Traceability tracking and abnormity positioning system and method in full-link deployment process

Abstract

The invention provides a full-link deployment process traceability tracking and abnormity positioning system and method, and the system comprises a deployment information collector which is used for capturing metadata in the installation process in real time, and the metadata comprises an installation package, a configuration item and an environment parameter; the data warehouse is used for carrying out structured storage on the installation packages, the configuration items and the environmental parameters through a cube model; the deployment element association graph is used for carrying out space-time association on the metadata and the deployment operation process; and the intelligent association analysis engine is used for providing a three-dimensional coordinate system to display a deployment evolution process and a configuration item association relationship, performing structured storage on metadata by adopting a cube model, improving the retrieval efficiency of deployment elements, reducing the fault positioning time and improving the deployment efficiency. The deployment element association map can accurately reflect a propagation path of configuration change in time and space dimensions, all configuration items needing to be synchronously restored are automatically identified during version rollback, and an abstract deployment process is converted into a visual spatio-temporal evolution map.

Description

Technical Field

[0001] The present invention relates to the field of intelligent operation and maintenance technology, and in particular to a system and method for tracing and locating the source of a full-link deployment process and anomaly. Background Art

[0002] Traditionally, a linear log-based recording mechanism is commonly used to track the system deployment process. Operations and maintenance personnel need to manually maintain three types of key information, such as using the file system to store installation logs, marking deployment operations with timestamps, and using independent database tables to record some deployment parameters. In related technologies, a chain log storage architecture is used to store key system deployment information. Although the linear tracing of the operation sequence is achieved through a one-way linked list structure, in actual applications, due to the lack of information storage dimensions, more than 70% of fault tracing requires manual correlation of multi-source data, and the correlation analysis capabilities are insufficient. Traditional relational databases are difficult to support multi-dimensional correlations between deployment elements, resulting in a long average fault location time. The existing timestamp marking mechanism can only record the time dimension information of the operation and lacks spatial topology information. When a version rollback occurs, the configuration items cannot be automatically synchronized and restored. Summary of the Invention

[0003] The present invention provides a full-link deployment process traceability tracking and anomaly location system and method, which are used to solve the defects of traditional system deployment process tracking and location system, such as insufficient correlation analysis capabilities, long average fault location time, and the inability to automatically synchronize and restore configuration items when a version rollback occurs.

[0004] The present invention provides a full-link deployment process traceability tracking and anomaly location system, including: Deployment information collector, used to capture metadata during the installation process in real time, including installation packages, configuration items, and environment parameters; A data warehouse, used for storing the installation packages, configuration items and environment parameters in a structured manner through a cube model; A deployment element association map for temporally and spatially associating the metadata with the deployment operation process; The intelligent correlation analysis engine is used to provide a three-dimensional coordinate system to display the deployment evolution process and the relationship between configuration items.

[0005] According to the full-link deployment process traceability tracking and anomaly positioning system provided by the present invention, the deployment information collector includes a probe, which is used to capture the version hash value, configuration template ID and environment fingerprint during the installation process.

[0006] According to the full-link deployment process traceability and anomaly location system provided by the present invention, the cube model includes three orthogonal dimensions, which include: The time dimension is used to record the deployment operation time window and version effectiveness sequence; The spatial dimension is used to mark the physical node locations and group topology; Configuration dimension, used to build dependencies between configuration items.

[0007] According to the full-link deployment process traceability and anomaly location system provided by the present invention, the dependency relationships between the configuration items are as follows: The influence coefficients between configuration items are calculated by analyzing historical deployment data, and the influence coefficients are used as the dependencies between the configuration items.

[0008] According to the full-link deployment process traceability tracking and anomaly location system provided by the present invention, the deployment element association map includes: Node entities are used to represent installation package instances, configuration item versions, and environment snapshots; Relationship edges are used to mark version dependency strength coefficients, configuration inheritance weights, and spatiotemporal co-occurrence probabilities.

[0009] According to the full-link deployment process traceability tracking and anomaly location system provided by the present invention, the intelligent correlation analysis engine includes: A spatiotemporal visualization module that renders the deployment process timeline, configuration versions, and group topology in a three-dimensional coordinate system. Abnormal path analysis module, used to dynamically mark root cause nodes; The drawing module is used to draw a spatiotemporal evolution map, wherein the spatiotemporal evolution map includes a propagation path between conflicting configuration items.

