WO2021174684A1

WO2021174684A1 - Cutover information processing method, system and apparatus

Info

Publication number: WO2021174684A1
Application number: PCT/CN2020/091866
Authority: WO
Inventors: 郑永全
Original assignee: 网宿科技股份有限公司
Priority date: 2020-03-05
Filing date: 2020-05-22
Publication date: 2021-09-10
Also published as: CN111478792A; CN111478792B

Abstract

Disclosed are a cutover information processing method, system and apparatus. The method comprises: acquiring cutover information, and according to the cutover information, determining a target edge server affected by cutover; identifying the impact type corresponding to the target edge server, and with respect to the target edge server, executing a strategy that matches the impact type; and once cutover is complete, detecting whether the target edge server has normal service performance, and according to the detection result, determining whether alarm information is issued. In the technical solution provided by the present application, the cutover information may be automatically processed, thereby reducing a large amount of labor costs.

Description

Method, system and device for processing cutover information

Technical field

The present invention relates to the field of Internet technology, and in particular to a method, system and device for processing cutover information.

Background technique

The current content delivery network (Content Delivery Network, CDN) contains a large number of edge nodes. When maintaining these edge nodes, frequent node cutovers are usually required. Node cutover can refer to operations such as network migration or network changes to the lines and equipment being used, which may directly affect the services carried on the corresponding nodes. Due to the large number of edge nodes, the workload of node cutover is also considerable.

Currently, the node cutover operation is usually scheduled in the early morning. During the cutover process, the affected edge node may need to be shut down and restarted, and after the restart, the services on the edge node may not operate normally. In view of this, the current node cutover usually requires professional management personnel to watch. Obviously, such a method will invest high labor costs, and there is an urgent need for an automated node cutover system.

Summary of the invention

The purpose of this application is to provide a method, system and device for processing cutover information, which can automatically process cutover information, thereby saving a lot of labor costs.

To achieve the foregoing objective, one aspect of the present application provides a cutover information processing method, the method includes: acquiring cutover information, and determining a target edge server affected by the cutover according to the cutover information; identifying the target edge The impact type corresponding to the server, and a strategy that matches the impact type is executed for the target edge server; after the cutover is completed, the service performance of the target edge server is checked whether the service performance is normal, and an alarm is determined according to the detection result information.

In order to achieve the foregoing objective, another aspect of the present application also provides a cutover information processing system, the system includes: an information acquisition unit for acquiring cutover information, and determining targets affected by cutover according to the cutover information Edge server; a policy execution unit, used to identify the impact type corresponding to the target edge server, and execute a strategy matching the impact type for the target edge server; a detection unit, used to detect after the cutover is completed Whether the service performance of the target edge server is normal, and judging whether to send out alarm information according to the detection result.

In order to achieve the above objective, another aspect of the present application also provides a cutover information processing device. The cutover information processing device includes a memory and a processor. The memory is used to store a computer program that is processed by the computer program. When the device is executed, the above-mentioned cutover information processing method is realized.

It can be seen from the above that the technical solutions provided by one or more implementations of this application can obtain current various types of cutover information, and then analyze the obtained cutover information, so as to identify targets affected by the cutover based on the cutover information Edge server. There are many reasons for the cutover during the cutover process, so the impact on the target edge server may also be different. In view of this, the impact type corresponding to the target edge server can be identified, so that the corresponding strategy can be executed on the target edge server according to the identified impact type. After the cutover is completed, the target edge server can continue to provide services. At this time, it is possible to detect whether the service performance of the target edge server is normal, and determine whether to issue an alarm message according to the detection result. According to the above technical solution, the cutover information can be automatically processed, and corresponding strategies can be executed for the target edge server affected by the cutover, and the service performance of the target edge server can be detected after the cutover is completed. Manual maintenance is required only when the alarm information is received, which can save a lot of labor costs.

