, ensuring your agents maintain high-quality outputs alongside system reliability.

Modern IT teams are being asked to do more with less while managing increasingly complex hybrid environments. In this session, discover how SHI and Red Hat are helping organizations move beyond basic automation toward self-healing operations with Red Hat Ansible Automation Platform. We'll explore how Event-Driven Ansible can automatically respond to infrastructure events, security alerts, and operational issues—reducing manual effort, improving consistency, and accelerating response times. Through real-world examples, you'll see how automation can transform incident response, day-to-day operations, and compliance management across modern IT environments.

Americas Hall I

Datacenter virtualization migration and AI implementation don’t have to be managed as separate IT projects or remain as isolated clusters. Modernization for operational efficiency and AI deployment can be pursued in a digestible and unifying way, resulting in ready-for-AI, energy-friendly and memory-efficient designs. Red Hat software platforms deployed over AMD-enabled compute, storage and networking systems offer the widest span of modern enterprise infrastructure available, simplifying staff training, manageability, scale, and resiliency. In this session, AMD will walk you through emerging enterprise computing functions, the Red Hat stacks that enable them, giving you the insight needed to help plan your ideal datacenter operation of the future, implementable now. You will leave with a planning roadmap you can use internally to help begin your modernization process.

The developer’s laptop is the new frontier for the enterprise software supply chain. But most organizations currently rely on unsupported or competitor tools to support their operating systems, creating critical security gaps. In this session, we’ll officially introduce Red Hat Desktop, a fully supported operating system based on the popular Podman Desktop that unifies and protects the inner-loop development experience across Microsoft Windows, macOS, and Red Hat Enterprise Linux. Join us for discussion and demonstrations of how to standardize your developer experience, incorporate software supply chain security from the first line of code, and speed your journey to hybrid cloud and AI-enabled applications. Key topics include: how using a daemonless architecture and rootless containers by default provides security advantages, minimizing attack surface compared to legacy solutions; how Red Hat Desktop provides a crucial trusted golden path for containerized application development through integration with Red Hat Hardened Images and certified Red Hat content; and how Red Hat Desktop unites local AI development with production by integrating AI agentic experiences and Red Hat OpenShift AI environments.

Americas Hall I

This session shares how an a customer is using Red Hat Enterprise Linux (RHEL) image mode to raise their security baseline and simplify Day 2 operations across a large, regulated estate. We will examine the bank’s approach to golden images, promotion and signing, controlled rollouts, and drift detection—as well as how Red Hat Satellite and Red Hat Lightspeed fit into the flow. Attendees will learn how this customer reduced change risk, accelerated patch cadence, and made audits more predictable. By the end of this session, you will know what pitfalls to avoid and have access to a starter playbook for your own image-based rollout.

In today's fast-moving era of AI-driven cyber threats, modern organizations must drastically accelerate vulnerability remediation to protect critical digital infrastructure. Join Joon Paik at Red Hat Summit Connect to discover how to supercharge your patch management strategy using the Ansible Automation Platform. This session demonstrates a scalable, patching pipeline that seamlessly leverages Red Hat Enterprise Linux (RHEL) Lightspeed's intelligent capabilities alongside Red Hat Satellite's robust environment management. Learn to orchestrate automated scanning, execute rapid cross-platform patch deployments and configuration management, and maintain strict compliance while preserving application stability using event-driven automation. Turn reactive maintenance into proactive enterprise defense.

Americas Hall I

As organizations scale their AI initiatives, the hidden costs of foundational models can quickly become a barrier to innovation. ""From Tokens to Tokenomics"" explores how businesses can move beyond the ""one-size-fits-all"" approach by implementing a hybrid architecture strategy. This session provides solutions patterns to identify the right architecture for the right use case, balancing performance, governance, cost and efficiency. We will introduce a maturity model for AI adoption, demonstrating how enterprises can adopt new hybrid architectures including close models and open models to optimize internal infrastructure for specific use cases. Through five concrete use cases, attendees will learn how to design flexible, high-performance architectures that deliver measurable business value while maintaining operational control and governance. Whether you are an executive planning your mid-year budget, an AI Platform Engineer, an AI Engineer, optimizing or consuming inference. session offers the quantitative, real use cases to bring insights to build a scalable and efficient AI stack.