CN108845865A - A kind of monitoring service dispositions method, system and storage medium - Google Patents
A kind of monitoring service dispositions method, system and storage medium Download PDFInfo
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- CN108845865A CN108845865A CN201810683077.1A CN201810683077A CN108845865A CN 108845865 A CN108845865 A CN 108845865A CN 201810683077 A CN201810683077 A CN 201810683077A CN 108845865 A CN108845865 A CN 108845865A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45562—Creating, deleting, cloning virtual machine instances
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45591—Monitoring or debugging support
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- Debugging And Monitoring (AREA)
Abstract
The invention discloses a kind of monitoring service dispositions method, system and storage mediums.It can be realized automatic batch deployment monitoring service.The method includes：Analysis need to dispose the OS Type of monitoring service leaf node；Monitoring service is disposed according to the OS Type.Using the embodiment of the present invention, while adding host can automatic large scale deployment monitoring service, improve deployment efficiency, and the artificial deployment various problems of bring can be reduced.The monitoring service state in cluster is monitored simultaneously, and the monitoring information for the cluster that timely updates updates monitoring service when clustered node Status Change, guarantees the monitoring High Availabitity of cluster.Monitoring service is optimized, resources occupation rate is reduced, increases caching function, improves the read and write rate of monitoring, facilitates the extension of monitoring function.
Description
Technical field
The present invention relates to computer technology technology, espespecially a kind of monitoring service dispositions method, system and storage medium.
Background technique
With the fast development of computer technology and internet, operating system virtualization technology is increasingly mature, virtualization system
System allows multiple operating systems concurrently to operate on same physical host, using identical hardware, and is independent of each other.Multiple void
Quasi- machine can form cluster, group system with the fault tolerant mechanism of its cheap cost, powerful operational capability and stalwartness gradually at
For the focus of computer industry.
The continuous expansion of the cluster scale of cloud computing, the host and virtual machine of management are continuously increased, the O&M of data center
Management is faced with huge challenge, and original management mode can no longer meet demand.
In order to improve cloud computing cluster platform reliability of operation, guarantees the normal operation of service, need portion in the cluster
Affix one's name to monitoring system, so as to can be accurately positioned the node of abnormal performance perhaps failure node or virtual machine are carried out it is further
Operation, analyzes the bottleneck of whole system, does data support for the load balancing of whole system, and timely when failure occurs
Early warning.The method of currently used deployment monitoring service is by manually disposing, and not only low efficiency is also easy to generate for artificial deployment
Various problems.
Summary of the invention
In order to solve the above-mentioned technical problems, the present invention provides a kind of monitoring service dispositions method, system and storage medium,
It can be realized automatic batch deployment monitoring service.
In order to reach the object of the invention, the present invention provides a kind of monitoring service dispositions method, the method includes：
Analysis need to dispose the OS Type of monitoring service leaf node；
Monitoring service is disposed according to the OS Type.
Further, described that monitoring service is disposed according to the action type of the leaf node, including：
According to the action type of the leaf node, monitoring service model corresponding to selection operation type；
Deployment package and deployment script are sent to the leaf node according to the monitoring service model.
Further, further include：Availability detection is carried out to the monitoring service, after the detection passes through, according to portion
The monitoring service collection monitoring data of administration.
Further, after according to the monitoring service collection monitoring data of deployment, further include：
When monitoring leaf node failure, the connection with the leaf node is disconnected；
After judging that the leaf node restores, the node is reconnected, and starts and collects the leaf node
Monitoring data.
Further, after according to the monitoring service collection monitoring data of deployment, further include：
The monitoring service is monitored, monitoring service is adjusted according to the monitoring data.
In order to reach the object of the invention, the present invention also provides a kind of monitoring services to dispose device, and described device includes point
Analyse module, deployment module：
The analysis module, for analyzing the OS Type that need to dispose monitoring service leaf node；
The deployment module, for disposing monitoring service according to the OS Type.
Further, the deployment module disposes monitoring service according to the action type of the leaf node, including：
The deployment module is according to the action type of the leaf node, monitoring service mould corresponding to selection operation type
Type；
The deployment module sends deployment package and deployment script to the leaf node according to the monitoring service model.