Description of the drawings

In order to more clearly explain the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings needed in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

Figure 1 is a step diagram of a cutover information processing method in an embodiment of the present invention;

2 is a flowchart of a method for processing cutover information in an embodiment of the present invention;

3 is a schematic diagram of functional modules of a cutover information processing system in an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of a cutover information processing device in an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the specific implementation manners of the present application and the corresponding drawings. Obviously, the described implementations are only a part of the implementations of the present application, rather than all of the implementations. Based on the implementation manners in this application, all other implementation manners obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

This application provides a method for processing cutover information, which can be applied to a central server of a CDN, and the central server can obtain various information in the CDN. For example, you can obtain cutover information, cluster user information, node information of each edge node, and so on. In addition, the method can also be applied to an independent device in the CDN. The device can perform data interaction with equipment in the CDN, so as to obtain the aforementioned cutover information, cluster user information, and node information of each edge node.

Please refer to FIG. 1 and FIG. 2. The cutover information processing method provided by an embodiment of the present application may include the following multiple steps.

S1: Obtain cutover information, and determine a target edge server affected by the cutover according to the cutover information.

In this embodiment, various types of cutover information in the CDN can be periodically acquired. In practical applications, the cutover can originate from different cutover initiators. For example, the cutover initiator may be a network operator, a network operation computer room, a network administrator, and a computer room device administrator. Generally speaking, the cutover information can have a fixed information format. For example, the cutover information may include cutover start time, cutover end time, cutover reason, cutover impact range, cutover impact type, and cutover impact duration. Of course, in actual applications, one or more of the above-mentioned information may be included in the cutover information according to different application scenarios. Among them, the cutover information can be classified according to the cutover reason. Generally, the cutover reason can include: equipment power cutover, network cutover, cabinet relocation cutover, etc. The scope of cutover can refer to the entire node, some servers, some cabinets, or some IP addresses that are affected by the cutover. The types of cutover impacts can be classified according to the actual network transmission quality. For example, cutover impact types can include increased packet loss rate, increased delay, network interruption (including device shutdown), and no network impact. Generally speaking, the impact duration of cutover is often less than the time difference between the cutover end time and the cutover start time. For example, the cutover start time is 0 o'clock, and the cutover end time is 6 o'clock, but the actual cutover impact time may only be 2 hours. The extra time can be the time required to deal with unexpected situations, and after the cutover is completed The time required for debugging.

In this embodiment, the cutover information may have a fixed format. Therefore, various fields in the cutover information can be identified through text analysis, so that the above-mentioned information in the cutover information can be parsed. Among them, according to the cutover impact range, the names of the nodes affected by this cutover can be known. Generally speaking, an edge node can be regarded as a server cluster. The edge node can contain multiple edge servers. After the name of the node affected by the cutover is known, the target cluster to which the cutover information points can be determined. The target cluster can then be the edge node corresponding to the node name. Then, according to the cutover reason and/or cutover impact type in the cutover information, it can be determined whether the cluster service in the target cluster is affected by the cutover. Generally speaking, if this cutover causes shutdown, network abnormalities (such as increased delay, increased packet loss rate, etc.) or network interruption to the virtual machines in the target cluster, it can be considered that the cluster service is affected. If the cluster service of the target cluster is affected by the cutover, the target edge server affected in the target cluster can be further determined. During the cutover process, all edge servers in the entire target cluster may not be affected. Only the IP addresses in some network segments or servers in some cabinets or servers under some switches may be affected. Therefore, after it is clear that the cluster service of the target cluster is affected, the cluster user information and cutover information can be combined to further determine the target edge server affected by the cutover and identify the target customer to which the target edge server belongs.

In one embodiment, the IP address of the virtual machine affected by the cutover can be identified from the cutover impact range of the cutover information, and then the host machine corresponding to the IP address of the virtual machine can be identified in combination with the cluster user information. Specifically, the cluster user information may be obtained from the management system of the target cluster. The cluster user information may include the node name of the target cluster, the virtual machine IP address corresponding to the customer, and the host machine IP address corresponding to the virtual machine IP address. In this way, after the IP address of the virtual machine affected by the cutover is identified, the host machine corresponding to the IP address of the virtual machine can be identified according to the cluster user information, and the host machine can be used as the target edge server affected by the cutover. In addition, the client corresponding to the virtual machine IP can also be determined according to the cluster user information, and the client can be the target client to which the target edge server belongs.

S3: Identify the impact type corresponding to the target edge server, and execute a strategy matching the impact type for the target edge server.

