At the same time, we also saw in the appendix of the 50174 standard, "A real-time intelligent management system should be adopted" for the A-level data center standard. This recommendation of the standard has made us see that for the management of data center infrastructure, intelligent management is undoubtedly the future development trend.
At present, real-time intelligent management systems have been adopted in financial data centers, and their infrastructure has been intelligently managed. This article is under the current circumstances, the experience of intelligent infrastructure management systems in practice After a certain analysis and summary, the author hopes that through the description of this article, the reader can have a deeper understanding of the functional positioning and application of the real-time intelligent management system in the data center process management, and then through multiple perspectives, can Establish a more comprehensive understanding of the intelligent management system and enable the intelligent management system to exert its due effectiveness in the management of the data center.
This article will explore the following issues:
First, why the standard recommends the use of intelligent infrastructure management systems in Class A data centers? What is the starting point based on?
Second, what is the existing practice of intelligent infrastructure management system in the data center?
Third, what are the special functions of intelligent infrastructure management system in data center management?
At present, there have been many articles on the application of the intelligent infrastructure management system in intelligent buildings, but there is little introduction on how the intelligent infrastructure management system is applied in the data center. The author hopes that through some introductions in this article, the reader can be given a perspective to understand the differences between the management of intelligent infrastructure management systems in intelligent buildings and data centers.
Next, on the first question, let's take a look at the characteristics of financial data centers and their general management processes, so that we can understand why the standard recommends the use of real-time intelligent management systems in such data centers. It should be noted that the following summary and charts do not have a specific direction, but are based on our general experience in financial data centers, so this point needs to be reminded to the reader.
How financial data centers meet management challenges
The financial industry data center has its own characteristics, which are both universal and industry-specific. Generally speaking, financial data centers have long-term development, which leads to the need to constantly adjust themselves to adapt to changes in external environment needs. Due to this uncertainty, no doubt from the perspective of operation and maintenance management, how to pass high-efficiency Reaching a high-level service level has always been a huge challenge. So, what are the main features of financial data centers?
Characteristics of financial data center
Based on general experience, we have summarized the characteristics of the financial data center as follows:
1. Financial data centers generally have long-term construction and development, long-term operation and maintenance management, and the scale is getting larger and larger;
2. Various types of hardware equipment in the financial data center are very complete and continue to increase;
3. Various types of applications in the financial data center are particularly numerous and complex, and they change from time to time;
Why do you say this? Because financial data centers are generally under continuous construction, development and change in a long-term process, in this process, different periods have different platforms and equipment, and also established based on different platforms For various application systems, these heterogeneous, complex, and diverse systems, for operation and maintenance personnel, there have always been many complicated problems and challenges such as management, security, compatibility, and so on. This is also one of the main reasons for the need for intelligent management systems for the management of data center infrastructure.
Next, financial data centers are generally managed by process, so what is the process like?
General process of financial data center management
In the long-term operation and maintenance management, the financial data center already has a very perfect management structure and process. As shown in the following figure, it is a schematic diagram of a simple financial data center management architecture, which is for reference only. Generally, from the perspective of financial data center operation and maintenance, some management function teams are essential, such as maintenance support team, network team, mainframe team, platform operation and maintenance team, security audit team, etc., of course, there are more detailed divisions , This article does not discuss.
It can be seen from the above that through the clear division of functions of the management and maintenance structure, a standard management and operation workflow and emergency workflow are established. So how to manage the data center better and more efficiently? At present, the ISO 20000 standard is generally used as the framework to establish an IT service management system that conforms to ITIL "best practices". That is to provide efficient data center service levels to the outside world through the perfect integration of technology, process and personnel.
In the current common data center process operations we discuss next, there are some problems with the operation and maintenance management of infrastructure, and then we can know that these problems actually have potential risks. These issues are as follows:
1. At present, there is no applicable standard for the management and maintenance of data center infrastructure, especially wiring management;
2. At present, everyone is aware of the importance of data center infrastructure, but in the early stage of construction, it is difficult to consider the development and changes in the later stage. At present, we know that most data centers will undergo a major change within a few years of completion. The management pressure brought by this change is very huge, especially the wiring management. The current approach is generally not to move. If it must be changed, it is mainly added to the current system.
As mentioned above, we are all aware today that the large-scale, centralized and complicated financial data center brings great management challenges. This challenge is multi-faceted and multi-level, including infrastructure management challenges.
Application of Intelligent Infrastructure Management System in Data Center
Now that we have a preliminary understanding of the challenges we must face in financial data center management, then below, we need to understand what kind of help can intelligent infrastructure management systems provide for such management challenges?
