CN110032488B - Monitoring system, method and device for specific nodes in cluster and service server - Google Patents
Monitoring system, method and device for specific nodes in cluster and service server 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
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
Abstract
The invention discloses a monitoring system, a method, a device and a service server of a specific node in a cluster, wherein the method comprises the following steps: receiving an indication message from a deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are redeployed according to deployment parameters set by a user and is used for indicating that the redeployment is completed on the specific nodes; the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise first monitoring index values of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed; and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data.
Description
Technical Field
The embodiment of the specification relates to the technical field of cluster monitoring, in particular to a monitoring system, method and device for specific nodes in a cluster and a service server.
Background
In some application scenarios, the operation condition of a specific node in the cluster needs to be monitored, for example, in an application scenario of releasing a new version, if a total release is performed for the whole server cluster, a great number of users may not be available due to potential problems of the new version, and the influence range is large. Based on the application scenario, after the new version is released on the specific node, the running condition of the specific node is monitored to evaluate the availability and stability of the new version.
Disclosure of Invention
Aiming at the technical problems, the embodiment of the specification provides a monitoring system, a method, a device and a service server for specific nodes in a cluster, and the technical scheme is as follows:
according to a first aspect of embodiments of the present specification, there is provided a monitoring system for a specific node in a cluster, the system comprising: the system comprises a deployment module, a monitoring module and a patrol module;
the deployment module is used for redeploying the specific nodes in the cluster according to the deployment parameters set by the user, and sending an indication message for indicating that the redeployment of the specific nodes is completed to the routing inspection module after the redeployment is completed;
the monitoring module is used for acquiring single-machine monitoring data of each node in the cluster based on a preset monitoring system;
and the inspection module is used for acquiring the single-machine monitoring data of the specific node from the monitoring module after receiving the indication message, and determining whether the specific node is abnormal or not according to the single-machine monitoring data.
According to a second aspect of embodiments of the present disclosure, there is provided a method for monitoring a specific node in a cluster, which is applied to a patrol module in the system according to the first aspect, where the method includes:
Receiving an indication message from a deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are redeployed according to deployment parameters set by a user and is used for indicating that the redeployment is completed on the specific nodes;
the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise first monitoring index values of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed;
and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data.
According to a third aspect of embodiments of the present specification, there is provided a monitoring apparatus for a specific node in a cluster, the apparatus comprising:
the message receiving module is used for receiving an indication message from the deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are subjected to the redeployment according to the deployment parameters set by the user and is used for indicating that the redeployment is finished for the specific nodes;
the first data acquisition module is used for acquiring the single-machine monitoring data of the specific node from the monitoring module, wherein the single-machine monitoring data of the specific node comprises a first monitoring index value of the specific node in a specified history period, and the specified history period at least comprises a first specified period after the specific node is redeployed;
And the detection module is used for determining whether the specific node is abnormal or not according to the acquired single machine monitoring data.
According to a fourth aspect of the embodiments of the present specification, there is provided a service server, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for monitoring a specific node in a cluster provided by the embodiments of the present specification when the processor executes the program.
According to the technical scheme provided by the embodiment of the specification, the indication message from the deployment module is sent by the deployment module after the deployment module finishes the redeployment of the specific node in the cluster according to the deployment parameter set by the user, and is used for indicating that the redeployment of the specific node is finished; the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise first monitoring index values of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed; and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data, and providing a set of platform capable of carrying out fine monitoring on the specific node in the cluster for a user, so that the user requirement is met, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the embodiments of the disclosure.
Further, not all of the effects described above need be achieved in any of the embodiments of the present specification.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present description, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a system architecture diagram of a monitoring system for a particular node in a cluster, as shown in an exemplary embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating an embodiment of a method for monitoring a specific node in a cluster according to an exemplary embodiment of the present disclosure;
FIG. 3 is a block diagram of an embodiment of a monitoring device for a specific node in a cluster according to an exemplary embodiment of the present disclosure;
fig. 4 shows a more specific service server hardware architecture schematic provided by the embodiments of the present disclosure.
Detailed Description
In order for those skilled in the art to better understand the technical solutions in the embodiments of the present specification, the technical solutions in the embodiments of the present specification will be described in detail below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification shall fall within the scope of protection.
Referring to fig. 1, a system architecture diagram of a monitoring system for a specific node in a cluster according to an exemplary embodiment of the present disclosure is shown, and as shown in fig. 1, the system includes a server cluster 110, a deployment module 120, a patrol module 130, and a monitoring module 140. First, the server cluster 110 may include several servers, for example, as shown in fig. 1, including servers 111 to 11n, which are distributed in different rooms (not shown in fig. 1) and may be used to process service requests of users; the deployment module 120, the inspection module 130, and the monitoring module 140 may be independent servers or may be a server cluster, which is not limited in this embodiment of the present disclosure.
