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Cloud centers solutions

Cloud data centers (also known as cloud computing data centers) store IT infrastructure resources that can be shared by a large number of customers, from dozens to millions, via the Internet.

Many of the largest cloud data centers, known as hyperscale data centers, are operated by major cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud, Microsoft Azure, and Oracle Cloud Infrastructure. In reality, most major cloud providers operate many hyperscale data centers throughout the world. Cloud service providers typically maintain smaller, edge data centers that are closer to cloud customers (and their consumers). Edge data centers can assist in reducing latency in real-time, data-intensive workloads like big data analytics, artificial intelligence (AI), and content delivery applications, hence increasing overall application performance and user experience.

Architecture of data centers

Most modern data centers, including in-house on-premises data centers, have transitioned from traditional IT design, in which each application or task operates on its own dedicated hardware, to cloud architecture, in which physical hardware resources (CPUs, storage, and networking) are virtualized. Virtualization frees these resources from their physical constraints and pools them into capacity that may be dispersed across several workloads and applications in whatever quantities are needed.

Virtual also enables software-defined infrastructure (SDI), infrastructure that can be deployed, configured, run, maintained, and ‘spun down’ programmatically, with no human involvement.

The combination of cloud architecture and SDI provides numerous benefits to data centers and their customers, including the following:

  • Optimal use of computing, storage, and networking resources: Virtualization allows businesses or clouds to offer the greatest number of customers while using the least amount of hardware and underutilized or idle capacity.
  • Applications and services can be deployed quickly: SDI automation makes supplying new infrastructure as simple as submitting a request through a self-service interface.
  • Scalability: Virtualized IT infrastructure is considerably more scalable than traditional IT infrastructure. Even enterprises with on-premises data centers can increase capacity on demand by bursting workloads to the cloud as needed.
  • A diverse range of services and data center solutions: Companies and clouds can provide customers with a variety of ways to consume and provide IT, all using the same infrastructure. Workload demands drive the selection of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). These services can be provided in a private data center or via cloud solutions in a private, public, hybrid, or multi cloud environment.
  • Cloud-native development: Containerization and serverless computing, along with a strong open-source ecosystem, enable and expedite DevOps cycles, application modernization, and develop-once-deploy-anywhere programs.