📜  传统数据中心与软件定义数据中心的区别

📅  最后修改于: 2021-09-15 01:17:43             🧑  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。
数据中心以将数据存储在专用设施中而闻名。数据以数字方式存储,并且存储设施、服务器、计算机、防火墙和平衡器等元素与之相连。数据中心非常需要存储、处理和传播数据和应用程序。为了在不丢失数据的情况下存储数据并在必要时检索数据,数据中心非常重要。

1. 传统数据中心:
数据中心技术专业人士面临着对处理能力日益增长的需求。在传统数据中心中,网络硬件的限制不允许存储、用户内容服务和身份验证所需的可扩展性。传统数据中心面临着各种难以处理和操作流程的问题。相比之下,处理和调试数据是一个省时的过程。

2. 软件定义数据中心:
SDN 技术与“软件定义数据中心 (SDDC)”虚拟化模式和结构相结合。有了SSDC,传统数据中心的这些缺点都得到了解决。 SDDC 使用云存储和虚拟化技术以优化的方式生成数据。当 IT 大幅增加时,移动性和多功能性需要得到加强。为了使设备智能化,这项技术已经过优化。就技术而言,未来几年它肯定会更高。

传统数据中心与软件定义数据中心的区别:

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