The deployment module 120 may be configured to redeploy a specific node, for example, the server 111 to the server 115, in the server cluster 110 according to a deployment parameter set by a user, for example, perform a software/configuration upgrade, an application release, a new version release, etc. on the specific node, and send an indication message to the patrol module 130 after the redeployment is completed, where the indication message is used to indicate that the redeployment has been completed for the specific node.
The monitoring module 140 may be configured to obtain the monitoring data of each node in the server cluster 110 based on a preset monitoring system, for example, an xflush monitoring system, for convenience of description, the monitoring data of each node is referred to as stand-alone monitoring data, where the stand-alone monitoring data may include monitoring index values of a plurality of monitoring index items in a specified period, where a commonly used monitoring index item may include: system load rate, percentage of memory usage, percentage of disk usage, number of errors, amount of page views, number of offered services, average time spent per page view, number of database accesses, average time spent per database access, average time spent per invocation of system services, etc.
Those skilled in the art will understand that, based on the xflush monitoring system, not only the monitoring data of each node in the server cluster 110 may be obtained, but also the corresponding monitoring data may be counted from the cluster dimension and the machine room dimension, which is not limited in the embodiment of the present disclosure.
The inspection module 130 may be configured to obtain the single-machine monitoring data of the specific node from the monitoring module 140 after receiving the indication message, and determine whether the specific node is abnormal according to the obtained single-machine monitoring data, so as to determine whether the relocation is abnormal. As for the specific process of determining whether an abnormality occurs in a specific node by the inspection module 130 according to the acquired stand-alone monitoring data, the following description of the method embodiment may be referred to, which will not be described in detail herein.
In addition, after obtaining the detection result of whether the specific node is abnormal, the inspection module 130 may return the detection result to the display module (not shown in fig. 1) so that the user may make a next decision according to the detection result, for example, control the specific node to roll back, or perform full-scale distribution on the server cluster 110, etc.
From the above description, based on the monitoring system illustrated in fig. 1, a set of platform capable of performing fine monitoring on specific nodes in the cluster is provided for a user, so that the user requirements are met, and the user experience is improved.
The following describes a monitoring method for a specific node in a cluster according to the embodiment of the present disclosure from the perspective of the inspection module 130 based on the monitoring system illustrated in fig. 1.
Referring to fig. 2, a flowchart of an embodiment of a method for monitoring a specific node in a cluster according to an exemplary embodiment of the present disclosure is provided, and the method includes the following steps:
step 202: and receiving an indication message from the deployment module, wherein the indication message is sent by the deployment module after the particular node in the cluster is redeployed according to the deployment parameters set by the user and is used for indicating that the particular node is redeployed.
As can be seen from the related description of the system shown in fig. 1, after the deployment module 120 completes the redeployment of a specific node in the server cluster 110 according to the deployment parameters set by the user, an indication message for indicating that the redeployment of the specific node has completed may be sent to the patrol module 130.
In addition, the deployment module 120 may further send, to the patrol module 130, identification information of the specific node that completes the redeployment, for example, information of a domain name of the specific node, a redeployment completion time, and the like.
Step 204: and acquiring single-machine monitoring data of the specific node from the monitoring module, wherein the single-machine monitoring data of the specific node comprises a first monitoring index value of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed.
In the embodiment of the present specification, the inspection module 130 may acquire the stand-alone monitoring data of the specific node from the monitoring module 140, where the stand-alone monitoring data includes a monitoring index value of the specific node in a specified history period, and the monitoring index value is referred to as a first monitoring index value for convenience of description. The method aims at monitoring the operation condition of the specific node after the redeployment, so that the specified historical period at least comprises a specified period after the redeployment of the specific node is completed, and the specified period is called a first specified period for convenience of description.
In an embodiment, the starting time of the first specified period may be a specified time after the redeployment completion time, for example, the 5 th minute after the redeployment completion time, and the ending time may be determined according to the starting time and a specified time period, for example, 15 minutes, for example, the ending time is the 20 th minute after the redeployment is completed. By doing so, compared with setting the start time of the first designated period as the above-mentioned relocation completion time, the influence of the operations such as initialization, warm-up, etc. performed by the specific node after the relocation is completed on the subsequent detection can be effectively eliminated.
Based on the above description, in the embodiment of the present disclosure, the inspection module 130 may wait for a preset period of time, for example, 20 minutes after receiving the above indication message, and then acquire the stand-alone monitoring data of the specific node from the monitoring module 140.
