dettaglio webinar
CLOUD & DEVOPS
OpenShift Virtualization: modernize your Data Center with a unified approach


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Discover how to modernize your Data Center by integrating virtual machines and containers into a single enterprise platform based on Red Hat OpenShift Virtualization Engine.
In this on-demand webinar, Extra Red explores how to simplify IT infrastructure management, reduce technology silos, and improve operational efficiency through a unified approach to virtualization and containerization.
Starting from real questions gathered from actual modernization projects, the session covers the key aspects of the platform: the maturity level of the technology, the operational benefits of managing VMs and containers together, migration strategies for existing virtual machines, and best practices to optimize resources, processes, and costs.
Through practical examples and a technical demo, the webinar shows how to use OpenShift Virtualization to manage provisioning, networking, storage, and operations, providing a complete overview of the benefits of a modern, scalable, and reliable IT infrastructure.
CLOUD & DEVOPS
OpenShift Virtualization to optimize your Data Center


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On November 26 we organized a webinar dedicated to Red Hat OpenShift Virtualization, the solution that integrates virtual machines and containers into a single Kubernetes-native platform.
During the session we covered:
- How OpenShift Virtualization works.
- Tools to migrate VMs from VMware and other hypervisors.
- A live demo with creation, management, and migration of VMs.
AI & DATA
AIOps: turn enterprise data into business value


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Extra Red, part of the Engineering Group, explored the topic of AIOps and AI-driven Observability, showing how to leverage data already present within corporate systems and turn it into valuable business insights.
During the webinar, the architecture of Extra Red’s AI-powered Observability solution was presented, together with a real-world use case that highlighted measurable benefits in terms of operational efficiency, reduced diagnosis times, anomaly prevention, and process optimization.