Datacenter service providers currently face a confluence of challenges, which require that they adapt and modernize to cope with upcoming requirements of their principal customers. These include the growth and proliferation of new compute-intensive and storage-intensive workloads and applications, such as those that leverage AI. They also include applications whose viability and success depends on the ability to process application data in real-time. Examples include customer service chatbots, manufacturing quality inspection, and machinery maintenance.
While a growing number of service providers need to be able to support applications with more demanding compute and storage requirements, many also face the need to handle ever larger volumes of data from a range of sources. These include operational data related to things such as customer orders and transactions, business performance metrics such as data from their organization's own IT systems, and data that is specific to the performance of consumer and business applications.
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