Data Center Infrastructure Management Software
Best Data Center Infrastructure Management Software include:
Microsoft System Center, Device42, PATCH MANAGER, CommScope iTRACS DCIM, Sunbird DCIM, Nlyte Data Center Infrastructure Management (DCIM), Lenovo XClarity, NETSCOUT nGeniusPULSE, Raritan Power IQ and Quanta Datacenter Manager (QDCM).
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What is Data Center Infrastructure Management Software?
Data Center Infrastructure Management (DCIM) is where the duties of the IT department and facilities management overlap, and DCIM Software contains the tools necessary for these duties. As businesses scale up in hardware, they need tools that track relevant information in their data centers such as power usage, cooling, and capacity usage. This data is often used for capacity planning, migration, or modernization. DCIM tools alert IT teams to potential issues in the data center, allowing for intervention before an outage occurs and impacts customers.
Beyond preventing disaster or downtime, data collected by DCIM software can be used for auditing and policy compliance ascertainment. Also, DCIM has evolved to accommodate the modern data center. This means it may also track cloud servers and assets, and software. This includes hypervisors and virtual machines (VMs), as well as potentially complex customer resource allocations and application mapping.
As businesses modernize, many DCIM software offer integrations with popular cloud providers in order to offer seamless management across a company’s hardware and cloud data centers. Despite this cloud integration, the focus of DCIM products is to monitor and maintain optimum performance of hardware in a dedicated data center or across data centers.
DCIM software provides centralized management of data center performance, as well as general data center modeling tools. Companies can use the real-time data provided by most DCIM software to effectively manage the capacity of company hardware and supporting infrastructure. DCIM also provides planning tools for expanding existing infrastructure as a business needs to scale.
Data Center Infrastructure Management Software Key Features:
- Hardware monitoring
- Temperature tracking and cooling management
- Cloud integration
- Alerting to potential issues e.g. temperature or capacity alerts
- Performance management
- Workflow management
- Capacity planning
- Change management
- Audits and reporting
- Data center device discovery
- Special support for data center equipment (e.g. chilled water system)
- Rack space planning and floor space management
- Graphical depiction for spatial / location data (e.g. rack height, cable placement)
- Connectivity analysis & management
- Network downtime or loss testing impact modeling
- Customer resource allocation tracking
- Dynamic power chain analysis and fault simulation
- Support for multiple communication protocols
- Energy cost and utilization analysis
- Configurable alarm threshold
- Tracking for physical, virtual, and cloud-assets
- KPI tracking including capacity, cost, cooling and connectivity
- Open API and software integrations for data sharing
Data Center Infrastructure Management Software Comparison
When evaluating Data Center Infrastructure Management Software, consider the following:
- Cloud Integration: If your business is seeking to migrate from hardware to hybrid or cloud-based data management, the ease with which your DCIM software allows you to manage data across hardware and cloud-based storage will be vital.
- Scalability: If you are planning on scaling up your hardware, a DCIM software that allows you to easily add new devices, sensors, racks, etc. is essential.
- Support across locations: If your business has hardware in multiple locations, it is vital that your DCIM software allow you to manage it all from one place.
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Pricing
Pricing for DCIM is highly variable based on each business’s unique needs and the amount of hardware in their data centers. DCIM software scales with the complexity of features desired, which corresponds to the complexity of the data center.
Simpler packages may supply only asset discovery and performance tracking. Configuration, patching, and software maintenance increase the cost of deployment. Pricing also scales directly with data center size. A larger number of assets (e.g. nodes, cabinets, cloud instances, virtual machines) means greater cost. Monthly or annual subscription-based licensing is common, rather than perpetual licensing.