CN115442264A - Method and system for monitoring physical host ecology in cloud environment - Google Patents
Method and system for monitoring physical host ecology in cloud environment Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 113
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- 230000008569 process Effects 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 10
- 238000007405 data analysis Methods 0.000 claims description 6
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- 230000009286 beneficial effect Effects 0.000 abstract description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
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Abstract
The invention relates to the technical field of cloud service, in particular to a method for monitoring the ecology of a physical host in a cloud environment, which comprises the following steps that the ecology of the physical host is monitored and managed through a monitoring program, the monitoring program is deployed on a monitoring node, and a probe is not required to be implanted into a target physical host; acquiring the information and the state of physical host equipment through a substrate management controller, and meanwhile, having management capacity and executing a timing task to periodically monitor the physical host; the beneficial effects are that: the monitoring programs of the method and the system for monitoring the ecology of the physical host in the cloud environment are deployed on different nodes, all the nodes are input into the master control platform, the node IDs are generated and written into the configuration files of the monitoring programs of all the nodes, the node IDs can be authenticated every time the master control platform interacts with the monitoring programs, and the nodes can be successfully returned after the authentication is successful.
Description
Technical Field
The invention relates to the technical field of cloud service, in particular to a method and a system for monitoring the ecology of a physical host in a cloud environment.
Background
Nowadays, each large enterprise gradually realizes service cloudization, virtualizes the service of the enterprise, and for large enterprises with complex services, the requirement for more complex multi-cloud environment is increased day by day.
In the prior art, the situation of a multi-cloud network is increasingly complex, the demand for physical hosts is increasing, an increasingly large multi-cloud system needs more physical hosts as a support, and a large and high-frequency service request further increases the demand for a large number of servers. The ecology of the physical host becomes a serious factor, and the health of the physical host directly becomes a base point of cloud services.
Disclosure of Invention
The invention aims to provide a method and a system for monitoring the ecology of a physical host in a cloud environment, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a method for monitoring the ecology of a physical host in a cloud environment comprises the following steps:
the ecology of the physical host is monitored and managed through the monitoring program, the monitoring program is deployed on the monitoring node, and the probe is not required to be implanted into the target physical host;
acquiring equipment information and state of a physical host through a substrate management controller, and meanwhile, having management capability and executing a timing task to periodically monitor the physical host;
analyzing and aggregating the acquired data, setting a threshold, giving an alarm in real time when the threshold is exceeded, and controlling the process of monitoring and managing tasks.
Preferably, the monitoring program is deployed on the monitoring nodes, and the master control console detects the heartbeat of each monitoring node, so that the normal operation of the monitoring program is ensured, the monitoring nodes which cannot work are found in time, and the monitoring program is restarted in time.
Preferably, when the timing task is executed, each task may contain different index requirements, and each task of the monitoring program is analyzed and executed in the sub-thread; and the thread pool is adopted to meet the high-frequency and high-concurrency task requirements.
Preferably, the monitoring programs are light-weight microservice programs and are distributed and deployed in different regional nodes, the monitoring programs of all the nodes are uniformly scheduled by a master control platform, tasks are issued by the control platform, the control platform issues customized or same tasks to the monitoring nodes according to different node IDs, the monitoring nodes are responsible for executing the tasks and returning results or alarms, when the monitoring programs of a single node have problems, the master control platform can sense and capture the problems in time, the normal work of other nodes cannot be influenced, and the monitoring services of the monitoring nodes can be restarted in time.
Preferably, the monitoring program obtains various indexes and states of the physical host through a baseboard management controller of the physical host, and specifically, the monitoring program obtains index data and logs of the physical host through an intelligent platform management interface connected with the baseboard management controller.
