CN115412553A - CMDB automatic configuration method based on distributed cloud platform - Google Patents
CMDB automatic configuration method based on distributed cloud platform Download PDFInfo
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Abstract
The invention discloses a CMDB automatic configuration method based on a distributed cloud platform, belonging to the field of CMDB dynamic discovery; the method is based on an SD-WAN network, a plurality of distributed cloud platforms are connected through configuration network gates and routes, CMDB data are dynamically acquired through a collector and an event center, automatic uploading of the CMDB data of the distributed cloud platforms is achieved through a message queue, and automatic CMDB configuration is achieved at a center end; the method is based on the SD-WAN network to communicate with the plurality of cloud centers, and the CMDB data is uploaded to the center end in real time, so that the CMDB of the distributed cloud is automatically discovered and configured, the problem of managing the CMDB data of the distributed cloud by a cloud service provider is solved, and the operation efficiency of the distributed cloud can be effectively improved.
Description
Technical Field
The invention discloses a CMDB automatic configuration method based on a distributed cloud platform, and relates to the technical field of CMDB dynamic discovery.
Background
Cloud computing is a novel computing and service mode, and provides various types of cloud services such as extensive computing, storage, databases, analysis, application programs and deployment to users in a pay-as-needed manner by establishing a computing resource sharing pool based on technologies such as distributed computing, parallel computing, grid computing and virtualization. The distributed Cloud is formed by distributing public Cloud services to different physical positions by a Cloud Service Provider (CSP), and the CSP is uniformly responsible for operation, administration, update and evolution of the Cloud services.
The CMDB stores and manages various configuration information of equipment in the IT architecture of the enterprise, is closely connected with all service support and service delivery processes, supports the operation of the processes, exerts the value of the configuration information and simultaneously depends on the related processes to ensure the accuracy of data.
In order to solve the problem of CMDB data synchronization of a distributed cloud platform, the invention provides a CMDB automatic configuration method based on the distributed cloud platform.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a CMDB automatic configuration method based on a distributed cloud platform, which adopts the following technical scheme: a CMDB automatic configuration method based on a distributed cloud platform is characterized in that an SD-WAN network is used as a basis, a plurality of distributed cloud platforms are connected through a configuration network gate and a route, CMDB data are dynamically acquired through a collector and an event center, automatic uploading of the CMDB data of the distributed cloud platforms is achieved through a message queue, and CMDB automatic configuration is achieved at a center end.
The nodes of the distributed cloud platform are communicated with the SD-WAN terminal through a gateway channel, and the configuration of the gateway channel specifically comprises the following steps:
a1, a gateway acts on a node of a local cloud center to realize that the local node has transparent access to an SD-WAN, and the local node can directly push CMDB data to a message queue;
a2, a gateway is added with a channel, a source address is a node of a local cloud center, a destination address is a message queue address, and the local node pushes CMDB data to a gateway side address, forwards the data by the gateway and sends the data to a message queue through an SD-WAN.
The message queue builds a Kafka cluster of three nodes based on Zookeeper.
The Kafka cluster specifically includes:
b1, the Kafka cluster of one node provides service at each 9092 port, and election of the Kafka node is controlled through the Zookeeper cluster;
b2, a Kafka cluster of one node deploys message producers in all cloud centers and deploys message consumers at the center ends;
and B3, the Kafka cluster of one node is connected to the DMZ host through the management network switch and the core switch, the DMZ host provides security protection and network isolation, and then the DMZ host is communicated with the SD-WAN terminal to access the SD-WAN network.
The message queue provides access service based on domain names, domain name resolution is configured on DNS of each center, and a producer and a consumer are connected with the message queue through the domain names.
The dynamic discovery of the CMDB specifically comprises the following steps:
c1, configuring a Collector through a Collector to actively collect required data information, and actively calling api of the Collector or periodically triggering a collection task to realize automatic collection of CMDB data;
and C2, passively receiving CMDB change information pushed by the Event center through the Event-Trigger Event monitor, and ensuring that the resource configuration data is real-time and effective through Event monitoring.
And storing the CMDB data, namely storing the acquired model data according to the classification of physical equipment, a platform component, a service component and a resource pool.
