CN112965782A - Intelligent monitoring method and device for Docker container, storage medium and electronic equipment - Google Patents
Intelligent monitoring method and device for Docker container, storage medium and electronic equipment Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 140
- 238000000034 method Methods 0.000 title claims abstract description 46
- 239000000523 sample Substances 0.000 claims abstract description 40
- 238000004590 computer program Methods 0.000 claims description 11
- 238000012806 monitoring device Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 239000000126 substance Substances 0.000 claims 1
- 238000012545 processing Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- 239000004065 semiconductor Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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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
- H04L43/12—Network monitoring probes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45591—Monitoring or debugging support
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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Abstract
The invention provides an intelligent monitoring method and device for a Docker container, a storage medium and electronic equipment. The method comprises the following steps: acquiring information of each monitoring target sent by a monitoring server; respectively deploying a network probe to each monitoring target and starting each network probe; and pulling the monitoring data of each monitoring target by using each network probe. In the monitoring process of the Docker container, the Docker container and the monitoring server are effectively decoupled, and when the monitoring server migrates, parameters of a client of each Docker container do not need to be modified, so that the working efficiency is greatly improved.
Description
Technical Field
The invention relates to the technical field of IT monitoring, in particular to an intelligent monitoring method and device for a Docker container, a storage medium and electronic equipment.
Background
The Docker container is an open source application container engine, so that developers can pack their applications and dependency packages in a uniform mode into a portable container and then distribute the package to any server (including popular Linux machines and windows machines) provided with the Docker engine, and virtualization can be realized. The containers are fully sandboxed, have no interfaces with each other, have little performance overhead, can be easily run in machines and data centers, and do not depend on any language, framework, and systems.
At present, a client needs to be installed in a Docker container to monitor the Docker container, and as shown in fig. 1, the client periodically collects monitoring data of the Docker container and sends the monitoring data to a monitoring server by configuring an address of the monitoring server. The monitoring server stores the data into a relational database (Oracle or MYSQL), and then draws and displays the data at the front end according to the data.
However, when the number of Docker containers is large and the monitoring server needs to be migrated, the destination IP and port information of each client needs to be modified into the migrated IP and port information, which is heavy in task load and low in efficiency.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present invention is to provide an intelligent monitoring method, an intelligent monitoring device, a storage medium, and an electronic device for a Docker container, which are used to solve the technical problem in the prior art that destination IP and port information of clients of a large number of Docker containers need to be modified due to migration of a monitoring server.
To achieve the above and other related objects, the present invention provides an intelligent monitoring method for a Docker container, comprising: acquiring information of each monitoring target sent by a monitoring server; respectively deploying a network probe to each monitoring target and starting each network probe; and pulling the monitoring data of each monitoring target by using each network probe.
In an embodiment of the present invention, the information of the monitoring target includes an IP address and PORT information of the monitoring target; the network probe is an HTTP probe; the method further comprises the following steps: and pulling the monitoring data of each monitoring target by using an HTTP GET method according to the IP address and PORT PORT information of each monitoring target.
In an embodiment of the present invention, the HTTP probe is deployed as a process or a container in the monitoring target.
In an embodiment of the present invention, the method further includes: writing the monitoring data into a time sequence database which can be transversely expanded; when the image display service inquires the time sequence database, monitoring statistical data and graphs are provided for display.
In an embodiment of the present invention, the method further includes: and if the monitoring data reaches an alarm threshold value, sending alarm information to inform operation and maintenance personnel.
In an embodiment of the present invention, the monitoring target includes: a Docker vessel.
In an embodiment of the present invention, the monitoring target further includes: physical machines, virtual machines.
To achieve the above and other related objects, the present invention provides an intelligent monitoring device for a Docker container, comprising: the information acquisition module is used for acquiring information of each monitoring target sent by the monitoring server; the probe deployment module is used for respectively deploying network probes to the monitoring targets and starting the network probes; and the data monitoring module is used for pulling the monitoring data of each monitoring target by using each network probe.
To achieve the above and other related objects, the present invention provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is loaded and executed by a processor, the intelligent monitoring method for a Docker container is implemented.
To achieve the above and other related objects, the present invention provides an electronic device, comprising: a processor and a memory; wherein the memory is for storing a computer program; the processor is configured to load and execute the computer program, so that the electronic device executes the intelligent monitoring method for the Docker container.
As described above, in the method, the apparatus, the storage medium, and the electronic device for intelligent monitoring of a Docker container according to the present invention, a configuration center is provided, and a monitoring server notifies the configuration center of the Docker container to be monitored when subscribing to the configuration center; the configuration center establishes a monitoring object for the Docker container and deploys an HTTP probe in the Docker container; the configuration center pulls the monitoring data of the Docker container by starting the HTTP probe.
