A resilient computing service management system

Abstract

A management system for elastic compute service is disclosed, includes an infrastructure resource adaptation module, which is used for connecting with the northward service orchestration layer resource adaptation module and the southward IaaS layer infrastructure resource adaptation module, the resource scheduling and orchestration module, the northward service orchestration layer resource adaptation module, which is connected with the resource scheduling and orchestration module, the northward service orchestration layer resource adaptation module is used for providing resource scheduling interface adaptation for the resource scheduling and orchestration module, The southward IaaS layer basic resource adaptation module is connected with the IaaS basic resource layer, and the southward IaaS layer basic resource adaptation module is used for providing unified standard interface adaptation for access management of the IaaS basic resource layer from different sources. The elastic computing service management system provided by the invention realizes the simultaneous use of the managed class and the unmanaged class service, the system automatically switches, and the continuity of the service is ensured.

Description

technical field [0001] The invention relates to a management system, in particular to an elastic computing service management system. Background technique [0002] In recent years, with the rapid development of the mobile Internet, Internet-based services that are convenient, good experience, and fast iterative are deeply rooted in the hearts of the people. The traditional IT system has shortcomings in responding to the needs of the mobile Internet. The peaks and valleys of the application system's demand for resources are prominent, and it cannot quickly respond to the rapidly changing market demand. This requires the IT support department to catch up in IT technology. Meet the needs of users and business units. [0003] At present, the mainstream technical solutions in the industry, the technical architecture chooses an Internet-based technical system based on Mesos Martho+Docker open source technology as the core, and builds a data center operating system (DCOS, DataCent...

AI Technical Summary

Problems solved by technology

However, this solution is aimed at the traditional SOA architecture, and the existing unmanaged services (traditional commercial databases, such as Oracle, DB2, physical machines, etc.) cannot be included in the management and control, and realize elastic expansion and contraction, resource application, release, binding, start and stop , Delete and other operations are equivalent to a "vacuum state". With the continuous growth of business data volume, changes in access habits, changes in business requirements, changes in applications, and other factors, these factors directly affect the scope, sustainability, and High availability, life cycle, etc., unmanaged services become business bottlenecks

The Mesos Martho+Docker system has the following disadvantages: 1. It does not have the ability to expand horizontally and vertically for unmanaged services. The scheduling method used is mainly for managed classes (distributed cache, redis, memory database, load balancing rule engine), and unmanaged services cannot be realized. Establish cross-application resource sharing and dynamic scheduling, support rapid expansion and contraction of unmanaged applications and services, and reduce platform availability; 2. There is no agile development mechanism for unmanaged services, and it is impossible to establish an agile development and delivery mechanism, which needs attention The unmanaged deployment environment cannot realize the rapid design and construction of the application environment and support the rapid response of the business; 3. It does not have the ability of intelligent operation and maintenance, and it is only for the managed class (distributed cache, redis, memory database, load balancing rules) Engine), unable to realize intelligent and centralized operation and maintenance management of managed services and unmanaged services, and unable to promote the coordinated evolution of automated operation and maintenance, thereby ensuring the sustainable expansion of elastic computing platforms; 4. Unable to develop unmanaged services , testing, delivery, operation and maintenance and deployment of the whole process to get through, can not realize the one-click and automation of code compilation, unit testing and production deployment, improve the efficiency of software development and deployment; 5, highly dependent on people, can realize the automatic processing of hosting , automatic expansion and contraction, automatic start and stop, etc., but for the lack of automatic control, automatic fault handling, etc. of unmanaged, manual processing is required, which requires maintenance personnel to have high technical capabilities and rich experience in operation and maintenance. Familiar with the comprehensive business environment and rely on business knowledge, give priority to ensuring the normal use of which business

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