General understanding of real-time intelligent wiring management system
Generally speaking, for the integrated wiring system of intelligent buildings, we believe that "the integrated wiring intelligent management system works at the physical layer, and usually the network management software works at the network layer. It can tell the network administrator that the logical link is faulty, but it cannot tell the network management. This is precisely one of the functions of the intelligent wiring system. The intelligent wiring system can provide end-to-end link connections of the wiring system in real time, accurately and conveniently, and monitor its status in real time, and automatically update and record all Information files into the database, saving operational complexity and improving management efficiency. "
In view of the above understanding, readers may have doubts. In the data center, these functions may not be useful. If it is true, then why should the data center adopt an intelligent cabling management system? To answer this question, you must first understand the above. An analysis should say that this understanding is not comprehensive, because the real-time intelligent wiring management system, its main concept is: "visual + knowledge + control". How to understand this concept? "Visible" means to establish a visual infrastructure management system through software and hardware combined with a wiring system. "Knowledge" means to help managers establish the overall concept of infrastructure because they can be seen intuitively. "Control" means that due to the concept of a complete infrastructure, through process operation, human errors are avoided, thereby greatly improving management efficiency, providing high-quality services for front-end users, and finally achieving the goal of reducing management operating costs .
In summary, for the intelligent management of data centers, there are many related software systems on the market, but generally for multi-vendor equipment platforms of data centers, including servers, network equipment, etc., so that operation and maintenance management personnel Can conduct audits to ensure safety, etc. The main difference of the "real-time intelligent management system" is: firstly, it is based on the establishment of intelligent patch panel software and hardware platforms, and secondly, it provides a set of real-time visual management tools for physical layer infrastructure through the interaction of software and hardware systems. Finally, based on the above two points, a physical layer infrastructure management process (electronic work order system) was established on it. This is the fundamental difference of the real-time intelligent management system.
The following table is taken from "Data Center Cabling System Design and Construction Technical White Paper". This table summarizes the differences between the management functions of pure software and hardware and software platforms.
Wiring management (pure) software intelligent electronic wiring management system
System composition software software + hardware
System data establishment Manual entry Manual entry + system automatic identification
Wiring connection change record, manual record, real-time automatic identification afterwards
No fault recognition
No data automatic after system failure recovery
Generate link reports including devices
Equipment query function
Query and report functions are available
No network and terminal equipment management
Work Order Process Manually Generated and Recorded Manually Generated and Recorded
Graphical interface is there
Related floor plans are
According to the comparison of the table, the same is the work order process, although they are manually created through software, but because the intelligent management system has the cooperation of the hardware platform, the execution of electronic work orders can be guided by the operation of the intelligent hardware platform And there are complete records of planned and unplanned operations, which makes the management based on electronic work orders can be well integrated into the process management, which is impossible for pure software systems.
Below, we further illustrate through an example:
Process integration of intelligent wiring management system
The first step is to define the operators of the intelligent infrastructure management system: it generally involves four types of personnel, network engineers, network supervisors, field operators, and IT auditors.
The second step is to enter the process operation.
The third step, after the process operation, which relevant personnel can obtain the required information and reports from the intelligent infrastructure management system? As shown in the following table, there are undoubtedly many functions and information that can help managers to make them From passive to active, from complex table management to intuitive database management, from unplanned operations to planned operations.
Server group cabling management group network group desktop management group
Support local electronic work order available resource information via SMS and Email alerts (new and old machines, number of devices)
CAD and cabinet layout drawings The latest CAD database capability planning capability planning
Cabinet capacity planning tracking information IP / MAC address information equipment history (mobile, last online time, etc.)
IP / MAC address information Cabinet and floor capacity management equipment locate IP / MAC address information
Device location: Floor information point VLAN used by terminal device View device location
The real-time alarm of the key port on the service patch panel used by the server has been used by the switch port of the network card
Support tracking MAC report every month
Equipment history records (mobile, last online time, etc.) in use patch panel port capacity report
Switch port already used by the network card
Virtual server visualization
Functions of the data center of the real-time intelligent wiring management system
Of course, in addition to the above functions, the current intelligent infrastructure management system combines the electronic distribution frame system, and also provides many management functions specifically for the data center, such as:
Server deployment function-that is, for the commonly used servers in the data center, the system establishes a template, and the functions provided through electronic work orders and services make the deployment of the data center server intuitive, visual, convenient, and simple;
Cabinet capacity management-This feature allows managers to manage the installation space capacity and power supply capacity of each cabinet in the data center, so that when the server is deployed, it can immediately determine the available cabinets and the best deployment location.
As mentioned above, there are many advanced functions in data center management. Since they are not the focus of this article, they will not be repeated here.
Conclusion
Today, the data center in the IT industry is a hotspot, so there are many hotspots in the data center, such as green, energy saving, virtualization, intelligence, efficiency, etc. At the same time, how to deal with the challenges of managing complex large data centers should also be It is our concern, which is also discussed in this article. Due to the limited knowledge of the author, there are many mistakes in the article. Experts are welcome to criticize and correct. In addition, the author is willing to provide a perspective and share a little experience for readers who have interest and research in this area.
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