A system for providing a maintenance software and product for information technologies

Abstract

The present invention relates to a system (1) which enables all information technology services and infrastructures to be monitored, possible problems to be predicted via artificial intelligence algorithms, necessary actions to be taken, measures to be taken via automations and relevant units to be informed.

Description

[0001] DESCRIPTION

[0002] A SYSTEM FOR PROVIDING A MAINTENANCE SOFTWARE AND

[0003] PRODUCT FOR INFORMATION TECHNOLOGIES

[0004] Technical Field

[0005] The present invention relates to a system which enables all information technology services and infrastructures to be monitored, possible problems to be predicted via artificial intelligence algorithms, necessary actions to be taken, measures to be taken via automations and relevant units to be informed.

[0006] Background of the Invention

[0007] Today, as the number of services produced by all technology companies that use information technologies, have large volumes of data and provide services with complex services and the number of customers increases, infrastructures are required to be expanded and therefore the management of systems becomes difficult. If there is no automated control system, the human factor increases, and this leads to delays and errors in solutions. Products using similar techniques may experience data loss due to the variety of log formats in the sources they are integrated into.

[0008] For this reason, considering the studies and deficiencies included in the current technique, it is understood that there is a need for a system which enables all information technology services and infrastructures to be monitored, possible problems to be predicted via artificial intelligence algorithms, necessary actions to be taken, measures to be taken via automations, a dynamic structure to be used in order to parse logs, and tools that provide situational flow processing in messaging and real-time data processing steps in order to prevent data loss. The Chinese patent document no. CN116796256A, an application included in the state of the art, discloses a system for performing data analysis and anomaly detection of the infrastructures of the Internet of Things systems. In the said invention, it is determined whether there is an anomaly in the network by comparing the actual observed data with the data predicted by the machine learning model. The machine learning model adopts a self-information entropy / mutual information entropy model, a CNN+Transformer model and an LSTM+Transformer model. The data analysis and anomaly detection system mainly comprises a data clustering module, a data dimension reduction module, a machine learning module and an anomaly detection module that realize the proposed anomaly detection method. The method of the said invention can analyze a large amount of loT data, quickly detect anomalies in different sensor time series data without labelling, and effectively solve the problem of data explosion. Furthermore, when compared to conventional methods, the said invention can also automatically monitor abnormal states of changes in network topology.

[0009] The United States patent document no. US2022255817A1, another application included in the state of the art, discloses a virtual network management-specific machine learning-based anomaly detection system. In the said invention, normal state data generated when a service is normally provided, and abnormal state data generated through a fault injection method through a monitoring agent and a monitoring module in real time are collected; the collected data is stored in a timeseries database; and a data collection unit configured to transmit monitoring data to determine whether there is an abnormal situation, and a data analysis unit configured to extract a feature necessary for detecting an abnormal state by preprocessing the monitoring data received from the data collection unit, and to send data on the extracted data to the abnormal -state detection model. In this way, the abnormal-state detection model analyzes the data input in real time to determine whether there is an abnormal state and notifies a network manager when an abnormal state occurs. Summary of the Invention

[0010] An object of the present invention is to realize a system developed with the aim of enabling all information technology services and infrastructures to be monitored, possible problems to be predicted via artificial intelligence algorithms, necessary actions to be taken, measures to be taken via automations and relevant units to be informed.

[0011] Detailed Description of the Invention

[0012] “A System for Providing a Maintenance Software and Product for Information Technologies” realized to fulfil the objective of the present invention is shown in the figure attached, in which:

[0013] Figure l is a schematic view of the inventive system.

