CN114844794A - Container-oriented resource monitoring method, system and storage medium - Google Patents

Container-oriented resource monitoring method, system and storage medium Download PDF

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Publication number
CN114844794A
CN114844794A CN202210298670.0A CN202210298670A CN114844794A CN 114844794 A CN114844794 A CN 114844794A CN 202210298670 A CN202210298670 A CN 202210298670A CN 114844794 A CN114844794 A CN 114844794A
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data
monitoring
container
monitoring data
proxy gateway
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CN114844794B (en
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刘晓东
李长进
高丰
彭晓晖
王一帆
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Institute of Computing Technology of CAS
Zhejiang Lab
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Zhejiang Lab
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/04Processing captured monitoring data, e.g. for logfile generation
    • H04L43/045Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45591Monitoring or debugging support
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45595Network integration; Enabling network access in virtual machine instances
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Debugging And Monitoring (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a container-oriented resource monitoring method and system. The method comprises the following steps: deploying a data acquisition module into a target container; the data acquisition module acquires the CPU, the memory and the network data of the target container in real time and reports the acquired monitoring data to a push proxy gateway for caching in a push mode; the pull proxy gateway calls a corresponding interface at regular time to actively pull the container and the application monitoring data and caches the monitoring data; the monitoring management center pulls the monitoring data of the push proxy gateway and the pull proxy gateway and stores the monitoring data in a database; and the data display module acquires the monitoring data in the monitoring management center according to conditions to perform visual display. Meanwhile, the base-plane-to-container resource monitoring method provides a container-oriented resource monitoring system.

Description

Container-oriented resource monitoring method, system and storage medium
Technical Field
The invention relates to a cloud computing technology, in particular to a container-oriented resource monitoring method, a container-oriented resource monitoring system and a storage medium.
Background
Cloud computing is a brand new computing mode, large-scale virtualized resource pools are realized on the basis of different software and hardware resources through virtualization technologies, various computing resources are provided through networks, and the networks enable users to cross the limitation of geographic space and acquire various required resources from a cloud computing resource center at any time and any place, namely the cloud computing realizes the fundamental change of the application mode of the computing resources in the implementation form and the computing service.
The container is an application container engine established based on a Linux container (LXC), belongs to operating system layer virtualization, and is mainly used for solving the problems of rapid construction, deployment and sharing of server applications. The LXC is encapsulated by the container by one layer, so that an interface which is easier to use is provided, and the management operation of the container is more convenient. From a macroscopic perspective, the container is more like a lightweight virtualization. Each container has its own network stack, process space, file system, etc., and can be used to install any desired software. And each software in the container operates independently, so that other containers and host machines are not influenced. From the bottom perspective, the container is just one process on the host, and kernel features such as namespace and cgroups are used to provide this isolation. While container clusters provide great convenience, it is important to study how to effectively monitor resources for applications within the clusters. Based on the above situation, the container is effectively utilized to monitor the operation situation of one operation container in real time, and no reasonable method is applied at present.
Disclosure of Invention
The application aims to provide a container-oriented resource monitoring method and system.
In a first aspect, the application provides a container-oriented resource monitoring method, which includes five method implementation components, namely a data acquisition module, a push proxy gateway, a pull proxy gateway, a monitoring management center and a data display module.
The application provides a container-oriented resource monitoring method, which comprises the following specific steps:
deploying a data acquisition module into a target container;
the data acquisition module acquires the CPU, the memory and the network data of the target container in real time and reports the acquired monitoring data to a push proxy gateway for caching in a push mode;
the pull proxy gateway calls monitoring data of corresponding interfaces to pull container service and application programs actively at fixed time, and caches the monitoring data;
the monitoring management center pulls the monitoring data of the push proxy gateway and the pull proxy gateway and stores the monitoring data in a database;
and the data display module acquires the monitoring data in the monitoring management center according to conditions to perform visual display.
Specifically, the data collection module and the monitored application program are deployed together in a target container. The target container is started and used as a container identifier by the transmitted identification parameter, and then the container identifier is transmitted to the data acquisition module and the monitored application program. The data acquisition module and the monitored application program add the container identifier to the monitoring data, and report and push the container identifier to the push proxy gateway.
In a second aspect, the present application provides a container-oriented resource monitoring system according to the above method, the system comprising: the system comprises five system modules, namely a data acquisition module, a pushing proxy gateway, a pulling proxy gateway, a monitoring management center and a data display module.