It further, further include availability detection module：The availability detection module, for the monitoring service into
Row availability detection, after the detection passes through, according to the monitoring service collection monitoring data of deployment.
It further, further include monitoring module after according to the monitoring service collection monitoring data of deployment：
The monitoring is surveyed module and is adjusted according to the monitoring data to monitoring service for monitoring the monitoring service
It is whole.
In order to reach the object of the invention, the present invention also provides a kind of computer readable storage mediums, are stored thereon with meter
Calculation machine program, when which is executed by processor the step of the realization above method.
Compared with prior art, the present invention includes the OS Type that analysis need to dispose monitoring service leaf node；Root
Monitoring service is disposed according to the OS Type.While adding host can automatic large scale deployment monitoring service, promoted
Deployment efficiency reduces artificial deployment bring various problems.The monitoring service state in cluster is monitored simultaneously, is timely updated
The monitoring information of cluster updates monitoring service when clustered node Status Change, guarantees the monitoring High Availabitity of cluster.Optimization
Monitoring service, reduces resources occupation rate, increases caching function, improve the read and write rate of monitoring, facilitate monitoring function
Extension.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by specification, right
Specifically noted structure is achieved and obtained in claim and attached drawing.
Detailed description of the invention
Attached drawing is used to provide to further understand technical solution of the present invention, and constitutes part of specification, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is the flow chart of the monitoring service dispositions method of the embodiment of the present invention one；
Fig. 2 is that schematic diagram is disposed in the monitoring of the monitoring service dispositions method of the embodiment of the present invention two；
Fig. 3 is that the monitoring service of the embodiment of the present invention three disposes the structural schematic diagram of device.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature can mutual any combination.
Step shown in the flowchart of the accompanying drawings can be in a computer system such as a set of computer executable instructions
It executes.Also, although logical order is shown in flow charts, and it in some cases, can be to be different from herein suitable
Sequence executes shown or described step.
Embodiment one
In order to reach the object of the invention, the present invention provides a kind of monitoring service dispositions methods, as shown in Figure 1, this method
Including S11-S12：
S11, analysis need to dispose the OS Type of monitoring service leaf node；
S12, monitoring service is disposed according to OS Type.
In the embodiment of the present invention, compared to conventional artificial dispositions method, automatic batch deployment monitoring service can be realized.
In this example, on the primary node, human configuration need to dispose the IP address of monitoring service leaf node, host node before disposing
Leaf node is connected to according to IP address.
In one alternate embodiment, described that monitoring service is disposed according to the action type of leaf node, including：
According to the action type of leaf node, monitoring service model corresponding to selection operation type；
Deployment package and deployment script are sent to leaf node according to monitoring service model.
In this example, deployment package includes two parts, and first part is the installation kit for monitoring main service, the installation kit of Gmond.The
Two parts are the installation kits for monitoring expansion service, and Gmond-dev packet, this packet includes mainly customized monitored item, for expanding
Open up the monitored item of oneself needs.
In this example, deployment script includes four pieces, and first is installation script, for installing above-mentioned monitoring packet；Second is
Configuration script, the configuration file needed for configuration monitoring (configuration host node ip, communications protocol, PORT COM, monitor control index,
Monitor control index sends the data such as interval)；Third is detection script, for detecting whether monitoring service can be used；4th is prison
The extension script of content is controlled, this will decide whether to extend according to specific needs, and extending those contents, (for example you will increase
The script of one monitoring wechat program can be realized using extension script).
In this example, the host node is deployed with Gmetad and Gmond, and the leaf node is deployed with Gmond, the leaf
The data that the Gmond of node collects leaf node monitoring service are sent to the Gmond of the host node, and Gmetad is received by poll
Collect the Gmond data on each host, and polymerize all monitoring datas of cluster, is stored in local RRD file.
In this example, when judging that OS Type is windows operating system, automatic deployment process is as follows：
(1) cgwin software (cgwin software can simulate the kit for executing linux script on windows) is installed；
(2) software package of monitoring software is installed；
(3) configuration script is executed in cgwin, be monitored software package configuration (configuration host node ip, communications protocol,
PORT COM, monitor control index, monitor control index send the data such as interval)；
(4) detection script is executed in cgwin, detection monitoring service is installed, and information is returned to host node.
