As discussed in Part 1, data center optimization can improve a company’s profitability by decreasing the costs for data security and IT infrastructure. Part 2 will cover Importance of Optimization, Finding the Best Approach, and Optimizing Architecture.

Importance of Optimization

The optimization of a data center should be a constant process. The objective is maintaining reliability and security, along with increasing performance and enabling scalability cost effectively.

There are essential optimization features, including environmental controls, robust security, and an uninterrupted power supply. In the meantime, IT infrastructure, staff, and facilities can be adjusted to cope with evolving business circumstances and objectives.

Finding the Best Approach

As determined by its current priorities and existing configuration, a data center can be optimized in a number of ways.

Efficiency can be improved by virtualization and building networks over data centers situated in different regions. In addition, a cloud model can raise efficiency without costs increasing. Moreover, competition in the cloud market results in more options and better offers.

Energy consumption can be optimized to decrease utility costs. Environmental control is required so a data center can maintain stability, which allows greater bandwidth. A company can also choose to remotely locate its data center in a region with a milder climate or less expensive electricity.

Improving data center costs and efficiency will require a careful assessment of the overall management of the data center. A variety of management platforms locate the crucial components of a data center within a single environment, providing greater clarity regarding improving resource allocation.

Optimizing Architecture

Effective data center optimization will result in a dependable platform that improves business performance. This can be accomplished without overextending a company’s budget. By selectively carrying out several optimization options, a company can significantly improve the performance and efficiency of its data center.

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