In this embodiment, according to the description of step S1, the cutover information and cluster user information can be combined to determine the time period affected by the cutover, and certain target edge servers of some customers affected by the cutover can be determined . For this part of the target edge server, the impact type corresponding to the target edge server can be identified based on the reason for this cutover. Specifically, the impact type corresponding to the target edge server can be consistent with the cutover reason. For example, the reasons for cutover can include equipment power cutover, network cutover, and cabinet relocation cutover. Then the impact type corresponding to the target edge server can also include equipment power cutover, network cutover, and cabinet relocation cutover. Of course, in practical applications, the cutover reason may include one or more of the above examples, and the corresponding impact type may also include one or more of the above examples. In actual applications, for different impact types, the strategies implemented on the target edge server may also be different. Specifically, for equipment power cutover and cabinet relocation cutover, it is usually necessary to shut down the involved equipment to complete the cutover process. For network cutover, the cutover process can often be completed when the device is online. At this time, there is no need to shut down the involved device, but only to send a cutover notification to the device or the client to which the device belongs. In view of this, the reason for this cutover can be determined according to the current cutover information, so that the type of impact corresponding to the target edge server can be identified. Later, if the impact type is power cutover of equipment or cabinet relocation cutover, the target edge server may be shut down. And if the impact type is other impact types than equipment power cutover and cabinet relocation cutover, the operation of sending a cutover notification may be performed for the target edge server. Of course, for the target edge server that performs the shutdown operation, it also needs to perform the operation of sending the cutover notification.

In this embodiment, regardless of whether the target edge server is shut down, a cutover notification can be sent to the target edge server. The cutover notice can include the time node that the cutover notice was sent, the name of the cutover node, the cutover start time, the cutover end time, the cutover impact type, the cutover impact range, the cutover impact duration, and the cutover affected time. The affected IP list and other information. Of course, in practical applications, the cutover notification may contain one or more of the above information. Among them, the time node for sending the cutover notification can be determined according to the actual situation. Generally speaking, in order to prevent customers from being affected by the cutover, a cutover notice can be sent 48 hours (or 48 working days and hours) before the cutover starts. The reason for the processing here is that before the cutover is executed, there is a cutover cancellation or cutover change. In order to avoid changing or canceling the cutover after the cutover notice is issued too early, it will cause unnecessary trouble to the customer. Set the notification time to 48 hours before the cutover start time. If the cutover is required within 48 hours before the cutover start time, you can immediately send a cutover notification to the customer. After receiving the cutover notification, the customer can determine whether the business on the target edge server needs to be backed up based on the various information contained therein. For example, if a customer's business on the target edge server is sensitive to the packet loss rate, if the cutover notice indicates that the cutover will cause the packet loss rate to increase, then the customer can back up the business on the target edge server . And if the cutover notice only indicates that this cutover will only increase the delay, then there is no need to back up the business on the target edge server. Among them, the standby service can refer to the suspension of the service on the target edge server. If there are other available nodes, the service on the target edge server will be backed up to other available nodes. If there are no other available nodes, only the service on the target edge server will be suspended. .

S5: After the cutover is completed, detect whether the service performance of the target edge server is normal, and determine whether an alarm message is issued according to the detection result.

In this embodiment, when the cutover is completed, the target edge server may complete the restart or receive a cutover notification. At this time, in order to ensure that the target edge server can provide services normally, it can be detected whether the service performance of the target edge server is normal. Specifically, a monitoring system can be deployed in the CDN, and the monitoring system can monitor the status of various services of edge nodes. If a service exception occurs in the edge node, then corresponding alarm data can be generated in the monitoring system, and the alarm data can be stored in the designated monitoring database of the monitoring system. In practical applications, the monitoring system may be a zabbix monitoring system, for example. After the cutover is completed, the alarm data of the query target edge server in the database of the monitoring system can be periodically obtained. If there is no alarm data of the target edge server, it can be determined that the service performance of the target edge server is normal. If there is corresponding alarm data, it can be determined that the service performance of the target edge server is abnormal.