Optionally, the above method further includes：Availability detection is carried out to monitoring service, after detection passes through, according to deployment
Monitoring service collection monitoring data.
In this example, availability detection includes：
(1) whether detection monitoring service opens；
(2) whether detection data transmission port can be used；
(3) whether detection firewall disables data transmission；
(4) whether detection critical data (CPU, memory usage etc.) correctly acquires；
(5) it detects and whether the communication of host node is normal.
When detecting unavailable, the detection service is restarted, it is still unavailable after restarting, then notify host node to generate alarm letter
Breath informs administrator's processing.
Optionally, after according to the monitoring service collection monitoring data of deployment, further include：
When monitoring leaf node failure, the connection with leaf node is disconnected；
After judging that leaf node restores, node is reconnected, and starts the monitoring data for collecting leaf node.
The existing state of the host of leaf node can be determined by the heartbeat of detection leaf node, from monitoring cluster
Monitoring node is deleted or increased to dynamic
Optionally, after according to the monitoring service collection monitoring data of deployment, further include：
Monitoring service is monitored, monitoring service is adjusted according to monitoring data.
In the embodiment of the present invention, analysis need to dispose the OS Type of monitoring service leaf node；According to operating system
Type disposes monitoring service, while adding host can automatic large scale deployment monitoring service, improve deployment efficiency, and can
To reduce the artificial deployment various problems of bring.The monitoring service state in cluster, the monitoring for the cluster that timely updates are monitored simultaneously
Information updates monitoring service when clustered node Status Change, guarantees the monitoring High Availabitity of cluster.Optimize monitoring clothes
Business, reduces resources occupation rate, increases caching function, improve the read and write rate of monitoring, facilitate the extension of monitoring function.
Embodiment two
Above-described embodiment method is specifically described in the present embodiment, the cluster monitoring dispositions method tool under a kind of cloud computing
Body implementation process is as follows：
First, selecting a node is host node, this node is the deployment management node and monitoring data of monitoring service
Memory node.Selecting a node again is slave node, this node is consistent with the function of host node, and the data of storage are also consistent,
When host node is out of order, slave node can be switched to.Other remaining nodes are leaf node, host node and slave node
On require installation Gmetad and Gmond service.
Second, application deployment distribution service on the primary node, this service is the monitoring service portion for carrying out leaf node
Administration, while the monitoring service state of leaf node is monitored, to be adjusted to the monitoring service in cluster.
Monitoring service state includes：Host CPU utilization rate, memory usage, disk utilization rate, disk read-write rate, IO
Performance, net reading and writing rate etc.；The CPU usage of virtual machine, memory usage, net reading and writing rate, disk read-write rate are empty
Quasi- machine state etc..
Third needs to dispose monitoring data analysis service, this service parses the monitoring data received, in deposit
It deposits in caching, the speed of reading can be increased, largely reduce I/O operation, to support large-scale clustered deploy(ment).
4th, the acquisition service of monitoring increases customized monitored item, facilitates the extension of monitoring function.
Node in cluster has different types, constantly increases new node, and the node also haveing been friends in the past is deleted.The present invention
It provides through customized clustered deploy(ment) method, the monitoring service of optimization, single monitoring service can be made to manage thousands of a objects
Manage node.
Under large-scale cluster environment, Ganglia (the open source monitored item that University of California Berkeley initiates is used
Mesh) monitoring component disposed.Ganglia monitoring function is powerful, and there are two primary clustering, Gmetad and Gmond.
Monitoring deployment schematic diagram, as shown in Fig. 2, Icenter is host node, Gmetad is deployed on Icenter, Gmond
It being deployed on Icenter and HOST, HOST1, HOST2 are the code names of host, it is deployed in No. 1 host respectively, on No. 2 hosts,
Cache is caching, and data can be introduced into caching before storing to persistent storage, increases read-write efficiency.
Gmond is data collector, operates in the finger daemon on all monitored host nodes, is used for collector node
On monitoring data, the transmitting of data is carried out on the channel of the same multicast or unicast, system load caused by Gmond
Very small, this not interfering with the performance of each host when running Gmond on monitored host node.