Further, in the embodiment of the present specification, the above specified history period may further include a second specified period before the relocation of the specific node is completed, the second specified period being the same as the duration of the first specified period, for example, 15 minutes before the relocation of the specific node.
In addition, in the embodiment of the present disclosure, the inspection module 130 may further determine a machine room to which the specific node belongs, for convenience of description, the machine room to which the specific node belongs is referred to as a target machine room, for example, the inspection module 130 determines the target machine room from a machine room metadata management platform (not shown in fig. 1) according to identification information of the specific node. After determining the target machine room, the monitoring module 140 may obtain the single-machine monitoring data of other nodes except the specific node in the target machine room, where for convenience of description, the other nodes are referred to as non-specific nodes, and the single-machine monitoring data of the non-specific nodes includes a monitoring index value of the non-specific nodes in the first specified period, and for convenience of description, the monitoring index value is referred to as a second monitoring index value, that is, a monitoring index value of the non-specific nodes and the specific nodes in the same period is obtained.
It should be noted that the monitoring index value may include monitoring index values of a plurality of monitoring index items, and taking a certain monitoring index item as an example, the obtained first monitoring index value of the monitoring index item in the specified history period is a value sequence, that is, the first monitoring index value includes monitoring index values of a plurality of history moments of a specific node in the specified history period.
Step 206: and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data.
In the embodiment of the present disclosure, based on the stand-alone monitoring data obtained in the above step 204, it may be determined whether an abnormality occurs in a specific node.
In an embodiment, in order to determine whether an abnormality occurs in a specific node more accurately, the single machine monitoring index value of the specific node after redeployment can be analyzed from two aspects, on one hand, the single machine monitoring index value of the specific node after redeployment and the single machine monitoring index value before redeployment are compared and analyzed, and for convenience of description, in the embodiment of the present specification, the comparison analysis is referred to as ring ratio detection; on the other hand, the single machine monitoring index value of the redeployed specific node and the single machine monitoring index value of the non-specific node in the target machine room to which the single machine monitoring index value belongs are compared and analyzed, and for convenience of description, in the embodiment of the present specification, the comparison analysis is referred to as homonymy detection. Subsequently, whether the specific node is abnormal or not can be determined together according to the ring ratio detection result and the same ratio detection result.
The specific processes of ring ratio detection and homologous ratio detection are respectively described in detail as follows:
(1) And (3) ring ratio detection:
based on the above description, in the embodiment of the present specification, the ring ratio detection specifically refers to comparing and analyzing the first monitoring index value corresponding to the specific node in the first specified period with the first monitoring index value corresponding to the specific node in the second specified period, so as to obtain the ring ratio fluctuation ratio.
Specifically, taking a certain monitoring index item as an example, an average value of the first monitoring index values corresponding to the first specified period may be calculated, and for convenience of description, the average value is referred to as a redeployed average value and is recorded as d 1 And calculating an average value of the first monitoring index values corresponding to the second designated time period, wherein the average value is referred to as a pre-redeployment average value and is marked as d for convenience of description 2 The method comprises the steps of carrying out a first treatment on the surface of the Subsequently, the ring ratio fluctuation ratio P can be calculated according to the following formula (I) 1 。
(2) And (3) detecting the same ratio:
based on the above description, in the embodiment of the present disclosure, the detection of the same ratio specifically refers to comparing and analyzing a first monitoring index value corresponding to a specific node in the first specified period with a second monitoring index value corresponding to an unspecified node in the target machine room in the first specified period, so as to obtain a fluctuation ratio of the same ratio.
Specifically, taking a certain monitoring index item as an example, the average value d after redeployment of the first monitoring index value corresponding to the first specified period may be calculated 1 And calculating an average value of the second monitor index values corresponding to the first specified period, which is referred to as a time period average value and denoted as d for convenience of description 3 The method comprises the steps of carrying out a first treatment on the surface of the Subsequently, the ratio fluctuation ratio P can be calculated according to the following formula (II) 2 。
In addition, in the embodiment of the present disclosure, in consideration of that if the target machine room has a large number of non-specific nodes, and thus if the patrol module 130 obtains the second monitoring index value of each non-specific node from the monitoring module 140, it is necessary to consume a large amount of network resources, in this embodiment of the present disclosure, it is proposed that the patrol module 130 monitors from the monitoringThe module 140 obtains the total value of the overall monitoring index counted from the machine room dimension, and marks as S 1 Calculating the sum of the first monitoring index values corresponding to all the specific nodes in the first designated period, and recording as S 2 Thereafter, d is calculated by the following formula (III) 3 。
In the above formula (iii), m represents the number of unspecified nodes in the target machine room.
Thus, through the processing, network resources can be effectively saved.
