Optimized deployment resource and software delivery platform in cloud computing environment

Abstract

The invention discloses an optimized deployment resource and software delivery platform in a cloud computing environment, the software delivery platform comprises a server and a Worker, the server isresponsible for calling a development software API, and issuing a software delivery instruction and a monitoring instruction to the Worker; an API (Application Program Interface) service, Docker mavenplug, Gitlab, Jenkins, Grafana, Prometheus, Harbor, Haproxy, Kubernetes, Keepalived, and a database storage module DataBase are deployed in the server. The resource utilization rate in a cloud computing environment is improved, and configuration is simplified; and the cost expenditure is reduced, the investment of operation and maintenance personnel is reduced, and the continuous service deliveryis more, fast, good, economical and stable. Business lateral extensions are realized.

Description

technical field [0001] The invention relates to a software delivery platform, in particular to an optimized deployment resource and software delivery platform in a cloud computing environment. Background technique [0002] With the increasingly stable and mature cloud computing technology, cloud computing technology has become a new hot spot in the development of the IT industry in recent years, and has attracted extensive attention from all parties; the concept of cloud computing has been proposed for several years, and many technologies are leading Enterprises have adopted virtualization technology to provide users with a large number of virtual computing resources and storage resources; driven by computer virtualization technology, computing resources including virtual machines in cloud computing have increased sharply, usually requiring a large number of computing resources Dynamically deploy software on the Internet to build different computing environments to meet the ...

AI Technical Summary

Problems solved by technology

[0003] Traditional resource division methods mostly use virtual machines and business integration to allocate resources. With the expansion of business, more and more computing resources need to be invested. At the same time, the number of virtual machines is also increasing, which increases personnel maintenance costs and software delivery costs. rapidly increase

Traditionally, it is unrealistic to rely on operation and maintenance engineers to deliver software online, the efficiency is too low, and the error rate is extremely high, which consumes a lot of manpower, and the software delivery version is not easy to control

What goes wrong cannot be tracked and traced

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