CN111221699B - Resource association relation discovery method and device and electronic equipment - Google Patents
Resource association relation discovery method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a resource association relation discovery method, a device and electronic equipment, wherein the method comprises the following steps: collecting communication data of all application processes, configuration data of the application processes and data of monitoring ports on a plurality of managed devices, and storing the collected communication data of the application processes, the configuration data of the application processes and the data of the monitoring ports into a database; carrying out aggregation analysis on the data in the database, and determining the communication relationship between application processes and the corresponding relationship between managed equipment and monitoring ports; and creating and recording the association relation between the resources according to the communication relation between the application processes and the corresponding relation between the managed equipment and the monitoring ports. The cloud platform resource association method has the advantages of being simple in deployment, capable of collecting in real time, saving in cost and capable of automatically finding resource association relations between the same layer and different layers of the cloud platform, such as IaaS-PaaS and PaaS-PaaS.
Description
Technical Field
The invention relates to the technical field of Internet, in particular to a resource association relation discovery method, a resource association relation discovery device and electronic equipment.
Background
In IT (Information Technology ) operation and maintenance management, resource association relationship data is a particularly important type of data, and the data plays a very important role in alarm influence analysis, fault source analysis and change influence analysis. In the past, maintenance of resource association relationship data often stays in an IaaS (Infrastructure-as-a-Service) layer, such as a connection relationship of network devices, a connection relationship between a host and a storage, a relationship between a physical machine and a virtual machine, and the like. The relationship between the IaaS layer and the PaaS (Platform-as-a-Service) layer is rarely involved.
This is because the application architecture of the service system is more complex at the upper layer, especially in the micro service architecture (the micro service architecture is a new technology for deploying applications and services in the cloud), the association relationship of resources is almost impossible to be maintained by manual or flow driving, so that it is necessary to discover the association relationship between various resources in real time by means of some automation means.
Disclosure of Invention
The invention provides a resource association relation discovery method, a device and electronic equipment, which have the advantages of simple deployment and real-time acquisition, and can automatically discover resource association relations between the same layer or different layers of a cloud platform.
According to one aspect of the present application, there is provided a resource association relationship discovery method, including:
collecting communication data of all application processes, configuration data of the application processes and data of monitoring ports on a plurality of managed devices, and storing the collected communication data of the application processes, the configuration data of the application processes and the data of the monitoring ports into a database;
carrying out aggregation analysis on the data in the database, and determining the communication relationship between application processes and the corresponding relationship between managed equipment and monitoring ports;
and creating and recording the association relation between the resources according to the communication relation between the application processes and the corresponding relation between the managed equipment and the monitoring ports.
Optionally, the managed device includes a server, and collecting communication data of all application processes, configuration data of the application processes, and data of a listening port on the plurality of managed devices includes:
through an acquisition script deployed on a server, executing a preset command to acquire communication data of all application processes on the server to obtain a first file, wherein the content of the first file comprises: process PID, process name, source IP, source port, destination IP and destination port;
Analyzing the system file to obtain configuration data of the application process through an acquisition script deployed on the server to obtain a second file, wherein the content of the second file comprises a device name, a process PID, a process main working path, a user to which the process belongs and a process working parameter;
and acquiring data of the monitoring port on the server through an acquisition script deployed on the server to obtain a third file, wherein the content of the third file comprises a process PID, an IP address, a device name and a monitoring port number.
Optionally, storing the collected communication data of the application process, the configuration data of the application process, and the data of the listening port in the database includes:
receiving a first file and a second file, merging the content of the first file with the content of the second file, and storing the merged content into a first data table;
and receiving the third file, and storing the content of the third file into a second data table.
Optionally, performing the aggregation analysis on the data in the database includes:
comparing each record in the first data table, if one record [ source IP: source port]Destination IP: destination port]With another record source IP: source port]Destination IP: destination port ]The mutual reaction is that the two records belong to the same process communication link and a corresponding record C is generated i I is a natural number;
reading the record in the second data table and recording C i The source port and the destination port of (c) are compared with the listening port numbers of the corresponding records in the second data table,
the source port is hit in a monitoring port number record C of the corresponding record in the second data table i Filter out, record C remaining i A data set Z is composed.
Optionally, performing the aggregation analysis on the data in the database further includes:
compressing records in a data set Z, converging N records with different source ports and the same fields into one record, and taking the value of N as the number of links of the process communication link, wherein N is a natural number greater than 0;
the compressed data set is taken as data set M,
storing the data set M into a third data table of a database, wherein the warehousing data comprises: device name, source process main working path, source process working parameter, source IP, destination process name, destination process main working path, destination process working parameter, destination IP, destination port and link number.
Optionally, according to the communication relationship between the application processes and the application processes, the correspondence relationship between the managed device and the listening port includes:
calling a resource instance management API of a configuration management database CMDB to create a resource instance according to the communication relationship between application processes and the corresponding relationship between managed equipment and monitoring ports,
the method specifically comprises the following steps: reading IP address and equipment name information of a server from the third data table, calling a resource instance management API of the CMDB to create a server resource instance, reading process configuration information from the third data table, and calling the resource instance management API of the CMDB to create an application instance resource instance; and reading the monitoring port information from the second data table, calling a resource instance management API of the CMDB to create a monitoring port resource instance.
