Operation and maintenance platform for saas system deployment

Abstract

The invention relates to an operation and maintenance platform for saas system deployment, and aims to provide an efficient and automatic system management solution. The platform comprises a configuration management module which is used for managing configuration information of the saas system, and the configuration information comprises a running environment, service parameters and the like. The configuration management module further comprises a configuration collector, a configuration comparison engine and a configuration issuing device, configuration data can be automatically collected and compared with optimal practice, and therefore system configuration is optimized. In addition, the platform further comprises a log monitoring module, a performance monitoring module and a fault self-healing module, and is used for monitoring the running state of the system in real time, processing abnormal logs and automatically repairing common faults. And the security auditing module is used for auditing system operation and access to ensure system security. The platform supports multi-tenant management, and each tenant can independently manage the saas system of the tenant. By integrating the components, the operation and maintenance platform deployed by the saas system realizes the management of the whole life cycle of the system, including deployment, monitoring, maintenance and optimization. Through the platform, the stability, the safety and the performance of the saas system are improved, and better experience is brought to users.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular covers an operation and maintenance platform for a SaaS (Software as a Service) system. The operation and maintenance platform aims to provide an efficient and automated system management solution for managing and optimizing the configuration, performance, logs, and security of the SaaS system, thereby improving the stability, security, and performance of the system and optimizing the user experience. Background Art

[0002] SaaS (Software as a Service) is a model that uses the Internet as a medium to deliver software applications through the network. The deployment and operation of SaaS systems involve many complex tasks, including configuration management, log monitoring, performance monitoring, fault handling, and security assurance. Traditional manual management methods have problems such as low efficiency, prone to errors, and waste of resources, and are difficult to meet the needs of rapid growth and efficient operation of SaaS systems.

[0003] In order to meet these challenges, some SaaS system management tools and platforms have emerged, but they are often only aimed at one aspect of management and cannot fully cover the full life cycle management needs of SaaS systems. Therefore, a comprehensive SaaS system deployment operation and maintenance platform is needed that can integrate multiple management functions and realize all-round and full-process automated management of SaaS systems. Summary of the invention

[0004] The present invention provides an operation and maintenance platform for SaaS system deployment, aiming to solve the problems existing in traditional management methods and meet the requirements of efficient and stable operation of SaaS systems. The operation and maintenance platform includes the following key components: configuration management module, log monitoring module, performance monitoring module, fault self-healing module, security audit module, and multi-tenant management.

[0005] The configuration management module is responsible for managing the configuration information of the SaaS system, including the operating environment, service parameters and related configurations. The configuration management module automatically collects and summarizes the configuration data of each system node through the configuration collector, and then compares the collected data with the preset best practices through the configuration comparison engine to identify potential configuration problems. Finally, the configuration sender sends the compared configuration changes to the corresponding SaaS system nodes to achieve automated configuration management and reduce the risk of system configuration errors.

[0006] As a further description of the above technical solution:

[0007] The configuration management module uses a distributed configuration management database, which can be implemented using technologies such as Apache ZooKeeper or etcd. The configuration collector collects configuration data from each saas system node through a polling or subscription mechanism and pushes it to the configuration management database. The configuration comparison engine uses algorithms and rules to compare the collected configuration data with preset best practices to identify potential configuration problems. Based on the comparison results, the configuration sender sends the compared configuration changes to the corresponding saas system nodes through a remote interface (such as SSH or API) to achieve automatic configuration updates.

[0008] The configuration management module implements the following steps:

[0009] S01. Deploy and configure a distributed configuration management database: Select a suitable distributed configuration management tool, deploy and configure it, and ensure availability and data consistency.

[0010] S02. Develop configuration collector: Write a configuration collector to collect configuration data from various SaaS system nodes according to system type and configuration format, and push it to the configuration management database.

[0011] S03. Design and implement a configuration comparison engine: Based on best practice rules and algorithms, design a configuration comparison engine to compare configuration data and identify potential configuration issues.