[0014] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0015] 1. System

[0016] 2. Source database

[0017] 3. Application

[0018] 4. Messaging application

[0019] 5. Storage database

[0020] 6. Main server

[0021] 7. Operation server

[0022] An inventive system (1) developed with the aim of enabling all information technology services and infrastructures to be monitored, possible problems to be predicted via artificial intelligence algorithms, necessary actions to be taken, measures to be taken via automations and relevant units to be informed comprises at least one source database (2) which is configured to keep a record of the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project therein; at least one application (3) which is configured to establish a connection with the source database (2) and to collect and transmit the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project on the source database (2); at least one messaging application (4) which is configured to establish a connection with the application (3) and to access the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project transmitted through the application (3); at least one storage database (5) which is configured to keep a record of real-time data transactions, bulk data transactions and the codes that process this data; to keep a record of meaningful data and outputs; and to be used as Distributed File System storage for easy access of the stored data since there is a large volume of data flow; at least one main server (6) which is configured to establish a connection with the messaging application (4) and the storage database (5); to retrieve all data in the form of platforms and infrastructures on which all kinds of information technology services run and the inputs of the project through the messaging application (4); to perform a dynamic structured parsing process on the raw data thereon; to run artificial intelligence algorithms on the pre-processed data; to generate an action output according to the generated method; and to transmit these outputs; at least one operation server (7) which is configured to establish a connection with the main server (6); to enable operational tasks to be carried out based on the action types generated by the main server (6); and to carry out tasks in the form of auto-actions, reporting, alarms and monitoring. The source database (2) included in the inventive system (1) is configured to establish a connection with the application (3). The source database (2) is configured to keep a record of the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project therein.

[0023] The application (3) included in the inventive system (1) is configured to establish a connection with the source database (2). The application (3) is configured to collect the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project on the source database (2) and to transmit them to the messaging application (4).

[0024] The messaging application (4) included in the inventive system (1) is configured to establish a connection with the application (3). The messaging application (4) is configured to access the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project transmitted through the application (3).

[0025] The storage database (5) included in the inventive system (1) is configured to establish a connection with the main server (6). The storage database (5) is configured to keep a record of real-time data transactions, bulk data transactions and the codes that process this data that are transmitted via the main server (6). The storage database (5) is configured to keep a record of the meaningful data and outputs processed by the main server (6) and to be used as Distributed File System (Hadoop Distributed File System - HDFS) storage for easy access of the stored data since there is a large volume of data flow.

[0026] The main server (6) included in the inventive system (1) is configured to establish a connection with the messaging application (4), the storage database (5) and the operation server (7). The main server (6) is configured to retrieve all data in the form of platforms and infrastructures on which all kinds of information technology services run and the inputs of the project through the messaging application (4). The main server (6) is configured to perform a dynamic structured parsing process on the raw data thereon. The main server (6) is configured to pre- process the required data after parsing process before subjecting it to the predictive artificial intelligence method and to obtain the matrix form of the data. The main server (6) is configured to run artificial intelligence algorithms on the pre-processed data, to generate an action output according to the generated method and to transmit these outputs to the operation server (7). The main server (6) is configured to transmit the processed and generated meaningful data to the storage database (5) to be recorded.

[0027] The operation server (7) included in the inventive system (1) is configured to establish a connection with the main server (6). The operation server (7) is configured to enable operational tasks to be carried out based on the action types generated by the main server (6); and to carry out tasks in the form of autoactions, reporting, alarms and monitoring. The operation server (7) is configured to provide accurate feedback to the source database (2), the application (3) and the messaging application (4), and in this way, to intervene in a possible problem on its own.

[0028] Industrial Application of the Invention

[0029] In the inventive system (1), it is enabled to monitor all information technology services and infrastructures, to predict possible problems via artificial intelligence algorithms, to take necessary actions, to take measures via automations and to inform relevant units.

