CN115955388A - Distributed cloud comprehensive alarm system - Google Patents
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Abstract
The invention relates to the technical field of cloud computing, in particular to a distributed cloud comprehensive alarm system, which consists of an alarm message access layer, a stream processing layer, a data layer and an application layer; the beneficial effects are that: the distributed cloud comprehensive alarm system provided by the invention realizes the centralized access, analysis and processing of the alarm of the nano-tube distributed cloud platform. Meanwhile, the method supports personnel in each professional operation and maintenance queue to quickly find, respond in time and accurately position faults, shortens the service interruption time and realizes key guarantee of important customers and important services. Meanwhile, the system technical architecture supports heterogeneous cloud and has the characteristics of high performance, high reliability, expandability and the like.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a distributed cloud comprehensive alarm system.
Background
Distributed Cloud (CSP) refers to a Cloud Service Provider (CSP) distributing public Cloud services to different physical locations, and the CSP is uniformly responsible for operation, administration, update and evolution of Cloud services. The distributed cloud generally adopts a centralized operation and maintenance mode, and in this context, the operation and maintenance support system generally adopts a two-stage architecture: distributed cloud platform, and central side operation and maintenance supporting platform.
In the prior art, a distributed cloud platform is deployed at a client side, and monitoring data, alarm data, performance data and capacity data are transmitted back to a center side through a special network; the operation and maintenance support platform on the center side realizes core functions of centralized operation and maintenance based on returned data of the distributed cloud platform, including capacity monitoring, performance monitoring, alarm monitoring and the like of the distributed cloud. The alarm system is the most important subsystem in the whole operation and maintenance support system, and the architecture design is particularly important.
However, the traditional alarm system cannot realize centralized access, analysis and processing of the alarm of the nano-tube distributed cloud platform; meanwhile, the method is difficult to support each professional operation and maintenance queue personnel to quickly find, respond in time and accurately position faults; the service interruption time cannot be shortened, and important guarantee of important clients and important services is realized.
Disclosure of Invention
The invention aims to provide a distributed cloud integrated alarm system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a distributed cloud integrated alarm system is composed of an alarm message access layer, a stream processing layer, a data layer and an application layer;
the alarm message access layer is used for realizing communication between the distributed cloud platform and a network link at the Center side based on the SD-WAN;
the stream processing layer is driven by the message stream based on the message cluster to realize the alarm analysis processing core function of the distributed cloud platform;
the data layer is constructed by adopting a heterogeneous multi-database system architecture;
and the application layer is used for realizing a core application scene based on the data layer.
Preferably, the alarm component in the distributed cloud platform is forwarded to the access agent at the center side through the SD-WAN network based on the Http request agent, and then forwarded to the message cluster through the access agent;
the SD-WAN network addresses are uniformly planned in the whole distributed cloud range, and unidirectional request access from an Http request agent of the distributed cloud platform to an Http access agent at the center side is realized through policy control;
the message cluster is constructed based on the open source message middleware kafka, and a distributed cluster deployment architecture is adopted.
Preferably, the stream processing layer is constructed based on a Flink distributed cluster, and supports high availability, high performance and expandability; the flow processing layer comprises a Source node, a standard flow mapping node, a CMDB association node, an alarm convergence node, an AI processing node, an automatic dispatch node and a persistence node.
Preferably, the Source node realizes Kafka message flow access based on the function provided by the Flink framework;
the standard stream mapping node is used for mapping the standard stream mapping node into a standard alarm message stream through the analysis of the character stream, and the subsequent processing nodes are all used for processing based on the standard alarm message stream;
the CMDB association node is used for associating the configuration attribute of the alarm object based on the CMDB, analyzing and processing subsequent alarms and updating the alarm state of the alarm object in the memory database;
the alarm convergence node is a core component for alarm analysis and processing;
the AI processing node encapsulates an AI algorithm based on an external AI engine to realize cluster analysis of the unknown alarm message; associating fault handling knowledge information based on a knowledge base;
the automatic dispatching node is used for analyzing and processing the output alarm message finally based on the rule engine to form work order information, matching the fault processing queue and personnel, and pushing the work order information to a peripheral work order system to realize automatic dispatching;
and the persistent node writes the alarm message record output by final analysis processing into the relational database and writes the original alarm message into the time sequence database.
Preferably, the alarm convergence node implements the following core functions:
based on the real-time state of the alarm object in the memory database and the convergence rule in the rule engine, the alarm combination of the same alarm object at different levels is realized, and the peak processing pressure of the alarm storm on the subsequent processing node is effectively avoided;
alarm silencing is implemented based on rules.