The invention has the following beneficial effects: compared with the prior art, the method and the system have the advantages that the Docker containers and the monitoring server are effectively decoupled, and when the monitoring server migrates, parameters of the client of each Docker container do not need to be modified, so that the working efficiency is greatly improved.
Drawings
Fig. 1 shows a schematic view of the monitoring principle of a prior art Docker vessel.
Fig. 2 is a schematic diagram illustrating the monitoring principle of a Docker container according to an embodiment of the present invention.
FIG. 3 is a schematic view of the monitoring principle of a Docker vessel in another embodiment of the present invention.
Fig. 4 is a flowchart illustrating an intelligent monitoring method for a Docker container according to an embodiment of the present invention.
Fig. 5 is a block diagram of an intelligent monitoring device for a Docker container according to an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 2, in order to implement the decoupling of the Docker container and the monitoring server, the present invention provides a configuration center as shown in the figure, so that when the number of Docker containers is large and the monitoring server needs to be migrated, it is not necessary to modify the destination IP and PORT information of the client of each Docker container into the migrated IP and PORT information. The monitoring server subscribes to the configuration center, and the configuration center discovers a new monitoring target, so that the decoupling of the client and the server is realized. When the monitoring server is migrated, only the address of the monitoring server in the configuration center needs to be modified, so that a large amount of workload is reduced.
As shown in fig. 3, the configuration center can determine the environment of the monitored Docker container, the physical machine, and the virtual machine, start the HTTP probe service, and access the monitoring HTTP protocol to periodically collect monitoring data of the monitored target without any SDK or other integration process. Therefore, the virtual machine virtual environment monitoring system is very suitable for being used as a virtual machine virtual environment monitoring system of the container, and meanwhile, the physical machine environment and the virtual machine environment can be monitored at the same time. In addition, a non-relational database (such as a time sequence database) is used for storage, so that the capacity expansion is facilitated, and the DB bottleneck is broken through.
The intelligent monitoring method for the Docker container of the present invention will be described in detail with reference to fig. 4.
The intelligent monitoring method for the Docker container is executed by the configuration center in FIG. 2, and comprises the following steps:
step S41: acquiring information of each monitoring target sent by a monitoring server;
specifically, the information of the monitoring target mainly includes an IP address and PORT information of the monitoring target, and may further include a service name, and other configuration information, such as time interval information. The monitoring target is a Docker container, and may include a physical machine, a virtual machine, and the like.
Step S42: respectively deploying a network probe to each monitoring target and starting each network probe;
specifically, the network probe is an HTTP probe, and the HTTP probe may be deployed in the monitoring target as a process or a container according to different monitoring targets. The configuration center deploys probe programs to a Docker container, a physical machine, a virtual machine and the like, and starts a process to run HTTP probe services, or starts a monitoring container to run HTTP probe services, so as to capture monitoring data on the probe services of the monitored object in a subsequent period.
The time interval of monitoring data acquisition is loaded through the configuration information of the monitoring object, and if the configuration information has no time interval data, global configuration is used. Meanwhile, two monitoring servers are configured to complete high-availability deployment, and the monitored object does not need to configure information of the monitoring servers.
Step S43: pulling the monitoring data of each monitoring target by using each network probe;
specifically, the monitoring data of each monitoring target is pulled by using an HTTP GET method according to the IP address and PORT information of each monitoring target.
HTTP defines different methods for interacting with the server, and the most basic methods are 4, GET, POST, PUT, and DELETE, respectively. The URL is fully called a resource descriptor. A URL address, which is used to describe the resource on a network, and GET, POST, PUT, DELETE in HTTP corresponds to the search, modification, addition, and deletion of 4 operations for this resource. That is, HTTP GET is generally used to GET/query resource information, is typically used to request a server to send a certain resource, and should be secure and idempotent. By secure, it is meant that the operation is used to obtain information rather than modify it, in other words, the GET request should generally not have side effects, it is simply to obtain resource information, as with database queries, and not to modify or add data, and not to affect the state of the resource. Idempotent means that multiple requests to the same URL should return the same result.
Further, in an embodiment, after step S43, the method further includes the steps of: writing the monitoring data into a time sequence database which can be transversely expanded; when the image display service inquires the time sequence database, monitoring statistical data and graphs are provided for display.
The collected monitoring data is written into an extensible time sequence database so that the configuration center can conveniently and quickly expand the capacity when the performance is not enough. Monitoring data needing centralized display is displayed by configuring time sequence database information in the graph display service, and the efficiency of daily maintenance work is improved.