[0010] The full-link deployment process traceability tracking and anomaly location system provided by the present invention also includes: A spatiotemporal code generator, configured to generate a spatiotemporal code for recording geographic area, logical grouping, and time window characteristics of a deployment operation; The rollback module is used to automatically synchronize associated configuration items and environment parameters according to the spatiotemporal coding during a version rollback operation.

[0011] The present invention provides a method for tracing and locating anomalies during a full-link deployment process, including: Real-time capture of metadata during the installation process, including installation packages, configuration items, and environment parameters; The installation package, configuration items and environment parameters are structuredly stored through a cube model; Performing spatiotemporal correlation between the metadata and the deployment operation process; The deployment evolution process and the relationship between configuration items are displayed through a three-dimensional coordinate system.

[0012] The method for tracing and locating the source of the full-link deployment process provided by the present invention also includes: During a version rollback operation, associated configuration items and environment parameters are automatically synchronized based on time and space coding.

[0013] The present invention provides a full-link deployment process traceability tracking and anomaly positioning system and method. The system includes a deployment information collector for capturing metadata in the installation process in real time, the metadata including installation packages, configuration items and environmental parameters; a data warehouse for structured storage of the installation packages, configuration items and environmental parameters through a cube model; a deployment element association map for performing spatiotemporal association between the metadata and the deployment operation process; an intelligent association analysis engine for providing a three-dimensional coordinate system for displaying the deployment evolution process and the configuration item association relationship. The data warehouse adopts a cube model for structured storage of metadata, which greatly improves the retrieval efficiency of deployment elements, thereby reducing the fault positioning time. The deployment element association map establishes a spatiotemporal dynamic association between deployment elements, which can accurately reflect the propagation path of configuration changes in the time and space dimensions. When the version is rolled back, the system can automatically identify all configuration items that need to be synchronously restored based on the spatiotemporal association. The three-dimensional coordinate system display provided by the intelligent association analysis engine converts the abstract deployment process into a visual spatiotemporal evolution map. Through the synergistic effect of the four links of collection, storage, association and display, the operation and maintenance mode is transformed from passive maintenance to active prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 This is a functional structural diagram of the full-link deployment process traceability tracking and anomaly location system provided by an embodiment of the present invention; Figure 2 This is one of the flow diagrams of the method for tracing the source and locating anomalies during the full-link deployment process provided by an embodiment of the present invention; Figure 3 This is the second flow chart of the full-link deployment process traceability tracking and anomaly location method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0016] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0017] Figure 1 The functional structure diagram of the full-link deployment process traceability tracking and anomaly location system provided by the embodiment of the present invention is as follows: Figure 1 As shown, the full-link deployment process traceability tracking and anomaly location system provided by the embodiment of the present invention includes: Deployment information collector 101, used to capture metadata during the installation process in real time, including installation packages, configuration items, and environment parameters; In an embodiment of the present invention, the deployment information collector includes a probe, and the probe is used to capture the version hash value, configuration template ID, and environment fingerprint during the installation process.

[0018] The data warehouse 102 is used to store the installation packages, configuration items and environment parameters in a structured manner using a cube model; A deployment element association graph 103 for performing spatiotemporal association between the metadata and the deployment operation process; The intelligent association analysis engine 104 is used to provide a three-dimensional coordinate system to display the deployment evolution process and the association relationship between configuration items.

[0019] Traditionally, a chain log storage architecture is used to store key system deployment information. Although linear traceability of operation sequences is achieved through a one-way linked list structure, in actual applications, due to the lack of information storage dimensions, more than 70% of fault tracing requires manual correlation of multi-source data. In addition, the correlation analysis capabilities are insufficient. Traditional relational databases cannot support multi-dimensional correlations between deployment elements, resulting in a long average fault location time. The existing timestamp marking mechanism can only record the time dimension information of the operation and lacks spatial topology information. When a version rollback occurs, the configuration items cannot be automatically synchronized and restored.