A monitoring system for physical host ecology in a cloud environment is composed of a heartbeat module, an execution module and a data analysis processing module;
the heartbeat module is used for monitoring and managing the ecology of the physical host through a monitoring program, and the monitoring program is deployed on the monitoring node without implanting a probe into the target physical host;
the execution module is used for acquiring the equipment information and the state of the physical host through the baseboard management controller, has management capability and executes a timing task to periodically monitor the physical host;
and the data analysis processing module is used for analyzing and aggregating the acquired data, setting a threshold, giving an alarm in real time when the threshold is exceeded, and controlling the process of monitoring and managing tasks.
Preferably, in the heartbeat module, the monitoring program is deployed on the monitoring nodes, and the master control console detects the heartbeat of each monitoring node, so that the normal operation of the monitoring program is ensured, the monitoring nodes which cannot work are found in time, and the monitoring program is restarted in time.
Preferably, in the execution module, each task may include different index requirements, and each task of the monitoring program is analyzed and executed in a sub-thread; and the thread pool is adopted to meet the high-frequency and high-concurrency task requirements.
Preferably, in the heartbeat module, the monitoring programs are lightweight microservices, the monitoring programs are distributed and deployed in different area nodes, the monitoring programs of all the nodes are uniformly scheduled by the master control console, tasks are issued by the control console, the control console issues customized or same tasks to the monitoring nodes according to different node IDs, the monitoring nodes are responsible for executing the tasks and returning results or giving an alarm, when the monitoring programs of a single node have problems, the master control console can sense and capture the problems in time, the normal work of other nodes cannot be influenced, and the monitoring services of the monitoring nodes can be restarted in time.
Preferably, in the heartbeat module, the monitoring program obtains various indexes and states of the physical host through a baseboard management controller of the physical host, and the specific implementation is to obtain index data and logs of the physical host through an intelligent platform management interface connected with the baseboard management controller.
Compared with the prior art, the invention has the beneficial effects that:
the monitoring programs of the method and the system for monitoring the ecology of the physical host in the cloud environment are deployed on different nodes, all the nodes are input into the master control platform, the node IDs are generated and written into the configuration files of the monitoring programs of all the nodes, the node IDs can be authenticated every time the master control platform interacts with the monitoring programs, and the nodes can be successfully returned after the authentication is successful.
Drawings
FIG. 1 is a timing diagram of a main console and a monitoring program;
fig. 2 is a flowchart of the operation of the monitoring program.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clear and fully described, embodiments of the present invention are further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are illustrative of some, but not all, embodiments of the invention and are not to be construed as limiting the scope of the invention, as those skilled in the art will recognize and appreciate that many other embodiments can be made without inventive faculty.
In the description of the present invention, it should be noted that the terms "center", "middle", "upper", "lower", "left", "right", "inner", "outer", "top", "bottom", "side", "vertical", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "a," "an," "first," "second," "third," "fourth," "fifth," and "sixth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
For the purposes of simplicity and explanation, the principles of the embodiments are described by referring mainly to examples. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments. It will be apparent, however, to one skilled in the art that the embodiments may be practiced without these specific details. In some instances, well-known methods and structures have not been described in detail so as not to unnecessarily obscure the embodiments. In addition, all embodiments may be used in combination with each other.
Example one
The invention provides a technical scheme that: a method for monitoring the ecology of a physical host in a cloud environment is characterized in that: the method comprises the following steps:
the ecology of the physical host is monitored and managed through the monitoring program, the monitoring program is deployed on the monitoring node, and a probe is not required to be implanted into a target physical host; the monitoring program acquires the information and the state of the physical host equipment through the substrate management controller and has management capability; the monitoring program executes a timing task to periodically monitor the physical host; the monitoring program analyzes and aggregates the acquired data; setting a threshold value, and giving an alarm in real time when the threshold value is exceeded; and controlling the process of monitoring and managing tasks.
The monitoring program is a lightweight microservice program, is distributed and deployed in different area nodes to occupy less memory and CPU occupation, efficiently and rapidly collects performance data of a target physical machine, issues management tasks, and can timely push early warning and real-time warning information. The monitoring programs of all the nodes are uniformly scheduled by the master control platform, and the nodes are not divided into a master node and a slave node. When the monitoring program of a single node goes wrong, the master control platform can sense and capture in time, normal work of other nodes cannot be influenced, and monitoring services of the monitoring nodes can be restarted in time.