Preferably, the data layer is composed of a CMDB library, a memory database, a relational database and a time sequence database.
Preferably, the CMDB adopts an open source graph database ArangoDB for supporting information correlation matching of the alarm object;
the memory database adopts a distributed Redis cluster and is used for caching dictionary data and state data of the alarm object;
the relational database adopts an open-source MariaDB high-availability cluster and is used for storing configuration data, persisting alarm processing record data and providing data query for upper-layer application;
and the time sequence database adopts an InfluxDB distributed cluster and is used for storing original alarm records and providing data support for upper-layer application display.
Preferably, the application layer comprises the following subsystems: alarm display, alarm analysis, rule configuration and scene monitoring.
Preferably, the alarm display is oriented to each professional operation and maintenance personnel, and an alarm application display view is provided based on alarm data;
alarm analysis, which is oriented to each professional operation and maintenance personnel and provides fault positioning and root cause analysis functions;
rule configuration, which is oriented to configuration management personnel and provides a front-end configuration function of an alarm rule;
and scene monitoring, which is oriented to key guarantee scenes and realizes the functions of monitoring alarm, large screen, network topology and application topology scene of the re-guarantee object.
Compared with the prior art, the invention has the beneficial effects that:
the distributed cloud comprehensive alarm system provided by the invention realizes the centralized access, analysis and processing of the alarm of the nano-tube distributed cloud platform. Meanwhile, the method supports personnel in each professional operation and maintenance queue to quickly find, respond in time and accurately position faults, shortens the service interruption time and realizes key guarantee of important customers and important services. Meanwhile, the system technical architecture supports heterogeneous cloud and has the characteristics of high performance, high reliability, expandability and the like.
Drawings
FIG. 1 is a diagram of a distributed cloud integrated alarm system architecture according to the present invention;
FIG. 2 is a technical architecture diagram of a distributed cloud integrated alarm system according to the present invention;
FIG. 3 is an alarm access architecture diagram of the distributed cloud integrated alarm system of the present invention;
fig. 4 is a model diagram of alarm stream processing of the distributed cloud integrated alarm system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clear and fully described, embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of some embodiments of the invention and are not limiting of the invention, and that all other embodiments obtained by those of ordinary skill in the art without the exercise of inventive faculty are within the scope of the invention.
Example one
Referring to fig. 1 to 4, the present invention provides a technical solution: a distributed cloud integrated alarm system is composed of an alarm message access layer, a stream processing layer, a data layer and an application layer;
the alarm message access layer is used for realizing communication between the distributed cloud platform and a network link at the Center side based on the SD-WAN; the alarm component in the distributed cloud platform is forwarded to an access agent at the center side through an SD-WAN (secure digital-to-WAN) network based on an Http request agent, and then forwarded to the message cluster through the access agent; the SD-WAN network addresses are uniformly planned in the whole distributed cloud range, and unidirectional request access from an Http request agent of the distributed cloud platform to an Http access agent at the center side is realized through policy control; the message cluster is constructed based on the open source message middleware kafka, and a distributed cluster deployment architecture is adopted;
the stream processing layer is driven by the message stream based on the message cluster to realize the alarm analysis processing core function of the distributed cloud platform; the stream processing layer is constructed based on a Flink distributed cluster, and supports high availability, high performance and expandability; the flow processing layer comprises a Source node, a standard flow mapping node, a CMDB associated node, an alarm convergence node, an AI processing node, an automatic order dispatching node and a persistence node; the Source node realizes the access of the Kafka message flow based on the function provided by the Flink framework; the standard stream mapping node is used for mapping the standard stream mapping node into a standard alarm message stream through the analysis of the character stream, and the subsequent processing nodes are all used for processing based on the standard alarm message stream; the CMDB association node is used for associating the configuration attribute of the alarm object based on the CMDB, analyzing and processing subsequent alarms and updating the alarm state of the alarm object in the memory database; the alarm convergence node is a core component for alarm analysis and processing; the AI processing node is based on an external AI engine, encapsulates an AI algorithm and realizes the cluster analysis of the unknown alarm message; associating fault handling knowledge information based on a knowledge base; the automatic dispatching node is used for analyzing and processing the output alarm message finally based on the rule engine to form work order information, matching the fault processing queue and personnel, and pushing the work order information to a peripheral work order system to realize automatic dispatching; the persistent node writes the alarm message record output by final analysis processing into a relational database and writes the original alarm message into a time sequence database; the alarm convergence node implements the following core functions: based on the real-time state of the alarm object in the memory database and the convergence rule in the rule engine, the alarm combination of the same alarm object at different levels is realized, and the peak processing pressure of the alarm storm on the subsequent processing node is effectively avoided; implementing alarm silence based on rules;
