Data center management is the collection of tasks performed by those responsible for managing ongoing operation of a data center. This includes Business service management and planning for the future.
Historically, "data center management" was seen as something performed by employees, with the help of tools collectively called data center-infrastructure management (DCIM) tools.
In science and reliability engineering, root-cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, rail transport, or nuclear plants), medical diagnosis, the healthcare industry (e.g., for epidemiology). Root-cause analysis is a form of inductive inference (first create a theory, or root, based on empirical evidence, or causes) and deductive inference (test the theory, i.e., the underlying causal mechanisms, with empirical data).
View the full Wikipedia page for Root cause analysisA data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems.
Since IT operations are crucial for business continuity, a data center generally includes redundant or backup components and infrastructure for power supply, data communication connections, environmental controls (e.g., cooling, fire suppression), and various security devices. Data centers are the foundation of the digital infrastructure that powers the modern economy, aggregating collective computing demands for cloud services, video streaming, blockchain and crypto mining, machine learning, and virtual reality. Large data centers operate at an industrial scale, requiring significant energy. Estimated global data center electricity consumption in 2024 was around 415 terawatt hours (TWh), or about 1.5% of global electricity demand. The IEA projects that data center electricity consumption could double by 2030. High demand, driven by artificial intelligence (AI) and machine learning workloads is accelerating the deployment of high-performance servers, leading to greater power density and increased strain on electric grids.
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