Data Center & Virtualization Management: End-to-End Automation and Cost Control in Your Virtual Infrastructure
Data Center & Virtualization Management is an integrated solution that automates the end-to-end management of cloud and virtual infrastructure services, providing organizations with operational efficiency and cost optimization. By centralizing and automating operations such as starting and stopping virtual servers, storage management, and network security, the module reduces human error, guarantees process continuity, and significantly lightens the workload of IT teams.
Flawless Performance and Transparency in Your Hybrid Infrastructure
Data Center & Virtualization Management consolidates the complex data center operations and virtualization architectures of enterprises into a single platform. Supporting a vast ecosystem ranging from virtualization environments like Proxmox and VCenter to cloud services, this solution automates manual resource provisioning, optimizes hardware utilization, and offers operational transparency through detailed performance reports. With its advanced integration capabilities, it enables you to execute both the technical and financial management of your IT resources with a data-driven strategy.
Benefits
• Operational Efficiency: Saves time by automating manual processes such as virtual machine (VM) management and storage configuration.
• Resource and Energy Optimization: Increases energy efficiency and reduces unnecessary usage by identifying and reallocating idle resources.
• Transparent Service Management: Facilitates the analysis of cost, performance, and capacity of services through real-time usage tracking and visual dashboards.
• Risk Reduction: Minimizes operational risks through automation scenarios that reduce human intervention and automatic fault detection mechanisms.
• Financial Visibility: Supports strategic decision-making processes with resource consumption metrics (CPU, RAM, Disk, Network), unpredictable costs, and performance data.
Features
• Service Management Automation: Automates the processes of starting, stopping, and taking snapshots of virtual machines; centralized management of network and storage configurations.
• Dynamic Resource Planning: Automatic balancing in IT resource allocation and proactive capacity planning capability.
• Transparent Service Tracking: Real-time resource consumption reports, user/customer-based service viewing, and monitoring of unplanned costs.
• Cost Optimization: Accurately predicts resource needs via historical data analysis and eliminates unnecessary license/hardware costs by identifying unused virtual machines.
• Advanced Job Tracking: Real-time operation monitoring (work orders, maintenance, backup processes) and exporting data in Excel/CSV format.
• Extensive Integration Ecosystem:
o Virtualization: Proxmox, VCenter, Oracle.
o Cloud & DR: FI Cloud IaaS, DRaaS, SAPaaS, BaaS.
o Security & Network: Fortigate, FWaaS, IPSaaS, WAFaaS, Sophos AV.
o Data & Monitoring: Ceph, Rapid7, Avantra.
Core Usage Layers
On-Premises
Centralized management of the virtualization infrastructure hosted in the institution's own data center.
• Full data sovereignty and low-latency access over the internal network.
• Full integration with corporate security and compliance policies.
• Highly efficient utilization of local hardware investments.
Cloud
Fully integrated, scalable, and flexible infrastructure management with cloud service providers.
• Real-time monitoring, reporting, and rapid resource allocation across multiple locations.
• Flexible capacity management with Backup, DRaaS (Disaster Recovery), and SaaS services.
• Hardware-independent architecture focused on operational continuity.
Hybrid Transition
Supports the gradual and secure migration of existing virtualization infrastructure to the cloud.
• Synchronized and seamless management for hybrid structures (e.g., local storage + cloud DRaaS).
• Secure migration scenarios that protect data integrity and service continuity.
Use Cases
Resource Management and Automation
Infrastructure processes operate according to predefined rules without human intervention.
• VM start/stop and resizing operations are automated.
• Resource distribution (Load Balancing) is dynamically adjusted based on usage intensity.
• Backup and snapshot operations are managed flawlessly via scheduled tasks.
Cost and Energy Optimization
The IT budget and energy consumption are kept under control through data-driven analysis.
• Unused (zombie) virtual machines or over-provisioned resources are identified and deactivated.
• Sustainable operations in the data center are ensured through server-based energy consumption reports.
• Future capacity planning is based on historical usage trends, preventing unnecessary investments.
Transparent Service Tracking
Resource usage can be billed on a unit, department, or customer basis.
• Detailed cost analysis of virtual resources (CPU, RAM, Disk, Network) used by each department.
• Operators monitor real-time infrastructure health via dynamic dashboards.
• SLA (Service Level Agreement) compliance is measured through uptime, transfer volume, and performance metrics.
Reporting and Integration
Management complexity is eliminated by monitoring different vendor products from a single center.
• End-to-end integration is provided with security and storage solutions like Rapid7, Fortigate, and Ceph.
• Critical operational data is exported to Excel/CSV formats for management presentations or external audits.