The producer and the consumer are both Java projects based on SpringBoot, and related programs are realized by introducing a Kafka related jar package.
The consumers are in a cluster mode, all consumer nodes form a same consumption group to subscribe the same message theme, consumption of the CMDB message is achieved, and CMDB data are stored in a central end database for being used by a central end.
The beneficial effects of the invention are as follows: the method is based on the SD-WAN network to communicate with the plurality of cloud centers, and the CMDB data is uploaded to the center end in real time, so that the CMDB of the distributed cloud is automatically discovered and configured, the problem of managing the CMDB data of the distributed cloud by a cloud service provider is solved, and the operation efficiency of the distributed cloud can be effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an overall network architecture provided by an embodiment of the method of the present invention; fig. 2 is a schematic diagram of a network structure from cloud center to SD-WAN according to an embodiment of the method of the present invention; FIG. 3 is a diagram illustrating a message queue architecture provided by an embodiment of the method of the present invention; fig. 4 is a schematic diagram of a detailed network structure of a message queue provided by an embodiment of the method of the present invention; fig. 5 is a schematic diagram of the overall architecture provided by the method of the present invention.
Detailed Description
The present invention is further described below in conjunction with the drawings and the embodiments so that those skilled in the art can better understand the present invention and can carry out the present invention, but the embodiments are not to be construed as limiting the present invention.
Example (b):
a CMDB automatic configuration method based on a distributed cloud platform is based on an SD-WAN network, a plurality of distributed cloud platforms are connected through configuration network gates and routes, CMDB data are dynamically acquired through a collector and an event center, CMDB data automatic uploading of the distributed cloud platforms is achieved through a message queue, and CMDB automatic configuration is achieved at a center end;
the general network architecture schematic diagram of the method is shown in figure 1, and based on SD-WAN network, each cloud center is communicated with each cloud center, each cloud center can push CMDB data to a message queue through SD-WAN, and a center end reads the CMDB data from the message queue and performs automatic configuration;
the schematic diagram of each cloud center accessing to the SD-WAN network is shown in fig. 2, and a node of the cloud center is communicated with an SD-WAN terminal through a gatekeeper channel to realize access to the SD-WAN network, wherein the gatekeeper of the cloud center is configured with two modes:
further, the nodes of the distributed cloud platform are communicated with the SD-WAN terminal through a gatekeeper channel, and the configuration of the gatekeeper channel specifically includes:
a1, a gateway proxies a node of a local cloud center to realize that the local node transparently accesses the SD-WAN, and the local node can directly push CMDB data to a message queue;
a2, a gateway is added with a channel, a source address is a node of a local cloud center, a destination address is a message queue address, and the local node pushes CMDB data to a gateway side address, forwards the data by the gateway and sends the data to a message queue through an SD-WAN;
as shown in fig. 3, the message queue architecture in this embodiment adopts Kafka as the message queue, and further, the message queue builds Kafka clusters of three nodes based on Zookeeper; further, the Kafka cluster specifically includes:
b1, the Kafka cluster of one node provides service at each 9092 port, and election of the Kafka node is controlled through the Zookeeper cluster; the high reliability of the message queue is ensured;
b2, a Kafka cluster of one node deploys message producers in each cloud center and deploys message consumers at the center end;
a schematic diagram of a message queue access SD-WAN network is shown in FIG. 4, wherein a Kafka cluster of a node B3 is connected to a DMZ host through a management network switch and a core switch, the DMZ host provides security protection and network isolation, and then is communicated with an SD-WAN terminal to access the SD-WAN network;
because the network from each cloud center to the message queue is subjected to network conversion for multiple times, in order to ensure the correct arrival of a data packet, the message queue provides access service based on a domain name, domain name resolution is configured in a DNS (domain name system) of each center, and a producer and a consumer are connected with the message queue through the domain name; the smooth production and consumption of the CMDB message are ensured;
the distributed cloud has numerous resources, so that a model is needed to abstract different types of resources, static characteristics, dynamic behaviors and constraint conditions of the resources are described on an abstract level, and an abstract framework is provided for information representation and operation of a database system; the relevance exists between different resources, and the relevance between models and the relevance between examples corresponds to the relevance in the cmdb, and the relevance information between the resources is very important for root cause analysis, monitoring alarm and information display, so the cmdb needs the topology management capability; the model needs to be instantiated to be meaningful, and the instance is actually existed, such as a host model and a real physical host, wherein the former is a model, and the latter is an instance; based on the requirements, the CMDB configuration management center provides functions of model management, topology management, instance management and the like;
further, the dynamic discovery of the CMDB specifically includes:
the method comprises the following steps that C1, required data information is collected actively through a Collector configuration Collector, api of the Collector is called actively, or collection tasks are triggered periodically to achieve automatic collection of CMDB data;
c2, passively receiving CMDB change information pushed by an Event center through an Event-Trigger Event monitor, and ensuring real-time and effective resource configuration data through Event monitoring;
further, storing the CMDB, namely storing the acquired model data according to physical equipment, a platform component, a service component and a resource pool; the overall architecture is shown in fig. 5, and the dynamic discovery and data storage of the CMDB are realized through the architecture.
