CN107294772B - Dynamic management monitoring service system combined with Docker - Google Patents
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- CN107294772B CN107294772B CN201710369623.XA CN201710369623A CN107294772B CN 107294772 B CN107294772 B CN 107294772B CN 201710369623 A CN201710369623 A CN 201710369623A CN 107294772 B CN107294772 B CN 107294772B
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract
A dynamic management monitoring service system combined with a Docker comprises a cloud platform portal system, a unified monitoring scheduling management platform and a monitoring item agent module; the unified monitoring and scheduling management platform realizes the functions of service scheduling management, mirror image management, deployment management and monitoring data statistics; the monitoring item proxy module splits monitoring item function codes of Zabbix, ELK, Nagios and Ganglia open source monitoring software, reconstructs the separated codes of the monitoring items, and each monitoring item realizes a proxy program which can run in a Docker container to form a plurality of monitoring item containers; a user applies for opening the monitoring service on line through the cloud platform portal system, and an application request is sent to the unified monitoring scheduling management platform for processing. The invention improves the agility of the whole monitoring service system by decomposing a complex system into a series of software services of independent development, deployment and operation and maintenance, and can flexibly respond to the changes of the monitoring service and the scale of the monitoring platform.
Description
Technical Field
The invention belongs to the technical field of cloud computing data center monitoring, and relates to a service system for realizing dynamic management and monitoring by combining Docker.
Background
With the continuous development of the cloud computing technology, the cloud computing technology is continuously mature and stable, more and more enterprises or individuals migrate the business systems of the enterprises or individuals to the cloud, so that the investment of infrastructure construction is reduced for customers, and the efforts are fully put into how to accurately monitor business data, therefore, a set of customizable and elastically-expandable monitoring system needs to be provided to solve the monitoring services of different business requirements of the customers.
Docker is an open source container technology, and can create a lightweight and portable container which is used as an emerging virtualization technology and can be delivered and deployed more quickly, combined and expanded more flexibly and managed simply.
Zabbix, ELK, Nagios, Ganglia are open source monitoring software that targets at server base resource monitoring, application service performance monitoring, application log reclamation monitoring.
Disclosure of Invention
The invention provides a system for realizing dynamic management and monitoring service by combining Docker, which is a monitoring scheduling management system capable of customizing monitoring service, dynamically managing monitoring service items and elastically increasing monitoring service resources.
The technical scheme adopted by the invention is as follows:
a dynamic management monitoring service system combined with a Docker comprises a cloud platform portal system, wherein the system comprises a uniform monitoring scheduling management platform and a monitoring item agent module; the unified monitoring and scheduling management platform realizes the functions of service scheduling management, mirror image management, deployment management and monitoring data statistics; the monitoring item agent module splits monitoring item function codes of Zabbix, ELK, Nagios and Ganglia open source monitoring software, separates monitoring items of each monitoring software, namely codes of basic resource CPU, memory, hard disk, network throughput monitoring, application service log monitoring, middleware performance monitoring and web application performance monitoring from an open source software system, reconstructs the codes of the separated monitoring items, and each monitoring item realizes that an agent program which can run in a Docker container forms a plurality of monitoring item containers; a user applies for opening a monitoring service on line through a cloud platform portal system, an application request is sent to a unified monitoring scheduling management platform for processing, a monitoring item agent module is deployed to a monitoring target host according to processed monitoring configuration parameters, the monitoring item agent module sends monitoring data acquired from the target host to the unified monitoring management platform, and monitoring data display of the host can be acquired through the cloud platform portal system.
The unified monitoring scheduling management platform comprises a monitoring service scheduling management module, a monitoring item container mirror warehouse management module, a monitoring item data management module and a monitoring item container mirror deployment management module; the monitoring service scheduling management module is composed of a monitoring item service application interface module, a basic resource monitoring service management module, an application log monitoring service management module and a middleware performance monitoring service management module, realizes service scheduling management, receives a request for processing application to open or close the monitoring service, and generates a monitoring configuration parameter according to the request parameter; the monitoring item container mirror image warehouse management module comprises a Git warehouse management module and a monitoring item container mirror image uploading management interface module, realizes mirror image management, uploads a monitoring item container mirror image, and manages and controls the version of the monitoring item container mirror image; the monitoring item data management module comprises a monitoring data acquisition interface module, and is used for realizing monitoring data statistics, counting the acquired monitoring data, analyzing the data and displaying the analysis result to the cloud platform portal system; the monitoring item container mirror image deployment management module realizes deployment management, automatically deploys the monitoring item container mirror images meeting the request to a target host, and starts monitoring item proxy service.