[0012] S04. Develop a configuration sender: Implement a configuration sender and send the compared configuration changes to the corresponding SaaS system nodes based on the comparison results to achieve automated configuration updates.

[0013] The log monitoring module monitors the log output of the SaaS system in real time, and issues real-time warnings and records abnormal logs, which helps to quickly discover and solve potential problems, improve the stability and responsiveness of the system, and strengthen the auditing capabilities of the system.

[0014] As a further description of the above technical solution: the log monitoring module adopts real-time log collection technology, which can be implemented using technologies such as Elasticsearch and Logstash. The monitoring agent is deployed on each SaaS system node and regularly pushes the system's log data to the log storage and analysis platform. The log storage and analysis platform uses efficient storage and indexing technology to store and index a large amount of log data in real time, and realizes real-time search and alarm functions.

[0015] The performance monitoring module is used to monitor the performance indicators of the SaaS system, including processing capacity, response time, resource utilization, etc. Through real-time monitoring and analysis of performance data, system administrators can adjust resource configuration in a timely manner, optimize system performance, and provide a better user experience.

[0016] As a further description of the above technical solution: the performance monitoring module adopts agent-based monitoring technology, which can be implemented using technologies such as Prometheus and Grafana. The monitoring agent is deployed on each SaaS system node, regularly collects system performance data, and sends it to the performance monitoring platform. The performance monitoring platform uses real-time data analysis and graphical display technology to achieve real-time performance data monitoring and analysis functions. The fault self-healing module is based on logs and performance monitoring data. The module can automatically identify common faults in the SaaS system and automatically repair them. This helps to reduce the impact of system failures on users and improve the availability and reliability of the system.

[0017] As a further description of the above technical solution: the fault self-healing module adopts intelligent fault diagnosis and automatic repair technology. It uses machine learning and rule engines to analyze and judge logs and performance monitoring data, identify common failure modes, and automatically trigger corresponding repair actions according to pre-set repair strategies. The security audit module is used to audit and record the operation and access of the SaaS system to ensure the security of the system. By recording key operations and events, it helps to detect potential security risks and take corresponding measures in time to protect the data security of the system and users.

[0018] As a further description of the above technical solution: the security audit module uses log auditing and behavior monitoring technology. It records the operation behavior of all users and administrators, and monitors the access and use of the system in real time. The security audit module uses security event analysis technology to detect potential security threats and abnormal behaviors, and trigger corresponding alarms and audit records.

[0019] The multi-tenant management module supports multi-tenant management, and different tenants can use and manage their SaaS systems independently. This provides customized system management services for different users and improves the flexibility and scalability of the system.

[0020] In summary, the technical solutions of the above key components adopt advanced computer technology and algorithms to realize the comprehensive automated management of SaaS systems. The operation and maintenance platform will greatly simplify system management, improve the stability, security and performance of the system, and provide users with a better SaaS experience. Description of the drawings In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the patent of the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0021] Figure 1 A schematic diagram of an operation and maintenance platform deployed in a SaaS system provided for the implementation of the present invention.

[0022] Implementation

[0023] In order to enable technicians in this field to better understand the technical solution of the present invention, the present invention will be further introduced in detail below in conjunction with the accompanying drawings: Configuration management module: The configuration collector is responsible for periodically polling each SaaS system node, collecting configuration data, and pushing it to the configuration management database.

[0024] The configuration comparison engine obtains configuration information and best practices from the configuration management database, compares and identifies potential configuration issues.

[0025] Based on the comparison results, the configuration sender sends the compared configuration changes to the corresponding SaaS system nodes through a remote interface (such as SSH or API) to achieve automatic configuration updates.

[0026] Log monitoring module: The log collector is deployed on each SaaS system node, regularly collects system log data, and pushes it to the log storage and analysis platform.

[0027] The log storage and analysis platform uses efficient storage and indexing technologies to store large amounts of log data in real time and implement real-time search and alarm functions.

[0028] When abnormal logs are monitored, the log storage and analysis platform will trigger an alarm notification, allowing system administrators to discover and resolve potential problems in a timely manner.

