CN110262944A - The method that a kind of pair of K8s cluster container resource is monitored and is alerted - Google Patents
The method that a kind of pair of K8s cluster container resource is monitored and is alerted Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/301—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is a virtual computing platform, e.g. logically partitioned systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
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Abstract
The invention discloses the methods that a kind of pair of K8s cluster container resource is monitored and is alerted, by the CPU/ memory etc. for monitoring cluster server container, and after container group is rescheduled, uninterruptedly single container group resource is monitored, to be monitored to the application service under the setting of different copy situations, and situations such as monitoring the connection number of entire Intranet/outer net, to get the polymerization monitoring data of multiple containers group, then the polymerization monitoring data monitored is sent to user in real time with alarm mode, and shows these polymerization monitoring datas in different ways；To realize the fine-grained management to Kubernetes cluster container, facilitates investigation problem source and handle problem in time.
Description
Technical field
The present invention relates to server resource monitoring technology field, in particular to a kind of pair of K8s cluster container resource is supervised
The method controlled and alerted.
Background technique
With the continuous maturation of cloud computing technology, container technique gradually becomes the Hot spots for development of industry, and container technique is more next
More is applied in the every field of information industry, and the demand of monitoring and the management of container cluster service system is also just increasingly
Greatly.The administrative center that Kubernetes is applied as container is managed the life cycle of all containers of cluster internal,
In conjunction with the survival health of itself and ready inspection and fault recovering mechanism, the High Availabitity of the application layer of cluster container is realized.
While container cluster provides powerful convenient, how continual monitoring effectively to be carried out to all applications in cluster, and
The polymerization monitoring data that multiple containers group carries out is obtained, how the abnormal data of monitoring are alerted out the emphasis as research.
Therefore, how monitoring of containers cluster, how the CPU/ memory etc. of effective monitoring cluster server container, and in container
The container resource that group is rescheduled uninterruptedly is monitored, and the resource situation of all container groups is monitored, and how to be monitored in entire
Problem is simultaneously sent to user as problem to be solved with alarm mode in time by situations such as net/outer net connection number.
Summary of the invention
It is insufficient in above-mentioned background technique the purpose of the present invention is overcoming, a kind of pair of K8s cluster container resource is provided and is supervised
The method controlled and alerted monitors the CPU/ memory etc. of cluster server container, can be with and after container group is rescheduled
Uninterruptedly single container group resource is monitored, the application service under different copy situations being arranged is monitored, and is supervised
Situations such as controlling the connection number of entire Intranet/outer net gets the polymerization monitoring data of multiple containers group, then poly- by what is monitored
It closes monitoring data and user is sent to alarm mode in real time, and show these polymerization monitoring datas in different ways；To realize
Fine-grained management to Kubernetes cluster container facilitates investigation problem source and handles problem in time.
In order to reach above-mentioned technical effect, the present invention takes following technical scheme:
The method that a kind of pair of K8s cluster container resource is monitored and is alerted, comprising the following steps:
A. the yml configuration file of Prometheus is write, monitoring objective is arranged in installation and deployment monitoring service；
B. configuration file is write, and the file for loading monitoring data is subjected to carry；To realize real-time collecting with it is synchronous
The polymerization monitoring data of container group, and the function that historical data is stored；
C. the concept for utilizing K8s container cluster NameSpace, is isolated the service of each NameSpace and its deployment；
D. after user logs on to container cloud platform, application deployment service, send service request, by container cloud platform according to
The API of K8s will be on the service Automatic dispatching to some node；
E. the application service grouping disposed for different users, then the container group under respectively different application services is beaten
Label；The aggregated data for needing to monitor to inform monitoring system；
F. G is entered step when the node of application service scheduling is normal, node exception or user in application service scheduling
When manually adjusting the scheduling node and copy amount of application service, H is entered step；
G.Prometheus obtains all appearances under application service to node_exporter according to the grouping and label of step E
The polymerization monitoring data of device group；
H. reschedule container group, the label of application service group is constant, modify container group label, by Prometheus according to
Newly-generated group label obtains the polymerization monitoring data of all container groups under application service to node_exporter；
I. according to the polymerization monitoring data monitored, parameter needed for configuration alerts and alarm regulation are arranged alarm object, accuse
Alert threshold value, triggering rule；Configuration alarm contact method；
J. the application service of accessing step D deployment, generates the consumption of server resource, the discrepancy of flow；
K. it when server resource data belong within the scope of the alarm threshold of setting, is sent out by the alarm contact method configured
Send alarm data；
L. installation and deployment graphical interfaces display systems, and associate with the container cluster of detection and monitoring.
