Red Hat Summit: Connect 2026 Toronto, Ontario

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 hands-on 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. - 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.

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.

Join this session to discover how Red Hat AI provides a robust platform to accelerate the deployment and management of agentic AI workflows enabling organizations to deploy and manage autonomous systems that perceive, decide, act, and learn to achieve complex goals. We’ll explore how Red Hat AI delivers the ultimate in flexibility and control, allowing you to run your AI, where you want, and how you want, from the infrastructure, all the way to the agents. What you will learn and see: real-world scale: hear how some of our customers use this foundational AI platform to accelerate predictive and generative AI. Discover how they empower their data scientists and AI engineers with self-service environments so they can deploy , host, manage, monitor, lifecycle AI-powered and agentic applications, at scale; live demos: our demos will illustrate both the existing and latest features of the Red Hat AI, such as model selection, deployment, guardrailing, as well as examples of common patterns, such as Models-as-a-Service. And we will focus on practical, real-world AI use cases, inspired from our customers.

Upgrading Linux can be a daunting task. While Red Hat Enterprise Linux 10 is the most feature-rich version of the operating system released, many organizations have only just updated their systems to Red Hat Enterprise Linux 8. While many customers have used the Leapp tool and Red Hat Ansible Automation Platform to upgrade millions of their systems, Red Hat is introducing Certified Ansible Content based on best practices learned by those systems using this approach. Join this session to learn how this tested automation approach can get your Linux operating systems where you need them quickly and safely, including:Examples of automated upgrades, including a fail fast iterative approach to in-place upgrades.An introduction to the new Red Hat Ansible Certified Content Collection for Red Hat Enterprise Linux upgrades and AIOps automation.Demonstrations of a workflow to transfer control of the final conversion process to new owners, from ITOps to application owners.

AI-accelerated threats like Mythos have collapsed the Time-to-Exploit to hours, leaving financial institutions vulnerable to a critical remediation gap. The Red Hat Lightwell Runtime Patching Factory bridges this divide by automating the path from secure artifact to production. By leveraging autonomous AI agents, RHADS for secure CI, and Ansible Orchestrator for compliant CD, the Factory enables organizations to transition from human-speed manual patching to machine-speed resilience and regulatory-grade oversight.

This hands-on lab equips participants with the skills to build a true defense-in-depth strategy for complex, heterogeneous environments — operating at machine speed across every layer, from the endpoint to the automation itself. Participants will move beyond reactive, manual processes by building cross-platform automation across three pillars: Defend (patching at velocity with zero-downtime workflows, while securing automation content through a trusted, verified pipeline), Contain (using event-driven automation as a "circuit breaker" to rapidly respond to incidents, isolating threats and revoking credentials in real time), and Comply (enforcing CIS/STIG baselines and policy-as-code guardrails for least-privilege compliance). Attendees will have hands-on experience deploying automated workflows that accelerate patching across the fleet, slash mean time-to-respond when incidents occur, and ensure every change human or automated meets security and compliance standards before execution.

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.

The shift from experimental AI to deploying enterprise AI at scale requires a fundamentally new software and hardware architecture. This session explores the expansion of the Red Hat and NVIDIA collaboration, including Red Hat Enterprise Linux for NVIDIA. We will detail how this specialized edition provides Day 0 support for new NVIDIA accelerated computing platforms, providing a hardened foundation for future AI and computationally dense workloads. Next, we will dive into the full-stack integration that defines the Red Hat AI Factory with NVIDIA. This new enterprise AI factory solution combines Red Hat AI Enterprise and NVIDIA AI Enterprise software capabilities, with support for NVIDIA’s latest accelerated computing platforms. You’ll hear how this full-stack AI factory solution transforms the ad-hoc creation, customization, and deployment of AI experiments into a repeatable, scalable, and safe-guarded process for production deployments.

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.

For over a decade, Red Hat OpenShift has empowered thousands of customers and forged hundreds of strategic partnerships, establishing itself as a cornerstone of innovation and reliability in container orchestration and hybrid cloud application deployment. Join this roadmap session for an exclusive preview of what’s next in Red Hat OpenShift. Discover how OpenShift will bring agentic AI into the platform to simplify operations, accelerate troubleshooting, enhance upgrades, and improve day‑to‑day efficiency. Learn about support for post‑quantum cryptography, native multi‑cluster capabilities, extended lifecycles, and digital sovereignty. Learn how Red Hat OpenShift is evolving into an intelligent application platform for containers, virtual machines (VMs), and AI/ML workloads, with built-in capabilities that streamline development, build, deployment, and management across hybrid cloud environments. Explore how Red Hat OpenShift continues to be your catalyst for innovation, agility, and success in the rapidly evolving digital ecosystem.

While migrating from VMware to Red Hat OpenShift Virtualization, a large automotive customer faced a gap in coverage for a critical phase of its system provisioning workflow, including essential legacy vRealize Automation workflows. Red Hat Ansible and Red Hat OpenShift Virtualization Technical Account Managers (TAMs) worked closely with the customer to establish an automation practice based on existing IT infrastructure. Join this session to learn how this new solution spans the full system lifecycle of a global business, from Day 0 provisioning to Day 1 image creation and beyond, including: choosing an automation platform; implementing workflows; applying built-in integrations with enterprise business technology—including Hashicorp Vault, the Red Hat OpenShift application programming interface (API), Salesforce ticketing, and Slack.Taking advantage of multi-platform capabilities for Red Hat Enterprise Linux, Microsoft Windows, Ubuntu, and other operating systems (OSes); and preparing for future GitOps model migration.

Tired of the endless cycle of scanning and patching CVEs in your production container environments? Project Hummingbird is Red Hat's next-generation initiative to fundamentally change the way application dependencies are packaged and delivered. This deep dive focuses on how we're leveraging years of containerization expertise to create ultra-minimalist, hardened, distroless container images for high-value open source languages, frameworks, and application components. We'll not only unpack the innovative technology and automated build processes behind Hummingbird, but also provide actionable insights into: security: how a dramatically smaller attack surface translates into a near-zero CVE count in your base images; efficiency: the performance benefits of using images stripped down to only the essential components; and production readiness: real-world use cases, integration examples, and tips and tricks for deploying and operating these minimal images at scale. Attendees will leave equipped to level-up their container security posture and accelerate their organization's shift-left security strategy.