Data Center Assessment
Before improving efficiency, organizations need to understand what infrastructure actually exists and how it is being used.
First Step: Take Stock
Before improving efficiency, organizations need to understand what infrastructure actually exists and how it is being used.
In many environments, that understanding is incomplete.
Nearly every data center of any size contains systems that are no longer doing meaningful work. These “ghost systems” may have been deployed for temporary projects, left behind after migrations, or kept running simply because no one is certain what depends on them.
Over time, they accumulate.
They consume power, generate heat, occupy space, and add to operational complexity—all without delivering meaningful value. They can also introduce risk.
Untracked or poorly understood systems often represent blind spots in the environment. They may not be patched, monitored, or secured properly, creating potential security vulnerabilities.
This is where assessment comes in.
The goal is to establish a clear, current view of:
- what infrastructure exists
- how it is being used
- what is idle, underutilized, or no longer needed
This baseline is essential. Without it, efforts to improve efficiency are often misdirected, addressing visible problems while leaving hidden inefficiencies untouched.
What Assessment Reveals
A thorough assessment can uncover:
- Idle or abandoned systems consuming power and cooling capacity
- Underutilized infrastructure that can be consolidated or repurposed
- Shadow IT and unmanaged systems outside standard processes
- Bottlenecks and imbalances in how resources are being used
- Security gaps created by untracked or poorly maintained assets
In many cases, simply identifying and removing unused systems can free up significant capacity. How much? In a large data center, an assessment accompanied by a rigorous 'right sizing' and decommissioning of unnecessary systems, could result in 15-20% reduction in footprint or power consumption - or both. That's a big deal.
Tools for Data Center Assessment
There is no single tool that provides a complete view of the environment.
Instead, organizations typically rely on a combination of tools that operate at different levels of depth:
Network Discovery
These tools scan the network to identify connected devices and map basic topology.
They provide a fast way to answer:
- What is on the network?
- Where is it located?
They are often the starting point for initial assessments, especially in environments where visibility is limited.
Asset Discovery and Inventory
These tools build a more complete picture of the environment by identifying hardware, software, and system configurations.
They track:
- servers, storage, and networking equipment
- installed software and services
- changes over time
This layer provides a more accurate and continuously updated inventory of the infrastructure.
Infrastructure Discovery and Dependency Mapping
These tools go deeper, mapping relationships between systems, applications, and services.
They can show:
- how systems interact
- which workloads depend on which resources
- how failures or changes might propagate
This level of insight is especially important in complex environments where dependencies are not well understood.
These approaches are not theoretical. They are implemented through a range of tools and platforms used in real-world environments.
The table below highlights representative vendors and solutions across each level.
Assessment Scope | Company/Organization | Platform/Tools | Additional Details |
Network Discovery | Auvik | Automated network discovery and topology mapping (scroll down past annoying trial ad to see product details) | |
Network Discovery | OpenNMS Group | Network discovery and monitoring across large environments | |
Network Discovery | runZero | Agentless network discovery with strong visibility into unmanaged devices, security-centric | |
Asset Discovery & Inventory | Lansweeper | Continuous asset discovery and inventory across IT environments | |
Asset Discovery & Inventory | ServiceNow | Enterprise-scale asset discovery and configuration management | |
Asset Discovery & Inventory | Flexera | Asset discovery, inventory, and software usage tracking | |
Infrastructure Discovery & Dependency Mapping | Device42 | Deep infrastructure discovery with dependency mapping, also data center infrastructure management | |
Infrastructure Discovery & Dependency Mapping | Dynatrace | Full-stack discovery with automatic dependency mapping, broad and deep | |
Infrastructure Discovery & Dependency Mapping | Datadog | Infrastructure visibility with service mapping and dependency tracking | |
Infrastructure Discovery & Dependency Mapping | Virtana | Infrastructure visibility, dependency mapping, and performance analytics across hybrid environments. Modular solution. |
When to Use Each Approach
Initial assessments are typically the most complex.
In environments with limited visibility, organizations often start with broad discovery tools to establish a baseline, then move to deeper analysis to understand dependencies and usage patterns.
Over time, the focus shifts.
Once a baseline is established, ongoing assessments are less about discovery and more about detecting and tracking changes:
- new systems appearing
- old systems becoming idle
- usage patterns shifting
This turns assessment into a continuous process rather than a one-time exercise. It isn't something that is done once and forgotten.
As workloads evolve and infrastructure changes, new inefficiencies emerge.
Maintaining visibility over time allows organizations to:
- identify issues earlier
- respond more quickly
- and maintain a more efficient, secure, and manageable environment