the data layer is constructed by adopting a heterogeneous multi-database system architecture; the data layer consists of a CMDB (China Mobile database), a memory database, a relational database and a time sequence database; the CMDB adopts an open source graph database ArangoDB and is used for supporting information correlation matching of the alarm object; the memory database adopts a distributed Redis cluster and is used for caching dictionary data and state data of the alarm object; the relational database adopts an open-source MariaDB high-availability cluster and is used for storing configuration data, persisting alarm processing record data and providing data query for upper-layer application; the time sequence database adopts an InfluxDB distributed cluster and is used for storing original alarm records and providing data support for upper-layer application display;
the application layer is used for realizing a core application scene based on the data layer; the application layer comprises the following subsystems: alarm display, alarm analysis, rule configuration and scene monitoring; the alarm display is oriented to each professional operation and maintenance worker, and an alarm application display view is provided based on alarm data; alarm analysis, which is oriented to each professional operation and maintenance personnel and provides fault positioning and root cause analysis functions; rule configuration, which is oriented to configuration management personnel and provides a front-end configuration function of an alarm rule; scene monitoring, which is oriented to key guarantee scenes and realizes the functions of large alarm monitoring screen, network topology and application topology scene monitoring of a guarantee object.
Example two
Provided is a method for constructing a comprehensive alarm system of a distributed cloud platform.
As shown in fig. 1, the system architecture of the integrated alarm system implemented by the present invention is divided into four layers: the system comprises an alarm message access layer, a stream processing layer, a data layer and an application layer, which are specifically as follows.
1. Alarm message access layer
The distributed cloud platform is based on a data return link of a central side and is communicated with an SD-WAN network. The SD-WAN network is a software-controlled wide area network, and is technically based on a VPN tunnel technology, so that safe and reliable data transmission can be realized.
And the alarm component of the distributed cloud platform is responsible for monitoring and alarming the operation of the platform and transmitting the alarm information back to the central side comprehensive alarm system based on the message. In order to realize the concurrent access of all distributed cloud messages, the alarm message is encapsulated based on an internal protocol and adopts a JSON data format, and the specific structure is described as follows:
1) A message header portion comprising: metadata information such as cloud platform coding, alarm record number, message length, triggering time and the like;
2) And the message data part comprises a specific alarm message record list.
And the alarm messages of the distributed cloud platform are uniformly accessed to the message cluster of the central side comprehensive alarm system and drive the upper layer flow processing layer to analyze and process.
The message cluster adopts open source message middleware kafka and is based on a distributed cluster architecture.
2. Stream processing layer
As shown in fig. 2, the technical architecture of the distributed cloud platform integrated alarm system is shown. The stream processing layer is a core subsystem of the comprehensive alarm, and realizes the alarm analysis processing core function of the distributed cloud platform based on the message stream drive of the message cluster.
The stream processing layer is constructed based on a Flink distributed cluster, and supports high availability, high performance and expandability.
Each processing node (operator) module of the stream processing layer logically comprising: access, standardization, object association, convergence, AI operator, automatic ordering, notification, persistence.
In actual operation, based on the framework and the configuration, the concurrent processing of each processing node can be realized, and the concurrency of different nodes can be adjusted according to actual load.
3. Data layer
The comprehensive alarm system of the distributed cloud adopts a high-performance framework due to the complexity of multiple data sources and processing logic, and a data layer adopts a multiple database system framework.
And the CMDB is constructed by adopting an open source database ArangoDB and is used for supporting information correlation matching of the alarm object.
And the memory database adopts a distributed Redis cluster and is used for caching dictionary data and state data of the alarm object.
And the relational database adopts an open-source MariaDB high-availability cluster and is used for storing configuration data, persisting alarm processing record data and providing data query for upper-layer application.
And the time sequence database is used for storing the original alarm records and providing data support for upper-layer application display.
4. Application layer
The application layer realizes a core application scene based on a data layer, and mainly comprises the following subsystems: alarm display, alarm analysis, rule configuration and scene monitoring.