It further, further include the polymerization supervising data storage that will monitor in the step I in cloud database, it is described
Step L further includes that graphical interfaces display systems obtain the polymerization monitoring data and are shown from cloud database.
Further, exhibition method includes instrument when the graphical interfaces display systems are shown polymerization monitoring data
Disk, histogram, line chart, point diagram, pie chart, table；Then user can be visually seen the flow that certain application generates, the resource of occupancy
Deng, and the resource service condition of integrity service device can be can be visually seen.
Further, the monitoring objective in the step A includes system CPU and/or memory.
Further, the alarm contact method configured in the step I includes mailbox or short message, it also can be used in practice
His mode such as pushes wechat notice, voice call notice.
Further, the alarm data in the step K includes alarm object, alerts problem, sender, the mark of alarm
Topic.
Further, the alarm object in the step I includes the service disposed on cluster server, certain application service
It polymerize the monitoring data of monitoring data and the single container group under application service.
Further, the monitoring data of the container group includes clustered node CPU usage or usage amount, memory usage
Or usage amount, disk utilization rate, disk writing rate, system load, uplink traffic or downlink traffic, container node situation.
Further, the triggering rule in the step I includes according to cluster container CPU usage or usage amount, memory
Utilization rate or usage amount, disk utilization rate, disk writing rate, system load, uplink traffic or downlink traffic, container node feelings
Condition is more than or is less than alarm threshold and just generates alarm.
Further, further include step M: user logs in container cloud platform, and the polymerization of inquiry deployment application service monitors number
According to or user access the service disposed by container cloud platform, generation actual flow inquires the polymerization monitoring data of actual use.
Compared with prior art, the present invention have it is below the utility model has the advantages that
Monitoring cluster clothes may be implemented in the method that K8s cluster container resource is monitored and is alerted of the invention
The CPU/ memory etc. of business device container, and after container group is rescheduled, uninterruptedly single container group resource can be supervised
Control, the application service under different copy situations being arranged are monitored, and monitor the feelings such as the connection number of entire Intranet/outer net
Condition gets the polymerization monitoring data of multiple containers group, then sends out the polymerization monitoring data monitored with alarm mode in real time
It send to user, and shows these polymerization monitoring datas in different ways；To realize to the fine of Kubernetes cluster container
Change management, facilitates investigation problem source and handle problem in time.
Detailed description of the invention
Fig. 1 is the flow diagram that polymerization monitoring data is obtained in method of the invention.
Fig. 2 is to be illustrated in method of the invention according to the process that the polymerization monitoring data that monitoring system is collected into issues alarm
Figure.
Fig. 3 is the process for carrying out figure displaying in method of the invention according to the polymerization monitoring data that monitoring system is collected into
Schematic diagram.
Specific embodiment
Below with reference to the embodiment of the present invention, the invention will be further elaborated.
Embodiment:
Embodiment one:
As shown in Figure 1 to Figure 3, a kind of pair of K8s (Kubernetes) cluster container resource is monitored and is alerted
Method is applied to monitoring server resource situation, comprising the following steps:
Step 1: the yml configuration file of Prometheus, installation and deployment monitoring service, setting CPU/ memory/IO etc. are write
Monitoring objective.
Specifically, being that monitoring system service is used as Docker mirror on Quay.io Docker Hub in the present embodiment
As using, configuration volume be can be used as issued orders:
Docker run-p 9090:9090-v/ monitoring system-data
Prom/ monitoring system -- config.file=/monitoring system-data/ monitoring system .yml
Dockfile is as follows:
The source FROM
ADD monitoring system .yml etc/ monitoring system
It constructs and runs order:
Docker build-t monitoring system
Docker run-p 9090:9090 monitoring system
Step 2: writing configuration file, and the file that will load monitoring data carries out carry, to realize real-time collecting and
The polymerization monitoring data of synchronous container group, and realize the function of storing historical data.
Step 3: using the concept of Kubernetes container cluster NameSpace, to each NameSpace and its deployment
Service is isolated.
Step 4: after user logs on to container cloud platform, application deployment service sends service request, and then container cloud is flat
Platform will be on the service Automatic dispatching to some node according to the API of K8S.
Step 5: it is grouped for the application service that different users disposes, then the appearance under respectively different application services
Device group labels, the aggregated data for needing to monitor to inform monitoring system.
Specifically, after node_exporter collection monitoring data, monitoring system can be according to the clothes of distribution in the present embodiment
Monitoring data is carried out classification monitoring and collects storage by the different labels of business grouping and the container group under service.
