Data centers come in various sizes and configurations. While not all of them can achieve hyperscale status, there are valuable lessons to be learned from hyperscale operators.
From efficiency and security to innovation and resiliency, hyperscale architectures offer insights that can be applied at smaller scales.
Let’s explore 5 key lessons that data centers can learn from hyperscale operators and how these lessons can improve operations and performance.
1. Embrace Elasticity and Scalability
Elasticity is the ability to add resources in near real time. It’s the fundamental aspect of every hyperscale architecture. While smaller-scale data centers may not have the same resources to deploy assets instantly, they can still leverage the concept of elasticity.
By adopting cloud services or optimizing internal hardware deployments, data centers can dynamically scale their resources to meet changing demands. This flexibility enhances efficiency, reduces waste, and improves overall operational agility.
2. Focus on Efficiency and Sustainable Practices
Hyperscalers prioritize energy efficiency and sustainable practices to optimize their operations. Data centers of all sizes can learn from this approach.
Evaluating hardware platforms for energy efficiency, optimizing power usage, and continuously assessing the most cost-effective solutions can lead to significant savings and a reduced environmental footprint. Embracing efficiency also means eliminating unnecessary power draw and ensuring hardware platforms are optimized for performance and energy consumption.
3. Innovate and Embrace New Technologies
Hyperscale operators are renowned for their innovative approaches to technology. Data centers should follow suit by embracing innovation and exploring emerging technologies.
By staying informed about industry advancements, participating in knowledge sharing, and fostering diverse perspectives within their workforce, data centers can drive innovation and identify opportunities for improvement. This can lead to breakthrough solutions that enhance performance, reliability, and cost-effectiveness.
4. Prioritize Security and Compliance
Security is paramount for hyperscale operators, and data centers can benefit from adopting similar principles. Applying a trust-no-one approach, implementing multiple layers of security, and regularly auditing and updating security configurations are crucial steps.
Ensuring compliance with industry standards and best practices helps protect data and instill confidence in clients. By investing in robust security measures, data centers can safeguard their infrastructure and the sensitive information they handle.
5. Embrace Automation for Enhanced Resiliency
Automation plays a vital role in hyperscale architectures. It improves resiliency and reduces the risk of human error. Data centers can harness automation to streamline workflows, enhance response times, and increase uptime.
Automated tasks, such as backups, storage provisioning, and workload management, improve operational efficiency and can save costs by optimizing resource usage. By adopting automation tools and practices, data centers can enhance their resiliency, improve scalability, and deliver better service levels to their customers.