Operation and maintenance system and method for multiple cloud servers
Through the multi-cloud server operation and maintenance system, the inefficiency of multi-cloud platform resource management and data processing is solved, flexible resource management and security are achieved, costs are reduced, and system reliability and business continuity are improved.
Patent Information
- Application Number
- CN202510997129.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2025-10-03
AI Technical Summary
In a multi-cloud platform environment, how to efficiently process and utilize large amounts of monitoring data, optimize resource allocation, reduce costs, and ensure business security and stability.
Provides an operation and maintenance system for multi-cloud servers, including a unified management interface, automated deployment and expansion, resource optimization and cost management, security and compliance management, fault detection and automatic recovery, data integration and performance monitoring reports. Through the unified management interface, resources are centrally managed, deployment and expansion are automated, resource configuration is monitored and adjusted in real time, security and compliance management is implemented, faults are detected and recovered, data is integrated and reports are generated.
It enables flexible resource management, reduces costs, improves system reliability and security, ensures business continuity, simplifies IT management, and improves operational efficiency and response speed.
Smart Images
Figure CN120750720A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of network operation and maintenance technology, and specifically relates to an operation and maintenance system and method for multi-cloud servers. Background Art
[0002] With the development of cloud computing, cloud platforms are gradually being used in many fields to carry out many tasks such as data storage, remote control of equipment, and data analysis. However, in actual operation, it is found that with the complexity of the work content and the increase in the amount of data to be processed, it is often necessary to implement cloud computing through a multi-cloud computing environment. When running a multi-cloud platform, it is often necessary to set up an independent operation and maintenance management platform to coordinate the collaborative operation, data scheduling, equipment management, operation services and other tasks between multi-cloud systems. As cloud demand scenarios become more and more extensive, multi-cloud deployment has become the primary solution for enterprise costs and complex scenarios. In a multi-cloud system, resource monitoring data of each public cloud platform is particularly important. Thousands of monitoring data will be generated at a single point in time on a cloud platform. In the context of multi-cloud, the amount of monitoring data is immeasurable. How to efficiently process and use these monitoring data is a problem faced by this field, so improvements are needed to address existing problems. Summary of the Invention
[0003] In response to the above situation, in order to remedy the above-mentioned existing defects, the present invention provides an operation and maintenance system and method for multi-cloud servers that can effectively manage and optimize resources used on multiple cloud platforms, improve flexibility, reduce costs, and ensure business security and stability.
[0004] The present invention proposes an operation and maintenance system for multi-cloud servers, including a unified management interface, automated deployment and expansion, resource optimization and cost management, security and compliance management, fault detection and automatic recovery, data integration, and performance monitoring reports:
[0005] The unified management interface is used to provide a unified management interface, allowing the operation and maintenance team to centrally manage resources on the cloud platform. Administrators can monitor and control all cloud services, including virtual machines, storage, databases, and networks, through a single entry point.
[0006] The automated deployment and expansion are used to enable the system to support automated deployment of applications and services to multiple cloud platforms, and to achieve automatic expansion and contraction of resources.
[0007] The automated deployment and expansion can also enable the system to automatically adjust resource allocation according to load demand through intelligent resource orchestration and scheduling, ensuring high availability and performance optimization of the application.
[0008] The resource optimization and cost management are based on real-time monitoring and analysis, and the system can optimize resource allocation, avoid resource waste and reduce operating costs.
[0009] Administrators can also adjust the use of cloud resources based on data-driven decisions for resource optimization and cost management to meet business needs and improve efficiency.
[0010] Security and compliance management is used to systematically integrate security controls and compliance checking functions to ensure the security of applications and data deployed on different cloud platforms.
[0011] Furthermore, in security and compliance management, administrators can also configure access controls, encrypt data, and monitor security events to protect sensitive information from threats.
[0012] In addition, fault detection and automatic recovery enable the system to monitor the operating status of cloud services in real time and automatically detect and respond to faults. Through automated fault recovery mechanisms and fault-tolerant processing, the system ensures that normal operation can be quickly restored when problems occur, reducing business interruption time.
[0013] Among them, data integration is used to support the integration and migration of data between different cloud platforms to ensure data consistency and security.
[0014] Performance monitoring and reporting are used to provide comprehensive performance monitoring and analysis capabilities to help administrators understand and optimize the system's operating status. The system can generate detailed reports and analysis data to support decision-making and continuous improvement of operation and maintenance strategies.
[0015] Furthermore, the operation and maintenance system of multi-cloud servers also includes continuous improvement and updates. By implementing the continuous integration and continuous deployment (CI / CD) process, it ensures the rapid update and deployment of applications and services; adopts grayscale release and rollback strategies to reduce the risks brought by updates and ensure system stability and reliability.