The data acquisition module is responsible for acquiring monitoring index data in real time and actively reporting the monitoring data to the push proxy gateway;
the push proxy gateway is responsible for receiving the monitoring data pushed by the data acquisition module and providing monitoring data service for the monitoring management center;
the pull proxy gateway is responsible for actively collecting the monitoring data of the data acquisition module or the application and providing monitoring data service for the monitoring management center;
the monitoring management center is responsible for pulling the monitoring data of the push proxy gateway and the pull proxy gateway and storing the monitoring data into a database, and providing a data service interface for a data display module;
the data display module provides a large screen for monitoring data and realizes multidimensional retrieval of the monitoring data.
Specifically, the data acquisition module issues the data to a target monitoring container for operation, and the data acquisition module acquires the CPU, the memory, the network data, and the container identification information of the target monitoring container in real time as monitoring data, and reports the acquired monitoring data to the push proxy gateway in a push manner.
Further, the push proxy gateway includes an interface for receiving the report of the monitoring data and an interface for providing the pull of the monitoring data. The specific operation process is as follows: and receiving and caching the data reported by the data acquisition module through the monitoring data reporting interface, and outputting the monitoring data in another format through the monitoring data pulling interface.
The pull proxy gateway comprises a timing task for pulling monitoring data of a container service and an application program and an interface for providing monitoring data pull. The specific operation process is as follows: and actively pulling monitoring data of the container service and the application program through the timing task, caching the monitoring data, and outputting the monitoring data in another format through the interface for pulling the monitoring data.
Further, the monitoring management center includes a promiex service component, where the promiex service component may configure addresses of the push proxy gateway and an interface of the push proxy gateway, start a timing request to access the interface, pull monitoring data conforming to a data format of the promiex service component, and store the monitoring data in a database respectively.
Furthermore, the data display module provides a display interface of the monitoring data by acquiring the monitoring data of the monitoring management center, supports the multidimensional retrieval of the monitoring data, displays the monitoring data through a line graph, and clearly displays various monitoring data changes at all times.
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For a more clear description of the embodiments of the present application or the technical solutions of the prior art, the drawings needed for describing the embodiments or the prior art will be briefly described as follows:
FIG. 1 is a schematic flow chart illustrating an implementation of the container-oriented resource monitoring method and system of the present application;
FIG. 2 is a schematic diagram illustrating a container identifier parameter delivery flow of the container-oriented resource monitoring method according to the present application;
fig. 3 is a schematic structural diagram of a container-oriented resource monitoring method and system according to the present application.
Detailed Description
The core of the application is to provide a resource monitoring method from a base plane to a container, and the method establishes a container-oriented resource monitoring model, realizes comprehensive collection and storage of system parameters in the container, and provides real-time monitoring data display.
Another core of the present application is to provide a base-plane-to-container resource monitoring system, which implements the steps of the resource monitoring method according to the base-plane-to-container resource monitoring method provided by the present application.
In order to more clearly and completely describe the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
A container is a lighter weight, more flexible way of virtualization, which packages everything needed by an application together. The container contains all code, various dependencies and even the operating system, which allows applications to run almost anywhere. Ensuring proper operation of the application moving from one environment to another. It just virtualizes the operating system, not to the underlying computer as a virtual machine. The container technology has the advantages that all service applications can directly run on an operating system of a physical host, a disk can be directly read and written, the applications are isolated through a namespace of calculation, storage and network resources, and a logically independent container operating system is formed for each application.
The container contains the files and components that make up the application, which can then be multiplied to quickly scale out or moved to other systems as needed, and the container mirror is a copy of the container. Creating a container image creates a template that can then be used to create new applications or to extend existing applications.
While container clusters provide great convenience, it is important to study how to effectively monitor resources for applications within the clusters. Based on the above situation, there is no method for monitoring the operation resources of the operation container.
In order to solve the problem of resource monitoring of the operation container, the resource monitoring method for the container is provided, and the resource monitoring method creates a resource monitoring model for the container, so that system parameters and application programs in the container are comprehensively collected and stored, and real-time monitoring data display is provided.