Optionally, according to the communication relationship between the application processes and the application processes, the correspondence between the managed device and the listening port further includes: the method specifically comprises the steps of calling a resource association relation management API of a configuration management database CMDB to create an association relation between resource instances, wherein the method specifically comprises the following steps:
reading the corresponding relation of the server and the application process from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the application instance and the server; or alternatively, the first and second heat exchangers may be,
Reading the communication relation between the application process and the application process from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the application instance and the application instance; or alternatively, the first and second heat exchangers may be,
reading the corresponding information of the monitoring port and the server from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the monitoring port and the server; or alternatively, the first and second heat exchangers may be,
and reading the corresponding information of the monitoring port and the application instance from the third data table and the second data table, and calling a resource association relation management API of the CMDB to create the association relation between the monitoring port and the application instance.
According to another aspect of the present application, there is provided a resource association relationship discovery apparatus including:
the system comprises an acquisition unit, a database and a control unit, wherein the acquisition unit is used for acquiring communication data of all application processes, configuration data of the application processes and data of monitoring ports on a plurality of managed devices and storing the acquired communication data of the application processes, the configuration data of the application processes and the data of the monitoring ports into the database;
the analysis unit is used for carrying out aggregation analysis on the data in the database and determining the communication relationship between application processes and the corresponding relationship between the managed equipment and the monitoring ports;
The discovery unit is used for creating and recording the association relation between the resources according to the communication relation between the application processes and the corresponding relation between the managed equipment and the monitoring ports.
Optionally, the managed device includes a server, and an acquisition unit, specifically configured to acquire, through an acquisition script deployed on the server, a first file after executing a preset command to acquire communication data of all application processes on the server, where contents of the first file include: process PID, process name, source IP, source port, destination IP and destination port; analyzing the system file to obtain configuration data of the application process through an acquisition script deployed on the server to obtain a second file, wherein the content of the second file comprises a device name, a process PID, a process main working path, a user to which the process belongs and a process working parameter; and acquiring data of the monitoring port on the server through an acquisition script deployed on the server to obtain a third file, wherein the content of the third file comprises a process PID, an IP address, a device name and a monitoring port number.
According to still another aspect of the present application, there is provided an electronic device including: the device comprises a memory and a processor, wherein the memory and the processor are in communication connection through an internal bus, the memory stores program instructions capable of being executed by the processor, and the program instructions can realize the method according to one aspect of the application when being executed by the processor.
By applying the technical scheme of the embodiment of the invention, the communication data of all application processes on a plurality of managed devices, the configuration data of the application processes and the data of the monitoring ports are collected and stored in a database, the data are subjected to convergence analysis, the communication relationship between the application processes and the corresponding relationship between the managed devices and the monitoring ports are determined, the corresponding relationship between the managed devices and the monitoring ports is established and recorded according to the communication relationship between the application processes and the corresponding relationship between the managed devices and the monitoring ports, so that the association relationship of resources between the cloud platform and the cloud platform or different layers such as IaaS-PaaS and PaaS-PaaS is automatically found, the existing system and service application are not invaded, the deployment is simple, the real-time collection is realized, and the coupling property with the application architecture and the deployment architecture of the system is low. By adopting the scheme, operation and maintenance personnel can conveniently and clearly know the influence range of the alarm node, and a high-efficiency and rapid means is provided for fault location and hazard influence range judgment from the overall view of the system of the transverse dimension and the longitudinal dimension of the application architecture and the deployment architecture.
Drawings
FIG. 1 is a flow chart of a resource association relationship discovery method of one embodiment of the present invention;
FIG. 2 is a flow chart of a method for discovering resource associations according to an embodiment of the invention;
FIG. 3 is a block diagram of a resource association relationship discovery apparatus of one embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The automatic discovery means for the resource association relationship between the same layer or different layers of the cloud platform, such as the IaaS-PaaS layer and the PaaS-PaaS layer, comprises two types of methods: 1. by means of APM (Application Performance Management ) technology, probes are driven into an application through Java byte code technology, and logs returned by the probes are analyzed, so that the method has the advantages that the association relationship between PaaS and SaaS (Software-as-a-Service) can be established, and the defect that the invasiveness to Service applications is strong, and the situation that the APM probes influence the normal starting or access of the Service applications often occurs; 2. by means of the synchronous data of the third party platforms, the service systems with the leading part of the architecture have similar call chain platforms or log embedded point analysis platforms, and resource relation data can be obtained by being in butt joint with the third party platforms.
The design concept of the invention is as follows: the method and the device for automatically discovering the resource association relationship between the same layer or different layers of the cloud platform are provided, and the scheme automatically discovers the communication relationship between applications by analyzing Socket links among operating system layer processes. This is because: regardless of the architecture employed by the application system, if the running of a certain application instance depends on other application instances, inter-process communication of the two application instances must be generated at the OS (operating system) level, and such communication process can be completely and automatically captured through system commands. In addition, other resources are associated in the process communication process, for example, the inter-process communication only establishes the connection between the specific server and the monitoring port, so that in the embodiment of the invention, the association relationship among the related resources in the process communication process is found based on the captured process communication.