Gmetad is data mixing collector, operates in a finger daemon on data collection host, and Gmetad passes through
Poll collects the Gmond data on each host, and polymerize all monitoring datas of cluster, is stored in local RRD file.
RRD file is a kind of storage format of data, it can use fixed size using the data memory format of annular
Space data storage, when data be filled with it is entire annular when, it will be the data cover of front.
Embodiment three
In order to reach the object of the invention, the present invention also provides a kind of monitoring services to dispose device, above method embodiment
Middle description is also suitable in this present embodiment, and shown in Fig. 3, which includes analysis module 31, deployment module 31：
Analysis module 31, for analyzing the OS Type that need to dispose monitoring service leaf node；
Deployment module 32, for disposing monitoring service according to OS Type.
In one alternate embodiment, deployment module 32 disposes monitoring service according to the action type of leaf node, including：
Deployment module 32 is according to the action type of leaf node, monitoring service model corresponding to selection operation type；
Deployment module 32 sends deployment package and deployment script to leaf node according to monitoring service model.
Optionally, the above method further includes availability detection module：Availability detection module, for being carried out to monitoring service
Availability detection, after detection passes through, according to the monitoring service collection monitoring data of deployment.
It optionally, further include monitoring module after according to the monitoring service collection monitoring data of deployment：
Monitoring is surveyed module and is adjusted according to monitoring data to monitoring service for monitoring monitoring service.
The embodiment of the present invention also provides a kind of computer storage medium, and the computer storage medium is stored with computer journey
Sequence；After the computer program is performed, the attack evidence collecting method of previous embodiment offer can be realized, for example, executing such as Fig. 1
In shown method.
Although disclosed herein embodiment it is as above, the content only for ease of understanding the present invention and use
Embodiment is not intended to limit the invention.Technical staff in any fields of the present invention is taken off not departing from the present invention
Under the premise of the spirit and scope of dew, any modification and variation, but the present invention can be carried out in the form and details of implementation
Scope of patent protection, still should be subject to the scope of the claims as defined in the appended claims.
Claims (10)
1. a kind of monitoring service dispositions method, which is characterized in that the method includes：
Analysis need to dispose the OS Type of monitoring service leaf node；
Monitoring service is disposed according to the OS Type.
2. the method according to claim 1, wherein described disposed according to the action type of the leaf node is supervised
Control service, including：
According to the action type of the leaf node, monitoring service model corresponding to selection operation type；
Deployment package and deployment script are sent to the leaf node according to the monitoring service model.
3. the method according to claim 1, wherein further including：Availability detection is carried out to the monitoring service,
After the detection passes through, according to the monitoring service collection monitoring data of deployment.
4. the method according to claim 1, wherein after according to the monitoring service collection monitoring data of deployment,
Further include：
When monitoring leaf node failure, the connection with the leaf node is disconnected；
After judging that the leaf node restores, the node is reconnected, and start the monitoring for collecting the leaf node
Data.
5. the method according to claim 1, wherein after according to the monitoring service collection monitoring data of deployment,
Further include：
The monitoring service is monitored, monitoring service is adjusted according to the monitoring data.
6. a kind of monitoring service disposes device, which is characterized in that described device includes analysis module, deployment module：
The analysis module, for analyzing the OS Type that need to dispose monitoring service leaf node；
The deployment module, for disposing monitoring service according to the OS Type.
7. device according to claim 6, which is characterized in that the deployment module is according to the operation class of the leaf node
Type disposes monitoring service, including：
The deployment module is according to the action type of the leaf node, monitoring service model corresponding to selection operation type；
The deployment module sends deployment package and deployment script to the leaf node according to the monitoring service model.
8. device according to claim 6, which is characterized in that further include availability detection module：The availability detection
Module after the detection passes through, is collected for carrying out availability detection to the monitoring service according to the monitoring service of deployment
Monitoring data.
9. device according to claim 6, which is characterized in that after the monitoring service collection monitoring data of deployment,
It further include monitoring module：
The monitoring is surveyed module and is adjusted according to the monitoring data to monitoring service for monitoring the monitoring service.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The step of any one of claim 1-5 the method is realized when execution.
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