[0020] The full-link deployment process traceability tracking and anomaly positioning system provided by an embodiment of the present invention includes a deployment information collector for capturing metadata in the installation process in real time, the metadata including installation packages, configuration items and environmental parameters; a data warehouse for structured storage of the installation packages, configuration items and environmental parameters through a cube model; a deployment element association map for performing spatiotemporal association between the metadata and the deployment operation process; and an intelligent association analysis engine for providing a three-dimensional coordinate system for displaying the deployment evolution process and the association relationship between configuration items. By using a cube model to structure the metadata in the data warehouse, the retrieval efficiency of deployment elements is greatly improved, thereby reducing the fault positioning time. The deployment element association map establishes a spatiotemporal dynamic association between deployment elements, which can accurately reflect the propagation path of configuration changes in the time and space dimensions. When the version is rolled back, the system can automatically identify all configuration items that need to be synchronously restored based on the spatiotemporal association. The three-dimensional coordinate system display provided by the intelligent association analysis engine converts the abstract deployment process into a visual spatiotemporal evolution map. Through the synergistic effect of the four links of collection, storage, association and display, the operation and maintenance mode transformation from passive maintenance to active prevention is realized.

[0021] Based on any of the above embodiments, the cube model includes three orthogonal dimensions, and the three orthogonal dimensions include: The time dimension is used to record the deployment operation time window and version effectiveness sequence; The spatial dimension is used to mark the physical node locations and group topology; Configuration dimension, used to build dependencies between configuration items.

[0022] The embodiment of the present invention constructs a cube model to abstract discrete deployment elements into time, space, and configuration dimensions. Within each dimension, different granularity levels are established (for example, the time dimension includes year and second levels). This supports multi-scale analysis and quantitatively stores values ​​such as version consistency and change frequency within each maintenance for anomaly detection and health assessment.

[0023] Based on any of the above embodiments, the dependency relationship between the construction configuration items includes: The influence coefficients between configuration items are calculated by analyzing historical deployment data, and the influence coefficients are used as the dependencies between the configuration items.

[0024] The embodiment of the present invention dynamically calculates the influence coefficient based on historical real deployment data (such as co-occurrence frequency and synchronization delay). Compared with manually preset static dependency relationships, it can more accurately reflect the actual coupling degree between configuration items.

[0025] Based on any of the above embodiments, the deployment element association map includes: Node entities are used to represent installation package instances, configuration item versions, and environment snapshots; Relationship edges are used to mark version dependency strength coefficients, configuration inheritance weights, and spatiotemporal co-occurrence probabilities.

[0026] Through the structured design of node entities and relationship edges, the embodiments of the present invention achieve precise quantification and dynamic visualization of the complex relationships between deployment elements, transforming the fuzzy empirical dependencies in traditional deployment management into a computable dynamic network. Node entities (installation packages, configuration items, and environment snapshots) fully encapsulate the multidimensional characteristics of deployment elements, while relationship edges, through the three quantitative metrics of version dependency strength coefficient, configuration inheritance weight, and spatiotemporal co-occurrence probability, not only display the relationships between configuration items but also discover implicit dependencies through historical data analysis, such as automatically identifying strong correlations between certain middleware versions and database parameters. This ensures that all strongly correlated configuration items are automatically synchronized during version rollbacks, resolving the rollback inconsistency issue caused by missing dependencies in traditional solutions.

[0027] Based on any of the above embodiments, the intelligent association analysis engine includes: A spatiotemporal visualization module that renders the deployment process timeline, configuration versions, and group topology in a three-dimensional coordinate system. The embodiment of the present invention uses a three-dimensional coordinate system to intuitively present the time evolution of the deployment process, the distribution of configuration versions, and the logical grouping topology, converting abstract operation and maintenance data into an interactive three-dimensional model. This enables perspective monitoring of the entire deployment life cycle. Operation and maintenance personnel can observe the diffusion process of configuration changes in time and space dimensions from multiple angles through operations such as rotation and zooming. For example, they can quickly identify node groups that were not updated synchronously in a certain release. Compared with traditional two-dimensional logs, this visualization method improves the efficiency of understanding the state of complex distributed systems and helps to discover configuration inconsistencies across regions and versions.

[0028] Abnormal path analysis module, used to dynamically mark root cause nodes; In this embodiment of the present invention, based on a real-time calculated dependency network, the core configuration node that caused the system anomaly is automatically located. The anomaly path analysis module significantly shortens system recovery time through dynamic weight analysis and propagation path tracing.

[0029] The drawing module is used to draw a spatiotemporal evolution map, wherein the spatiotemporal evolution map includes a propagation path between conflicting configuration items.

[0030] In an embodiment of the present invention, the spatiotemporal evolution graph records the propagation path and impact scope of conflicting configuration items, and clearly shows how configuration anomalies spread between different nodes over time through visual links. For example, it shows the complete path of incorrect connection pool parameters penetrating from the test environment to the production environment, ensuring that the rollback path covers all affected nodes.