Fig. 1 is a flowchart of a resource association relationship discovery method according to an embodiment of the present invention, referring to fig. 1, the resource association relationship discovery method of the present embodiment includes the following steps:
step S101, collecting communication data of all application processes, configuration data of the application processes and data of monitoring ports on a plurality of managed devices, and storing the collected communication data of the application processes, the configuration data of the application processes and the data of the monitoring ports into a database;
Step S102, carrying out convergence analysis on the data in the database, and determining the communication relationship between application processes and the corresponding relationship between managed equipment and monitoring ports;
step S103, establishing and recording the association relation between the resources according to the communication relation between the application processes and the corresponding relation between the managed equipment and the monitoring ports.
As can be seen from fig. 1, by collecting inter-process communication information, process configuration information and monitoring port information on a managed device (such as a server), and then performing data aggregation analysis after the data are put in storage, automatically generating inter-process communication relations during aggregation, and finally creating and recording resource association relations according to the communication relations between similar resources and/or the corresponding relations between different similar resources. The method adopts script collection, automatically discovers and stores the association relation between resources, is suitable for any existing network management system, does not need repeated investment to build any new platform, and has no transformation requirement and no invasive effect on a service system. After the scheme is adopted, operation and maintenance personnel can clearly know the influence range of any alarm node, and the system overview is viewed from the transverse dimension and the longitudinal dimension of the application framework and the deployment framework, so that a high-efficiency and rapid means is provided for fault location and hazard influence range judgment.
In this embodiment, the managed device may be a router, a switch, a workstation, or the like, in addition to the foregoing server.
Here, the association relationship between resources is a specific expression of a dependency relationship in a resource running or service process, for example, an application process a of a client wants to access a website to obtain information, often communicates with an application process B of a server, the application process B of the server may also need to communicate with a process H of a database server, in this embodiment, discovery of the association relationship between resources is to discover the association relationship between a server, an application process and a listening port, for example, which processes belong to the same communication link, which processes run on a managed server S1, which processes run on a managed server S2, which applications processes access through a first listening port P1 of the managed server S1, which applications processes access through a first listening port P2 of the managed server S1, and so on.
It should be noted that, in this embodiment, the association relationship between the resources is created and recorded by calling the API (Application Programming Interface ) of the CMDB. For ease of understanding, the CMDB (Configuration Management Database ) will be described herein. The CMDB stores and manages various configuration information of devices in the enterprise IT architecture, is closely connected with all service support and service delivery flows, is a foundation for constructing other ITIL flows, and is characterized in that a configuration model is defined by configuration items (CI, configuration Item), attributes and association relations. CI is a service object, which refers to an asset, human, service component or other logical resource under the control of configuration management, including software, hardware, various documents, operating systems, various configuration parameters of business systems, etc., such as: middleware, hosts, machine rooms, switches, etc. An attribute is a specific description of a configuration item, one configuration item being commonly described by a plurality of attributes; the association is used to describe how the configuration items are commonly serviced, and there are various relationships between the configuration items in the CMDB, such as the connection of a fibre switch to several disk arrays, the use of another program's module by the program, etc.
The implementation steps of the method in the embodiment of the present invention are described below with reference to a specific application scenario.
The method of the present embodiment mainly includes two major parts, namely, collection and CMDB storage (the process of calling the CMDB interface to perform association modeling is equivalent to storage). The acquisition is the basis for the subsequent modeling and is therefore described first herein.
In this embodiment, an acquisition script is deployed on a plurality of servers, and required information is acquired through the acquisition script.
Referring to fig. 2, step 1, a server process communication list is collected;
through an acquisition script deployed on a server, executing a preset command to acquire communication data of all application processes on the server to obtain a first file, wherein the content of the first file comprises: process PID, process name, source IP, source port, destination IP, destination port. In practical application, the process PID (Process ID), the process name, the source IP (Internet Protocol, network protocol), the source port and other process communication information can be obtained by collecting a server process communication list.
For example, a collection script is deployed on a server, and the collection script collects all Socket communication links on the server mainly through lsof commands. The output timing of the script is output to a file A, and the file content comprises: process PID (PID), process name (name), source IP (sip), source port (sport), destination IP (dip), destination port (dport) information.
And (3) injection: processes in the network communicate through sockets. The lsof (list open files) command means to list the current system open files, and in Linux environment, everything exists in the form of files, through which not only regular data but also network connection and hardware can be accessed. So, like Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) sockets, the system assigns a file descriptor to the application in the background that provides a generic interface for interaction between the application and the underlying operating system, regardless of the nature of the file. Because the descriptor list of an application open file provides a large amount of information about the application itself, being able to view this list through the lsof command is helpful to both system monitoring and debugging.
Step 2, collecting server process configuration information;
and acquiring server process configuration information, such as an acquisition script deployed on a server, analyzing the system file to acquire application process configuration data to obtain a second file, wherein the content of the second file comprises a device name, a process PID, a process main working path, a user to which the process belongs and a process working parameter.
Similarly to the foregoing steps, an acquisition script is deployed on the server, where the script obtains application process configuration information mainly by analyzing/proc a process system level file under the directory, and the script outputs the acquired information to the file B at regular time, where the file content includes: device name (hostname), process PID (PID), process primary work path (cwd), user to which the process belongs, process work parameter (cmdline). It will be appreciated that the user here is a non-end consumer of the application on the server.
