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Avoiding Common Pitfalls: 9 Most Frequent Mistakes in Data Center Infrastructure and Operations

Contributor by Contributor
July 4, 2017
in Cloud, Tips
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In Brief
  • Data centers play a crucial role in supporting a plethora of mobile and data communication services.
  • In this modern era, where cloud computing and content delivery needs have seen a dramatic surge, data center operators must navigate the careful balance of efficient...
  • They need to master the arts of heat management and introduce greater flexibility in the entire data center architecture.

Data centers play a crucial role in supporting a plethora of mobile and data communication services. In this modern era, where cloud computing and content delivery needs have seen a dramatic surge, data center operators must navigate the careful balance of efficient and cost-effective infrastructure planning. They need to master the arts of heat management and introduce greater flexibility in the entire data center architecture.

However, this intricately structured environment can experience turbulence if led by untrained personnel who falsely believe that a single quality measurement approach can be applied universally across all data centers. This article forays into the most recurring mistakes committed by operators while devising the infrastructure and maintaining the operations of data centers.

**Mistake #1: Overlooking the Total Cost of Ownership**

An initial error arises during the planning stage, specifically the consideration of the data center’s total cost of ownership. It is essential for companies to compute the complete cost of managing the operations over a projected timeline, typically 5-7 years. This comprehensive forecasting should factor in the inevitable influences of time and technological advancements, such as increased energy-efficiency and connectivity. Ignoring these reality-based operation costs may plunge companies into losses, threatening their sustainability.

**Mistake #2: Cluttering the Data Center with Superfluous Components**

A data center does not need to accommodate every available networking component. This misconception can lead to unnecessary purchases, resulting in idling resources and overcrowded server rooms, elevating risks of eavesdropping, poor signal quality, or faulty connections. Embracing simplicity facilitates manageability and optimal functionality, achieved by incorporating only needful components.

**Mistake #3: Adopting a ‘One Size Fits All’ Mindset**

Every data center caters to varying needs, implying that a standardized design model cannot be readily replicated across all companies. Thus, resource planning should precede the actual design process. Flexibility emerges as a survival factor, allowing scope for upgrades and enhancements and ensuring the data center remains relevant over time.

**Mistake #4: Hiring Underqualified Workforce**

Entrusting the management of your valuable data center needs to the best personnel in the field. Saving on recruitment costs by hiring less competent talent can attract future customer dissatisfaction, compounded by unexpected downtimes and resource unavailability. Therefore, ensure you assign management duties to employees after rigorous training and assessment.

**Mistake #5: Downplaying the Value of Mock Drills**

Data centers must be available around the clock throughout the year. Achieving this requires preparing your workforce to swiftly respond to emergencies. Ignoring this aspect can devastate the management plan and trigger irreversible losses. Therefore, incorporate regular mock drills into your team’s training program.

Also worth reading
New York’s Data Centre Pause Shows AI Infrastructure Is Hitting Politics Google Breaks Ground On Its First Data Center In Sweden Meta Adopts Tesla’s Tent-Based Approach To Build Data Centres Africa Must Fix Power to Compete in the AI Data Centre Race Threats Rise Against Data Centers & Its Critical Tech Foundation Google Plans Texas Data Center That Relies Mostly on Air Cooling, Not Water

**Mistake #6: Prioritizing Irrelevant Technology**

Implementing shadow technologies is not only inappropriate but also expensive to rectify. For instance, the Docker system of management excels in storing core program files, while a fully virtualized operation system can expedite fastest access time and downloading speeds.

**Mistake #7: Indiscriminate Purchasing**

Avoid purchasing products solely for their advanced technological features. It is not uncommon to find a data center resembling a junkyard over time due to mindless buying, consuming valuable space and complicating integration procedures.

**Mistake #8: Overdependence on Specific Device Vendors**

Resistance to using devices adhering to open standards can lead to operational gridlocks. It is wise to follow public protocols to ensure a smooth management process.

**Mistake #9: Poor Communication Practices**

Data center operators should clearly communicate their functional requirements to stakeholders and end-users. In addition, operators should prefer simpler equipment plans that yield results with the least effort.

In conclusion, to pave the way for success, a data center needs to support easy operation protocols, open source, a flexible topology, and well-trained staff to maximize the potential of the adopted technology.

*About the Author:* Jason Wu, serving as the Chief Marketing Officer at Cozlink, is a veteran in the field of optical communication technology. With over three years of experience in tech news editing and reporting, Jason is constantly mapping out the intersection of digital marketing and ecommerce in the telecom technology landscape.

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