The specific process of determining whether the specific node is abnormal or not together according to the ring ratio detection result and the same ratio detection result is described as follows:
in one embodiment, for any monitoring index item, the calculated ring ratio fluctuation ratio P for the monitoring index item can be used 1 Comparing with a preset ring ratio fluctuation threshold value, and calculating the same ratio fluctuation ratio P aiming at the monitoring index item 2 Comparing the ring ratio fluctuation ratio with a preset same ratio fluctuation threshold, and if the ring ratio fluctuation ratio is larger than the ring ratio fluctuation threshold and the same ratio fluctuation ratio is larger than the same ratio fluctuation threshold, determining that the specific node is abnormal.
In another embodiment, it is considered that in some special cases, for example, affected by the characteristics of the service itself, the monitoring index value is caused to fluctuate greatly in some time periods, so that the detection result obtained by the above-mentioned ring ratio detection and the same ratio detection has a large noise. Based on this, in the embodiment of the present specification, it is proposed that after a comparison result is obtained that the ring ratio fluctuation ratio is greater than the ring ratio fluctuation threshold and the same ratio fluctuation ratio is greater than the same ratio fluctuation threshold, noise filtering is further performed, and based on the result after the final noise filtering, whether or not an abnormality occurs in a specific node is determined.
First, the noise filtering proposed in the embodiments of the present specification is mainly considered based on two aspects:
first, as can be seen from the above formula (one) and formula (two), the sum of the values in the denominator (d 2 Or d 3 ) In the smaller case, d 1 Slight fluctuations will result in the calculated P 1 Or P 2 Larger, and d 1 The occurrence of slight fluctuation does not necessarily indicate the occurrence of abnormality of a specific node, based on which, in the embodiment of the present specification, it is proposed that after a comparison result is obtained that the corresponding ring ratio fluctuation ratio is greater than the ring ratio fluctuation threshold and the same ratio fluctuation ratio is greater than the same ratio fluctuation threshold, d is further determined 1 If the node is smaller than the preset filtering threshold, the specific node is considered to be abnormal; on the contrary, if d 1 If the node is not smaller than the preset filtering threshold value, the specific node can be considered to be abnormal. Secondly, in the same machine room and the same node, under the scene of uneven service flow carried in different time periods, namely service request distribution, the phenomenon that the ring ratio fluctuation proportion and the same ratio fluctuation proportion are larger can occur, for example, 1 user inquires the transaction information of the bank account under the name of the user in the second appointed time period, the number of the bank account under the name of the user is smaller, and the time is 10ms from the beginning of inquiry to the feedback of the inquiry result to the user; then, assuming that in the first specified period, 1 user still inquires about the transaction information of the bank account under the name of the user, but the number of the bank account under the name of the user is more, at this time, it takes 40ms from the beginning of the query to the feedback of the query results to the user, so it can be seen that in this scenario, the significant increase in time does not necessarily represent an anomaly in a particular node.
Based on this, in the embodiment of the present disclosure, for the time-consuming monitoring indicator item, after obtaining a comparison result that the corresponding ring ratio fluctuation ratio is greater than the ring ratio fluctuation threshold and the same ratio fluctuation ratio is greater than the same ratio fluctuation threshold, it may further determine whether the corresponding ring ratio fluctuation ratio belongs to a preset ring ratio fluctuation range, if so, further determine whether the number of service requests is less than the preset number threshold in the first specified period, and if so, determine that no abnormality occurs in the specific node; in addition, if the corresponding ring ratio fluctuation ratio does not belong to the ring ratio fluctuation range or belongs to the ring ratio fluctuation range, but the number of service requests is not less than the number threshold, it may be determined that an abnormality occurs in a specific node.
Based on the above description, in the embodiment of the present disclosure, for a certain monitoring indicator, after obtaining a comparison result that a corresponding ring ratio fluctuation ratio is greater than a ring ratio fluctuation threshold and a same ratio fluctuation ratio is greater than a same ratio fluctuation threshold, the type of the monitoring indicator may be further determined, where the type includes a time-consuming monitoring indicator and a time-consuming monitoring indicator, then a corresponding noise filtering rule is determined according to the type of the monitoring indicator, and if the corresponding noise filtering rule is not satisfied, it may be determined that an abnormality occurs in a specific node; otherwise, if the corresponding noise filtering rule is satisfied, it may be determined that no abnormality occurs in the specific node.
If the monitoring index item is a time-consuming monitoring index item, the noise filtering rule corresponding to the monitoring index item is a preset first noise filtering rule, and the first noise filtering rule may specifically be: the average value d after redeployment of the first monitoring index value corresponding to the first designated period 1 Less than a preset filtering threshold.