In addition, the file system under the proc directory is a virtual file system, and is implemented through an interface of the file system and is used for outputting the running state of the system. The system provides an interface for communication between the operating system and the application process in the form of a file system, so that the application program can safely and conveniently obtain the current running condition of the system and the internal data information of the kernel, and can modify the configuration information of certain systems.
Step 3, the acquisition server monitors port information;
and acquiring data of the monitoring port on the server through an acquisition script deployed on the server to obtain a third file, wherein the content of the third file comprises a process PID, an IP address, a device name and a monitoring port number.
Similarly, the data of the monitoring port on the server, such as configuration information, is collected through the collection script in the step 1, the script is output to the file C at regular time, and the file content includes output contents including: process PID (PID), IP address (IP), device name (hostname), listening port number (listen port).
Step 4, data warehouse entry: a process communication list;
in this embodiment, the collected process communication list is stored in a database, for example, the first file and the second file are received, and the content of the first file and the content of the second file are stored in the first data table after being combined.
In particular, the files a and B transmitted on the managed device may be received at regular (or irregular) time and collected by the binning program, and then entered into a first data table, such as data table X. In this embodiment, when the storage is performed, the contents of the file a and the file B are combined, and the combined storage data includes: source process PID (spid), source process name (sframe), source IP (sip), source port (sport), destination process PID (dpid), destination process name (dname), destination IP (dip), destination port (dport).
Step 5, data warehouse entry: monitoring port information;
Here, the third file is received, and the content in the third file is saved in the second data table. For example, the receiving file C is collected by a warehouse-in program and enters a data table Y, and the warehouse-in data includes: process PID (PID), IP address (IP), device name (hostname), listening port number (listen port).
Step 6, cross matching of the process communication list;
in this step, cross matching is to compare each record in the first data table if one record has a source IP: source port]Destination IP: destination port]With another record source IP: source port]Destination IP: destination port]The mutual reaction is that the two records belong to the same process communication link and a corresponding record C is generated i The method comprises the steps of carrying out a first treatment on the surface of the Reading the record in the second data table and recording C i The source port and the destination port of the data table are respectively compared with the corresponding recorded monitoring port numbers in the second data table, and the source port hits the corresponding recorded monitoring port number record C in the second data table i Filter out, record C remaining i A data set Z is composed.
In practical application, each data record in the data table X is cross-matched by using the parsing program, and when [ source IP: source port ]Destination IP: destination port]And another record of source IP: source port]Destination IP: destination port]In the case of reciprocity, the two records are considered to belong to the same process communication link, which is recorded as C i， i is a natural number. Reciprocal, i.e. another record of source IP: source port]With a record of [ destination IP: destination port]Identical and another record [ destination IP: destination port]With a record [ source IP: source port]The same applies.
In order to confirm the source and destination of the recorded processIn this embodiment, the correctness of the source terminal and the destination terminal determined above is verified. Specifically, the record in the data table Y is read, and judgment C is made i Which of the source port (sport) and the destination port (dport) hits the listening port number (listen port) in the data table Y, the direction of the process communication link is judged in this way, the filtering is not qualified, the listening port number (listen port) is guaranteed to be on the destination port side, and the data set is recorded as Z at this time.
Step 7, filtering and converging the communication source port information;
in the step, the records in the data set Z are compressed, N records with different source ports and the same fields are converged into one record, and the N value is recorded as the number of links of the process communication link; the compressed data set is used as a data set M.
Since a large number of process communication links are often established between the same process and the opposite process during process communication, sometimes up to several hundred. In order to compress the number of data records, in this step, compression processing is performed on the data records in the data set Z, N data records with different source ports and the same remaining fields are converged into one record, and at the same time, the N value is recorded as the number of links of the process communication link, where the data set is recorded as M. For example, if there are 100 (n=100) records with different source port fields and the remaining fields are the same, the value of the source port field is replaced with 100 links.
Step 8, data storage and process communication relation information;
here, the data set M obtained in step 7 is stored in a third data table of the database, and the warehouse-in data includes: device name, source process main working path, source process working parameter, source IP, destination process name, destination process main working path, destination process working parameter, destination IP, destination port and link number.
That is, the data set M is put into a warehouse, and the put data includes: the data table is recorded as P by a source process name (sname), a source process main working path (scwd), a source process working parameter (scmdline), a source IP (sip), a destination process name (dname), a destination process main working path (scwd), a destination process working parameter (scmdline), a destination IP (dip), a destination port (dport) and a link number (counts).
After data is put into a database, the embodiment determines a communication relationship between application processes and a corresponding relationship between managed devices and monitoring ports, and then creates and records an association relationship between resources according to the communication relationship between application processes and the corresponding relationship between the managed devices and the monitoring ports, wherein the creation and recording of the association relationship between resources comprises: and calling a resource instance management API of the configuration management database CMDB to create a resource instance according to the communication relationship between application processes and the corresponding relationship between the managed equipment and the monitoring ports.
Since resource instances are the basis of the association relationship between resources, in other words, the association relationship between resources is the relationship of the mutual association between objects of resource instances. Therefore, in this embodiment, the resource instance API is called to create a resource instance, and then the association relationship management API is called to create an association relationship between resource instances.
The resource instance creation API that invokes the CMDB creates a resource instance specifically includes the following steps 9-11.
