Agent deployment upgrading method and system based on Git version control

Abstract

The invention relates to an Agent deployment upgrading method and system based on Git version control. The method comprises the steps of deploying an Agent configuration management server-side component and a Git warehouse to a target server and respectively starting; deploying an Agent Daemon service component for the target server; updating an Agent deployment packet to the Git warehouse and configuring an Agent deployment strategy; and synchronizing the Agent deployment strategy for the Agent Daemon service component, and executing a command operation corresponding to the Agent deployment strategy. According to the Agent deployment upgrading method and system, the deployment configuration difficulty is simplified, and the roll-back of a version is implemented; moreover, the deployment packet is separated from a configuration file, and a Git version mechanism is utilized, so a simple and easy configuration upgrade management mechanism is provided, and the introduction of a complex configuration management system is avoided.

Description

technical field [0001] The present invention relates to an Agent deployment and upgrading method, and more specifically refers to an Agent deployment and upgrading method and system based on git version control. Background technique [0002] The traditional computing system is closed and needs to meet the requirements of consistency. However, the social mechanism is open and cannot meet the requirements of consistency. Some individuals under this mechanism need to reach a consensus through some kind of negotiation mechanism in case of conflicts. The accepted solution is that such individuals in this computing society are called Agents, and the organic combination of these individuals constitutes a computing society—a multi-Agent system, that is, an Agent refers to a system that resides in a certain environment and can continue to function autonomously. Computing entities with characteristics such as residency, reactivity, sociality, and initiative. [0003] With the develop...

AI Technical Summary

Problems solved by technology

[0003] With the development of Internet distributed technology, more and more systems adopt the Agent architecture design, so multiple Agents (such as monitoring Agent, deployment Agent, naming Agent, log collection Agent, etc.) need to be deployed on each server, If the number of machines in the company is relatively small, manual installation with tools such as pssh, ansible, and fabric is not a big problem, but after the number of machines in the company increases, manual installation, upgrade, and rollback of Agent will be very troublesome.

At present, there are two methods for deployment. One is to use ansible to write scripts to achieve batch deployment. By writing Agent installation scripts, specifying the IP address of the target server, and pushing the installation script to the target server for installation; at the same time, the solution also The configuration file can be pushed to the target server separately, but each deployment needs to configure the server address, account number and other information, which is cumbersome to configure, especially the current popular virtual machine and container creation server method is difficult to know the server's IP address and other information in time , the deployment status of the Agent cannot be monitored in real time; and there is a lack of version management, the installation script needs to be modified for each update, and the rollback efficiency is low; the second is to bundle the Agent to the image when the virtual machine is created to implement deployment, but this This method does not consider the upgrade of the Agent version, and the configuration of the Agent is likely to be different when it is deployed to different servers. After the virtual machine is started, it is necessary to manually log in to modify the Agent configuration of each server.

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