Example two:
on the basis of the first embodiment, the method,
furthermore, the producer and the consumer are both Java projects based on SpringBoot, and related programs are realized by introducing a Kafka related jar package;
furthermore, the consumers are in a cluster mode, all consumer nodes form a same consumption group to subscribe the same message topic, the consumption of the CMDB message is realized, and the CMDB data is stored in a central end database for being used by a central end.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. The CMDB automatic configuration method based on the distributed cloud platform is characterized in that the method is based on an SD-WAN network, a plurality of distributed cloud platforms are connected through a configuration gateway and a route, CMDB data are dynamically acquired through a collector and an event center, the CMDB data of the distributed cloud platforms are automatically uploaded through a message queue, and the CMDB automatic configuration is realized at a center end.
2. The method as claimed in claim 1, wherein the nodes of the distributed cloud platform are connected to the SD-WAN terminal through a gatekeeper channel, and the configuration of the gatekeeper channel specifically includes:
a1, a gateway acts on a node of a local cloud center to realize that the local node has transparent access to an SD-WAN, and the local node can directly push CMDB data to a message queue;
a2, a gateway is added with a channel, a source address is a node of a local cloud center, a destination address is a message queue address, and the local node pushes CMDB data to a gateway side address, forwards the data by the gateway and sends the data to a message queue through an SD-WAN.
3. The method of claim 1, wherein the message queue builds a Kafka cluster of three nodes based on Zookeeper.
4. The method as claimed in claim 1, wherein said Kafka cluster comprises in particular:
b1, the Kafka cluster of one node provides service at each 9092 port, and election of the Kafka node is controlled through the Zookeeper cluster;
b2, a Kafka cluster of one node deploys message producers in all cloud centers and deploys message consumers at the center ends;
and B3, the Kafka cluster of one node is connected to the DMZ host through the management network switch and the core switch, the DMZ host provides security protection and network isolation, and then the DMZ host is communicated with the SD-WAN terminal to access the SD-WAN network.
5. The method of claim 1, wherein the message queue provides domain name based access services, DNS at each center configures domain name resolution, and both producer and consumer connect to the message queue via a domain name.
6. The method as claimed in claim 5, wherein the dynamic discovery of the CMDB comprises:
c1, configuring a Collector through a Collector to actively collect required data information, and actively calling api of the Collector or periodically triggering a collection task to realize automatic collection of CMDB data;
and C2, passively receiving CMDB change information pushed by the Event center through the Event-Trigger Event monitor, and ensuring that the resource configuration data is real-time and effective through Event monitoring.
7. The method of claim 1, wherein the CMDB data store stores the model data to be obtained in a physical device, platform component, service component, resource pool class.
8. The method as claimed in claim 4, wherein said producer and consumer are both spring boot based Java items, and related programs are implemented by introducing Kafka related jar package.
9. The method as claimed in claim 8, wherein the consumer is in a cluster mode, all consumer nodes form a same consuming group to subscribe to a same message topic, thereby realizing the consumption of the CMDB message, and storing the CMDB data in the central database for the central end to use.
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