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Red Hat OpenShift Virtualization Services

OpenShift Virtualization

Services

Key Service Propositions

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Unified Platform for VMs & Containers

Run virtual machines and containers side by side in OpenShift.

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Seamless VM Migration

Move workloads from traditional hypervisors like VMware, KVM, and Red Hat Virtualization (RHV).

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Multi-Cloud & Hybrid Deployment

Deploy OpenShift Virtualization across on-prem, private, and public clouds.

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Automated Operations & Scaling

Use Kubernetes-native automation to scale VMs dynamically.

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Enhanced Security & Compliance

Role-based access control (RBAC), network policies, and workload isolation.

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Optimized Performance & Cost Efficiency

Reduce licensing costs and hardware dependencies.

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24/7 Monitoring & Support

Proactive monitoring, troubleshooting, and lifecycle management.

Service Offerings

Our Red Hat OpenShift Management Services ensure seamless operations,
security, and performance for your OpenShift environments. Below is a detailed
breakdown of our service offerings.

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OpenShift Virtualization Deployment & Configuration

Enterprise-Grade Deployment

Set up OpenShift Virtualization on on-prem or cloud environments.

Hybrid & Multi-Cloud Integration

Support for AWS, Azure, GCP, and private cloud infrastructures.

Networking & Storage Configuration

Optimize performance with OpenShift SDN, Multus, and persistent storage.

High Availability & Disaster Recovery

Architect VMs for failover, redundancy, and business continuity.

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VM Migration & Modernization

VMware to OpenShift Migration

Assess, plan, and migrate VMs from VMware vSphere to OpenShift Virtualization.

RHV & KVM Migration

Migrate workloads from Red Hat Virtualization and KVM-based environments.

Legacy VM Modernization

Refactor applications to leverage containerization while keeping legacy VMs operational.

Automated Migration Tools

Utilize OpenShift Migration Toolkit for Virtualization (MTV) for seamless transitions.

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Virtual Machine Lifecycle Management

VM Provisioning & Orchestration

Automate VM creation, scaling, and management using OpenShift.

Live Migration & Failover

Ensure workload continuity with live VM migration and automated failover strategies.

Policy-Based Automation

Define scaling, scheduling, and workload placement policies.

Monitoring & Performance Tuning

Utilize Prometheus, Grafana, and OpenShift Logging for VM health monitoring.

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Security & Compliance for Virtualized Workloads

Role-Based Access Control (RBAC)

Restrict access and permissions for VM management.

Network Security & Isolation

Implement OpenShift SDN, service mesh, and firewall rules for VM traffic control.

Compliance & Audit Readiness

Ensure adherence to PCI-DSS, HIPAA, GDPR, and other regulatory frameworks.

VM Image Security & Scanning

Harden VM images and enforce security policies with OpenSCAP and Clair.

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Performance Optimization & Cost Efficiency

Resource Optimization & Rightsizing

Optimize VM CPU, memory, and storage allocation.

Automated Scaling & Load Balancing

Dynamically scale VMs based on workload demand.

Cost Reduction Strategies

Reduce licensing costs by consolidating VMs onto OpenShift.

Storage Optimization

Use persistent storage with OpenShift Data Foundation for enhanced performance.

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DevOps & CI/CD Integration

VMs in CI/CD Pipelines

Enable DevOps teams to deploy VMs as part of Kubernetes-native CI/CD workflows.

GitOps-Based VM Deployment

Manage VM infrastructure using ArgoCD and OpenShift GitOps.

Hybrid Workloads Support

Run containerized applications alongside virtualized workloads for greater flexibility.

Self-Service VM Provisioning

Empower developers with automated VM lifecycle management.

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Supported Workloads

Legacy Enterprise Applications Run traditional VMs alongside modern cloud-native workloads.
Hybrid & Multi-Cloud Deployments Manage workloads across AWS, Azure, GCP, and on-prem environments.
Dev/Test Environments Provide isolated VM instances for development and testing.
Database & Stateful Applications Support for high-performance databases and transactional applications.
AI/ML & Data Analytics Run AI workloads requiring GPU acceleration within virtualized environments.
Edge Computing & Telco Workloads Deploy virtualized network functions (VNFs) and telco applications.