{"id":58673,"date":"2023-07-24T08:00:54","date_gmt":"2023-07-24T15:00:54","guid":{"rendered":"https:\/\/phisonblog.com\/?p=58673"},"modified":"2025-07-21T17:53:10","modified_gmt":"2025-07-22T00:53:10","slug":"how-hyperscalers-can-maximize-data-storage-capabilities","status":"publish","type":"post","link":"https:\/\/phisonblog.com\/zh\/how-hyperscalers-can-maximize-data-storage-capabilities\/","title":{"rendered":"\u8d85\u5927\u89c4\u6a21\u4f01\u4e1a\u5982\u4f55\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u6570\u636e\u5b58\u50a8\u80fd\u529b"},"content":{"rendered":"

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Data is being generated at a crazy pace today. Over the last decade, the rate of data generation has grown exponentially. It\u2019s not just humans creating all of this data, but also software and machines that \u201cautomatically\u201d create data as a byproduct of artificial intelligence. .<\/p>\n

It is estimated that there are already about 50 zettabytes (ZB) of data accumulated<\/a> in storage systems around the world right now \u2013 and we\u2019re on track to generate 460+ exabytes (EB) of data every day by 2025.<\/p>\n

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Source: <\/em>Raconteur<\/em><\/a><\/p>\n

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Thankfully, compute and storage systems have kept up with this explosion in data. Today, massive amounts of data are stored and managed in cloud systems across the world. And \u201chyperscaling\u201d is where manufacturers of cloud computing hardware integrate large-scale data processing.<\/p>\n

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What are hyperscalers and what do they do?<\/h3>\n

Hyperscale computing is the ability of an architecture to scale up or down quickly in response to increases and decreases in user traffic and demand. \u201cHyperscalers\u201d are service providers with data center resources who offer compute, storage, memory, networking, application and database capabilities in the form of cloud services to large numbers of customers. They typically run large distributed or grid computing environments from which they provision these resources to their customers\u2019 nodes.<\/p>\n

In alphabetical order, Alibaba, Apple, Amazon, Facebook, Google, IBM, Microsoft, and Oracle are some of the biggest Hyperscalers out there.<\/p>\n

Essentially Hyperscalers manage the physical infrastructure, operating systems and large-scale application software while the end user gets virtual instances in the form of Software as a Service (SaaS), Platform as a Service (PaaS) or Infrastructure as a Service (IaaS).<\/p>\n

Hyperscalers bring global business consulting and IT outsourcing solutions to organizations of all sizes. They enable businesses to migrate legacy IT environments to the cloud, and build and use technology stacks for faster and efficient execution of business workloads. These technology stacks can comprise hybrid architectures (a combination of on-premise data centers and private, public or hybrid cloud systems<\/a>) that run macro and microservices as well as cloud-native applications.<\/p>\n

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Read: How Data Growth Impacts Enterprise Storage<\/div><\/div><\/div><\/div><\/div>\n

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Software-defined storage (SDS): The solution to hyperscale storage requirements<\/h3>\n

Hyperscalers can\u2019t simply buy storage from enterprise storage vendors. The diversity of their needs can\u2019t be met by traditional storage technology \u2013 they need automation, virtualization and self-service features on a scale that even the best hardware struggles to match, or is too expensive to order from off-the-shelf components.<\/p>\n

The solution that the first of these Hyperscalers (Amazon, Facebook, Microsoft and Google) came up with was software-defined storage (SDS) \u2013 an agile, cost-effective infrastructure solution that took automation to the next level and allowed them to handle large data volumes successfully.<\/p>\n

But what is SDS? Gartner defines it as a system that abstracts software from the underlying storage hardware and provides a common management platform for data services across a heterogeneous or homogeneous IT infrastructure.<\/p>\n

By decoupling software from hardware, Hyperscalers attempt to lower costs \u2013 they are able to use commodity components that conform to industry standards and assemble them in data center racks.<\/p>\n

Since the defining feature of SDS is its unified control and management plane, it prioritizes reliability and availability over performance in some cases. This means that Hyperscalers need some very specific capabilities from the system:<\/p>\n