Support distributed enterprise with Cloud consolidated storage

Source: Internet
Author: User
Keywords Hardware so that you can
Tags access array backup based based on the cloud block caching class

Cloud storage or cloud consolidation storage (CIS) Converts the hardware devices that are actually needed for data storage to cloud computing so that they can be accessed by a new class of storage controllers or cloud gateways. Such gateways have built-in encryption and WAN optimization capabilities, essentially local storage caching.

In the internal systems of the data center, cloud gateways look like traditional storage controllers and provide a typical mid-range array performance. Gateways support the integration of the same file and block-level protocols into the same directory and name services. The goal is to fully conform to the slots of traditional storage controllers and to bring cloud-based scalability to the data center at the same time.

Unlike traditional storage controllers, the gateway has no capacity limitations, no secondary backup or disaster recovery systems, making them ideal for rapid deployment to many locations. At the same time, you can access data sets stored in the cloud from multiple locations to create a truly global file system that facilitates the collaboration of multiple teams. Ease of deployment across multiple locations, combined with absorptive capacity, makes cloud consolidation storage sufficient to replace traditional hardware-based storage.

Hardware-centric End

CIS not only changes the storage of the data center, but also transfers the control of the data center from the hardware to the cloud. Each hardware unit becomes a system access point. Makes the data completely separate from the hardware. This allows the data volumes to be stored in the cloud instead of residing in a particular device. Hardware devices are no longer the center of the Hardware data center storage area.

This transition has taken place without the need to deal with heavy workloads. Enterprises in rich software that are services (SaaS), such as Salesforce, Workday, and Marketo, are designed to completely transfer software and hardware stacks to clients. Companies should be prepared to drive all workloads out of the infrastructure of SaaS.

Outsource those complex but ultimately common software features, such as sales management, human resources, or marketing automation, which allows the enterprise to centralize resources in specific business functions, thereby creating maximum value.

While data-intensive applications are often specific industries, the infrastructure needed to drive these applications: Configuring capacity, Backup, and replication-is very similar in every industry. This allows the IT infrastructure to move significantly towards the next streamlined data center.

Hardware is still necessary to provide cloud-based storage, but data is no longer subject to hardware constraints. The hardware needs to be strong enough to handle heavy workloads and to have enough local storage to handle the working set, and the data is actually changing, but not the entire dataset.

Addressing capabilities that are larger than the physical storage capacity of the hardware enable administrators to provide capacity on demand for any location. The cloud serves as an extensible back-end cloud gateway that looks like a bottomless storage system. The amount of data in the cloud does not even have the actual limit of capacity, number of files, or number of snapshots. Administrators can allocate hundreds of TB of additional storage capacity without the need to change the terminal physical system.

Due to data de-duplication and large back-end cloud storage, CIS retains an unlimited number of snapshots without any impact on storage performance or usage. This means that the final snapshot eliminates the need for backup because access to the data can be restored from different locations, including the cloud itself, which can lead to simpler, more powerful disaster recovery plans.

The risk of data loss is limited to the time periods in which synchronization data changes to the cloud. Also, in most systems, these intervals can be set to only 1 minutes. CIS enables traditional storage controllers to dive into storage pools, absorb the entire dataset of the enterprise, and become a single namespace without any capacity constraints: including file count, TB level, or even file system snapshots.

Storage issues remain a challenge because data does not stop growing. The need to support storage in many places makes the problem more complicated. In a distributed enterprise, the growing number of overrun data has the best plan to simplify storage costs.

Unlike the traditional hosting model, CIS leverages the functionality of the software and the huge size of the public cloud storage providers to reduce costs. Not only can the storage capacity cost be reduced by 30% to 50%, but the unlimited on-demand capacity makes the budget more predictable and closely tracks actual storage utilization. CIS found the need to add more hardware to store more data to address the root causes of storage challenges. Lower-cost and more predictable new economic models enable CIOs in the enterprise to better manage it budgets.

Enlightened IT companies will still go through the implementation of the relevant strategy toward the refined data center. Each application can be fully outsourced to drive the data center toward a pure SaaS model. The storage infrastructure is a logical next step.

CIS uses hardware to support heavy workloads while transferring the functionality of the storage infrastructure beyond the data center. Once the hardware encounters the bottleneck of being eliminated, the background of the scale challenge will make the enterprise focus on the decision-making aspects that really affect the business.

The logical location of the

data will never change, even when the data needs to be accessed from a new location or at an updated hardware endpoint. This is the fundamental difference between CIS and traditional storage. Enterprise CIOs can gain complete central control over a highly distributed infrastructure and predictable cost model to understand the storage that is actually available.

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