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Ideally, the data center provider would have API access to the infrastructure, enabling it to inter-operate with public clouds so that customers could migrate data or workloads from cloud to cloud. \r\nTypical high availability architecture includes application servers with apps replicated multiple times. The applications in this scenario are virtualized in every application delivery controller. This architecture supports high availability and performance necessities. However, high efficiency may not be supported in this model, as the resources provisioned for each app is not efficiently reallocated to the other apps.\r\nAn automation architecture based on server virtualization requires images to be created and software to be installed in each physical server in order to support automated provisioning of applications through VM images. Additional storage in case of server virtualization or OS virtualization incurs additional costs. While server virtualization deploys applications across all usable resources, OS virtualization stores them locally. In case of OS virtualization, however, not only is the application stored, but the application server and the virtual image are also stored.\r\nIn order to reduce the impact on either of these methodologies, virtualization for data center automation in cloud computing can be used. Storage virtualization is the concept of amalgamating multiple storage networks into a single storage unit. Usually, the storage unit is managed and utilized with the help of software, making the storage software-defined. Virtualization obfuscates the storage systems used, making any kind of storage network be part of the virtualized environment. Virtualization of data center automation makes such tasks as backup, archiving, and recovery easier and faster.\r\nData center automation is immensely valuable because it frees up human computational time and: \r\n<ul><li>Delivers insight into server nodes and configurations </li><li>Automates routine procedures like patching, updating, and reporting </li><li>Produces and programs all data center scheduling and monitoring tasks </li><li>Enforces data center processes and controls in agreement with standards and policies </li></ul>","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: bold; \">Why Data Center Automation Is Important?</span></h1>\r\nAutomation is drastically changing the IT scene. Almost 40% of technology professionals recently surveyed claim to employ automation services in some or the other capacity. This includes automating data centers. Automation of virtual data centers provide numerous benefits.<br />Unavoidable repetitive tasks are a cause for many errors in a traditional environment. This can be wiped out with the implementation of automation. Automation also frees up critical time of IT team and lets them invest time in more value adding tasks. This leads to a responsive business, thus accelerating time-to-market for IT services. Virtualized data centers reduce configuration issues by maintaining consistent systems across the data center. Like most automated processes, it minimizes risk.\r\n<h1 class=\"align-center\">What are the automation and orchestration layers?</h1>\r\n<span style=\"font-weight: bold;\">Server layer.</span> There are systems now available which take almost all of the configuration pieces out of deploying a server. Administrators only need to deploy one server profile and allow new servers to pick up those settings. More data centers are trying to get into the cloud business. 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Ideally, the data center provider would have API access to the infrastructure, enabling it to inter-operate with public clouds so that customers could migrate data or workloads from cloud to cloud. \r\nTypical high availability architecture includes application servers with apps replicated multiple times. The applications in this scenario are virtualized in every application delivery controller. This architecture supports high availability and performance necessities. However, high efficiency may not be supported in this model, as the resources provisioned for each app is not efficiently reallocated to the other apps.\r\nAn automation architecture based on server virtualization requires images to be created and software to be installed in each physical server in order to support automated provisioning of applications through VM images. Additional storage in case of server virtualization or OS virtualization incurs additional costs. While server virtualization deploys applications across all usable resources, OS virtualization stores them locally. In case of OS virtualization, however, not only is the application stored, but the application server and the virtual image are also stored.\r\nIn order to reduce the impact on either of these methodologies, virtualization for data center automation in cloud computing can be used. Storage virtualization is the concept of amalgamating multiple storage networks into a single storage unit. Usually, the storage unit is managed and utilized with the help of software, making the storage software-defined. Virtualization obfuscates the storage systems used, making any kind of storage network be part of the virtualized environment. 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