If the monitoring index item is a time-consuming monitoring index item, the noise filtering rule corresponding to the monitoring index item is a preset second noise filtering rule and the first noise filtering rule, where the second noise filtering rule specifically may be: the ring ratio fluctuation proportion belongs to a preset ring ratio fluctuation range, and the number of service requests is smaller than a preset number threshold value in a first designated period.
In addition, if the monitoring index item is a time-consuming monitoring index item, if one of the first noise filtering rule and the second noise filtering rule is not satisfied, it may be determined that an abnormality occurs in a specific node.
According to the technical scheme provided by the embodiment of the specification, the indication message from the deployment module is sent by the deployment module after the deployment module finishes the redeployment of the specific node in the cluster according to the deployment parameter set by the user, and is used for indicating that the redeployment of the specific node is finished; the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise first monitoring index values of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed; and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data, and providing a set of platform capable of carrying out fine monitoring on the specific node in the cluster for a user, so that the user requirement is met, and the user experience is improved.
Corresponding to the above method embodiments, the present disclosure further provides a monitoring device for a specific node in a cluster, referring to fig. 3, which is a block diagram of an embodiment of the monitoring device for a specific node in a cluster according to an exemplary embodiment of the present disclosure, where the device may include: a message receiving module 31, a first data acquisition module 32, and a detection module 33.
The message receiving module 31 is configured to receive an indication message from the deployment module, where the indication message is sent by the deployment module after the deployment module finishes the redeployment on a specific node in the cluster according to a deployment parameter set by a user, and is used to indicate that the redeployment is finished on the specific node;
a first data obtaining module 32, configured to obtain, from a monitoring module, stand-alone monitoring data of the specific node, where the stand-alone monitoring data of the specific node includes a first monitoring index value of the specific node in a specified history period, and the specified history period includes at least a first specified period after the specific node is redeployed;
and the detection module 33 is used for determining whether the specific node is abnormal according to the acquired single machine monitoring data.
In an embodiment, the specified history period further comprises a second specified period before the relocation is completed for the particular node;
The apparatus may further comprise (not shown in fig. 3):
the machine room determining module is used for determining a target machine room to which the specific node belongs;
and the second data acquisition module is used for acquiring single-machine monitoring data of the non-specific node in the target machine room from the monitoring module, wherein the single-machine monitoring data of the non-specific node comprises a second monitoring index value of the non-specific node in the first designated period.
In one embodiment, the detection module 33 may include (not shown in fig. 3):
the ring ratio calculation sub-module is used for calculating the ring ratio fluctuation ratio according to the first monitoring index value corresponding to the first appointed time period and the first monitoring index value corresponding to the second appointed time period;
the same ratio calculation sub-module is used for calculating the same ratio fluctuation ratio according to the first monitoring index value and the second monitoring index value corresponding to the first designated period;
and the determining submodule is used for determining whether the specific node is abnormal or not according to the ring ratio fluctuation proportion and the same ratio fluctuation proportion.
In one embodiment, the loop ratio calculation sub-module may include (not shown in fig. 3):
the first calculation sub-module is used for calculating a redeployed average value of the first monitoring index value corresponding to the first designated period;
The second calculating sub-module is used for calculating the average value before redeployment of the first monitoring index value corresponding to the second designated time segment;
and the third calculation sub-module is used for calculating the ring ratio fluctuation proportion according to the average value after redeployment and the average value before redeployment.
In one embodiment, the homography calculation sub-module may include (not shown in FIG. 3):
a fourth calculation sub-module, configured to calculate a redeployed average value of the first monitoring index values corresponding to the first specified period;
a fifth calculation sub-module, configured to calculate a mean value of the second monitoring index value in a period of time;
and a sixth calculation sub-module, configured to calculate a ring ratio fluctuation ratio according to the redeployed average value and the average value of the simultaneous periods.
In one embodiment, the determination submodule may include (not shown in fig. 3):
the comparison sub-module is used for comparing the ring ratio fluctuation proportion with a preset ring ratio fluctuation threshold value and comparing the same ratio fluctuation proportion with a preset same ratio fluctuation threshold value;
and the result determining submodule is used for determining that the specific node is abnormal if the ring ratio fluctuation proportion is larger than the ring ratio fluctuation threshold value and the same ratio fluctuation proportion is larger than the same ratio fluctuation threshold value through comparison.
In one embodiment, the result determination submodule may include (not shown in fig. 3):
the type determining submodule is used for determining the type of the monitoring index item, wherein the type comprises a time-consuming monitoring index item and a non-time-consuming monitoring index item;
the rule determining submodule is used for determining a corresponding noise filtering rule according to the type of the monitoring index item;
and the determining submodule is used for determining that the specific node is abnormal if the corresponding noise filtering rule is not met.
