The business model of cloud computing is to realize IT as a service. Whether externally or internally, the demand for IT self service is becoming increasingly obvious. On the other hand, large-scale data centers urgently need an effective calendar to reduce operating costs.

In the cloud computing technology architecture, operation and maintenance management provides the full life cycle operation and maintenance management of IaaS layer, PaaS layer, and SaaS layer resources, realizes the unified management of physical resources and virtual resources, and provides end-to-end integrated management capabilities such as resource management, statistics, monitoring and scheduling, and service control. The differences between cloud operation and maintenance management and current traditional IT operation and maintenance management are as follows: Centralization and resource pooling.

Cloud operation and maintenance management needs to be automated and streamlined as far as possible to avoid uncertainties caused by manual operations in management and operation and maintenance. At the same time, cloud operation and maintenance management needs to provide personalized attempts for different users to help management and maintenance personnel view, locate and solve problems.

Cloud operation and maintenance management and operation and maintenance personnel target all cloud resources and need to complete the allocation, scheduling and monitoring of different resources. At the same time, it shall be able to show users the relationship and topology between virtual resources and physical resources. The goal of cloud operation and maintenance management is to adapt to the above changes and improve the operation and maintenance methods and processes to achieve the operation and maintenance management of cloud resources.

Cloud computing operation and maintenance management shall provide the following functions:

Self service portal will support infrastructure resources, platform resources and application resources to interact with users in the form of services, and provide self service functions such as retrieval of infrastructure resources, platform resources and application resources services, and resource usage statistics. It needs to provide different presentation functions according to different users, and effectively isolate the data of multiple users.

Identity and access management provides identity access management. Only authorized users can access the corresponding functions and data and apply for the use of resource services.

Establish a logical view of infrastructure resources, platform resources and application resources, and form a cloud computing and service catalog for service consumers and managers to query. The service catalog shall define the service type, basic information, capacity data, quota and authority, and provide management functions such as registration, configuration, release, cancellation, change and query of service information.

Service rule management defines the scheduling and running sequence logic of resources.

Resource scheduling management determines the current resource status by querying the service directory, and executes automatic workflow to allocate and deploy resources. It can respond to service requests in real time according to the established applicable rules, and realize automatic generation, allocation, collection and migration of resources according to user needs, so as to support users' elastic requirements for resources.

Resource monitoring management monitors and captures the deployment status, usage and operation indicators, and various alarm information of resources in real time.

Service compliance audit regulates and controls the compliance of resource services, and conducts operational audit on the use of resources of services in combination with permissions and quotas.

Service operation monitoring summarizes various monitoring data to the service monitoring and operation engine for processing, and generates change requests by balancing service strategies and work requests. Some standard change requests are not transferred to resource supply management for further processing.

Service measurement management conducts service quality audit according to the actual use of resources, and stipulates service measurement information to facilitate accounting between service users and service providers.

Tenth,.

Service quality management follows SLA requirements. Service quality audit and management are carried out according to the actual use of resources. If the service quality does not meet the pre agreed SLA requirements, dynamic resource allocation is automatically carried out, or resource allocation suggestions are given to the manager to deploy resources to meet SLA requirements.

Service delivery management includes delivery request management, service template management, delivery implementation management, realizing the whole process management of service delivery requests, and the overall delivery process of automated implementation.

Report management provides support for various runtime and periodic statistical reports of cloud computing operation and maintenance management.

The system manages various management of cloud computing operation and maintenance management, including account management, parameter management, permission management, policy management, etc.

The 4A management is supported by the cloud computing O&M management's own 4A management requirements.

Management integration is responsible for the implementation of interfaces with IaaS layer, PaaS layer and SaaS layer to support the delivery and monitoring of services.

The management portal is aimed at management and maintenance personnel, and forms various management functions of services and resources into a unified workbench to realize the configuration, monitoring, statistics and other functional needs of management and maintenance personnel.

The ultimate goal of cloud management is to realize the service-oriented supply of IT capabilities and realize various features of cloud computing: Resource sharing, automation, pay per use, self-service, scalability, etc.