[0016] An operation and maintenance method for an operation and maintenance system applicable to multi-cloud management includes the following steps:
[0017] Step 1: Build a unified management system, connect to all cloud platforms by defining standard interfaces, deploy virtual machines to build storage and databases, and monitor and control cloud platforms.
[0018] Step 2: Use the infrastructure as code approach to describe the configuration of cloud resources as executable code. By writing code to describe and manage cloud resources, you can achieve automated deployment, expansion, and intelligent resource orchestration and scheduling.
[0019] Step 3: Use automated tools and policies to dynamically adjust resources based on real-time load demands and performance indicators. Adopt containerization and microservices architecture to make applications easier to deploy and manage on different cloud platforms, thereby more flexibly utilizing and optimizing resources.
[0020] Step 4: Manage users, roles, and permissions through the cloud provider's IAM services (such as AWS IAM and Azure Active Directory), and perform end-to-end encryption management of data, including data storage, database access, PR, and HIPAA; establish and implement compliance policies, including data protection, privacy protection, data processing, and storage restrictions; conduct regular compliance audits and monitoring to ensure that operations in multi-cloud environments meet regulatory requirements, and conduct independent audits and certifications of multi-cloud environments to enhance external trust in corporate security practices and compliance.
[0021] Step 5: Use cloud provider services (such as AWS's ELB health check and Azure's Application Insights) and third-party monitoring tools to regularly verify application availability and performance and detect any anomalies. Utilize the automatic scaling capabilities provided by the cloud platform to dynamically increase or decrease resources based on real-time load demand. Use load balancers (such as AWS's ELB and Azure's load balancer) to distribute traffic to multiple instances or services to further increase system reliability. Write automated scripts or use configuration management tools (such as Ansible, Chef, and Puppet) to quickly restore services.
[0022] Step 6: (1) Use log aggregation tools and real-time monitoring services (such as AWS CloudWatch, AzureMonitor) to monitor key metrics and logs, such as data integration, performance monitoring, and reporting; provide performance monitoring and metric collection services through cloud service providers, and perform capacity planning and forecasting based on historical performance data and predictive models.
[0023] (2) Configure monitoring and feedback mechanisms to monitor performance, availability, and security indicators during deployment and expansion in real time; adjust and optimize automated deployment and expansion strategies based on monitoring data to ensure system stability and reliability.
[0024] Step 7: Combine the CI / CD workflow and integrate the automated deployment process into the continuous integration and continuous deployment pipeline to ensure that cloud resources are automatically deployed and configured after each code update, thereby achieving rapid iteration and deployment.
[0025] The beneficial effects achieved by the present invention using the above structure are as follows: The advantages of the operation and maintenance system and method for multi-cloud servers of the present invention are:
[0026] 1. It makes it easier for users to deploy and adjust resources across different cloud platforms based on their needs, thereby improving flexibility and responsiveness. Whether responding to seasonal demand fluctuations or sudden growth, multi-cloud management enables users to quickly scale resources up or down to meet business needs.
[0027] 2. By optimizing resource utilization, selecting cost-effective services, and implementing automated cost management strategies, users can flexibly choose resource configurations from different cloud service providers based on actual usage, avoiding resource waste and unnecessary expenditures.
[0028] 3. A multi-cloud environment can improve the system's fault tolerance and availability by distributing data centers in multiple geographical locations. Even if a cloud service provider fails or shuts down, users can still maintain business operations and ensure business continuity.
[0029] 4. With multi-cloud management, users can more easily adopt the latest technological innovations and best practices. Different cloud platforms may have their own characteristics and advantages. Users can choose the technical solutions that best suit their needs, thereby improving their technological innovation capabilities and competitiveness.
[0030] 5. A multi-cloud management platform can integrate multiple security measures and compliance requirements to uniformly manage and monitor an enterprise's security policies and controls across various cloud platforms. This includes data encryption, access control, vulnerability management, and more, ensuring data security and compliance across multiple cloud environments.
[0031] 6. Through a unified management control platform and automation tools, multi-cloud management can simplify complex IT management tasks, reduce user management costs and human resource requirements, and managers can manage resources from multiple cloud service providers through a single interface, improving operational efficiency and response speed. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0033] Figure 1 The present invention is used for the operation and maintenance system and method of multi-cloud servers. Figure 1 ;
[0034] Figure 2 The present invention is used for the operation and maintenance system and method of multi-cloud servers. Figure 2 . DETAILED DESCRIPTION
[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0036] It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the accompanying drawings, and the words "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.