The container-oriented resource monitoring method comprises five method implementation components, namely a data acquisition module, a pushing proxy gateway, a pulling proxy gateway, a monitoring management center and a data display module. Referring to fig. 1, fig. 1 is a schematic flow chart of an implementation of a container-oriented resource monitoring method according to the present application, where the steps of the container-oriented resource monitoring method may include:
step S1, deploying a data acquisition module into a target container;
this step is intended to cause the data acquisition module to operate in the target container to obtain resource utilization within the independent container.
Step S2, the data acquisition module acquires the CPU, the memory and the network data of the target container in real time and reports the acquired monitoring data to a push proxy gateway for caching in a push mode;
the method comprises the steps of operating in a target container through a data acquisition module, acquiring data of the internal resource utilization condition of the target container in real time, and then pushing the data to a pushing proxy gateway for data aggregation and caching.
Step S3, the pull proxy gateway calls the corresponding interface to actively pull the monitoring data of the container service and the application program at regular time, and caches the monitoring data;
the method comprises the steps of acquiring monitoring data of a container host and a container through a container service interface, and acquiring monitoring data related to application program operation through an application program interface.
Step S4, the monitoring management center pulls the monitoring data of the push proxy gateway and the pull proxy gateway and stores the monitoring data in a database;
the step aims to classify and summarize the passively received monitoring data in the push proxy gateway and the actively pulled monitoring data of the pull proxy gateway, and persistently store the summarized effective monitoring data in a database.
Step S5, the data display module obtains the monitoring data in the monitoring management center according to the condition to display visually;
the method aims to provide query and visual display of the monitoring data related to the target container, and facilitates analysis and utilization of the collected and processed monitoring data of the target container.
Specifically, the data collection module and the monitored application program are deployed together in a target container. The target container is started and used as a container identifier by the transmitted identification parameter, and then the container identifier is transmitted to the data acquisition module and the monitored application program. The data acquisition module and the monitored application program add the container identifier to the monitoring data, and report and push the container identifier to the push proxy gateway.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating a container identifier parameter delivery process of the container-oriented resource monitoring method according to the present application. The process comprises the following steps:
generating a container identification of the target container; this step is intended to distinguish the monitoring data of the container by the container identification mark.
Transmitting a container identification when starting the target container; this step is intended to mark the target container to be started by means of the incoming container identification.
Starting a data acquisition module and an application program in the target container, and transmitting an identification mark of the target container; the step aims to enable the data acquisition module and the application program to carry the container identification mark to report when reporting the monitoring data so as to facilitate data distinguishing.
In order to implement the steps of the above embodiments, the present application provides a container-oriented resource monitoring system.
Referring to fig. 3, fig. 3 is a schematic diagram of an architecture of a container-oriented resource monitoring system according to the present application. The architecture of the container-based cloud application publishing system of the present application includes:
and a data acquisition unit. The unit comprises a data acquisition module, an application program and a container service, and collects and provides related monitoring data of a target container to the resource monitoring system through an open service interface. The data acquisition module is provided by the resource monitoring system, and the application program and the container service are provided by a user or a third-party container cloud platform. The data acquisition module is issued to a target monitoring container for operation, acquires a CPU, a memory, network data and container identification information of the target monitoring container in real time as monitoring data, and reports the acquired monitoring data to a push proxy gateway in a push mode.
A proxy gateway unit. The unit comprises a push proxy gateway and a pull proxy gateway which are provided by the resource monitoring system. The push proxy gateway is responsible for receiving the monitoring data pushed by the data acquisition module: receiving and caching the data reported by the data acquisition module through the monitoring data reporting interface, and outputting the monitoring data in another format through the monitoring data pulling interface; the pull proxy gateway is responsible for actively collecting the monitoring data of the data acquisition module or the application: and actively pulling monitoring data of a container and an application program through a timing task, caching the monitoring data, and outputting the monitoring data in another format through the interface for pulling the monitoring data.
And monitoring the management center unit. The unit comprises a monitoring management center provided by the resource monitoring system. The monitoring management center is responsible for pulling the monitoring data of the push proxy gateway and the pull proxy gateway and storing the monitoring data into a database: the monitoring management center comprises a Promiers service component, the Promiers service component can configure the addresses of the push proxy gateway and the interfaces of the push proxy gateway, start a timing request to access the interfaces, pull monitoring data conforming to the data format of the Promiers service component, and respectively store the monitoring data in a database.