And alarm display, which is oriented to each professional operation and maintenance personnel and provides alarm analysis display based on alarm data.
And alarm analysis, which is oriented to each professional operation and maintenance personnel and provides fault positioning and root cause analysis functions.
And rule configuration, which faces configuration management personnel and provides a front-end configuration function of the alarm rule.
Scene monitoring, which is oriented to key guarantee scenes and realizes the scene monitoring functions of the alarm monitoring large screen, the network topology, the application topology and the like of the guarantee objects.
5. Center side cluster deployment architecture
The invention relates to a Center side system which is based on Kubernets container cluster deployment and adopts a high-availability and load balancing framework, and the Center side system specifically comprises the following components:
1) The message middleware adopts an open source kafka cluster architecture;
2) The database adopts a MariaDB Galera cluster 'one master and two slaves' structure;
3) The time sequence database adopts an InfluxDB distributed cluster architecture;
4) Flow processing adopts a Flink distributed cluster architecture and is based on Kubernets and Docker mirror image deployment;
5) And the core application logic component is deployed by adopting a plurality of copies of Service, so that high availability and load balance are realized.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A distributed cloud integrated alarm system is characterized in that: the distributed cloud integrated alarm system consists of an alarm message access layer, a stream processing layer, a data layer and an application layer;
the alarm message access layer is used for realizing communication between the distributed cloud platform and a network link at the Center side based on the SD-WAN;
the stream processing layer is driven by the message stream based on the message cluster to realize the alarm analysis processing core function of the distributed cloud platform;
the data layer is constructed by adopting a heterogeneous multi-database system architecture;
and the application layer is used for realizing a core application scene based on the data layer.
2. The distributed cloud integrated alarm system of claim 1, wherein: the alarm component in the distributed cloud platform is forwarded to an access agent at the center side through an SD-WAN (secure digital-to-WAN) network based on an Http request agent, and then forwarded to the message cluster through the access agent;
uniformly planning SD-WAN network addresses in the whole distributed cloud range, and realizing unidirectional request access from an Http request agent of the distributed cloud platform to an Http access agent at the center side through policy control;
the message cluster is constructed based on the open source message middleware kafka, and a distributed cluster deployment architecture is adopted.
3. The distributed cloud integrated alarm system of claim 1, wherein: the stream processing layer is constructed based on a Flink distributed cluster, and supports high availability, high performance and expandability; the flow processing layer comprises a Source node, a standard flow mapping node, a CMDB association node, an alarm convergence node, an AI processing node, an automatic dispatch node and a persistence node.
4. The distributed cloud integrated alarm system of claim 3, wherein: the Source node realizes the access of the Kafka message flow based on the function provided by the Flink framework;
the standard stream mapping node is used for mapping the standard stream mapping node into a standard alarm message stream through the analysis of the character stream, and the subsequent processing nodes are all used for processing based on the standard alarm message stream;
the CMDB association node is used for associating the configuration attribute of the alarm object based on the CMDB, analyzing and processing subsequent alarms and updating the alarm state of the alarm object in the memory database;
the alarm convergence node is a core component for alarm analysis and processing;
the AI processing node encapsulates an AI algorithm based on an external AI engine to realize cluster analysis of the unknown alarm message; associating fault handling knowledge information based on a knowledge base;
the automatic dispatching node is used for analyzing and processing the output alarm message finally based on the rule engine to form work order information, matching the fault processing queue and personnel, and pushing the work order information to a peripheral work order system to realize automatic dispatching;
and the persistent node writes the alarm message record output by final analysis processing into the relational database and writes the original alarm message into the time sequence database.
5. The distributed cloud integrated alarm system of claim 4, wherein: the alarm convergence node implements the following core functions:
based on the real-time state of the alarm object in the memory database and the convergence rule in the rule engine, the alarm combination of the same alarm object at different levels is realized, and the peak processing pressure of the alarm storm on the subsequent processing node is effectively avoided;
alarm silencing is implemented based on rules.
6. The distributed cloud integrated alarm system of claim 1, wherein: the data layer is composed of a CMDB base, a memory database, a relational database and a time sequence database.
7. The distributed cloud integrated alarm system of claim 6, wherein: the CMDB adopts an open source database ArangoDB and is used for supporting information correlation matching of the alarm object;
the memory database adopts a distributed Redis cluster and is used for caching dictionary data and state data of the alarm object;
the relational database adopts an open-source MariaDB high-availability cluster and is used for storing configuration data and persisting alarm processing record data and providing data query for upper-layer application;
and the time sequence database adopts an InfluxDB distributed cluster and is used for storing original alarm records and providing data support for upper-layer application display.