In an embodiment, the rule determination submodule is specifically configured to:
if the type of the monitoring index item is the non-time-consuming monitoring index, determining a noise filtering rule corresponding to the monitoring index item as a preset first noise filtering rule; if the type of the monitoring index item is a time-consuming monitoring index, determining that a noise filtering rule corresponding to the monitoring index item is a preset first noise filtering rule and a preset second noise filtering rule;
if the type of the monitoring index item is a time-consuming monitoring index, the determining submodule is specifically configured to:
and if the first noise filtering rule is not satisfied and/or the second noise filtering rule is not satisfied, determining that the specific node is abnormal.
In an embodiment, the first noise filtering rule includes: the average value of the redeployed first monitoring index values corresponding to the first designated period is smaller than a preset filtering threshold value;
the second noise filtering rule includes: the ring ratio fluctuation proportion belongs to a preset ring ratio fluctuation range, and the number of service requests is smaller than a preset number threshold value in the first appointed period.
It will be appreciated that the message receiving module 31, the first data acquiring module 32, and the detecting module 33 may be configured in the apparatus as three modules with independent functions, or may be configured in the apparatus separately as shown in fig. 3, and therefore, the configuration shown in fig. 3 should not be construed as limiting the embodiment of the present disclosure.
In addition, the implementation process of the functions and roles of each module in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.
The embodiment of the present disclosure also provides a service server, which at least includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the foregoing method for monitoring a specific node in a cluster when executing the program. The method at least comprises the following steps: receiving an indication message from a deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are redeployed according to deployment parameters set by a user and is used for indicating that the redeployment is completed on the specific nodes; the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise first monitoring index values of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed; and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data.
Fig. 4 is a schematic diagram of a more specific service server hardware structure according to an embodiment of the present disclosure, where the apparatus may include: processor 410, memory 420, input/output interface 430, communication interface 440, and bus 450. Wherein processor 44, memory 420, input/output interface 430 and communication interface 440 are communicatively coupled to each other within the device via bus 450.
The processor 410 may be implemented by a general-purpose CPU (Central Processing Unit ), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 420 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 420 may store an operating system and other application programs, and when the technical solutions provided by the embodiments of the present specification are implemented in software or firmware, the relevant program codes are stored in memory 420 and invoked for execution by processor 410.
The input/output interface 430 is used to connect with an input/output module to realize information input and output. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
The communication interface 440 is used to connect communication modules (not shown) to enable communication interactions of the device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).
Bus 450 includes a path to transfer information between components of the device (e.g., processor 410, memory 420, input/output interface 430, and communication interface 440).
It should be noted that although the above device only shows the processor 410, the memory 420, the input/output interface 430, the communication interface 440, and the bus 450, in the implementation, the device may further include other components necessary to achieve normal operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
The embodiments of the present disclosure also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the aforementioned method for monitoring a specific node in a cluster. The method at least comprises the following steps: receiving an indication message from a deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are redeployed according to deployment parameters set by a user and is used for indicating that the redeployment is completed on the specific nodes; the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise first monitoring index values of the specific node in a specified historical period, and the specified historical period at least comprises a first specified period after the specific node is redeployed; and determining whether the specific node is abnormal or not according to the acquired single machine monitoring data.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
From the foregoing description of embodiments, it will be apparent to those skilled in the art that the present embodiments may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the embodiments of the present specification may be embodied in essence or what contributes to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present specification.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. A typical implementation device is a computer, which may be in the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or a combination of any of these devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points. The apparatus embodiments described above are merely illustrative, in which the modules illustrated as separate components may or may not be physically separate, and the functions of the modules may be implemented in the same piece or pieces of software and/or hardware when implementing the embodiments of the present disclosure. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The foregoing is merely a specific implementation of the embodiments of this disclosure, and it should be noted that, for a person skilled in the art, several improvements and modifications may be made without departing from the principles of the embodiments of this disclosure, and these improvements and modifications should also be considered as protective scope of the embodiments of this disclosure.