And a data display unit. The unit comprises a data display module provided by the resource monitoring system. The data display module obtains monitoring data of the monitoring management center through condition query, provides a monitoring data display interface, supports multi-dimensional retrieval of the monitoring data, displays the monitoring data through a line graph, and clearly displays various monitoring data changes at all times.
The present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program, when being executed by a processor, is adapted to perform any of the above-mentioned method steps for container-oriented resource monitoring.
The computer readable storage medium may include a U disk, a removable hard disk, a read only memory, a random access memory, a magnetic or optical disk, or the like, which may store program code.
For the introduction of a computer-readable storage medium provided in the present application, please refer to the above method embodiments, which are not described herein again.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may reside in Random Access Memory (RAM) memory, Read Only Memory (ROM), electrically programmable ROM electrically erasable programmable ROM register hard disk removable disk, CD-ROM, or any other form of storage medium known in the art.
The technical solutions provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that a person skilled in the art can make several improvements and modifications to the present application without departing from the principle of the present application, and the improvements and modifications also fall into the protection scope of the present application.

Claims (9)

1. A container-oriented resource monitoring system, comprising: the system comprises a data acquisition module, a push proxy gateway, a pull proxy gateway, a monitoring management center and a data display module; the method is characterized in that:
the data acquisition module is used for acquiring monitoring index data in real time and actively reporting the monitoring data to the push proxy gateway;
the push proxy gateway is used for receiving the monitoring data pushed by the data acquisition module and providing monitoring data service for the monitoring management center;
the pull proxy gateway is used for actively collecting monitoring data of the data acquisition module or the application and providing monitoring data service for the monitoring management center;
the monitoring management center is used for pulling the monitoring data of the push proxy gateway and the pull proxy gateway and storing the monitoring data into a database, and providing a data service interface for a data display module;
the data display module provides a large screen for monitoring data and realizes multidimensional retrieval of the monitoring data.
2. The system as claimed in claim 1, wherein the data collection module issues to a target monitoring container to run, and collects the CPU, the memory, the network data and the container identification information of the target monitoring container as monitoring data in real time, and reports the collected monitoring data to the push proxy gateway in a push manner.
3. The system according to claim 1, wherein the push proxy gateway includes a report interface for receiving monitoring data and an interface for providing pulling of monitoring data, and the specific operation process is as follows: and receiving and caching the data reported by the data acquisition module through the monitoring data reporting interface, and outputting the monitoring data in another format through the monitoring data pulling interface.
4. The system according to claim 1, wherein the pull proxy gateway includes a timing task for pulling monitoring data of the container service and the application program and an interface for providing pulling of the monitoring data, and the system specifically operates as follows: and actively pulling monitoring data of a container and an application program through a timing task, caching the monitoring data, and outputting the monitoring data in another format through the interface for pulling the monitoring data.
5. The system according to claim 1, wherein the monitoring management center comprises a Promiers service component, the Promiers service component configures addresses of the push proxy gateway and the interfaces of the push proxy gateway, starts a timing request to access the interfaces, extracts monitoring data conforming to the data format of the Promiers service component, and stores the monitoring data in the database.
6. The system as claimed in claim 1, wherein the data display module provides a display interface of the monitoring data by acquiring the monitoring data from the monitoring management center, supports multi-dimensional retrieval of the monitoring data, and displays the monitoring data by a line graph to clearly display various changes of the monitoring data at various times.
7. A container-oriented resource monitoring method is characterized by comprising the following steps:
deploying a data acquisition module into a target container;
the data acquisition module acquires the CPU, the memory and the network data of the target container in real time and reports the acquired monitoring data to a push proxy gateway for caching in a push mode;
the pull proxy gateway calls a corresponding interface at regular time to actively pull the container and the application monitoring data and caches the monitoring data;
the monitoring management center pulls the monitoring data of the push proxy gateway and the pull proxy gateway and stores the monitoring data in a database;
and the data display module acquires the monitoring data in the monitoring management center according to conditions to perform visual display.
8. The container-oriented resource monitoring method of claim 7, wherein the data collection module is deployed with the monitored application program into a target container; when the target container is started, the transmitted identification parameters are used as container identifications, and then the container identifications are transmitted to the data acquisition module and the monitored application programs; the data acquisition module and the monitored application program add the container identifier to the monitoring data, and report and push the container identifier to the push proxy gateway.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the steps of the container-oriented resource monitoring method according to any one of claims 7 to 8.
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