📜  传统数据中心与软件定义数据中心之间的区别

📅  最后修改于: 2021-08-27 05:27:51             🧑  作者: Mango

在进入软件定义数据中心(SDDC)之前,让我们了解什么是数据中心及其重要性。
众所周知,数据中心将数据存储在专用设施中。数据以数字方式存储,并且诸如存储设施,服务器,计算机,防火墙和平衡器之类的元素与之连接。数据中心非常需要存储,处理和分发数据和应用程序。为了存储数据并在必要时检索数据而不丢失数据,数据中心非常重要。

1.传统数据中心:
数据中心技术专业人员面临着不断增长的处理能力需求。在常规数据中心中,网络硬件的局限性不允许存储,用户内容服务和身份验证所需的可伸缩性。传统的数据中心面临着各种难以处理和无法通过该流程操作的问题。相比之下,处理和调试数据是省时的过程。

2.软件定义的数据中心:
SDN技术与“软件定义的数据中心(SDDC)”虚拟化模式和结构配对。使用SSDC,可以解决常规数据中心的这两个缺点。 SDDC使用云存储和虚拟化技术以优化的方式生成数据。当IT大量增长时,移动性和多功能性正在寻求增强。为了使设备智能化,已对该技术进行了优化。就技术而言,未来几年必定会更高。

传统数据中心和软件定义数据中心之间的区别:

Traditional Data Center Software Defined Data Centre
The scalability of conventional data centres is not permitted. SDDC is scalable, stable management of SDDC files.
It is a time efficient process to deliver and process the data. It uses virtualization to effectively supply the files.
It is associated with the components like: storage systems, servers, computers, firewalls, and balancers It is associated with the components like: storage, CPU and security which are virtualized and stored as a service.
Major benefits of the conventional data centres are:
  1. Maintenance,
  2. Availability,
  3. Managing electricity consumption,
  4. Using the Power,
  5. Backups of Data

The key advantages of the Software Established Data Center are:

  1. Save time,
  2. Flexibility and Agility,
  3. Analysis,
  4. Saving Costs,
  5. Reliability,
  6. Scalability
Conventional data centers and its technology ecosystem are difficult to handle if there is a fault in the device. It takes a long time to debug it out. SDDC is a virtual computer, which helps you to quickly locate and recover all items handled by the controller and missing data.
Traditional data centres will be run 24/7 to keep the data stored and available at all time:
  1. A wide footprint of thick data racks
  2. IP addresses (Static)
  3. Switches to the network
  4. Routers
  5. Firewalls
SDDC Virtualization Technology offers the ability to:
  1. Securely partition multi-tenant environments
  2. Easily transfer data from one virtual cloud to another
  3. Move knowledge processing from a strictly technological role to a company function
  4. Streamline updates, transfers, and deployments of repeatable procedures