11th April 2025

Data Center Structure Design: Key Components and Considerations

Table of Contents

Learn the key components and considerations of data center structure design. gbc engineers shares expert insights for building efficient, future-ready facilities.

 

A Comprehensive Guide to Data Center Architecture and Engineering 

A data center is far more than just a building filled with servers. It is a highly engineered environment that combines data processing, cooling systems, energy efficiency, and intelligent space planning to securely host IT infrastructure. 

 

Modern data centers are complex ecosystems that support a wide range of services, including colocation, cloud computing, and enterprise operations. These facilities are designed to maintain optimal performance, scalability, and uptime through robust system integration and engineering precision. 

 

Understanding the structure of a data center is essential for developers, investors, IT planners, and engineering teams. This article explores the physical layout, core infrastructure components, and critical planning and design strategies behind today’s high-performance data centers. 

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The Functional Core: Compute, Storage, and Network 

At the heart of every efficient data center are three essential technology domains that drive performance, scalability, and sustainability: Compute, Storage, and Network. These elements must work in harmony with robust cooling systems, smart power and cooling strategies, and adherence to best practices to ensure reliable, energy-efficient operations — even during high-load scenarios or nights reserved for system maintenance. 

 

Compute 

This domain encompasses all servers responsible for running applications, managing workloads, and processing data. Designed for high-density environments, compute systems are typically virtualized and optimized to reduce energy use and improve hardware utilization. 

- Hyperconverged infrastructure (HCI)  

- Virtual machines and containers  

- High-performance computing (HPC) for AI or analytics  

Modern compute architecture increasingly aligns with renewable energy goals and automated orchestration tools to maximize uptime and minimize environmental impact. 

 

Storage 

Data centers must store both real-time and archival data using a blend of fast-access and high-capacity storage technologies. Balancing performance, redundancy, and energy efficiency is key to building sustainable, high-performing storage solutions. 

- Direct-Attached Storage (DAS)  

- Network-Attached Storage (NAS)  

- Storage Area Networks (SAN)  

- Flash (SSD) and disk-based (HDD) solutions  

Well-planned storage infrastructure ensures business continuity and seamless scaling of data services. 

 

Network 

Networking ensures seamless connectivity within the data center and to external cloud or enterprise environments.  

- Top-of-Rack (ToR), End-of-Row (EoR), or Middle-of-Row (MoR) switches  

- Core routers, aggregation switches, and firewalls  

- High-speed fiber optics (10G, 40G, 100G+)  

- Software-defined networking (SDN) and microsegmentation  

Efficient network design supports colocation, cloud interconnectivity, and scalable service delivery — all while aligning with the best architectural strategies and planning models. 

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Key Considerations in Data Center Network Architecture 

The network is the backbone of data center operations. Whether supporting cloud workloads, edge computing, or high-frequency trading, it must deliver high availability, low latency, and robust security measures—all while aligning with evolving sustainability and power usage efficiency goals. Below are the critical factors every data center designer and operator should prioritize: 

 

Redundancy and Resilience 

Redundancy ensures that no single point of failure disrupts operations, especially during critical maintenance windows or nights reserved for updates. 

- Network paths should be physically diverse (dual-homed or multi-path).  

- Device-level redundancy (e.g., dual power supplies, dual supervisors in switches).  

- Active-active or active-passive failover configurations.  

- Carrier diversity with separate entry points and providers to eliminate upstream failure risks.  

Goal: Maintain high availability and meet uptime targets such as Tier III (99.982%) or Tier IV (99.995%), while minimizing energy waste and redundant power usage. 

 

  

Scalability and Traffic Management 

As data volumes grow, the network must handle both internal (east-west) and external (north-south) traffic efficiently. 

- Leaf-spine topology reduces latency and improves throughput between nodes.  

- Horizontal scaling allows for the seamless addition of compute or storage nodes.  

- Quality of Service (QoS) configurations manage priority traffic, ensuring VoIP, video, or real-time data isn't interrupted.  

- Use of high-throughput ports (10G/25G/40G/100G and higher), with support for auto-negotiation.  

Goal: Support seamless growth without major redesign or outages.  

  

 

Security and Segmentation 

In an era of increasing cyber threats, security measures must be foundational, not an afterthought. From protecting personal data to safeguarding mission-critical workloads, a layered approach is essential. 

- Virtual LANs (VLANs) and VRFs isolate tenants or applications.  

- Micro-segmentation with firewalls or software-defined policies enforces granular control between workloads.  

- Zero Trust Architecture (ZTA) requires continuous authentication and limits internal trust relationships.  

- Intrusion Detection/Prevention Systems (IDS/IPS) and Next-Generation Firewalls (NGFWs) for real-time threat mitigation.  

Goal: Minimize attack surfaces while enabling secure multi-tenant or hybrid environments.  

 

  

Automation and Orchestration 

Modern data centers rely heavily on automation for efficiency, speed, and reduced human error.  

- Software-defined networking (SDN) decouples the control plane from the hardware, enabling programmable management.  

- Network orchestration tools (e.g., Ansible, Terraform, Cisco ACI) automate provisioning, policy enforcement, and updates.  

- Integration with DCIM (Data Center Infrastructure Management) tools for end-to-end visibility.  

Goal: Enable agile operations and rapid deployment in DevOps or hybrid cloud environments.  

  

 

The Importance of Structural Engineering in Data Center Design 

While IT systems are the stars of the show, the building’s structural integrity and layout determine how those systems function under real-world demands — especially when supporting complex cooling systems and diverse energy sources. 

At gbc engineers, we specialize in the structural design of data centers across Europe and Southeast Asia, supporting leading developers with:  

- Optimized load-bearing systems for heavy IT, MEP, and rooftop equipment  

- Efficient vertical and horizontal cable routing  

- Design for phased expansion and modular construction  

- Integration of structural and MEP coordination via BIM  

- Compliance with Tier standards (Uptime Institute), DIN, EN, and local codes  

Our portfolio includes more than 10+ mission-critical data center projects from Germany to Cambodia, enabling high-performance facilities to operate efficiently and grow flexibly.  

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Explore our services now: Services - gbc engineers 

  

 

Ready to Future-Proof Your Data Center

Partner with gbc engineers to design a facility that delivers performance, reliability, and long-term value.     

🌐 Visit: www.gbc-engineers.com     

  

In conclusion, a well-planned data center structure design goes beyond physical layout. By aligning network architecture with strategic goals, organizations can future-proof their operations.  

 

At gbc engineers, we deliver network-ready designs that power the data centers of tomorrow.