Further, in an embodiment, after step S43, the method further includes the steps of: and if the monitoring data reaches an alarm threshold value, sending alarm information to inform operation and maintenance personnel.
The monitoring service triggers alarm according to the threshold value and sends the alarm to an alarm center to alarm in the forms of short messages, telephones and the like.
All or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. Based upon such an understanding, the present invention also provides a computer program product comprising one or more computer instructions. The computer instructions may be stored in a computer readable storage medium. The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Referring to fig. 5, the present embodiment provides an intelligent monitoring apparatus 50 for a Docker container, which is installed in an electronic device as a piece of software to execute the intelligent monitoring method for a Docker container described in the foregoing method embodiments during operation. Since the technical principle of the embodiment of the system is similar to that of the embodiment of the method, repeated description of the same technical details is omitted.
The intelligent monitoring device 50 for a Docker container of the present embodiment mainly includes the following modules:
the information acquisition module 51: the system comprises a monitoring server and a monitoring server, wherein the monitoring server is used for acquiring information of each monitoring target sent by the monitoring server;
probe deployment module 52: the system is used for respectively deploying network probes to each monitoring target and starting each network probe;
the data monitoring module 53: the network probe is used for pulling the monitoring data of each monitoring target.
In another embodiment, the intelligent monitoring apparatus 50 for a Docker container further comprises: the data writing module is used for writing the monitoring data into a time sequence database which can be transversely expanded; the data providing module is used for providing monitoring statistical data and graphs for display when the image display service inquires the time sequence database; and the monitoring alarm module is used for sending alarm information to inform operation and maintenance personnel if the monitoring data reaches an alarm threshold value.
Those skilled in the art should understand that the division of the modules in the embodiment of fig. 5 is only a logical division, and the actual implementation can be fully or partially integrated into one or more physical entities. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware. For example, the data monitoring module 53 may be a separate processing element, or may be integrated in a chip, or may be stored in a memory in the form of program code, and the function of the data monitoring module 53 is called and executed by a certain processing element. Other modules are implemented similarly. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
Referring to fig. 6, the present embodiment provides an electronic device 60, where the electronic device 60 may be a desktop computer, a laptop computer, or the like. In detail, the electronic device 60 comprises at least, connected by a bus 61: a memory 62 and a processor 63, wherein the memory 62 is used for storing computer programs, and the processor 63 is used for executing the computer programs stored in the memory 62 to execute all or part of the steps in the foregoing method embodiments.
The above-mentioned system bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In summary, according to the intelligent monitoring method, the intelligent monitoring device, the storage medium and the electronic device for the Docker container, the Docker container and the monitoring server are effectively decoupled in the monitoring process of the Docker container, and when the monitoring server migrates, parameters of the client of each Docker container do not need to be modified, so that the working efficiency is greatly improved. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An intelligent monitoring method for a Docker container is characterized by comprising the following steps:
acquiring information of each monitoring target sent by a monitoring server;
respectively deploying a network probe to each monitoring target and starting each network probe;
and pulling the monitoring data of each monitoring target by using each network probe.
2. The method according to claim 1, wherein the information of the monitoring target comprises an IP address and PORT information of the monitoring target; the network probe is an HTTP probe; the method further comprises the following steps:
and pulling the monitoring data of each monitoring target by using an HTTP GET method according to the IP address and PORT PORT information of each monitoring target.
3. The method of claim 1, wherein the HTTP probe is deployed as a process or a container to the monitoring target.
4. The method of claim 1, further comprising:
writing the monitoring data into a time sequence database which can be transversely expanded;
when the image display service inquires the time sequence database, monitoring statistical data and graphs are provided for display.
5. The method of claim 1, further comprising:
and if the monitoring data reaches an alarm threshold value, sending alarm information to inform operation and maintenance personnel.
6. The method of claim 1, wherein monitoring the target comprises: a Docker vessel.
7. The method of claim 6, wherein monitoring the target further comprises: physical machines, virtual machines.
8. An intelligent monitoring device for a Docker container, comprising:
the information acquisition module is used for acquiring information of each monitoring target sent by the monitoring server;
the probe deployment module is used for respectively deploying network probes to the monitoring targets and starting the network probes;
and the data monitoring module is used for pulling the monitoring data of each monitoring target by using each network probe.
9. A computer-readable storage medium, in which a computer program is stored, which, when loaded and executed by a processor, implements the intelligent monitoring method for a Docker container as claimed in any of claims 1 to 7.
10. An electronic device, comprising: a processor and a memory; wherein the content of the first and second substances,
the memory is used for storing a computer program;
the processor is configured to load and execute the computer program, so as to enable the electronic device to execute the intelligent monitoring method for the Docker container according to any one of claims 1 to 7.
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