Claims (16)
1. A monitoring system for a particular node in a cluster, the system comprising: the system comprises a deployment module, a monitoring module and a patrol module;
the deployment module is used for redeploying the specific nodes in the cluster according to the deployment parameters set by the user, and sending an indication message for indicating that the redeployment of the specific nodes is completed to the routing inspection module after the redeployment is completed;
the monitoring module is used for acquiring single-machine monitoring data of each node in the cluster based on a preset monitoring system;
the inspection module is used for acquiring single-machine monitoring data of the specific node from the monitoring module after receiving the indication message, and determining whether the specific node is abnormal or not according to the single-machine monitoring data;
the single machine monitoring data of the specific node comprises a first monitoring index value of the specific node in a specified history period, wherein the specified history period at least comprises a first specified period after the specific node is redeployed and a second specified period before the specific node is redeployed;
the inspection module is further used for determining a target machine room to which the specific node belongs, acquiring single-machine monitoring data of the non-specific node in the target machine room from the monitoring module, wherein the single-machine monitoring data of the non-specific node comprises a second monitoring index value of the non-specific node in the first designated period;
The determining whether the specific node is abnormal according to the stand-alone monitoring data comprises the following steps:
calculating the ring ratio fluctuation ratio according to the first monitoring index value corresponding to the first designated period and the first monitoring index value corresponding to the second designated period;
calculating the same-ratio fluctuation ratio according to the first monitoring index value and the second monitoring index value corresponding to the first designated period;
and determining whether the specific node is abnormal according to the ring ratio fluctuation proportion and the homonymous fluctuation proportion.
2. A method for monitoring a specific node in a cluster, applied to a patrol module in the system of claim 1, the method comprising:
receiving an indication message from a deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are redeployed according to deployment parameters set by a user and is used for indicating that the redeployment is completed on the specific nodes;
the method comprises the steps that single-machine monitoring data of a specific node are obtained from a monitoring module, wherein the single-machine monitoring data of the specific node comprise a first monitoring index value of the specific node in a specified history period, and the specified history period at least comprises a first specified period after the specific node is subjected to redeployment and a second specified period before the specific node is subjected to redeployment;
Determining a target machine room to which the specific node belongs;
acquiring single-machine monitoring data of a non-specific node in the target machine room from the monitoring module, wherein the single-machine monitoring data of the non-specific node comprises a second monitoring index value of the non-specific node in the first appointed period;
determining whether the specific node is abnormal according to the acquired single machine monitoring data comprises the following steps:
calculating the ring ratio fluctuation ratio according to the first monitoring index value corresponding to the first designated period and the first monitoring index value corresponding to the second designated period;
calculating the same-ratio fluctuation ratio according to the first monitoring index value and the second monitoring index value corresponding to the first designated period;
and determining whether the specific node is abnormal according to the ring ratio fluctuation proportion and the homonymous fluctuation proportion.
3. The method of claim 2, the calculating the ring ratio fluctuation ratio from the first monitor index value, comprising:
calculating a redeployed average value of the first monitoring index values corresponding to the first designated period;
calculating a pre-redeployment average value of the first monitoring index value corresponding to the second designated time segment;
And calculating the ring ratio fluctuation proportion according to the average value after redeployment and the average value before redeployment.
4. The method of claim 2, the calculating a homonymous fluctuation ratio from the first and second monitor indicator values comprising:
calculating a redeployed average value of the first monitoring index values corresponding to the first designated period;
calculating a mean value of the second monitoring index value in the same time period;
and calculating the ring ratio fluctuation proportion according to the average value after redeployment and the average value of the same time period.
5. The method of claim 2, the determining whether the particular node is abnormal based on the ring ratio fluctuation ratio and the homonymous fluctuation ratio, comprising:
comparing the ring ratio fluctuation proportion with a preset ring ratio fluctuation threshold value, and comparing the same ratio fluctuation proportion with a preset same ratio fluctuation threshold value;
and if the ring ratio fluctuation proportion is larger than the ring ratio fluctuation threshold value and the same ratio fluctuation proportion is larger than the same ratio fluctuation threshold value, determining that the specific node is abnormal.
6. The method of claim 5, the determining that the particular node is abnormal comprising:
Determining the type of the monitoring index item, wherein the type comprises a time-consuming monitoring index item and a non-time-consuming monitoring index item;
determining a corresponding noise filtering rule according to the type of the monitoring index item;
and if the corresponding noise filtering rule is not satisfied, determining that the specific node is abnormal.
7. The method of claim 6, the determining a corresponding noise filtering rule according to the type of the monitoring indicator term, comprising:
if the type of the monitoring index item is the non-time-consuming monitoring index, determining a noise filtering rule corresponding to the monitoring index item as a preset first noise filtering rule;
if the type of the monitoring index item is a time-consuming monitoring index, determining that a noise filtering rule corresponding to the monitoring index item is a preset first noise filtering rule and a preset second noise filtering rule;
if the type of the monitoring index item is a time-consuming monitoring index, and if the corresponding noise filtering rule is not satisfied, determining that the specific node is abnormal includes:
and if the first noise filtering rule is not satisfied and/or the second noise filtering rule is not satisfied, determining that the specific node is abnormal.