The monitoring program obtains various indexes and states of the physical host through a Baseboard Management Controller (BMC) of the physical host, and specifically, the monitoring program obtains index data and logs of the physical host through an Intelligent Platform Management Interface (IPMI) connected with the BMC. The intelligent platform management interface is a specification of out-of-band management of a computer, and has the advantages of supporting remote monitoring and not requiring permission of an operating system of a physical host; meanwhile, the intelligent platform management interface is not limited by an operating system; because the Baseboard Management Controller (BMC) shares one network card independently of the mainboard network, the intelligent platform management interface also has the capability of being remotely connected with the baseboard management controller even under the condition that the mainboard network is disconnected or the power supply of the mainboard is cut off. Through the intelligent platform management interface, the monitoring program can acquire the rack information and the state of the remote physical host in time; the power condition of the mainboard and a system restart log; each piece of hardware equipment information comprises information such as version, manufacturer and the like; recording sensor data and setting a threshold value; the stock data of all replaceable devices comprises information such as serial numbers, part numbers, asset tags and the like; SEL log and SOL configuration; detailed data such as brief summary of users, identity authentication and authority. And when the master control platform reads early warning or warning information from the remote physical host ecological data uploaded by the monitoring programs of the monitoring nodes, warning pushing is carried out to form ecological real-time monitoring of the physical host. Meanwhile, the physical host which is shut down is restarted, and the system logs of the remote physical host which are collected from all nodes can be analyzed to analyze the error reasons, so that the fault reasons can be accurately positioned, and the quick fault repair and alarm clearing are promoted.
The execution scheduling of the monitoring program completely comes from the master control console, and the master control console can realize the automatic monitoring of the ecology of the physical host through configuring a timing task. Meanwhile, based on the authority of the operator, the remote physical host needing to be managed is manually operated. For the collected data, because the data may be generated in a high-frequency periodic acquisition task, the master control station can integrate and process the data and obtain the average value and the standard deviation of all data of the monitored physical host, and can adjust all threshold values of the remote physical host according to the calculated data.
As each monitoring node is scheduled by the master control console, the periodic tasks received by the monitoring program may have customized tasks, and the monitoring program classifies according to the unique ID of the physical host, simultaneously screens out sensitive data, aggregates the data and uploads the aggregated data to the control console. The monitoring program has the characteristic of high concurrency, each task is processed efficiently, and differentiated processing that the monitoring tasks possibly contain different monitoring index items is effectively solved.
The method is different from threshold setting of firmware of each device in a physical host, the monitoring program also has various self-defined threshold indexes, the threshold can be used as an early warning condition, and early warning is provided for corresponding indexes aiming at sensitive data screened by the monitoring program. The alarm information is different from normal index data, is different from other data for classified storage, binds the task ID and the physical host ID, packs and pushes the task ID and the physical host ID to the master control console, avoids the inconvenience of processing mass information by the master control console, and the master control console only needs to find the designated alarm field and push out real-time alarm.
The execution process of the monitoring task is divided into four stages: the first stage is that the monitoring program is remotely connected with the physical host, three attempts will be made when the connection fails, and error information, a corresponding task ID and the unique ID of the physical host are returned to a master console together when the connection fails, so that the processing of an operator is waited; the second stage is to call the intelligent platform management interface and obtain data, the calling is successful and enters the analysis stage, and if the calling is failed, error information is returned to the master control console; the third stage is to analyze the data, if the analysis fails, an error message is returned to the master control station, and if the analysis succeeds, the fourth stage is entered; and in the fourth stage, the analyzed data is subjected to aggregation processing, and index data, logs and alarms are classified and uploaded to a master control console. Besides controlling the task execution process, the master control console calculates the total time of the whole task execution from the task start time to the task end time, and judges the timeliness of the task execution. Meanwhile, the master control console records the monitoring tasks which are not returned, judges the activity of each monitoring node through means such as heartbeat and the like, and analyzes the reasons for the tasks which are not executed through the logs of the monitoring programs.