[0031] Based on any of the above embodiments, the full-link deployment process traceability tracking and anomaly location system also includes: A spatiotemporal code generator, configured to generate a spatiotemporal code for recording geographic area, logical grouping, and time window characteristics of a deployment operation; The rollback module is used to automatically synchronize associated configuration items and environment parameters according to the spatiotemporal coding during a version rollback operation.

[0032] The embodiment of the present invention designs spatiotemporal coding rules for the deployment process and adopts a coding structure to record the spatiotemporal characteristics of deployment operations, so that each deployment operation can be accurately located by three-dimensional coordinates. When the version is rolled back, the rollback module can automatically retrieve the complete environment snapshot at the original deployment time based on the spatiotemporal coding, not only restoring the main configuration items, but also synchronously recovering the associated environmental parameters and dependent components.

[0033] For example, after implementing this technology, a cloud service provider automated 90% of deployment conflict alerts, reduced version rollbacks by 80%, and significantly lowered operational costs. Field tests have verified that, in core system upgrade scenarios, deployment fault location time was reduced from an average of 143 minutes to 17 minutes; the configuration synchronization completeness rate for deployment rollbacks increased from 68% to 99.7%; and it supports simultaneous analysis of ultra-large-scale cluster deployments of over 3,000 nodes, with traceability query response times remaining under 800ms.

[0034] The embodiment of the present invention provides a full-link deployment process traceability tracking and anomaly location system. The deployment information collector uses probe technology to capture metadata during the installation process, builds a deployment data warehouse, sets fact tables to record deployment operations, and dimension tables to store entities such as environment, configuration, and resources. A deployment element association map is constructed, and multi-path traceability analysis with adjustable weights is supported. A three-dimensional timeline is provided through a visual tracking interface to display the deployment evolution process, present the configuration item association relationship, and realize three-dimensional structured storage of installation packages, configuration items, and environmental parameters. It supports forward tracing and backward impact analysis of the installation process, and improves the accuracy of root cause location of deployment anomalies.

[0035] The following describes the full-link deployment process traceability tracking and anomaly location method provided by the present invention. The full-link deployment process traceability tracking and anomaly location method described below and the full-link deployment process traceability tracking and anomaly location system described above can be referenced to each other.

[0036] Figure 2 The flowchart of the method for tracing the source and locating anomalies during the full-link deployment process provided by the embodiment of the present invention is as follows: Figure 2 As shown, the full-link deployment process traceability and anomaly location method provided by the embodiment of the present invention includes: Step 201: Capture metadata during the installation process in real time, including installation packages, configuration items, and environment parameters; Step 202: Structurally store the installation package, configuration items, and environment parameters using a cube model; Step 203: Performing spatiotemporal correlation between the metadata and the deployment operation process; Step 204: Display the deployment evolution process and configuration item associations using a three-dimensional coordinate system.

[0037] In an embodiment of the present invention, the method for tracing and locating the source of the full-link deployment process and abnormality further includes: During a version rollback operation, associated configuration items and environment parameters are automatically synchronized based on time and space coding.

[0038] Based on any of the above embodiments, the full-link deployment process traceability tracking and anomaly location method includes multiple stages, such as Figure 3 As shown: The deployment information collection phase includes capturing deployment trigger events, extracting multi-dimensional metadata (version, configuration, environment), and preprocessing data standardization. The structured storage phase includes writing to the deployment table, updating the dimension table, and generating spatiotemporal coding; The association analysis phase includes building a deployment knowledge graph, calculating association strength, and predicting anomaly propagation paths; The visualization stage includes three-dimensional timeline rendering, dynamic correlation map drawing, and root cause location marking.

[0039] The embodiment of the present invention achieves improved deployment and operation efficiency through multi-stage collaborative processing. In the deployment information collection stage, the system captures full-dimensional metadata in real time to build a complete deployment digital twin, ensuring that there are no data blind spots during fault analysis; the innovative spatiotemporal coding and cube model in the structured storage stage converts discrete operation and maintenance data into a three-dimensional knowledge base that can be efficiently queried, which increases the configuration status retrieval speed of a specific time point and a specific area from minutes to seconds; the knowledge graph in the association analysis stage not only reveals the explicit dependencies between configuration items, but also discovers implicit associations that are difficult for humans to detect; dynamic visualization displays convert complex deployment relationships into intuitive spatiotemporal evolution maps, and operation and maintenance personnel can quickly locate the root cause of the anomaly through interactive analysis, shortening the average fault resolution time and improving the configuration synchronization accuracy of version rollbacks.

