Labs Summit Connect Red Hat Dubai

Event overview:

 

Take your technical expertise to the next level at the Red Hat Summit Connect Dubai through our exclusive, hands-on labs. 
 
These interactive sessions are designed to move beyond theory and get you directly into the driver’s seat of today’s most transformative technologies. Whether you are looking to scale AI/ML workloads with Red Hat OpenShift AI or modernize your infrastructure by running VMs alongside containers with OpenShift Virtualization, these labs provide the environment and expert guidance you need. 
 
Space is strictly limited to ensure a high-touch learning experience—bring your laptop and prepare to build the future of your enterprise infrastructure in real-time, and pick the lab that suits your needs best!
 
Date: 20 October 2026, same day as Summit Connect Dubai
Time: 3:20 - 5:30
Location: One and Only Zabeel
Requirements: Please bring your laptop. WiFi and environment access will be provided.
 

Lab 1: AgentOps in Production: AI Observability on OpenShift.
 

Lab Details
 

Workshop Title: AgentOps in Production: AI Observability on OpenShift
Format: Hands-on, scenario-driven lab
Key Technologies: Red Hat OpenShift AI (MLflow Tracing, Prompt Registry, LLM-as-a-Judge), LangGraph, Model Context Protocol (MCP), Grafana, and LokiStack.
Session Duration: 2 hours.

Event Description

In this hands-on workshop, you take on the role of a senior engineer at a mortgage lending company whose multi-agent AI system is failing in production without any visibility into why. Using Red Hat OpenShift AI’s integrated observability stack, you will instrument and monitor a real LangGraph-based multi-agent application end-to-end. Throughout the session, you will track metrics, logs, and distributed traces across five distinct AI agent personas and their Model Context Protocol (MCP) tool calls. By the end of the workshop, you will be able to diagnose distributed failures, trace agent reasoning paths across complex workflows, and run continuous LLM evaluations to catch quality regressions before they reach production.

Featured Technology and Products

• Red Hat OpenShift Container Platform
• Red Hat OpenShift AI (RHOAI) — including MLflow Tracing, AI Pipelines, and Model Registry
• LangGraph multi-agent framework
• Model Context Protocol (MCP)
• Grafana and LokiStack (metrics and log aggregation)
• MLflow Prompt Registry and LLM-as-a-Judge evaluations
• OpenTelemetry-compatible distributed tracing

Agenda

Module 1 — The Agentic App and Why Observability Matters
Module 2 — Observability Pillars, Concepts, and Personas
Module 3 — Metrics and Logs for Agentic Applications
Module 4 — Tracing and MLflow
Module 5 — Agent and LLM Evaluations
Module 6 — From Development to Production

 
Lab 2: OpenShift Virtualization and Automation Experience

Abstract
 
Experience hands-on VM management with Red Hat OpenShift Virtualization. Learn to migrate, configure, back up, and network virtual machines alongside modern Kubernetes workloads on enterprise-grade infrastructure.

Agenda
 

• Lab Intro and Overview - 20 min
• Hands-on Lab - Part 1 and Demo Pills : Provisioning, Migration (MTV), Storage and Automation - 45 min
• Break - 10 min
• Hands-on Lab - Part 2  and Demo Pills: Networking, Templates, and App Integration - 45 min
   

Lab Overview

Join this immersive hands-on workshop to explore how Red Hat OpenShift Virtualization enables you to bring virtual machines onto a modern, Kubernetes-based infrastructure.
Participants will deploy and work with:

• VM provisioning using custom Templates and InstanceTypes
• VM migration from VMware vSphere using Migration Toolkit for Virtualization (MTV)
• Kubernetes-native storage, backup, and disaster recovery workflows
• Perform Day-2 configurations through Automation
• Custom L2 networking, User Defined Networks (UDN), and application exposure via routes

This session demonstrates how traditional VM management activities can be unified with containerized application workflows using enterprise-grade infrastructure.

What You Will Learn
 
By the end of this workshop, participants will:

• Create and configure virtual machines and allocate computing resources
• Migrate existing virtual workloads from VMware vSphere using the Migration Toolkit for Virtualization (MTV)
• Manage Kubernetes-native storage paradigms tailored for virtual machines
• Implement backup and restore processes for virtualized workloads
• Streamline VM deployments by creating custom Templates and InstanceTypes
• Expose VM-hosted applications utilizing OpenShift services and routes
• Configure advanced VM networking, including L2 mappings and User Defined Networks (UDN)
• Understand how OpenShift manages virtual machines and containers together using Kubernetes-native tools