Red Hat

Transform Hybrid Cloud, automation & AI with Red Hat and ITQ

As a Red Hat partner, we bring together engineering expertise and enterprise open-source innovation to modernize legacy infrastructure, automate operations, and deploy AI-powered applications across cloud and on-premises environments. Our goal is to support digital transformation initiatives across the enterprise by embedding proven open-source technologies into the foundation of your IT strategy. We support organizations in building future-ready platforms that combine security, agility, and scalability across hybrid environments.

Our collaboration with Red Hat is focused on delivering practical outcomes in four core domains:

Red Hat OpenShift: the enterprise Kubernetes platform
Ansible Automation Platform: unified IT automation at scale
OpenShift Virtualization: VMs and containers on one platform
Red Hat AI: enterprise-grade, production-ready AI capabilities

These solutions enable our customers to deploy, manage, and evolve critical workloads—whether running legacy applications or building next-generation digital services. By consolidating tools, processes, and teams around a common platform strategy, we help IT organizations become more agile, resilient, and efficient.

What ITQ delivers with Red Hat

With Red Hat technologies, ITQ helps organizations design and implement secure, scalable platforms; operationalize DevOps, automation, and AI; and modernize legacy systems with enterprise governance and agility. We provide architectural guidance, platform engineering, automation frameworks, and AI delivery pipelines—all backed by validated reference architectures and best practices.

Red Hat OpenShift – The Enterprise Kubernetes Platform

Red Hat OpenShift is a unified application platform built on Kubernetes, enabling development and operations teams to build, deploy, manage, and scale applications securely across hybrid and multi-cloud environments. Whether self-managed on-premises or consumed as a managed cloud service, OpenShift delivers consistent experiences and enterprise-grade capabilities. It supports a wide range of use cases, from containerizing legacy workloads to hosting cloud-native microservices and edge deployments.

Enterprise-ready Kubernetes, secure by default

OpenShift integrates security throughout the container stack—from build and deployment to runtime—ensuring a consistent and compliant foundation for modern applications. It includes policy enforcement and role-based access control (RBAC) to help teams govern user access and system behavior. With container image scanning via tools like Quay and security context constraints, OpenShift proactively addresses vulnerabilities before deployment. Integration with enterprise identity systems through SSO, LDAP, and OAuth allows for seamless and secure authentication. Network segmentation and egress controls, combined with built-in compliance automation, make OpenShift suitable for regulated industries. This built-in security posture helps organizations adopt DevSecOps practices without relying on external patchwork solutions, and ensures that security is maintained at scale.

Complete DevOps automation and CI/CD integration

OpenShift includes a comprehensive DevOps toolchain that enables GitOps workflows, continuous integration and delivery through Tekton pipelines, and automated container builds using tools like Buildah and S2I. With integrated observability, support for progressive delivery strategies, and rollback capabilities, teams can move code from development to production quickly and confidently. These capabilities allow for faster iteration, reduced deployment risk, and better team collaboration. OpenShift's support for hybrid cloud and edge deployment models ensures consistent operations across diverse environments, helping reduce overhead and accelerate application delivery.

Deploy anywhere: hybrid, multi cloud, edge

OpenShift gives organizations the flexibility to deploy workloads wherever it makes the most sense—whether on bare metal, in virtualized environments like vSphere, or across leading public clouds such as AWS, Azure, and Google Cloud. It supports both self-managed and fully managed options, including Red Hat OpenShift Service on AWS (ROSA) and Azure Red Hat OpenShift (ARO), and even extends to compact cluster configurations for edge use cases. With consistent APIs, developer tooling, and operational models across these environments, OpenShift helps teams avoid cloud lock-in while maintaining uniform governance and control. This flexibility allows businesses to deploy modern applications closer to their users, ensure compliance across regions, and scale with confidence.

Developer productivity and PaaS capabilities

OpenShift offers a developer-centric experience with self-service portals, integrated web consoles, and support for containerized development workflows. From browser-based IDEs to certified Kubernetes Operators and pre-built templates, OpenShift simplifies the development lifecycle and accelerates time to value. It provides guardrails that empower developers to innovate without compromising platform stability. Teams benefit from reduced onboarding time, improved collaboration, and a consistent environment from development to production.

Observability, monitoring, and lifecycle management

Operations teams benefit from built-in monitoring, logging, and lifecycle automation tools, offering full-stack visibility and centralized governance for multi-cluster environments. Integrated tools like Prometheus, Grafana, and Red Hat Advanced Cluster Management (ACM) allow organizations to track performance, detect anomalies, and apply policies across their entire OpenShift fleet. This helps improve service reliability, enforce compliance, and reduce mean time to resolution (MTTR).

Ecosystem integration and extensibility

OpenShift integrates seamlessly with Red Hat’s portfolio and a wide range of third-party tools, creating a flexible, enterprise-ready platform. From GitHub Actions and Jenkins to ServiceNow and Terraform, OpenShift works across existing ecosystems to avoid disruption. This extensibility ensures that organizations can tailor their platform to evolving needs while benefiting from vendor support and an active open-source community.

Red Hat Ansible Automation Platform – Unified Automation across Hybrid Infrastructure

Red Hat Ansible Automation Platform standardizes IT automation across infrastructure, cloud, applications, and security operations. It provides a flexible, agentless framework with centralized control and enterprise governance. It is designed to help IT teams reduce operational overhead, ensure consistency, and increase responsiveness in dynamic environments.