8. The distributed cloud integrated alarm system of claim 1, wherein the application layer comprises the following subsystems: alarm display, alarm analysis, rule configuration and scene monitoring.
9. The distributed cloud integrated alarm system according to claim 8, wherein: the alarm display is oriented to each professional operation and maintenance worker, and an alarm application display view is provided based on alarm data;
alarm analysis, which is oriented to each professional operation and maintenance personnel and provides fault positioning and root cause analysis functions;
rule configuration, which is oriented to configuration management personnel and provides a front-end configuration function of an alarm rule;
scene monitoring, which is oriented to key guarantee scenes and realizes the functions of large alarm monitoring screen, network topology and application topology scene monitoring of a guarantee object.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018184165A1 (en) * | 2017-04-06 | 2018-10-11 | 邹霞 | Distributed cloud service system for flow totalization |
| CN109218097A (en) * | 2018-09-19 | 2019-01-15 | 山东浪潮云投信息科技有限公司 | A kind of warning system and alarm method of cloud platform configurable alert rule |
| CN111786833A (en) * | 2020-07-01 | 2020-10-16 | 浪潮云信息技术股份公司 | Alarm matching processing implementation method based on cloud service platform |
| CN112073437A (en) * | 2020-10-09 | 2020-12-11 | 腾讯科技（深圳）有限公司 | Multidimensional security threat event analysis method, device, equipment and storage medium |
| CN112532456A (en) * | 2020-12-04 | 2021-03-19 | 浪潮云信息技术股份公司 | Alarm monitoring method in cloud environment |
| WO2021068831A1 (en) * | 2019-10-10 | 2021-04-15 | 平安科技（深圳）有限公司 | Service alert method and device, and storage medium |
| CN114443433A (en) * | 2022-01-26 | 2022-05-06 | 浪潮云信息技术股份公司 | Method and system for realizing distributed automatic alarm processing on cloud computing platform |
| CN115412553A (en) * | 2022-08-03 | 2022-11-29 | 浪潮云信息技术股份公司 | CMDB automatic configuration method based on distributed cloud platform |
| CN115442212A (en) * | 2022-08-24 | 2022-12-06 | 浪潮云信息技术股份公司 | Intelligent monitoring analysis method and system based on cloud computing |
| CN115470025A (en) * | 2022-09-06 | 2022-12-13 | 上海浪潮云计算服务有限公司 | Intelligent root cause analysis method, device, medium and equipment in distributed cloud scene |
-
2022
- 2022-12-20 CN CN202211638775.2A patent/CN115955388A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018184165A1 (en) * | 2017-04-06 | 2018-10-11 | 邹霞 | Distributed cloud service system for flow totalization |
| CN109218097A (en) * | 2018-09-19 | 2019-01-15 | 山东浪潮云投信息科技有限公司 | A kind of warning system and alarm method of cloud platform configurable alert rule |
| WO2021068831A1 (en) * | 2019-10-10 | 2021-04-15 | 平安科技（深圳）有限公司 | Service alert method and device, and storage medium |
| CN111786833A (en) * | 2020-07-01 | 2020-10-16 | 浪潮云信息技术股份公司 | Alarm matching processing implementation method based on cloud service platform |
| CN112073437A (en) * | 2020-10-09 | 2020-12-11 | 腾讯科技（深圳）有限公司 | Multidimensional security threat event analysis method, device, equipment and storage medium |
| CN112532456A (en) * | 2020-12-04 | 2021-03-19 | 浪潮云信息技术股份公司 | Alarm monitoring method in cloud environment |
| CN114443433A (en) * | 2022-01-26 | 2022-05-06 | 浪潮云信息技术股份公司 | Method and system for realizing distributed automatic alarm processing on cloud computing platform |
| CN115412553A (en) * | 2022-08-03 | 2022-11-29 | 浪潮云信息技术股份公司 | CMDB automatic configuration method based on distributed cloud platform |
| CN115442212A (en) * | 2022-08-24 | 2022-12-06 | 浪潮云信息技术股份公司 | Intelligent monitoring analysis method and system based on cloud computing |
| CN115470025A (en) * | 2022-09-06 | 2022-12-13 | 上海浪潮云计算服务有限公司 | Intelligent root cause analysis method, device, medium and equipment in distributed cloud scene |
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