Step 9, calling an API: creating a server resource;
a server resource is created, i.e., a server resource instance is created. Here, the IP address and the device name information of the server are read from the third data table, and the resource instance management API of the CMDB is called to create a server resource instance. That is, the server information is read from the aforementioned data table P, and then the resource instance management API of the CMDB is called to create a server resource instance.
Step 10, calling an API: creating application instance resources;
an application instance resource is created, i.e., an application instance resource instance is created. For example, process configuration information is read from the third data table, and the resource instance management API of the CMDB is called to create an application instance resource instance. For example, process configuration information such as a source process working parameter, a destination process name, a destination process main working path, a destination process working parameter and the like is read from the data table P, and then a resource instance management API of the CMDB is called to create an application instance resource instance.
Step 11, calling an API: creating a monitoring port resource;
the monitoring port resource is created, that is, the monitoring port resource instance is created, for example, the monitoring port information is read from the second data table, and the resource instance management API of the CMDB is called to create the monitoring port resource instance. That is, the snoop port configuration information is read from the data table Y, and then the resource instance management API of the CMDB is called to create a snoop port resource instance.
And then, establishing and recording an association relation, wherein the corresponding relation between the managed equipment and the monitoring ports comprises the following steps: and calling a resource association relation management API of the configuration management database CMDB to create association relation among resource instances.
In this embodiment, the corresponding relationship between the server and the application process is read from the third data table, and the resource association relationship management API of the CMDB is called to create the association relationship between the application instance and the server resource instance; or, reading the communication relationship between the application process and the application process from the third data table, and calling a resource association relationship management API of the CMDB to create an association relationship between the application instance and the application instance; or, reading the corresponding information of the monitoring port and the server from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the monitoring port and the server; or, reading the corresponding information of the monitoring port and the application instance from the third data table and the second data table, and calling a resource association relation management API of the CMDB to create the association relation between the monitoring port and the application instance.
It should be noted that, herein, reading the correspondence between the resources from the third data table, for example, the correspondence information between the listening port and the server, refers to that the correspondence between the resources originally hidden in the third data table, or the communication relationship between the processes, is made explicit through script processing, so as to be used for subsequent creation and storage.
The correspondence between the application process and the server is found and read as an example. As described above, in the third data table, the stored data includes: source process PID (spid), source process name (sframe), source IP (sip), source port (sport), destination process PID (dpid), destination process name (dname), destination IP (dip), destination port (dport). When the corresponding relation between the application process and the server needs to be read, the following steps are carried out: and firstly, independently extracting the logical mapping relation between all application process identifications and IP addresses (the IP addresses are used for uniquely identifying the server) from the third data table. And secondly, respectively extracting all resource instances under the process resource class and the server resource class from the CMDB, and determining the digital ID of the resource instance. And thirdly, expressing the logic mapping relation in the first step as the corresponding relation of the digital IDs of the resource examples in the second step. Fourth, call the API of CMDB to put in storage.
The establishment and record of the association relation between the resources are specifically as follows:
step 12, calling an API: creating a relation between an application instance and a server;
and creating a relation between the application instance and the server, and more particularly, creating an association relation between a resource instance of the application instance and a resource instance of the server. In this step, the corresponding relationship between the server and the application process is read from the third data table, and the resource association relationship management API of the CMDB is called to create the association relationship between the application instance and the server. That is, the correspondence between the server and the process is read from the data table P, and the resource association management API of the CMDB is called to create the association between the application instance and the server.
Step 13, calling an API: creating a relation between an application instance and an application instance;
and creating a relation between the application instance and the application instance, namely, creating an association relation between the application instance resource instance and the application instance resource instance. For example, the communication relationship between the application process and the application process is read from the third data table, and the resource association relationship management API of the CMDB is called to create the association relationship between the application instance and the application instance. For example, the communication relationship between the process and the process is read in the data table P, and the resource association relationship management API of the CMDB is called to create the association relationship between the application instance and the application instance.
Step 14, calling an API: creating a relation between a monitoring port and a server;
and creating a relation between the monitoring port and the server, and creating an association relation between the monitoring port resource instance and the server resource instance. In this embodiment, the corresponding information of the monitoring port and the server is read from the third data table, and the resource association relationship management API of the CMDB is called to create the association relationship between the monitoring port and the server. In the above example, the corresponding information of the monitoring port and the server is read from the data table P, and the resource association relation management API of the CMDB is called to create the association relation between the monitoring port and the server.
Step 15, calling an API: and creating a relation between the monitoring port and the application instance.
And creating a relation between the monitoring port and the application instance, namely, creating an association relation between the monitoring port resource instance and the application instance resource instance. For example, the corresponding information of the monitoring port and the application instance is read from the third data table and the second data table, and the resource association relation management API of the CMDB is called to create the association relation between the monitoring port and the application instance. In this step, the corresponding information of the monitoring port and the application instance is read from the data table P and the data table Y, and the resource association relationship management API of the CMDB is called to create the association relationship between the monitoring port and the application instance.
In this embodiment, the association relations among four resource instances among the application process resource instances, the application process resource instances and the server resource instances, the server resource instances and the monitoring port resource instances, and the monitoring port resource instances and the application process resource instances are automatically found and stored in the CMDB, so that the creation and the recording of the resource association relations are realized.