In addition, a detection data packet can be transmitted between the target edge server and the virtual machine on the target edge server. If the detection data packet can be transmitted normally, it can be determined that the service performance of the target edge server is normal. . If the detection data packet cannot be transmitted normally, it can be determined that the service performance of the target edge server is abnormal. Specifically, PING (Packet Internet Groper) can be used to detect the IP address of the target edge server and the IP address of the corresponding virtual machine, if the detection result indicates the IP address of the target edge server and the IP address of the corresponding virtual machine If the communication between them is normal, it can be determined that the service performance of the target edge server is normal.

In this embodiment, if the service performance of the target edge server is abnormal, an alarm message can be sent to the corresponding administrator, so that the administrator can check the target edge server in a targeted manner, without the need to check the entire edge node . If the service performance of the target edge server is normal after detection, a notification of completion of the cutover can be sent to the client corresponding to the target edge server, and the current cutover process can be ended.

Referring to FIG. 3, an embodiment of the present application also provides a cutover information processing system, the system includes:

An information acquisition unit, configured to acquire cutover information, and determine a target edge server affected by the cutover according to the cutover information;

A policy execution unit, configured to identify the impact type corresponding to the target edge server, and execute a policy matching the impact type for the target edge server;

The detection unit is configured to detect whether the service performance of the target edge server is normal after the cutover is completed, and determine whether to issue an alarm message according to the detection result.

In one embodiment, the information acquisition unit includes:

A cluster detection module, configured to determine the target cluster to which the cutover information points, and determine whether the cluster service of the target cluster is affected by the cutover;

The device detection module is configured to determine the target edge server affected by the cutover in the target cluster according to the cutover information if the cluster service of the target cluster is affected by the cutover, and identify the target edge server to which the target edge server belongs Target customers.

In one embodiment, the strategy execution unit includes:

A shutdown operation module, configured to perform a shutdown operation for the target edge server if the impact type is equipment power cutover or cabinet relocation cutover;

The notification operation module is configured to perform a cutover notification operation for the target edge server if the impact type is other impact types other than equipment power cutover and cabinet relocation cutover.

4, this application also provides a cutover information processing device, the cutover information processing device includes a memory and a processor, the memory is used to store a computer program, when the computer program is executed by the processor , Can realize the above-mentioned cutover information processing method.

In this application, the memory may include a physical device for storing information, which is usually digitized and then stored in a medium using electrical, magnetic, or optical methods. The memory may also include: a device that uses electrical energy to store information, such as RAM or ROM, etc.; a device that uses magnetic energy to store information, such as hard disk, floppy disk, magnetic tape, magnetic core memory, bubble memory, or U disk; using optical mode A device that stores information, such as a CD or DVD. Of course, there are other types of memory, such as quantum memory or graphene memory.

In this application, the processor can be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or a processor and a computer-readable medium storing computer-readable program codes (for example, software or firmware) executable by the (micro)processor, logic gates, switches, special-purpose integrated Circuit (Application Specific Integrated Circuit, ASIC), programmable logic controller and embedded microcontroller form, etc.

It can be seen from the above that the technical solutions provided by one or more implementations of this application can obtain current various types of cutover information, and then analyze the obtained cutover information, so as to identify targets affected by the cutover based on the cutover information Edge server. There are many reasons involved in the cutover process, so the impact on the target edge server may also be different. In view of this, the impact type corresponding to the target edge server can be identified, so that the corresponding strategy can be executed on the target edge server according to the identified impact type. After the cutover is completed, the target edge server can continue to provide services. At this time, it is possible to detect whether the service performance of the target edge server is normal, and determine whether to issue an alarm message according to the detection result. According to the above technical solution, the cutover information can be automatically processed, and corresponding strategies can be executed for the target edge server affected by the cutover, and the service performance of the target edge server can be detected after the cutover is completed. Manual maintenance is required only when the alarm information is received, which can save a lot of labor costs.

The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the implementation of the system and the device, both can be explained with reference to the introduction of the implementation of the foregoing method.

Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention may adopt a form of a complete hardware implementation, a complete software implementation, or a combination of software and hardware implementations. Moreover, the present invention may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

The present invention is described with reference to flowcharts and/or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing equipment to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing equipment are generated It is a device that realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device. The device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment. The instructions provide steps for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

In a typical configuration, the computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include non-permanent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer readable media.

Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disc (DVD) or other optical storage, Magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or equipment including a series of elements not only includes those elements, but also includes Other elements that are not explicitly listed, or also include elements inherent to such processes, methods, commodities, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, commodity, or equipment that includes the element.