Example two
A monitoring system for physical host ecology in a cloud environment is composed of a heartbeat module, an execution module and a data analysis processing module;
the heartbeat module is used for monitoring and managing the ecology of the physical host through a monitoring program, and the monitoring program is deployed on the monitoring node without implanting a probe into a target physical host; the monitoring program is deployed on the monitoring nodes, the master control console detects the heartbeat of each monitoring node, the normal operation of the monitoring program is ensured, the monitoring nodes which cannot work are found in time, and the monitoring program is restarted in time; the monitoring programs are light-weight microservices, the monitoring programs are distributed and deployed in different regional nodes, the monitoring programs of all the nodes are uniformly scheduled by the master control console, tasks are issued by the control console, the control console issues customized or same tasks to the monitoring nodes according to different node IDs, the monitoring nodes are responsible for executing the tasks and returning results or alarms, when the monitoring programs of a single node have problems, the master control console can sense and capture the problems in time, the normal work of other nodes cannot be influenced, and the monitoring services of the monitoring nodes can be restarted in time; the monitoring program acquires various indexes and states of the physical host through a substrate management controller of the physical host, and specifically realizes that index data and logs of the physical host are acquired by connecting an intelligent platform management interface with the substrate management controller;
the execution module is used for acquiring the information and the state of the physical host equipment through the substrate management controller, has management capability and executes a timing task to periodically monitor the physical host; each task may contain different index requirements, and each task of the monitoring program is analyzed and executed in the sub-thread; a thread pool is adopted to meet the high-frequency and high-concurrency task requirements;
and the data analysis processing module is used for analyzing and aggregating the acquired data, setting a threshold, giving an alarm in real time when the threshold is exceeded, and controlling the process of monitoring and managing tasks.
EXAMPLE III
Referring to fig. 1, the console performs heartbeat detection on the monitoring program every second, issues a task to the monitoring program, and after the monitoring program analyzes the task, the monitoring program remotely connects to the physical host according to login information and calls an intelligent platform management interface to call data.
Example four
Referring to fig. 2, the monitoring program will assign a sub-thread to each task, and analyze and execute the task; in the sub-thread, the monitoring program judges whether the command contains the objectUUID, if the objectUUID does not exist, the monitoring program returns error information to the main control platform, and simultaneously closes the thread in which the monitoring program is located; and if the objectUUID exists, resolving the information of the remote physical host connected in each task. If the connection information is lost, returning error information to the master control platform, and if the connection information is successful, remotely connecting to the physical host; analyzing index tasks in different tasks and concurrently executing the tasks; in the process of executing the task, an error log is written into the process of executing failure; and after the execution is successful, packing and pushing the index data, the log and the alarm to a master control console.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A method for monitoring the ecology of a physical host in a cloud environment is characterized in that: the method for monitoring the ecology of the physical host in the cloud environment comprises the following steps:
the ecology of the physical host is monitored and managed through the monitoring program, the monitoring program is deployed on the monitoring node, and a probe is not required to be implanted into a target physical host;
acquiring equipment information and state of a physical host through a substrate management controller, and meanwhile, having management capability and executing a timing task to periodically monitor the physical host;
analyzing and aggregating the acquired data, setting a threshold, giving an alarm in real time when the threshold is exceeded, and controlling the process of monitoring and managing tasks.
2. The method for monitoring the ecology of physical hosts in a cloud environment according to claim 1, wherein: the monitoring program is deployed on the monitoring nodes, the main control console detects the heartbeat of each monitoring node, normal operation of the monitoring program is guaranteed, monitoring nodes which cannot work are found in time, and the monitoring program is restarted in time.