[0037] like Figure 1 、 Figure 2 As shown in the figure, the technical solution adopted by the present invention is as follows: The operation and maintenance system for multi-cloud servers proposed in this solution includes: a unified management interface, automated deployment and expansion, resource optimization and cost management, security and compliance management, fault detection and automatic recovery, data integration and performance monitoring reports: the unified management interface is used to provide a unified management interface so that the operation and maintenance team can centrally manage resources on the cloud platform. Administrators can monitor and control all cloud services, including virtual machines, storage, databases, and networks, through a single entry point; automated deployment and expansion are used to enable the system to support automated deployment of applications and services to multiple cloud platforms and realize automatic expansion and contraction of resources; automated deployment and expansion can also enable the system to automatically adjust resource allocation according to load demand through intelligent resource orchestration and scheduling, ensuring high availability and performance optimization of applications; resource optimization and cost management are based on real-time monitoring and analysis, and the system can optimize resource configuration, avoid resource waste and reduce operating costs. Administrators can also adjust the use of cloud resources based on data-driven decisions for resource optimization and cost management to meet business needs and improve efficiency;
[0038] Security and compliance management is used to integrate security controls and compliance checking functions into the system to ensure the security of applications and data deployed on different cloud platforms. In security and compliance management, administrators can also configure access controls, encrypt data, and monitor security events to protect sensitive information from threats.
[0039] Fault detection and automatic recovery enable the system to monitor the operating status of cloud services in real time and automatically detect and respond to faults. Through automated fault recovery mechanisms and fault-tolerant processing, the system ensures that normal operations can be quickly restored when problems occur, minimizing business interruption time.
[0040] Data integration is used to support data integration and migration between different cloud platforms to ensure data consistency and security;
[0041] Performance monitoring and reporting provide comprehensive performance monitoring and analysis capabilities to help administrators understand and optimize system operation. The system can generate detailed reports and analysis data to support decision-making and continuous improvement of operation and maintenance strategies.
[0042] The operation and maintenance system of multi-cloud servers also includes continuous improvement and updates. By implementing the continuous integration and continuous deployment (CI / CD) process, it ensures the rapid update and deployment of applications and services; adopts grayscale release and rollback strategies to reduce the risks brought by updates and ensure system stability and reliability.
[0043] When used specifically:
[0044] 1. Build a unified management system, connect to all cloud platforms by defining standard interfaces, deploy virtual machines to build storage and databases, and monitor and control cloud platforms.
[0045] 2. Use the infrastructure as code approach to describe the configuration of cloud resources as executable code. By writing code to describe and manage cloud resources, you can achieve automated deployment, expansion, and intelligent resource orchestration and scheduling.
[0046] 3. Use automated tools and strategies to dynamically adjust resources based on real-time load demands and performance indicators. Adopt containerization and microservices architecture to make applications easier to deploy and manage on different cloud platforms, thereby more flexibly utilizing and optimizing resources.
[0047] 4. Manage users, roles, and permissions through cloud providers' IAM services (such as AWS IAM and Azure Active Directory), and perform end-to-end encryption management of data, including data storage, database access, PR, and HIPAA; establish and implement compliance policies, including data protection, privacy protection, data processing, and storage restrictions; conduct regular compliance audits and monitoring to ensure that operations in multi-cloud environments meet regulatory requirements, and conduct independent audits and certifications of multi-cloud environments to enhance external trust in corporate security practices and compliance.
[0048] 5. Regularly verify the availability and performance of applications and detect any anomalies through cloud provider services (such as AWS's ELB health check and Azure's Application Insights) and third-party monitoring tools. Leverage the automatic scaling capabilities provided by the cloud platform to dynamically increase or decrease resources based on real-time load demand. Use load balancers (such as AWS's ELB and Azure's load balancer) to distribute traffic to multiple instances or services to further increase system reliability. Write automated scripts or use configuration management tools (such as Ansible, Chef, and Puppet) to quickly restore services.
[0049] 6. (1) Use log aggregation tools and real-time monitoring services (such as AWS CloudWatch and Azure Monitor) to monitor key metrics and logs, such as data integration, performance monitoring, and reporting; provide performance monitoring and metric collection services through cloud service providers to perform capacity planning and forecasting based on historical performance data and predictive models.
[0050] (2) Configure monitoring and feedback mechanisms to monitor performance, availability, and security indicators during deployment and expansion in real time; adjust and optimize automated deployment and expansion strategies based on monitoring data to ensure system stability and reliability.
[0051] 7. Combine CI / CD workflows and integrate automated deployment processes into continuous integration and continuous deployment pipelines to ensure that cloud resources are automatically deployed and configured after each code update, thereby achieving rapid iteration and deployment.
[0052] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, material, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, material, or apparatus.
[0053] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.