The above are only the implementation manners of this application, and are not intended to limit this application. For those skilled in the art, this application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the claims of this application.

Claims

A method for processing cutover information, characterized in that the method includes:

Acquiring cutover information, and determining a target edge server affected by the cutover according to the cutover information;

Identify the impact type corresponding to the target edge server, and execute a strategy matching the impact type for the target edge server;

After the cutover is completed, detect whether the service performance of the target edge server is normal, and determine whether to send an alarm message according to the detection result.
The method according to claim 1, wherein the cutover information includes at least one of cutover start time, cutover end time, cutover reason, cutover impact range, cutover impact type, and cutover impact duration. A sort of.
The method according to claim 1 or 2, wherein the determining the target edge server affected by the cutover according to the cutover information comprises:

Determine the target cluster to which the cutover information points, and determine whether the cluster service of the target cluster is affected by the cutover;

If the cluster service of the target cluster is affected by the cutover, determine the target edge server affected by the cutover in the target cluster according to the cutover information, and identify the target client to which the target edge server belongs.
The method according to claim 3, characterized in that, determining the target edge server affected by the cutover in the target cluster according to the cutover information comprises:

Identify the virtual machine IP address affected by the cutover from the cutover information, and identify the host machine corresponding to the virtual machine IP address according to the cluster user information, and use the identified host machine as the target affected by the cutover Edge server.
The method according to claim 1, wherein the impact type includes at least one of equipment power cutover, network cutover, and cabinet relocation cutover.
The method according to claim 1 or 5, wherein the execution of a policy matching the impact type for the target edge server comprises:

If the impact type is equipment power cutover or cabinet relocation cutover, perform a shutdown operation for the target edge server;

If the impact type is an impact type other than equipment power cutover and cabinet relocation cutover, a cutover notification operation is performed for the target edge server.
The method according to claim 6, wherein the cutover notification includes the time node at which the cutover notification is sent, the name of the cutover node, the cutover start time, the cutover end time, the cutover impact type, and the cutover At least one of the scope of impact, the duration of the cutover impact, and the list of IPs affected by the cutover.
The method according to claim 1, wherein detecting whether the service performance of the target edge server is normal comprises:

Query the alarm data of the target edge server from the designated monitoring database. If the alarm data does not exist, determine that the service performance of the target edge server is normal; if the alarm data exists, determine the service performance of the target edge server abnormal.
The method according to claim 1, wherein detecting whether the service performance of the target edge server is normal comprises:

A detection data packet is transmitted between the target edge server and the virtual machine on the target edge server. If the detection data packet is normally transmitted, it is determined that the service performance of the target edge server is normal; if the detection data packet is Normal transmission is not possible, and it is determined that the service performance of the target edge server is abnormal.
A cutover information processing system, characterized in that the system includes:

An information acquisition unit, configured to acquire cutover information, and determine a target edge server affected by the cutover according to the cutover information;

A policy execution unit, configured to identify the impact type corresponding to the target edge server, and execute a policy matching the impact type for the target edge server;

The detection unit is configured to detect whether the service performance of the target edge server is normal after the cutover is completed, and determine whether to issue an alarm message according to the detection result.
The system according to claim 10, wherein the information acquisition unit comprises:

A cluster detection module, configured to determine the target cluster to which the cutover information points, and determine whether the cluster service of the target cluster is affected by the cutover;

The device detection module is configured to determine the target edge server affected by the cutover in the target cluster according to the cutover information if the cluster service of the target cluster is affected by the cutover, and identify the target edge server to which the target edge server belongs Target customers.
The system according to claim 10, wherein the strategy execution unit comprises:

The shutdown operation module is used to perform a shutdown operation for the target edge server if the impact type is equipment power cutover or cabinet relocation cutover; and the notification operation module is used to notify the operation module if the impact type is equipment power cutover and cabinet relocation cutover. For other impact types other than cabinet relocation and cutover, a cutover notification operation is performed for the target edge server.
A cutover information processing device, wherein the cutover information processing device includes a memory and a processor, the memory is used to store a computer program, and when the computer program is executed by the processor, the The method described in any one of 1 to 9.