3. The method and system for monitoring the ecology of physical hosts in a cloud environment according to claim 2, wherein the method comprises the following steps: when the timing tasks are executed, each task may contain different index requirements, and each task of the monitoring program is analyzed and executed in the sub-thread; and the thread pool is adopted to meet the high-frequency and high-concurrency task requirements.
4. The method for monitoring the ecology of the physical hosts in the cloud environment according to claim 3, wherein the method comprises the following steps: the monitoring programs are light-weight microservices, the monitoring programs are distributed and deployed in different regional nodes, the monitoring programs of all the nodes are uniformly scheduled by the master control console, tasks are issued by the control console, the control console issues customized or same tasks to the monitoring nodes according to different node IDs, the monitoring nodes are responsible for executing the tasks and returning results or alarms, when the monitoring programs of a single node have problems, the master control console can sense and capture the problems in time, the normal work of other nodes cannot be influenced, and the monitoring services of the monitoring nodes can be restarted in time.
5. The method for monitoring the ecology of the physical hosts in the cloud environment according to claim 4, wherein the method comprises the following steps: the monitoring program obtains various indexes and states of the physical host through a baseboard management controller of the physical host, and specifically, the monitoring program obtains index data and logs of the physical host through an intelligent platform management interface connected with the baseboard management controller.
6. A monitoring system for physical host ecology in a cloud environment according to any one of claims 1 to 5, wherein: the system consists of a heartbeat module, an execution module and a data analysis processing module;
the heartbeat module is used for monitoring and managing the ecology of the physical host through a monitoring program, and the monitoring program is deployed on the monitoring node without implanting a probe into a target physical host;
the execution module is used for acquiring the equipment information and the state of the physical host through the baseboard management controller, has management capability and executes a timing task to periodically monitor the physical host;
and the data analysis processing module is used for analyzing and aggregating the acquired data, setting a threshold, giving an alarm in real time when the threshold is exceeded, and controlling the process of monitoring and managing tasks.
7. The system for monitoring the ecology of a physical host in a cloud environment according to claim 6, wherein: in the heartbeat module, a monitoring program is deployed on the monitoring nodes, and the master control console detects the heartbeat of each monitoring node, so that the normal operation of the monitoring program is ensured, the monitoring nodes which cannot work are found in time, and the monitoring program is restarted in time.
8. The system for monitoring the ecology of a physical host in a cloud environment according to claim 7, wherein: in the execution module, each task may contain different index requirements, and each task of the monitoring program is analyzed and executed in the sub-thread; and the thread pool is adopted to meet the high-frequency and high-concurrency task requirement.
9. The system for monitoring the ecology of a physical host in a cloud environment according to claim 8, wherein: in the heartbeat module, monitoring programs are lightweight microservices, the monitoring programs are distributed and deployed in different area nodes, the monitoring programs of all the nodes are uniformly scheduled by a master control platform, tasks are issued by the control platform, the control platform issues customized or same tasks to the monitoring nodes according to different node IDs, the monitoring nodes are responsible for executing the tasks and returning results or alarms, when the monitoring programs of a single node have problems, the master control platform can sense and capture the problems in time, the normal work of other nodes cannot be influenced, and the monitoring services of the monitoring nodes can be restarted in time.
10. The system for monitoring the ecology of a physical host in a cloud environment according to claim 9, wherein: in the heartbeat module, a monitoring program obtains various indexes and states of the physical host through a baseboard management controller of the physical host, and specifically, the monitoring program obtains index data and logs of the physical host through an intelligent platform management interface connected with the baseboard management controller.
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| US20150032886A1 (en) * | 2011-11-23 | 2015-01-29 | Shen Wang | Remote Real-Time Monitoring System based on cloud computing |
| US20140215489A1 (en) * | 2013-01-25 | 2014-07-31 | American Megatrends, Inc. | Interface specific and parallel ipmi message handling at baseboard management controller |
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