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    Data center management

    Data center, a home to data that helps in storing critical information and making it accessible anytime and anywhere. Organisations today understand the importance of data centers as the world increasingly moves to the web and user’s demand for quick information begins to rise. Therefore, it has become crucial for every business to increase agility, provide up-to-date information while assessing their infrastructure requirements. 

    However, many issues can arrive in the data center and this can disrupt the day-to-day functioning of an organization which can lead to huge loss of revenues and time. This is where data center management comes in. 

    It is the management of these key resources(data center) to ensure it is functioning optimally and efficiently in order for users to assess critical when required. That is why organisations are making data centers a priority and they sometimes manage directly or automate it. Whatever the case, herewith is  Hashan Kodituwakku, an IT expert with decades of experience in the field to shed more light on what data management is all about and the 3 major phases. Keep reading!

    What is data center management?

    Data center management refers to a team of experts vested with the responsibilities of managing large data sets, processes, services and every other thing related to data centers. It includes managing large amounts of data, equipment’s, software, as well as protection and security of the data. 

    Years ago, data centers were something performed by inhouse employees. However, with the advancement in technology, various tools are available to automate tasks. This way, organisations can save energy and hiring costs while preventing unnecessary manual tasks and human errors. Moreover, data center can be managed remotely which reduces the number of in-house employees and sometimes this task can be outsourced. 

    What are the 3 major phases of data center management?

    For your data centers to be well-managed, it has to go through these 3 processes from conception to completion. This include:

    Monitoring: 

    This process involves the visualization of what is to be accomplished. The aim is to ensure projects are aligned with the objectives and it is important to visualize the details across all systems, locations and the changes. This way, you can ensure all staff are on the same page and then, you plan how the execution will go while monitoring the progress. 

    Analyzing:

    At this stage you need to analyze the execution in order to save space and energy. You collect and analyze the space, power and capacity available in order to utilize the data center efficiently and ensure agile support and maintenance of IT services

    Automation:

    Data centers are interconnected and it is crucial to automate the layers in order to synchronize management silos, network, process and IT hardware. 

    What are the advantages of data centre management?

    Here, Hashan Kodituwakku provides important reasons why you should make data center a priority:

    • Allows faster and better change management process
    • Efficient utilization of space and resources
    • Real-time tracking of critical asset and infrastructure. 
    • Cost savings with cloud service, reduced risk and greater energy efficiency. 
    • Exposing previously underutilized capacity
    • Promote ability to plan for future growth. 
    • Access different areas with the data center that can provide opportunities for generation of revenue and partnership. 
    • Promote faster adoption of new equipment and deployment of new devices.
    • Easy integration of the entire infrastructure monitoring into a centralized system. 

    With all these benefits, data center management will be a smart move you can make for your business. The cost savings and boost in energy efficiency alone are enough reasons to make it the core of your business operations. And this is not only for larger companies, startups and mid-sized companies can also  employ data centre management to handle their critical data day-to-day hassles.

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