What are the characteristics of a cloud data center?

Standardization, high density, modularity, and centralized management are the four main characteristics of data center infrastructure in the cloud era.

1.Standardization. The new generation of data centers must use a variety of standardized components and comply with various international standards. This is the only way to ensure rapid deployment, such as containerized data centers, which have emerged in recent years, which can be built up in a matter of weeks.

2.High density. Cloud computing is a centralized deployment that supports high-load, blade servers in a limited space.

and other high-density equipment is an inevitable choice.

3.Modularization. For a data center to meet dynamic demand, it must be scalable. At the same time, in order to save investment, it is best to invest while growing, and modularity is the best choice. In addition, modularity improves reliability and saves power.

4.Centralized management. Traditional data center IT equipment and infrastructure are managed separately by different people. Typically, IT equipment is managed by the IT department, while infrastructure is the responsibility of the infrastructure department. This division of labor does not fit into the current needs of virtual machines.

For example, traditional IT management tools usually only care about whether there are suitable IT resources in the cabinet, but in fact, if the cooling capacity of a cabinet is insufficient, even if it has redundant computing power, it is not suitable for adding new loads.

Standardized, high-density, modular, and centralized management.

Cloud computing data center is a new type of data center based on cloud computing key jujube architecture, loose coupling of computing, storage and network resources, complete virtualization of various IT equipment, high degree of modularization, high degree of automation, and high degree of green energy saving.

Cloud data centers are characterized by a high degree of virtualization, which includes server, storage, network, and application virtualization, enabling users to call various resources on demand. The second is the degree of automation management, including the management of physical servers and virtual servers, the automation process management of related businesses, and the automatic management of customer service charges; Finally, green energy saving, cloud computing data centers meet green energy saving standards in all aspects, and the PUE value generally does not exceed that.

The difference between a cloud data center and a traditional data center is as follows:

First, the infrastructure of cloud data centers is more large-scale and standardized, which brings complexity to management.

Second, cloud data centers must adopt various virtualization technologies in order to save costs and realize more and more business.

The third major management difference is in automation.

In a cloud data center, how to efficiently manage such a large number of devices and applications when services need to be migrated, devices need to be uniformly configured, faults need to be checked and eliminated in a timely manner, and processes need to be tracked? Of course, this needs to be achieved by means of automation.

The advent of cloud data centers is undoubtedly a new development. In addition to features such as a high degree of virtualization, it also includes new technologies and products, such as low-power CPUs, solid-state drives, etc. It can be said that the cloud data center is the savior of the traditional data center. Annihilation Liangzhi.

Summary. Service chain technology will become mainstream in data centers based on SR, NSH, and traditional PBR technologies.

1. SR-based technology, whether it is SR-TE or SRV6, has the advantage that if the data center supports internal support, it can cooperate with the WAN, as if it can achieve flexible programmability and flexible deployment, and intelligent analysis and scheduling for network virtualization NFV, SR routing, VXLAN overlay, etc., surpassing the traditional routing and switching protocol, supporting business association capabilities and intelligent scheduling.

The advantages are still obvious, SR-TE is based on the WAN SDN solution.

2. NSH supports the service chain through a specific NSH (Network Service Header) header, which is more flexible.

NSH can extend packets to carry more service information and complete more complex service processing. It is highly extensible and can support the carrying of multiple business context information;

What are the mainstream data center cloud platform technologies?

Hello,Xiaodu serves you,What are the mainstream data center cloud platform technologies for you?

Service chain technology will become mainstream in the data center Based on SR, NSH, traditional PBR technology 1, SR-based technology, whether it is slow SR-TE or SRV6, the advantage is that if Senyin talks about the internal support of the data center can be coordinated with the WAN, it seems that it can achieve flexible programmability and flexible deployment, for network virtualization NFV, SR routing, VXLAN overlay and other intelligent analysis and scheduling, beyond the traditional routing and switching protocol, It supports business association capabilities and intelligent scheduling. The advantages of SR-TE are still obvious, and SR-TE's WAN SDN-based solution 2 and NSH support the service chain through a specific NSH (Network Service Header) header, which is more flexible. NSH can extend packets to carry more service information and complete more complex service processing. It has strong scalability and can support the carrying of multiple business context information;

3. The traditional PBR technology is characterized by maturity and simplicity, but the deployment is complex, and the PCL resource consuming PBR technology can configure different paths according to different services, but can only statically configure the user's business path, and the Minzu family can generally only roughly divide the user traffic based on APN, almost does not perceive the user, application and network information, and can only provide a limited service portfolio, and there are the problems of single spine business, inefficient network nodes and scalability problems. If you want to provide personalized services, network architecture adjustment is extremely complex, the integration cycle is long, and the cost is high, which will greatly increase network complexity and operating costs.

A data center is a network of devices that collaborate globally to transmit, accelerate, display, compute, and store data and information on the Internet infrastructure. Most of the electronic components in the data center are powered by low-DC power supplies.

The emergence of data centers has led to people's understanding from the quantitative and structural world to the uncertain and unstructured world, and it will gradually become a part of the modern social infrastructure like transportation and network communication, and then have a positive impact on many industries. However, the development of data centers should not only be based on experience, but also truly combined with practice, so as to promote the real value of data centers and promote rapid changes in society.

Data center is as important as human resources and natural resources, in the data center industry in the information age, only the large-scale and flexible use of data can better understand the data, and the use of data can promote the rapid and efficient development of China's data center industry, reflecting the great wisdom of national development. The generation of massive data has also promoted an important change in the collection and processing of information data, and enterprises have also moved from physical services to data services. The needs and concerns of the industry have also changed, the focus of enterprises has shifted to data, the computer industry has changed from the pursuit of computing power to data processing ability, the software industry will also change from programming-based to data-oriented, and the dominance of cloud computing will also change from analysis to service.

There are many advantages to using cloud deployments over traditional data centers, including:

Higher roll-up scalability: Cloud deployments can dynamically scale resources up or down based on demand, while traditional data centers may require large upfront purchases of hardware resources.

Higher availability: Cloud Department can use load balancing and redundancy technologies to ensure high availability of services, whereas traditional data centers can cause service disruptions at a single point of failure.

Lower costs: Cloud deployments can reduce costs by paying for resources, whereas traditional data centers require the purchase and maintenance of large hardware resources.

Faster deployment and iteration: Cloud deployments can quickly deploy and iterate on applications, while traditional data centers may require longer deployment and iteration cycles.

Better disaster recovery capabilities: Cloud deployments can use multi-geo backup and disaster recovery technologies to ensure data security, which traditional data centers may lack.

It means that the data center running on the cloud platform, the services have been migrated to the cloud, and the advantages over the traditional are: high availability, security, elasticity and so on.