Bridging the gap between IoT and Asset Management
By Sean Gately
TL;DR: Data centers evolved from simple mainframe housing to complex ecosystems requiring sophisticated infrastructure management. The microcomputer explosion of the 1980s created the need for dedicated IT teams and the foundations of DCIM practices. As client-server applications, the dotcom boom, and software-as-a-service drove growth, data centers needed integrated monitoring of power, cooling, and environmental systems. DCIM emerged to provide holistic operational visibility, enabling organizations to reduce power costs, prevent outages, and maximize efficiency through real-time data from all infrastructure components.
Where Did Data Center Infrastructure Management Begin?
Data centers have come a long way since their origins housing large Electronic Numerical Computers for the United States Army’s artillery tracking. The need to isolate and care for complex electronic equipment and wiring is as entrenched in the data center’s DNA as the need to monitor and analyze this expensive equipment. Innovation within data centers has been a core tenet of data center management since the beginning.
How Did the Microcomputer Explosion Shape DCIM?
The push for innovation increased dramatically after the microcomputer explosion of the early 1980s. As personal computers became normalized in business, the need to manage these new assets drove the creation of dedicated IT teams and the very beginnings of data center infrastructure management (DCIM) practices. 
As servers came on board to manage application and information sharing, coupled with the software industry’s push for client-server applications, data centers became increasingly important for networking, resource sharing, outage prevention, and productivity. Workers moved from independent client software (constantly at risk of data loss) to shared data models with centralized, safer structures.
Why Did Growing Complexity Require New Management Approaches?
This new direction created demand for larger electrical systems to power the growing ecosystem of critical equipment, as well as dedicated computer room devices such as air conditioners, centralized power distribution units, and cooling architecture. Facilities vendors needed ways to stitch together a diverse set of machinery whose purpose was keeping operations running, leading to computer-based control systems for facilities and IT operations.
This centralized networked connectivity and data sharing began to shape the modernized data center, requiring organizations to rethink their strategy for systems management and how they would deploy, analyze, and manage such a diverse ecosystem and the data it creates.
How Did the SaaS Era Intensify Data Center Demands?
The dotcom boom and the shift to software-as-a-service pushed the drive for larger data centers that could reliably store and manage more physical assets controlling an ever-increasing scale of responsibility. This became even more critical as traditional installed customer software and services became hosted, utilizing the same equipment and facilities previously isolated for internal use.
How Did DCIM Emerge to Address These Challenges?
The need for machines to intercommunicate and relay operational information became the foundation of modern DCIM. Data centers consume enough power to run a small town, incurring significant costs and failure risks. DCIM led the way for software to help organizations see their entire operational deployment holistically for the first time.
With DCIM, companies gained the ability to reduce power costs while ingesting key operational information to prevent outages and maximize efficiency. Seeing device location while monitoring internal operational data was a benefit. Monitoring all equipment for cost savings and preventing outages before they happen was a game changer.
Continued, In an IoT World
Frequently Asked Questions
What is DCIM and why was it created?
Data Center Infrastructure Management (DCIM) is the practice and software discipline of monitoring, managing, and optimizing data center physical infrastructure, including power distribution, cooling, environmental conditions, and asset location. It was created as data centers grew too complex for manual management, requiring integrated visibility across diverse IT and facilities systems.
How did the evolution of computing drive DCIM development?
As computing evolved from mainframes to microcomputers to client-server architecture to SaaS, data centers grew dramatically in scale and complexity. Each generation required more power, cooling, and physical infrastructure, eventually outstripping manual management capabilities and necessitating automated DCIM solutions.
What role did the dotcom boom play in data center complexity?
The dotcom boom and the shift to software-as-a-service dramatically increased data center scale by centralizing previously distributed applications and services. This concentration of critical systems required larger electrical and cooling facilities and created a much more diverse ecosystem of equipment to monitor and manage.
How does DCIM reduce data center power costs?
DCIM reduces power costs by providing visibility into actual power consumption at the device, rack, row, and facility level. This data enables operators to identify inefficiencies, eliminate waste from idle equipment, optimize cooling distribution, and make informed capacity planning decisions that avoid unnecessary infrastructure spending.
What is the difference between data center monitoring and DCIM?
Data center monitoring typically refers to tracking individual metrics (temperature, power, alerts) from specific devices. DCIM is a comprehensive discipline that integrates monitoring with asset management, capacity planning, workflow automation, and analytics to provide holistic operational intelligence across the entire data center infrastructure.