The invention combines the advantages of lightweight virtualization, high portability, flexible deployment and dynamic resource expansion of the Docker technology, encapsulates monitoring agent plug-ins through the Docker, and dispatches and manages the subpackaged containers through the unified monitoring service platform.
The invention has the structural idea that the agility of the whole monitoring service system is improved by decomposing a complex system into a series of software services of independent development, deployment, operation and maintenance, and the monitoring service system can flexibly respond to the monitoring service and the change of the scale of the monitoring platform. The Docker technology completely decouples the deployment of the service from the environment, and rapidly delivers the distributed application by utilizing the portability and agility of the Docker, thereby greatly improving the deployment, operation and maintenance efficiency. However, large-scale distributed microservice applications also present new challenges to system monitoring.
This architectural idea calls for the ability to quickly iterate and dynamically deploy monitoring service functions. From the technical point of view, most of the conventional monitoring systems are designed for physical machines or virtual machines, and usually use static configuration items to establish mapping of applications, environments and monitoring indexes. However, the architecture of the present invention breaks this static binding relationship. Each instance of the service can be distributed on a plurality of nodes, and when one node fails, the instance of the service can be dynamically migrated to other nodes; each service can independently evolve, the life cycle is greatly accelerated, and the support of multi-version coexistence needs to be considered. In addition, the Docker container provides an independent process space, and encourages one container to only run a single task, so that the isolation is improved, and meanwhile, some traditional system monitoring means cannot directly collect the application state running in the container.
Drawings
FIG. 1 is a schematic diagram of the operation of a monitoring agent of the present invention;
FIG. 2 is a diagram of a monitoring service platform architecture according to the present invention.
Detailed Description
Referring to fig. 2, a system for implementing dynamic management monitoring service in combination with Docker includes three parts: the system comprises a cloud platform portal system, a unified monitoring and scheduling management platform and a monitoring item agent module.
Wherein: the cloud platform portal system is used for a user to apply for cloud host resources, hard disk resources, network service resources and monitoring services on line. The user can register an application account through the web page, then can purchase cloud host resources, and can purchase an order in the system if the user needs to customize the cloud resource monitoring service.
The unified monitoring, scheduling and managing platform, as shown in fig. 2, has the following functions:
1. all resource monitoring data are accepted, data are counted and processed, a user logs in the resource management platform through the cloud portal account, the user acquires the monitoring data of the resources through the platform by calling the monitoring data acquisition interface module, and the monitoring data are displayed to the user in a graph form in the cloud portal.
2. The monitoring service scheduling management function is realized, the monitoring service request applied by a user through on-line purchase of a cloud portal can be configured and processed, after the monitoring service request is received by the module, different configurations are processed according to different monitoring item types, and the monitoring type processing module comprises three modules, a basic resource monitoring service management module, an application log monitoring service management module and a middleware performance monitoring service management module. The monitoring service scheduling management module sends the configuration file processed by each monitoring type module, the corresponding monitoring item container and the version to the monitoring item container mirror image deployment management module, the monitoring item container mirror image deployment management module acquires the corresponding monitoring item container mirror image version from the monitoring item container mirror image warehouse management module and downloads the corresponding monitoring item container mirror image version, and then the monitoring item container mirror image deployment management module deploys the configuration file and the monitoring item container mirror image to a cloud host of a user.
3. And the administrator uploads the manufactured monitoring item container mirror image to the git warehouse management module by calling the monitoring item container mirror image uploading management interface module.
And the monitoring item agent module splits the monitoring item function codes of Zabbix, ELK, Nagios and Ganglia open-source monitoring software, separates the monitoring item (basic resource CPU, memory, hard disk, network throughput monitoring, application service log post monitoring, middleware performance monitoring and web application performance monitoring) codes of each monitoring software from the open-source software system, reconstructs the codes of the separated monitoring items, and each monitoring item realizes an agent program which can run in a Docker container. The operation process of the monitoring item agent module on the target host is shown in fig. 1, after the unified monitoring and scheduling management platform deploys the distributed monitoring item containers to the user cloud host, the monitoring item containers start initialization, after the initialization is completed, the monitoring item containers start, then the monitoring item agent service module in the containers starts, the monitoring item agent module starts to acquire monitoring data on the cloud host, and the acquired monitoring data are reported to the unified monitoring and scheduling management platform.