It should be noted that, the steps from step 12 to step 15 are not strictly sequential, for example, step 12 and step 13 may be performed simultaneously, or step 13 may be performed first and then step 12 may be performed.
From the aspect of saving cost, the solution of the present solution solves the problem of automatically discovering the association relationship of resources, and two types of solutions that can achieve similar effects are as described above: firstly, by means of an APM platform, and secondly, by means of a background analysis system (such as a call chain platform) of a service system. Project costs for building a suite of APM platforms are millions. And the cost for the service system to perform the architecture upgrade and reconstruction is higher than that of the APM. The script collection and CMDB storage mode adopted by the scheme is suitable for any existing network management system, does not need to repeatedly invest in and construct any new platform, and has no reconstruction requirement and no invasive effect on a service system.
From the perspective of improving work efficiency, before adopting this scheme, the fortune dimension personnel can only judge the scope that this trouble node probably influences according to experience when service system breaks down, lacks the means of looking at the trouble general form from the global view of system, and fault location efficiency is low, and harm scope judgement is inaccurate. After the scheme is adopted, operation and maintenance personnel can clearly know the influence range of each alarm node, and a high-efficiency and rapid means is provided for fault location and hazard influence range judgment from the overall view of the system in two dimensions of the application framework and the deployment framework.
In summary, the method of the present embodiment has the following advantages, (1) automatically discovering the resource association relationship between IaaS-PaaS and PaaS-PaaS; (2) The coupling with the application architecture and the deployment architecture of the application system is low, and the method has independence with an operating system, a middleware type and a database type; (3) non-intrusive to business applications; (4) simple deployment, real-time acquisition and low cost; (5) In close combination with the CMDB, CI items and associations are automatically created, and a relationship topology graph can be generated based on the discovered associations, thereby providing better visualization effects.
The method for discovering the association relationship of the resource belongs to a technical concept, and the embodiment also provides a device for discovering the association relationship of the resource, referring to fig. 3, the device 300 for discovering the association relationship of the resource includes:
the collection unit 301 is configured to collect communication data of all application processes, configuration data of an application process, and data of a monitoring port on a plurality of managed devices, and store the collected communication data of the application process, the configuration data of the application process, and the data of the monitoring port in the database;
the analysis unit 302 is configured to perform aggregation analysis on the data in the database, determine a communication relationship between application processes and a correspondence between the managed device and the monitoring port by two;
The discovery unit 303 is configured to create and record an association relationship between resources according to a communication relationship between application processes and a correspondence relationship between the managed device and the listening port.
In one embodiment of the present invention, the managed device includes a server, and an acquisition unit 301, specifically configured to acquire, through an acquisition script deployed on the server, a first file after executing a preset command to acquire communication data of all application processes on the server, where contents of the first file include: process PID, process name, source IP, source port, destination IP and destination port; analyzing the system file to obtain configuration data of the application process through an acquisition script deployed on the server to obtain a second file, wherein the content of the second file comprises a device name, a process PID, a process main working path, a user to which the process belongs and a process working parameter; and acquiring data of the monitoring port on the server through an acquisition script deployed on the server to obtain a third file, wherein the content of the third file comprises a process PID, an IP address, a device name and a monitoring port number.
In one embodiment of the present invention, the resource association relationship discovery apparatus 300 further includes: the storage unit is used for receiving the first file and the second file, combining the content of the first file with the content of the second file and then storing the combined content into the first data table; and receiving the third file, and storing the content in the third file into a second data table.
In one embodiment of the present invention, the analysis unit 302 is specifically configured to compare each record in the first data table, if [ source IP: source port]Destination IP: destination port]With another record source IP: source port]Destination IP: destination port]Reciprocal, then confirm that these two records belong to the same recordProcess communication links and generates corresponding records C i I is a natural number; reading the record in the second data table and recording C i The source port and the destination port of the data table are respectively compared with the corresponding recorded monitoring port numbers in the second data table, and the source port hits the corresponding recorded monitoring port number record C in the second data table i Filter out, record C remaining i A data set Z is composed.
In one embodiment of the present invention, the analysis unit 302 is specifically configured to compress records in the data set Z, aggregate N records with different source ports and identical remaining fields into one record, and record a value of N as a number of links of the process communication link, where N is a natural number;
taking the compressed data set as a data set M, storing the data set M into a third data table of a database, and warehousing data comprises the following steps: device name, source process main working path, source process working parameter, source IP, destination process name, destination process main working path, destination process working parameter, destination IP, destination port and link number.
In one embodiment of the present invention, the discovery unit 303 is specifically configured to call a resource instance management API of the CMDB to create a resource instance according to a communication relationship between application processes and a correspondence relationship between a managed device and a listening port, and specifically includes: reading IP address and equipment name information of a server from the third data table, calling a resource instance management API of the CMDB to create a server resource instance, reading process configuration information from the third data table, and calling the resource instance management API of the CMDB to create an application instance resource instance; reading monitoring port information from the second data table, calling a resource instance management API of the CMDB to create a monitoring port resource instance;
in one embodiment of the present invention, the discovery unit 303 is specifically configured to call a resource association relationship management API of the configuration management database CMDB to create an association relationship between resource instances, and specifically includes: reading the corresponding relation of the server and the application process from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the application instance and the server; or, reading the communication relationship between the application process and the application process from the third data table, and calling a resource association relationship management API of the CMDB to create an association relationship between the application instance and the application instance; or, reading the corresponding information of the monitoring port and the server from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the monitoring port and the server; or, reading the corresponding information of the monitoring port and the application instance from the third data table and the second data table, and calling a resource association relation management API of the CMDB to create the association relation between the monitoring port and the application instance.