[0030] Within these basic concepts; it is possible to develop various embodiments of the inventive “A System (1) for Providing a Maintenance Software and Product for Information Technologies”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) developed with the aim of enabling all information technology services and infrastructures to be monitored, possible problems to be predicted via artificial intelligence algorithms, necessary actions to be taken, measures to be taken via automations and relevant units to be informed comprising at least one source database (2) which is configured to keep a record of the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project therein; at least one application (3) which is configured to establish a connection with the source database (2) and to collect and transmit the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project on the source database (2); at least one messaging application (4) which is configured to establish a connection with the application (3) and to access the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project transmitted through the application (3); at least one storage database (5) which is configured to keep a record of real-time data transactions, bulk data transactions and the codes that process this data; to keep a record of meaningful data and outputs; and to be used as Distributed File System storage for easy access of the stored data since there is a large volume of data flow; and characterized by at least one main server (6) which is configured to establish a connection with the messaging application (4) and the storage database (5); to retrieve all data in the form of platforms and infrastructures on which all kinds of information technology services run and the inputs of the project through the messaging application (4); to perform a dynamic structured parsing process on the raw data thereon; to run artificial intelligence algorithms on the pre-processed data; to generate an action output according to the generated method; and to transmit these outputs;at least one operation server (7) which is configured to establish a connection with the main server (6); to enable operational tasks to be carried out based on the action types generated by the main server (6); and to carry out tasks in the form of auto-actions, reporting, alarms and monitoring.

2. A system (1) according to Claim 1; characterized by the source database (2) which is configured to establish a connection with the application (3).

3. A system (1) according to Claim 1 or 2; characterized by the source database (2) which is configured to keep a record of the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project therein.

4. A system (1) according to any one of the preceding claims; characterized by the application (3) which is configured to establish a connection with the source database (2).

5. A system (1) according to any one of the preceding claims; characterized by the application (3) which is configured to collect the platforms and infrastructures on which all kinds of information technology services run and the inputs of the project on the source database (2) and to transmit them to the messaging application (4).

6. A system (1) according to any one of the preceding claims; characterized by the messaging application (4) which is configured to establish a connection with the application (3).

7. A system (1) according to any one of the preceding claims; characterized by the messaging application (4) which is configured to access the platforms andinfrastructures on which all kinds of information technology services run and the inputs of the project transmitted through the application (3).

8. A system (1) according to any one of the preceding claims; characterized by the database (5) which is configured to establish a connection with the main server (6).

9. A system (1) according to any one of the preceding claims; characterized by the database (5) which is configured to keep a record of real-time data transactions, bulk data transactions and the codes that process this data that are transmitted via the main server (6).

10. A system (1) according to any one of the preceding claims; characterized by the database (5) which is configured to keep a record of the meaningful data and outputs processed by the main server (6) and to be used as Distributed File System (Hadoop Distributed File System - HDFS) storage for easy access of the stored data since there is a large volume of data flow.

11. A system (1) according to any one of the preceding claims; characterized by the main server (6) which is configured to establish a connection with the messaging application (4), the storage database (5) and the operation server (7).

12. A system (1) according to any one of the preceding claims; characterized by the main server (6) which is configured to retrieve all data in the form of platforms and infrastructures on which all kinds of information technology services run and the inputs of the project through the messaging application (4).

13. A system (1) according to any one of the preceding claims; characterized by the main server (6) which is configured to perform a dynamic structured parsing process on the raw data thereon.

14. A system (1) according to any one of the preceding claims; characterized by the main server (6) which is configured to pre-process the required data after parsing process before subjecting it to the predictive artificial intelligence method and to obtain the matrix form of the data.

15. A system (1) according to any one of the preceding claims; characterized by the main server (6) which is configured to run artificial intelligence algorithms on the pre-processed data, to generate an action output according to the generated method and to transmit these outputs to the operation server (7).

16. A system (1) according to any one of the preceding claims; characterized by the main server (6) which is configured to transmit the processed and generated meaningful data to the storage database (5) to be recorded.

17. A system (1) according to any one of the preceding claims; characterized by the operation server (7) which is configured to establish a connection with the main server (6).

18. A system (1) according to any one of the preceding claims; characterized by the operation server (7) which is configured to enable operational tasks to be carried out based on the action types generated by the main server (6); and to carry out tasks in the form of auto-actions, reporting, alarms and monitoring.

19. A system (1) according to any one of the preceding claims; characterized by the operation server (7) which is configured to provide accurate feedback to the source database (2), the application (3) and the messaging application (4), and in this way, to intervene in a possible problem on its own.

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