Claims
1. An operations and maintenance system for multi-cloud servers, including a unified management interface, automated deployment and expansion, resource optimization and cost management, and security and compliance management, characterized by: It also includes fault detection and automatic recovery, data integration and performance monitoring reports: the unified management interface is used to provide a unified management interface so that the operation and maintenance team can centrally manage the resources on the cloud platform. Administrators can monitor and control all cloud services, including virtual machines, storage, databases, and networks, through a single entry point; the automated deployment and expansion are used to enable the system to support automated deployment of applications and services to multiple cloud platforms and realize automatic expansion and contraction of resources; the automated deployment and expansion can also enable the system to automatically adjust resource allocation according to load demand through intelligent resource orchestration and scheduling, ensuring high availability and performance optimization of applications; the resource optimization and cost management are based on real-time monitoring and analysis, and the system can optimize resource configuration, avoid resource waste and reduce operating costs. Administrators can also optimize resources and cost management according to Data-driven decision-making adjusts the use of cloud resources to meet business needs and improve efficiency; security and compliance management is used to integrate security control and compliance checking functions into the system to ensure the security of applications and data deployed on different cloud platforms. Administrators can also configure access control, encrypt data, and monitor security events to protect sensitive information from threats; fault detection and automatic recovery enable the system to monitor the operating status of cloud services in real time and automatically detect and respond to faults. Through automated fault recovery mechanisms and fault-tolerant processing, the system ensures that normal operating conditions can be quickly restored when problems occur, reducing business interruption time; performance monitoring and reporting are used to provide comprehensive performance monitoring and analysis functions to help administrators understand and optimize the operating status of the system. The system can generate detailed reports and analytical data to support decision-making and continuous improvement of operation and maintenance strategies.
2. The operation and maintenance system for multi-cloud servers according to claim 1, characterized in that: The data integration is used to support the integration and migration of data between different cloud platforms to ensure data consistency and security.
3. The operation and maintenance system for multi-cloud servers according to claim 2, characterized in that: The operation and maintenance system of multi-cloud servers also includes continuous improvement and updates. By implementing the continuous integration and continuous deployment (CI / CD) process, it ensures the rapid update and deployment of applications and services, adopts grayscale release and rollback strategies to reduce the risks brought by updates and ensure system stability and reliability.
4. The operation and maintenance method for a multi-cloud server according to any one of claims 1 to 3, characterized in that: The specific steps include: Step 1: Build a unified management system, connect to all cloud platforms by defining standard interfaces, deploy virtual machines to build storage and databases, and monitor and control cloud platforms. Step 2: Use the infrastructure as code approach to describe the configuration of cloud resources as executable code. By writing code to describe and manage cloud resources, you can achieve automated deployment, expansion, and intelligent resource orchestration and scheduling. Step 3: Use automated tools and policies to dynamically adjust resources based on real-time load demands and performance indicators. Adopting containerization and microservices architecture can make applications easier to deploy and manage on different cloud platforms, thereby more flexibly utilizing and optimizing resources. Step 4: Manage users, roles, and permissions through the cloud provider's IAM services (such as AWS IAM and Azure Active Directory), and perform end-to-end encryption management of data, including data storage, database access, PR, HIPAA, etc.; establish and implement compliance policies, including data protection, privacy protection, data processing and storage restrictions, etc.; conduct regular compliance audits and monitoring to ensure that operations in multi-cloud environments comply with regulatory requirements, and conduct independent audits and certifications of multi-cloud environments to enhance external trust in corporate security practices and compliance. Step 5: Regularly verify the availability and performance of the application through the cloud provider's services (such as AWS's ELB health check, Azure's Application Insights) or third-party monitoring tools, and detect any anomalies. Take advantage of the automatic scaling function provided by the cloud platform to dynamically increase or decrease resources based on real-time load demand. Use a load balancer (such as AWS's ELB, Azure's load balancer) to distribute traffic to multiple instances or services to further increase system reliability. Write automated scripts or use configuration management tools (such as Ansible, Chef, Puppet) to quickly restore services. Step 6: (1) Use log aggregation tools and real-time monitoring services (such as AWS CloudWatch and Azure Monitor) to monitor key metrics and logs, such as data integration, performance monitoring, and reporting. Use performance monitoring and metric collection services provided by cloud service providers to perform capacity planning and forecasting based on historical performance data and predictive models. (2) Configure monitoring and feedback mechanisms to monitor performance, availability, and security indicators during deployment and expansion in real time; adjust and optimize automated deployment and expansion strategies based on monitoring data to ensure system stability and reliability. Step 7: Combine the CI / CD workflow and integrate the automated deployment process into the continuous integration and continuous deployment pipeline to ensure that cloud resources are automatically deployed and configured after each code update, thereby achieving rapid iteration and deployment.