It should be noted that, the explanation of each function executed by each unit in the apparatus shown in fig. 3 is consistent with the explanation of each unit in the foregoing method embodiment, and will not be repeated here.
In summary, the resource association relationship discovery method and device provided by the embodiment of the invention can automatically discover the association relationship of resources between various layers of the cloud platform, such as IaaS-PaaS and PaaS-PaaS, and have low coupling with the application architecture and deployment architecture of the application system and independence with the operating system, middleware type and database type; no intrusion to business applications; the deployment is simple, the real-time acquisition is realized, and the cost is low; the method is tightly combined with a CMDB, CI items and association relations are automatically created, and a relation topological graph can be generated based on the found association relations, so that a better visual effect is provided, operation and maintenance staff can conveniently know the influence range of each alarm node, and a high-efficiency and rapid means is provided for fault location and hazard influence range judgment from the aspects of a transverse dimension system and a longitudinal dimension system of an application framework and a deployment framework.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 4, the electronic device includes a memory 401 and a processor 402, where the memory 401 and the processor 402 are communicatively connected through an internal bus 403, and the memory 401 stores program instructions that can be executed by the processor 402, and the program instructions when executed by the processor 402 can implement the above-mentioned resource association relationship discovery method.
Further, the logic instructions in the memory 401 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Another embodiment of the present application provides a computer-readable storage medium storing computer instructions that cause a computer to perform the above-described method.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the present invention, numerous specific details are set forth. It may be evident, however, that the embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
The foregoing is merely a specific embodiment of the invention and other modifications and variations can be made by those skilled in the art in light of the above teachings. It is to be understood by persons skilled in the art that the foregoing detailed description is provided for the purpose of illustrating the invention more fully, and that the scope of the invention is defined by the appended claims.
Claims (9)
1. The resource association relation discovery method is characterized by comprising the following steps:
collecting communication data of all application processes, configuration data of the application processes and data of a monitoring port on a plurality of managed devices, and storing the collected communication data of the application processes, the configuration data of the application processes and the data of the monitoring port into a database, wherein the managed device comprises a server, the database comprises a first data table, a second data table and a third data table, the first data table stores the content of a first file and the content of a second file after being combined, the second data table stores the content of a third file, and the third data table stores a data set M;
carrying out aggregation analysis on the data in the database, and determining the communication relationship between application processes and the corresponding relationship between managed equipment and monitoring ports;
according to the communication relation between application processes and the corresponding relation between managed equipment and monitoring ports, creating and recording the association relation between resources by calling a resource instance management API of a configuration management database CMDB;
the collecting communication data of all application processes, configuration data of the application processes and data of a monitoring port on the plurality of managed devices comprises the following steps:
Acquiring communication data of all application processes on a server by executing a preset command through an acquisition script deployed on the server to obtain a first file, acquiring configuration data of the application processes by analyzing a system file through the acquisition script deployed on the server to obtain a second file, and acquiring data of a monitoring port on the server through the acquisition script deployed on the server to obtain a third file;
the data set M is acquired by:
comparing each record in the first data table, if one record [ source IP: source port]Destination IP: destination port]With another record source IP: source port]Destination IP: destination port]The mutual reaction is that the two records belong to the same process communication link and a corresponding record C is generated i I is a natural number; reading the record in the second data table and recording C i The source port and the destination port of the data table are respectively compared with the corresponding recorded monitoring port numbers in the second data table, and the source port hits the corresponding recorded monitoring port number record C in the second data table i Filter out, record C remaining i Composing a data set Z; compressing records in a data set Z, converging N records with different source ports and the same fields into one record, and taking the value of N as the number of links of the process communication link, wherein N is a natural number greater than 0; the compressed data set is used as a data set M.
2. The method of claim 1, wherein the content of the first file comprises: process PID, process name, source IP, source port, destination IP and destination port;
the content of the second file comprises a device name, a process PID, a process main working path, a user to which the process belongs and a process working parameter;
the content of the third file includes a process PID, an IP address, a device name, a listening port number.
3. The method of claim 2, wherein storing the collected communication data of the application process, the configuration data of the application process, and the data of the listening port in the database comprises:
receiving a first file and a second file, merging the content of the first file with the content of the second file, and storing the merged content into a first data table;
and receiving the third file, and storing the content of the third file into a second data table.
4. The method of claim 3, wherein performing a convergence analysis on the data in the database further comprises:
storing the data set M into a third data table of a database, wherein the warehousing data comprises: device name, source process main working path, source process working parameter, source IP, destination process name, destination process main working path, destination process working parameter, destination IP, destination port and link number.