[0040] The full-link deployment process traceability tracking and anomaly location method provided by the embodiment of the present invention captures metadata in the installation process in real time through a deployment information collector; the data warehouse uses a cube model to perform structured storage of the installation package, configuration items and environmental parameters; the deployment element association map performs spatiotemporal association between the metadata and the deployment operation process; the intelligent association analysis engine provides a three-dimensional coordinate system to display the deployment evolution process and the configuration item association relationship, which greatly improves the retrieval efficiency of deployment elements, thereby reducing the fault location time, establishes a spatiotemporal dynamic association between deployment elements, and can accurately reflect the propagation path of configuration changes in the time and space dimensions. When the version is rolled back, the system can automatically identify all configuration items that need to be synchronously restored based on the spatiotemporal association, and convert the abstract deployment process into a visual spatiotemporal evolution map. Through the synergistic effect of the four links of collection, storage, association and display, the operation and maintenance mode transformation from passive maintenance to active prevention is realized.

[0041] Through the description of the above embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the relevant technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0042] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A full-link deployment process traceability tracking and anomaly location system, characterized by: include: Deployment information collector, used to capture metadata during the installation process in real time, including installation packages, configuration items, and environment parameters; A data warehouse, used for storing the installation packages, configuration items and environment parameters in a structured manner through a cube model; A deployment element association map for temporally and spatially associating the metadata with the deployment operation process; The intelligent correlation analysis engine is used to provide a three-dimensional coordinate system to display the deployment evolution process and the relationship between configuration items.

2. The full-link deployment process traceability tracking and anomaly location system according to claim 1 is characterized in that: The deployment information collector includes a probe, which is used to capture the version hash value, configuration template ID and environment fingerprint during the installation process.

3. The full-link deployment process traceability tracking and anomaly location system according to claim 1 is characterized in that: The cube model includes three orthogonal dimensions, and the three orthogonal dimensions include: The time dimension is used to record the deployment operation time window and version effectiveness sequence; The spatial dimension is used to mark the physical node locations and group topology; Configuration dimension, used to build dependencies between configuration items.

4. The full-link deployment process traceability tracking and anomaly location system according to claim 3 is characterized in that: The dependencies between the build configuration items include: The influence coefficients between configuration items are calculated by analyzing historical deployment data, and the influence coefficients are used as the dependencies between the configuration items.

5. The full-link deployment process traceability tracking and anomaly location system according to claim 1 is characterized in that: The deployment element association graph includes: Node entities are used to represent installation package instances, configuration item versions, and environment snapshots; Relationship edges are used to mark version dependency strength coefficients, configuration inheritance weights, and spatiotemporal co-occurrence probabilities.

6. The full-link deployment process traceability tracking and anomaly location system according to claim 1 is characterized in that: The intelligent association analysis engine includes: A spatiotemporal visualization module that renders the deployment process timeline, configuration versions, and group topology in a three-dimensional coordinate system. Abnormal path analysis module, used to dynamically mark root cause nodes; The drawing module is used to draw a spatiotemporal evolution map, wherein the spatiotemporal evolution map includes a propagation path between conflicting configuration items.

7. The full-link deployment process traceability tracking and anomaly location system according to claim 1 is characterized in that: Also includes: The space-time code generator is used to generate space-time codes, where the space-time codes are used to record the geographical area, logical grouping and time window characteristics of the deployment operation.

8. The full-link deployment process traceability tracking and anomaly location system according to claim 7 is characterized in that: Also includes: The rollback module is used to automatically synchronize associated configuration items and environment parameters according to the spatiotemporal coding during a version rollback operation.

9. A method for tracing and locating the source of anomalies during the entire deployment process, characterized in that: include: Real-time capture of metadata during the installation process, including installation packages, configuration items, and environment parameters; The installation package, configuration items and environment parameters are structuredly stored through a cube model; Performing spatiotemporal correlation between the metadata and the deployment operation process; The deployment evolution process and the relationship between configuration items are displayed through a three-dimensional coordinate system.

10. The method for tracing and locating the source of the entire deployment process according to claim 1 is characterized in that: Also includes: During a version rollback operation, associated configuration items and environment parameters are automatically synchronized based on time and space coding.

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