The operation process of the invention is as follows: the cloud platform portal system is an entry platform for users to use cloud resources and services, and the users can log in the cloud platform portal system through registration and can apply for purchasing provided cloud products (cloud hosts, cloud hard disks and middleware services). After the user deploys own services to the cloud host, the operation state of the cloud host needs to be monitored, and at the moment, the user can call an application monitoring service interface provided by a cloud platform portal. The method comprises the steps that a monitoring service application interface module of a unified monitoring service scheduling platform is called by a cloud platform portal system interface, the monitoring service application interface module can transmit a request to a monitoring service scheduling management module for classification processing, a log monitoring service management module, a basic resource monitoring service management module and a middleware performance monitoring service management module are applied to return a configuration file processed by the monitoring service scheduling management module to the monitoring service scheduling management module, at the moment, the monitoring service scheduling management module downloads a corresponding monitoring item container mirror image from a monitoring item container mirror image warehouse management module according to a processed interface, and then the configuration file and the mirror image are pushed to a cloud host through a monitoring item container mirror image deployment management module to be deployed and operated. On the cloud host, after the monitoring item container operates normally, the monitoring item container acquires corresponding monitoring data of the cloud host according to configuration requirements and reports the data to a monitoring data management module of the unified monitoring service platform. If the user obtains the monitoring data of the checking host through the cloud platform portal, the user calls the monitoring data obtaining interface module, returns the data requested by the monitoring data management module to the cloud platform portal, and displays the data to the user in a chart form.
The invention is further described below in terms of specific practical applications.
The method is applied to an OpenStack cloud platform of a company and used for monitoring the resource (CPU, memory, network and hard disk) use condition of each physical node of the OpenStack platform, the running condition of each service component of the OpenStack during entering and the log monitoring condition of each OpenStack component. The resource condition of the virtual machines in the cloud platform is monitored, the deployed services of the virtual machines are different, the monitoring methods or software are different, if according to a traditional monitoring scheme, a plurality of different monitoring software need to be deployed to monitor the virtual machines, new requirements are met, a new physical server needs to be found, then the system and the monitoring software are deployed, a large amount of engineering is added for operation and maintenance engineers, the monitoring system with the docker container architecture is established by constructing the idea of monitoring and installing the microservices, decomposing and decoupling the monitoring items, and the monitoring system with the docker container architecture can be achieved no matter how complex and non-uniform monitoring requirements exist in the OpenStack cloud platform. By using the monitoring system, the workload of operation and maintenance engineers is reduced, and the complexity of static configuration of each parameter of the monitoring software is also simplified.
Claims (2)
1. A dynamic management monitoring service system combined with a Docker comprises a cloud platform portal system and is characterized in that: the system comprises a unified monitoring and scheduling management platform and a monitoring item agent module; the unified monitoring and scheduling management platform realizes the functions of service scheduling management, mirror image management, deployment management and monitoring data statistics; the monitoring item agent module splits monitoring item function codes of Zabbix, ELK, Nagios and Ganglia open source monitoring software, separates monitoring items of each monitoring software, namely codes of basic resource CPU, memory, hard disk, network throughput monitoring, application service log monitoring, middleware performance monitoring and web application performance monitoring from an open source software system, reconstructs the codes of the separated monitoring items, and each monitoring item realizes that an agent program which can run in a Docker container forms a plurality of monitoring item containers; a user applies for opening a monitoring service on line through a cloud platform portal system, an application request is sent to a unified monitoring scheduling management platform for processing, a monitoring item agent module is deployed to a monitoring target host according to processed monitoring configuration parameters, the monitoring item agent module sends monitoring data collected on the target host to the unified monitoring management platform, and monitoring data display of the host can be obtained through the cloud platform portal system.
2. The system for implementing dynamic management monitoring service in combination with a Docker as claimed in claim 1, wherein: the unified monitoring scheduling management platform comprises a monitoring service scheduling management module, a monitoring item container mirror warehouse management module, a monitoring item data management module and a monitoring item container mirror deployment management module; the monitoring service scheduling management module is composed of a monitoring item service application interface module, a basic resource monitoring service management module, an application log monitoring service management module and a middleware performance monitoring service management module, realizes service scheduling management, receives a request for processing application to open or close the monitoring service, and generates a monitoring configuration parameter according to the request parameter; the monitoring item container mirror image warehouse management module comprises a Git warehouse management module and a monitoring item container mirror image uploading management interface module, realizes mirror image management, uploads a monitoring item container mirror image, and manages and controls the version of the monitoring item container mirror image; the monitoring item data management module comprises a monitoring data acquisition interface module, and is used for realizing monitoring data statistics, counting the acquired monitoring data, analyzing the data and displaying the analysis result to the cloud platform portal system; the monitoring item container mirror image deployment management module realizes deployment management, automatically deploys the monitoring item container mirror images meeting the request to a target host, and starts monitoring item proxy service.
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