[0029] Performance monitoring module: The performance monitoring agent is deployed on each SaaS system node, regularly collects system performance data, and sends it to the performance monitoring platform.

[0030] The performance monitoring platform uses real-time data analysis and graphical display technology to monitor system performance indicators in real time, such as processing power, response time, and resource utilization.

[0031] System administrators can view the system's operating status in real time through the performance monitoring platform and make timely adjustments based on monitoring data to optimize system performance and resource utilization efficiency.

[0032] Fault self-healing module: The fault self-healing module uses intelligent fault diagnosis and automatic repair technology to identify common system failure modes by analyzing logs and performance monitoring data.

[0033] According to the pre-set repair strategy, the fault self-healing module automatically triggers the corresponding repair actions, such as automatic restart or configuration recovery, to reduce the impact of system failures on users and improve the availability and reliability of the system.

[0034] Security audit module: The security audit module records the operation behaviors of all users and administrators, and monitors the access and use of the system in real time.

[0035] Through security event analysis technology, the security audit module detects potential security threats and abnormal behaviors, and triggers corresponding alarms and audit records.

[0036] The security audit module helps detect potential security risks and take timely measures to protect the data security of the system and users.

[0037] In summary, the above figures describe the key components and functions of the operation and maintenance platform deployed in the SaaS system. These components work together to achieve comprehensive automated management of the entire life cycle of the SaaS system, from configuration management, log monitoring, performance monitoring, fault self-healing to security auditing, etc., improving the stability, security and performance of the system and providing users with a better SaaS experience.

Claims

1. An operation and maintenance platform for SaaS system deployment, characterized in that: Includes the following components: a. Configuration management module, used to manage the configuration information of the SaaS system, including but not limited to the operating environment, service parameters and related configurations.

2. According to the operation and maintenance platform for SaaS system deployment according to claim 1, the configuration management module further includes the following subcomponents: a.Configure the collector to automatically collect and summarize the configuration data of each node in the SaaS system. b. Configuration comparison engine, which is used to compare the collected configuration data with preset best practices and identify potential configuration issues. c. Configuration sender, used to send the compared configuration changes to the corresponding SaaS system nodes.

3. According to the operation and maintenance platform for SaaS system deployment as described in claim 1, the configuration management module can dynamically adjust the configuration parameters according to the system operation status and load conditions to optimize the system performance and resource utilization.

4. According to the operation and maintenance platform for SaaS system deployment according to claim 1, the configuration management module supports interactive operations through a graphical interface and a command line interface.

5. The operation and maintenance platform for SaaS system deployment according to claim 1, wherein the operation and maintenance platform further comprises the following components: a. Log monitoring module, used to monitor the log output of the SaaS system in real time, and to issue real-time alarms and record abnormal logs. b. Performance monitoring module, used to monitor the performance indicators of the SaaS system, including but not limited to processing capacity, response time and resource utilization.

6. The operation and maintenance platform for SaaS system deployment according to claim 1, wherein the operation and maintenance platform further comprises the following components: a. Fault self-healing module, which is used to automatically identify and repair common faults in SaaS systems based on collected logs and performance monitoring data.

7. The operation and maintenance platform for SaaS system deployment according to claim 1, wherein the operation and maintenance platform further comprises the following components: a. Security audit module, used to audit and record the operation and access of the SaaS system to ensure system security.

8. According to claim 1, the operation and maintenance platform for SaaS system deployment supports multi-tenant management, and different tenants can independently use and manage the configuration and operation of their SaaS systems.

9. An operation and maintenance platform for SaaS system deployment, characterized in that: Through the above-mentioned configuration management module, log monitoring module, performance monitoring module, fault self-healing module and security audit module, the full life cycle management of the SaaS system is achieved, including but not limited to deployment, monitoring, maintenance and optimization.

10. An operation and maintenance platform for SaaS system deployment, characterized in that: Through the above-mentioned configuration management module, log monitoring module, performance monitoring module, fault self-healing module and security audit module, the stability, security and performance of the SaaS system are improved, thereby enhancing the user experience.

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