Solutions for Biotech Startup IT Problems – Part 2
July 27, 2020Best Practices for Building a Data Center – Part 2
August 5, 2020The data center has become an increasingly important component of modern companies. The chief goal of data center design is meeting an organization’s business and technical requirements.
An additional objective of data center design is optimizing IT resources, which will decrease operational expenses, generate more revenue, increase efficiency, and reduce environmental impact. In order to achieve optimization, methods for improving cooling systems, energy efficiency, infrastructure, and use of space are also being sought to maximize performance.
Below is a discussion of three best practices of data center design that help optimize IT resources and maximize performance. They will also help organizations future proof their data centers, allowing greater flexibility and scalability as business conditions evolve over time.
Modular Solutions
Modern data centers must have the capability of adapting to new technologies and meeting a company’s business requirements. Data centers should be able to deploy swiftly, minimize costs, and efficiently perform MACs (moves, additions, and changes). What makes this possible is structured cabling.
A balanced approach should be taken for infrastructure development and expansion Just the necessary equipment should be installed, scaling to the needed size. As it expands, infrastructure needs to continue supporting the typical topologies. Modular solutions like MoR (middle of racks), EoR (end of racks), and ToR (top of racks) help make this possible.
In addition to customization and standardization benefits, modular solutions also provide flexibility and scalability. This approach conserves time and effort, easing projects that involve expansion.
Using modular solutions allows data center elements and associated devices to collaborate with each other. A company will also be capable of adjusting and revising its network infrastructure for technology upgrades, while avoiding significant disruptions.
Part 2 will discuss Performance Emphasis and Space Usage.
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