5. The method according to claim 4, wherein creating and recording the association relationship between the resources by calling the resource instance management API of the configuration management database CMDB according to the communication relationship between the application processes and the correspondence between the managed device and the listening port by two comprises:
calling a resource instance management API of a configuration management database CMDB to create a resource instance according to the communication relationship between application processes and the corresponding relationship between managed equipment and monitoring ports,
the method specifically comprises the following steps: reading IP address and equipment name information of a server from the third data table, calling a resource instance management API of the CMDB to create a server resource instance, reading process configuration information from the third data table, and calling the resource instance management API of the CMDB to create an application instance resource instance; and reading the monitoring port information from the second data table, calling a resource instance management API of the CMDB to create a monitoring port resource instance.
6. The method according to claim 5, wherein creating and recording the association between the resources by calling the resource instance management API of the configuration management database CMDB according to the communication relationship between the application processes and the correspondence between the managed device and the listening port by two further comprises: the resource association management API of the configuration management database CMDB is called to create an association between resource instances,
The method specifically comprises the following steps: reading the corresponding relation of the server and the application process from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the application instance and the server resource instance; or alternatively, the first and second heat exchangers may be,
reading the communication relation between the application process and the application process from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the application instance and the application instance; or alternatively, the first and second heat exchangers may be,
reading the corresponding information of the monitoring port and the server from the third data table, and calling a resource association relation management API of the CMDB to create an association relation between the monitoring port and the server; or alternatively, the first and second heat exchangers may be,
and reading the corresponding information of the monitoring port and the application instance from the third data table and the second data table, and calling a resource association relation management API of the CMDB to create the association relation between the monitoring port and the application instance.
7. A resource association relationship discovery apparatus, comprising:
the device comprises a plurality of managed devices, a collection unit, a storage unit and a storage unit, wherein the collection unit is used for collecting communication data of all application processes, configuration data of the application processes and data of monitoring ports on the plurality of managed devices, and storing the collected communication data of the application processes, the configuration data of the application processes and the data of the monitoring ports into a database;
The analysis unit is used for carrying out aggregation analysis on the data in the database and determining the communication relationship between application processes and the corresponding relationship between the managed equipment and the monitoring ports;
the discovery unit is used for creating and recording the association relation between the resources by calling the resource instance management API of the configuration management database CMDB according to the communication relation between the application processes and the corresponding relation between the managed equipment and the monitoring ports;
the managed device comprises a server, an acquisition unit, a first file, a second file, a third file and a third file, wherein the acquisition unit is specifically used for acquiring communication data of all application processes on the server through an acquisition script deployed on the server, acquiring a first file after executing a preset command, acquiring configuration data of the application processes through the acquisition script deployed on the server, acquiring a second file after analyzing the system file, and acquiring data of a monitoring port on the server through the acquisition script deployed on the server;
the analysis unit is specifically configured to compare each record in the first data table, if a record has a source IP: source port]Destination IP: destination port]With another record source IP: source port ]Destination IP: destination port]The mutual reaction is that the two records belong to the same process communication link and a corresponding record C is generated i I is a natural number; reading the record in the second data table and recording C i The source port and the destination port of the data table are respectively compared with the corresponding recorded monitoring port numbers in the second data table, and the source port hits the corresponding recorded monitoring port number record C in the second data table i Filter out, record C remaining i Composing a data set Z; compressing records in a data set Z, converging N records with different source ports and the same fields into one record, and taking the value of the record N as the number of links of the process communication link, wherein N is a natural number; and taking the compressed data set as a data set M, and storing the data set M into a third data table of the database.
8. The apparatus of claim 7, wherein the device comprises a plurality of sensors,
the content of the first file includes: process PID, process name, source IP, source port, destination IP and destination port; the content of the second file comprises a device name, a process PID, a process main working path, a user to which the process belongs and a process working parameter; the content of the third file includes a process PID, an IP address, a device name, a listening port number.
9. An electronic device, the electronic device comprising: the memory and the processor are in communication connection through an internal bus, and the memory stores program instructions capable of being executed by the processor, and the program instructions are capable of implementing the method of any one of claims 1-6 when executed by the processor.
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| CN112035442A (en) * | 2020-09-02 | 2020-12-04 | 南京星邺汇捷网络科技有限公司 | Dynamic CMDB automatic association method based on big data |
| CN112989330B (en) * | 2021-02-08 | 2023-12-12 | 网宿科技股份有限公司 | Container intrusion detection method, device, electronic equipment and storage medium |
| CN113905105B (en) * | 2021-09-30 | 2024-03-15 | 阿里巴巴（中国）有限公司 | Method and device for establishing application dependency relationship |
| CN114826864A (en) * | 2022-03-11 | 2022-07-29 | 阿里巴巴（中国）有限公司 | Architecture determination method and apparatus for application system, electronic device, and computer-readable storage medium |
| CN115208754B (en) * | 2022-06-28 | 2024-02-23 | 深信服科技股份有限公司 | Configuration issuing method, device, computer equipment and storage medium |
| CN117407118A (en) * | 2022-07-08 | 2024-01-16 | 北京火山引擎科技有限公司 | Container operation control method, device, electronic equipment and readable storage medium |
| CN115390912B (en) * | 2022-10-26 | 2023-03-28 | 深圳高灯计算机科技有限公司 | Resource discovery method, device, computer equipment and storage medium |
| CN117931809A (en) * | 2024-02-28 | 2024-04-26 | 上海宽睿信息科技有限责任公司 | Data blood margin generation method and system based on digitalization |
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