Step 6: if the node of application service scheduling is under normal circumstances, Prometheus is according to the group and label of step 5
The polymerization monitoring data of all container groups under application service is obtained to node_exporter.
Specifically: under application service normal operation, container group is constant, and container group quantity is constant, at this time service group and
The label of container group will not change, and monitoring system can directly acquire current application service and the label of container group carries out polymerization prison
Control.
If container group can be rescheduled under the node abnormal conditions of application service scheduling, the application that step 5 generates is taken
Business group label is constant, and container group label can be modified, and then Prometheus is according to newly-generated group label to node_
Exporter obtains the polymerization monitoring data of all container groups under application service.
Specifically: such as there is situations such as node loss extremely in node, application service can be rescheduled to other sections
Point, to guarantee the high availability of application range, at this point, container group can regenerate, i.e., the label of container group can be regenerated, but
Application service group where being container group does not change, and container group can be obtained according to group where application service at this time, to obtain
The label of extracting container group, then monitoring system obtains current application service and the label of container group carries out polymerization monitoring.
In the case where rescheduling, become the container group of new schedule creating from old container group, at this point, old application service group
Alternate with the label of new opplication service group, monitoring system according to there is currently application service group label to node_exporter
Obtain the polymerization monitoring data of all container groups under application service.
If container group is adjusted again in the case that user manually adjusts the scheduling node and copy amount of application service
Degree, the application service group label that step 5 generates is constant, and container group label can be modified, and then Prometheus is according to newly-generated
Group label to node_exporter obtain application service under all container groups polymerization monitoring data.
If specifically: there is number of copies situation needed for user manually adjusts the dispatch situation of application service or modifies, answers
Other nodes can be rescheduled to service, and adjust number of copies, to guarantee the high availability of application range, at this point, container
Group can regenerate, i.e., the label of container group can regenerate, but application service group where container group does not change, at this time
Container group can be obtained according to group where application service, to obtain the label of container group, then monitoring system acquisition is currently answered
Polymerization monitoring is carried out with the label of service and container group.
In the case where rescheduling, become the container group of new schedule creating from old container group, at this point, old application service group
Alternate with the label of new opplication service group, monitoring system according to there is currently application service group label to node_exporter
Obtain the polymerization monitoring data of all container groups under application service.
Step 7: the polymerization monitoring data monitored according to monitoring system, parameter needed for configuration alerts and alarm regulation, if
Set alarm object, alarm threshold, triggering rule.
Specially include:
alerting:
Alert_relabel_configs will be more than that the data configured are warned before being sent to alert manager
Report.It checks which alarm is in movable state, including to be processed and triggering, hangs up either triggering when alarm is in
When state, one state of label, not in these states, labeled as out-of-date.
Alertmanagers includes setting: alerting delay time for the first time, quickly embodies the time, repeats reminder time, if
Set the content of alert manager alarm to specified server and with the communication mode of given server.
Alarm object includes: the service disposed on cluster server, the polymerization monitoring data of certain application service, and application
The monitoring data of single container group under service includes: clustered node CPU usage/usage amount, memory usage/usage amount,
Disk utilization rate, disk writing rate, system load, uplink/downlink flow, container node situation etc..
Triggering rule includes: according to cluster container CPU usage/usage amount, memory usage/usage amount, disk is used
Rate, disk writing rate, system load, uplink/downlink flow, container node situation etc. are more than or are less than certain threshold value and just generate announcement
It is alert.
Step 8: the application service that operating procedure four is disposed generates the consumption of server resource, the discrepancy of flow, and
When server resource data are belonged within the scope of the alarm threshold of setting, alarm data is sent by the alarm contact method configured.
Specially seven layers of access rule are arranged by application service in user, are operated in web page, then can generate stream
Amount, wherein if alarm contact method is mail, it is also necessary to carry out smtp server configuration, include configuration smtp server master
Machine, port, user name, password etc..Preferably, alarm data includes in the present embodiment: alarm object alerts problem, outbox
People, the title etc. of alarm.
Step 9: installation and deployment graphical interfaces display systems, and associate with the container cluster of detection and monitoring.
Specifically: by modifying the configuration file of graphical interface system, the address of the application service of dispensing containers cloud platform
And port, the address of configuration database storage realize the communication with container cloud platform, realize the communication with monitoring system.
Step 10: user logs in container cloud platform, and the polymerization monitoring data of application service is disposed in inquiry,
Specifically: graphical interface system obtains corresponding polymerization from monitoring system and monitors number according to the content of user query
According to instrument board, histogram, line chart, point diagram, pie chart, the modes such as table show that user can be visually seen certain application and generate
Flow, the resource etc. of occupancy can be visually seen the resource service condition of integrity service device.