Centralized automation for any domain

IT teams can automate day-to-day tasks and complex workflows using human-readable YAML playbooks, replacing fragmented scripting with scalable automation. The platform includes automation analytics, a visual dashboard, and pre-integrated certified content. This helps teams collaborate more effectively, reduce manual errors, and share automation across the organization through reusable components.

Enterprise-grade governance, RBAC & compliance

Ansible supports RBAC, policy enforcement, encrypted credential management, and audit trails to ensure controlled and compliant automation across the organization. These capabilities help align automation with internal security policies and external regulatory requirements, allowing organizations to scale automation securely and transparently.

Event-driven automation at scale

Ansible enables event-driven automation by allowing systems to automatically respond to real-time changes across infrastructure and applications. Rather than relying on manual execution or isolated scripts, Ansible integrates with common monitoring tools, cloud management platforms, and CI/CD systems to form a cohesive automation layer. This orchestration ensures that operational triggers—such as scaling demands, incident alerts, or configuration drifts—can immediately initiate automated workflows, improving agility and consistency. By linking events with automated responses across domains, organizations can reduce downtime, enforce standardized practices, and improve responsiveness to both technical and business requirements. It also helps to reduce downtime, respond proactively to incidents, and enforce standardized operational responses across IT.

Flexible deployment options and ecosystem integration

Available on-prem, in the cloud, or as a managed offering, Ansible Automation Platform offers flexible deployment options that adapt to your infrastructure. It integrates with tools like Red Hat Satellite, Microsoft System Center, AWS, and Google Cloud to support multi-platform automation from a central location.

Scalable automation controller & visual dashboards

The platform includes a scalable automation controller (formerly Ansible Tower) and provides visibility and control at every stage of the automation lifecycle. Teams can delegate permissions, visualize execution flows, and schedule jobs, ensuring that automation is executed reliably and predictably.

Enablement, analytics & operational insights

Ansible includes Red Hat Insights and analytics to monitor, optimize, and continuously improve automation usage. With data-driven insights into performance, coverage, and security, organizations can measure the effectiveness of their automation initiatives and adjust strategies as needed.

Red Hat OpenShift Virtualization – Unified Platform for VMs and Containers

Red Hat OpenShift Virtualization allows organizations to run traditional virtual machines (VMs) alongside containerized applications within a single Kubernetes-native platform. This unified model allows enterprises to consolidate infrastructure, reduce complexity, and lay the foundation for modernization.

Seamless integration of VMs and containers

Organizations can manage Linux and Windows VMs, reuse existing VM images, and apply Kubernetes-native tools to VM workloads. Developers and operators benefit from a consistent operational model that enables gradual modernization while supporting existing business-critical applications.

Simplified VM migration

With the Migration Toolkit for Virtualization (MTV), OpenShift Virtualization streamlines transitions from platforms like VMware vSphere, enabling phased migrations with minimal downtime. This reduces migration risk and lowers total cost of ownership by consolidating tooling.

Unified Management and monitoring

Unified monitoring, logging, and governance tools give operations teams a single-pane-of-glass view across all workloads. Teams can apply consistent policies and access controls across VMs and containers using the same platform interface.

Enterprise-grade performance and scalability

High-density deployments, scheduling optimizations, and high availability support ensure production-readiness. OpenShift Virtualization supports demanding workloads while enabling intelligent placement, fault tolerance, and elastic scaling.

OpenShift Virtualization Engine

OpenShift Virtualization Engine is a self-managed OpenShift edition tailored for virtualization-only use cases. It offers enterprise-grade VM capabilities with a streamlined, cost-efficient model. It supports high availability, advanced scheduling, and integrates with Red Hat Ansible Automation Platform and Advanced Cluster Management. Organizations benefit from a simplified virtualization footprint while maintaining the flexibility to evolve toward containers when ready.

Red Hat AI – Open, Production-Ready AI for the Enterprise

Red Hat AI provides an enterprise-ready platform for building, training, deploying, and managing AI and ML workloads at scale - powered by OpenShift. It empowers organizations to turn experimentation into value through reproducibility, scalability, and secure operations.

End-to-end AI/ML lifecycle on Kubernetes

Red Hat AI supports the full AI lifecycle by offering integrated tools that enable data scientists and developers to collaborate effectively—from creating and training models using environments like Jupyter notebooks and frameworks such as TensorFlow or PyTorch, to managing deployment through GitOps-enabled pipelines for scalable and reproducible production workflows. The platform supports both batch and real-time inference, and integrates into modern CI/CD and MLOps workflows.

Secure, policy-driven AI infrastructure

Security is enforced across workloads, with RBAC, audit logging, trusted registries, and policy controls embedded in the OpenShift layer. This ensures that AI workloads comply with enterprise security requirements while maintaining transparency, governance, and trust.

Integrated MLOps tooling and automation

Red Hat AI supports MLOps pipelines, model tracking, versioning, and integrates with CI/CD and observability platforms to ensure reliability and traceability. Teams can orchestrate experimentation, model promotion, and rollbacks as part of a governed lifecycle.

GPU acceleration and hybrid infrastructure support

It enables GPU acceleration, high-performance training, and distributed inferencing across cloud, edge, and on-prem environments. With native support for NVIDIA GPU Operator and OpenShift Data Science, Red Hat AI ensures performance at scale.

Ecosystem integration and open standards

Red Hat AI integrates with MLflow, Kafka, Open Data Hub, and more—ensuring flexibility and avoiding lock-in. It is built on open-source standards that promote transparency, portability, and innovation.

Ready to get started?

Accelerate your transformation journey with Red Hat and ITQ. Whether you’re building modern apps, modernizing traditional workloads, scaling automation, or building AI platforms—we’re ready to help.

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