8. The method of claim 7, the first noise filtering rule comprising: the average value of the redeployed first monitoring index values corresponding to the first designated period is smaller than a preset filtering threshold value;
the second noise filtering rule includes: the ring ratio fluctuation proportion belongs to a preset ring ratio fluctuation range, and the number of service requests is smaller than a preset number threshold value in the first appointed period.
9. A monitoring apparatus for a particular node in a cluster, the apparatus comprising:
the message receiving module is used for receiving an indication message from the deployment module, wherein the indication message is sent by the deployment module after the specific nodes in the cluster are subjected to the redeployment according to the deployment parameters set by the user and is used for indicating that the redeployment is finished for the specific nodes;
the first data acquisition module is used for acquiring the single-machine monitoring data of the specific node from the monitoring module, wherein the single-machine monitoring data of the specific node comprises a first monitoring index value of the specific node in a specified history period, and the specified history period at least comprises a first specified period after the specific node is subjected to redeployment and a second specified period before the specific node is subjected to redeployment;
The machine room determining module is used for determining a target machine room to which the specific node belongs;
the second data acquisition module is used for acquiring single-machine monitoring data of the non-specific node in the target machine room from the monitoring module, wherein the single-machine monitoring data of the non-specific node comprises a second monitoring index value of the non-specific node in the first designated period;
the detection module is used for determining whether the specific node is abnormal or not according to the acquired single machine monitoring data;
the detection module comprises:
the ring ratio calculation sub-module is used for calculating the ring ratio fluctuation ratio according to the first monitoring index value corresponding to the first appointed time period and the first monitoring index value corresponding to the second appointed time period;
the same ratio calculation sub-module is used for calculating the same ratio fluctuation ratio according to the first monitoring index value and the second monitoring index value corresponding to the first designated period;
and the determining submodule is used for determining whether the specific node is abnormal or not according to the ring ratio fluctuation proportion and the same ratio fluctuation proportion.
10. The apparatus of claim 9, the loop ratio calculation submodule comprising:
the first calculation sub-module is used for calculating a redeployed average value of the first monitoring index value corresponding to the first designated period;
The second calculating sub-module is used for calculating the average value before redeployment of the first monitoring index value corresponding to the second designated time segment;
and the third calculation sub-module is used for calculating the ring ratio fluctuation proportion according to the average value after redeployment and the average value before redeployment.
11. The apparatus of claim 9, the homonymy computation submodule comprising:
a fourth calculation sub-module, configured to calculate a redeployed average value of the first monitoring index values corresponding to the first specified period;
a fifth calculation sub-module, configured to calculate a mean value of the second monitoring index value in a period of time;
and a sixth calculation sub-module, configured to calculate a ring ratio fluctuation ratio according to the redeployed average value and the average value of the simultaneous periods.
12. The apparatus of claim 9, the determination submodule comprising:
the comparison sub-module is used for comparing the ring ratio fluctuation proportion with a preset ring ratio fluctuation threshold value and comparing the same ratio fluctuation proportion with a preset same ratio fluctuation threshold value;
and the result determining submodule is used for determining that the specific node is abnormal if the ring ratio fluctuation proportion is larger than the ring ratio fluctuation threshold value and the same ratio fluctuation proportion is larger than the same ratio fluctuation threshold value through comparison.
13. The apparatus of claim 12, the result determination submodule comprising:
the type determining submodule is used for determining the type of the monitoring index item, wherein the type comprises a time-consuming monitoring index item and a non-time-consuming monitoring index item;
the rule determining submodule is used for determining a corresponding noise filtering rule according to the type of the monitoring index item;
and the determining submodule is used for determining that the specific node is abnormal if the corresponding noise filtering rule is not met.
14. The apparatus of claim 13, the rule determination submodule is specifically configured to:
if the type of the monitoring index item is the non-time-consuming monitoring index, determining a noise filtering rule corresponding to the monitoring index item as a preset first noise filtering rule;
if the type of the monitoring index item is a time-consuming monitoring index, determining that a noise filtering rule corresponding to the monitoring index item is a preset first noise filtering rule and a preset second noise filtering rule;
if the type of the monitoring index item is a time-consuming monitoring index, the determining submodule is specifically configured to:
and if the first noise filtering rule is not satisfied and/or the second noise filtering rule is not satisfied, determining that the specific node is abnormal.
15. The apparatus of claim 14, the first noise filtering rule comprising: the average value of the redeployed first monitoring index values corresponding to the first designated period is smaller than a preset filtering threshold value;
the second noise filtering rule includes: the ring ratio fluctuation proportion belongs to a preset ring ratio fluctuation range, and the number of service requests is smaller than a preset number threshold value in the first appointed period.
16. A service server comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 2-8 when the program is executed by the processor.
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