COVID-19: Critical business support and our focus on employee health. Learn More

The Raritan Blog

Traditional Data Centers Must Adapt If They Are To Survive

Posted on February 25, 2019 by Jessica Ciesla

Since their inception, data centers seem to have been in a near constant state of evolution. As we approach the end of another decade, the next evolution cycle is nearing, and with it, traditional data centers must grapple with emerging technologies, environmental concerns, and ever-increasing costs. In fact, a recent Gartner study revealed that traditional data centers will turn to Artificial Intelligence (AI) and machine learning to combat the array of challenges that are looming. To support this claim, the study further suggested that approximately 30 percent of traditional data centers will fail to implement machine learning solutions, which will result in their failure by the year 2020.

The above statement might seem like it caters to a pessimistic's dark and gloomy mentality; but the reality is quite the opposite. Each day there is a surge in the amount of data that is used by traditional data centers throughout the globe. As these surges increase, traditional data centers will eventually become too bogged down to produce efficient outputs. Instead of going the way of the dinosaurs, traditional data centers can instead drive operational efficiencies and lower costs by choosing to implement the right monitoring technologies in tandem with machine learning solutions.

Enjoy The Numerous Benefits Of Server Optimization In Traditional Data Centers

One of the potential downfalls of the traditional data center is its physical servers and storage equipment. The latter entities must be properly maintained, which is not only a time consuming but a potentially expensive task. Fortunately, AI-based predictive analysis can be used by data center managers to more effectively distribute workloads across the various servers. Through the proper workload distribution, servers can not only operate at higher efficiencies, but data center loads will be easier to predict and subsequently manage. When data center managers can more readily track server performance, network congestion, and disk utilization, they will be able to optimize server storage systems to reduce risks, lower costs, and effectively increase efficiencies.

Machine Learning Coupled With PX Intelligent Rack PDUs Leads To Intelligent Monitoring

Machine learning has the unique capability of helping IT professionals more efficiently complete their daily IT monitoring tasks. By incorporating copious amounts of data, machine learning solutions can more accurately predict when a machine is close to failing.

An intelligent rack PDU provides power monitoring at the PDU and individual outlet level. It is also systematically designed to provide user defined threshold alerts. These alerts ensure that data center mangers can effectively monitor the entire data center from either an off-site or on-site location. Whether a device needs to be powered on or off, or an environmental sensor is triggered by overheating, intelligent PDUs coupled with machine learning solutions can help data center managers more effectively manage the entire data center in real-time.

The Bottom Line: Machine Learning Can Only Be Embraced With The Right Data Center Tools

If data center managers want to enjoy greater financial benefits and higher operating efficiencies, then machine learning and AI must be carefully balanced with the right data center tools. In this vein, if the statistics from the latest Gartner study come to fruition, then data center managers should carefully watch the machine learning space as they seek to identify new ways to improve traditional data centers. In addition to machine learning solutions, intelligent PDUs offer the insights needed to balance power usage, save energy, avoid server crashes, and assist with the proper allocation of resources. In short, by accurately identifying opportunities to grow, analyzing risks, and implementing technological solutions that increase operational efficiencies, traditional data centers will successfully ride out the next evolution cycle.

To learn more about how machine learning, AI, and power monitoring solutions can be effectively leveraged within traditional data centers, check out our website here
 

Other Blog Posts

The New Dominion LX II: Why You Should Trade Up
Posted on April 2, 2020
Coronavirus Remote Management Checklist
Posted on March 18, 2020
The New Dominion LX II: Java-Free KVM-Over-IP for SMBs
Posted on February 5, 2020
Dominion KX IV-101 Newest Firmware Update
Posted on December 17, 2019
Rack PDUs Outlet Density and Types
Posted on November 14, 2019

View all Blog Posts

Subscribe


Upcoming Events

2020 DoDII Worldwide
August 2–5  •  Phoenix, AZ
AFCOM Data Center World 2020
August 24–27  •  San Antonio, TX
DCD NY 2020
September 1–2  •  New York City, NY
Critical Facilities Connect 2020
September 14–15  •  Charlotte, NC
Spiceworld 2020
September 15–20

View all Events

Latest Raritan News

Raritan Introduces Economical New Generation KVM-Over-IP Switch and Serial Access for SMBs
Posted on March 2, 2020
Extended IT rack power mapping possibilities with Raritan’s locking solution
Posted on October 23, 2019
Raritan Ranked as the Global Leader in KVM-over-IP Switches
Posted on October 21, 2019
Raritan’s New KVM-over-IP User Station Brings 4K Performance and Productivity to Remote Equipment Access
Posted on September 18, 2019
Raritan’s New 4K Ultra HD KVM-over-IP Switch Wins Best of Show Award at NAB
Posted on May 21, 2019

View all news