Step 11: user accesses the service disposed by container cloud platform, generates actual flow, inquires actual use
It polymerize monitoring data.
Specifically: graphical interface system obtains corresponding polymerization from monitoring system and monitors number according to the content of user query
According to instrument board, histogram, line chart, point diagram, pie chart, the modes such as table show that user can be visually seen certain application and generate
Flow, the resource etc. of occupancy can be visually seen the resource service condition of integrity service device.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses
Mode, however the present invention is not limited thereto.For those skilled in the art, essence of the invention is not being departed from
In the case where mind and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.
Claims (10)
1. the method that a kind of pair of K8s cluster container resource is monitored and is alerted, which comprises the following steps:
A. the yml configuration file of Prometheus is write, monitoring objective is arranged in installation and deployment monitoring service；
B. configuration file is write, and the file for loading monitoring data is subjected to carry；
C. the concept for utilizing K8s container cluster NameSpace, is isolated the service of each NameSpace and its deployment；
D. after user logs on to container cloud platform, application deployment service sends service request, by container cloud platform according to K8s's
API will be on the service Automatic dispatching to some node；
E. the application service grouping disposed for different users, then the container group mark under respectively different application services
Label；
F. G is entered step when the node of application service scheduling is normal, it is manual in the node exception of application service scheduling or user
When adjusting the scheduling node and copy amount of application service, H is entered step；
G.Prometheus obtains all container groups under application service to node_exporter according to the grouping and label of step E
Polymerization monitoring data；
H. container group is rescheduled, the label of application service group is constant, container group label is modified, by Prometheus according to new life
At group label to node_exporter obtain application service under all container groups polymerization monitoring data；
I. according to the polymerization monitoring data monitored, parameter needed for configuration alerts and alarm regulation are arranged alarm object, alert threshold
Value, triggering rule；Configuration alarm contact method；
J. the application service of accessing step D deployment, generates the consumption of server resource, the discrepancy of flow；
K. it when server resource data belong within the scope of the alarm threshold of setting, is sent and is accused by the alarm contact method configured
Alert data；
L. installation and deployment graphical interfaces display systems, and associate with the container cluster of detection and monitoring.
2. the method that a kind of couple of K8s cluster container resource according to claim 1 is monitored and is alerted, feature
It is, further includes the polymerization supervising data storage that will monitor in the step I in cloud database, the step L further includes
Graphical interfaces display systems obtain the polymerization monitoring data and are shown from cloud database.
3. the method that a kind of couple of K8s cluster container resource according to claim 2 is monitored and is alerted, feature
It is, exhibition method includes instrument board, histogram, folding when the graphical interfaces display systems are shown polymerization monitoring data
Line chart, point diagram, pie chart, table.
4. the method that a kind of couple of K8s cluster container resource according to claim 1 is monitored and is alerted, feature
It is, the monitoring objective in the step A includes system CPU and/or memory.
5. the method that a kind of couple of K8s cluster container resource according to claim 1 is monitored and is alerted, feature
It is, the alarm contact method configured in the step I includes mailbox or short message.
6. the method that a kind of couple of K8s cluster container resource according to claim 1 is monitored and is alerted, feature
It is, the alarm data in the step K includes alarm object, alerts problem, sender, the title of alarm.
7. the method that a kind of couple of K8s cluster container resource according to claim 1 is monitored and is alerted, feature
It is, the alarm object in the step I includes the service disposed on cluster server, and the polymerization of certain application service monitors number
According to and application service under single container group monitoring data.
8. the method that a kind of couple of K8s cluster container resource according to claim 7 is monitored and is alerted, feature
It is, the monitoring data of the container group includes clustered node CPU usage or usage amount, memory usage or usage amount, magnetic
Disk utilization rate, disk writing rate, system load, uplink traffic or downlink traffic, container node situation.
9. the method that a kind of couple of K8s cluster container resource according to claim 8 is monitored and is alerted, feature
It is, the triggering rule in the step I includes according to cluster container CPU usage or usage amount, memory usage or use
Amount, disk utilization rate, disk writing rate, system load, uplink traffic or downlink traffic, container node situation are more than or do not surpass
It crosses alarm threshold and just generates alarm.
10. being monitored and being alerted to any a kind of pair of K8s cluster container resource in 9 according to claim 1
Method, which is characterized in that further include step M: user logs in container cloud platform, the polymerization monitoring data of inquiry deployment application service
Or user accesses the service disposed by container cloud platform, generates actual flow, inquires the polymerization monitoring data of actual use.
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