CN113438104A - System non-inductive automatic iteration method - Google Patents
System non-inductive automatic iteration method Download PDFInfo
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- CN113438104A CN113438104A CN202110645976.4A CN202110645976A CN113438104A CN 113438104 A CN113438104 A CN 113438104A CN 202110645976 A CN202110645976 A CN 202110645976A CN 113438104 A CN113438104 A CN 113438104A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000001939 inductive effect Effects 0.000 title claims abstract description 10
- 238000012423 maintenance Methods 0.000 claims abstract description 6
- 238000005096 rolling process Methods 0.000 claims abstract description 3
- 238000004806 packaging method and process Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 230000008447 perception Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009967 tasteless effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- Computer Networks & Wireless Communication (AREA)
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to an automatic iteration method of a system. The system non-inductive automatic iteration method comprises a medium loaded with a deployment tool, and comprises the following steps: inputting deployed environment information, service names, branches and Hash, planning deployment time, selecting an uninterruptible deployment strategy, rolling and deploying the services in the cluster, cutting off the flow of the services being deployed, and storing and submitting information; step two, when the deployment information is submitted, the system automatically creates a nail approval flow, related information is transferred to the nail approval flow, after approval, the information is transferred to a deployment tool, the deployment information is checked, a packaging program is packaged, and a timing task is created according to specified time; and step three, triggering a deployment task at the time, starting to upload files, restarting services, checking service states, and informing related personnel of the state information. The invention enables the end user not to be influenced during the use of the system; the multi-cloud environment and various services can be deployed at the same time, the efficiency is high, and the operation and maintenance cost is saved.
Description
Technical Field
The invention relates to iteration of internet resources of terminal equipment, in particular to an automatic iteration method of a system.
Background
At present, the iterative deployment mode of the server system is usually to manually generate an executive program, upload a file, start a service, and check the service. This method has the following problems
1. The internal communication cost is high, the execution efficiency is low, and the waiting period is long;
2. manual misoperation is easily caused by manual operation;
3. the efficiency is low and the auditing quality is unstable due to pure manual auditing;
4. most tasks are executed in series, the work is simple and repeated, and the tasks are dull and tasteless;
5. a batch deployment mode is not supported;
6. most importantly, a downtime iteration is required, during which the user cannot access the use.
Disclosure of Invention
The present invention is to solve the above-mentioned drawbacks of the prior art, and to provide a system-insensitive automatic iteration method. The invention enables the end user not to be influenced during the use of the system; the multi-cloud environment and hundreds of services can be deployed simultaneously, the execution efficiency is high, and the operation and maintenance cost of a company is saved.
The invention is realized in such a way that the system non-inductive automatic iteration method comprises a medium loaded with a deployment tool and comprises the following steps:
step one, parameter input: the method comprises the following steps that a user inputs deployed environment information, service names, branches and Hash, plans the deployment time, selects an un-stop deployment strategy, rolls and deploys the services in a cluster, cuts off the flow of the services being deployed, enables the user flow not to be led into the services being started, and stores and submits the information;
step two, when the deployment information is submitted, the system automatically creates a nail approval flow, related information is transferred to the nail approval flow, after approval, the information is transferred to a deployment tool, the deployment tool automatically checks the deployment information and a packaging program, and a timing task is created according to specified time;
and step three, triggering a deployment task at the time, starting to upload files, restarting services, checking service states, and informing related personnel of the state information.
The system non-inductive automatic iteration method comprises a shutdown deployment strategy option in the step one.
In the system non-inductive automatic iteration method, in the second step, the approval process comprises the approval flow of technical responsibility- > test responsibility- > operation and maintenance department.
In the third step, the state information is notified to relevant personnel through mails, nails and a Web interface.
The system non-inductive automatic iteration method comprises the following steps: the deployment tool verifies information such as cloud environment, service name, branch and Hash; after the verification is passed, pulling the code from the Git code warehouse and packaging; e.g., packaging failure, mail and staple message notification to related colleagues; and if the packaging is successful, creating a timing task according to the planned deployment time.
The third step of the system non-inductive automatic iteration method further comprises: after the time point is reached, pushing the deployment program package to the target machine for the Linux SSH connection support according to the client system environment; for those supporting http or https downloads, the Agent program will download the deployment package from the file server.
The system non-perception automatic iteration method further comprises the steps that for deploying a certain service, load balancing flow is cut off through a deployment tool, then the service is restarted, after the service is normally started, the load balancing flow is added, and cluster application is rolled and deployed to achieve system non-perception publishing.
The automatic deployment scheme of the invention can greatly improve the working efficiency of the transportation and development team and reduce artificial faults. During service deployment, traffic control is carried out on the service, the system is unaware of automatic iterative deployment, and end users do not have any influence during system use. The multi-cloud environment and hundreds of services can be deployed simultaneously, the execution efficiency is high, and the operation and maintenance cost of a company is saved.
Drawings
FIG. 1 is a flow diagram of the present invention.
FIG. 2 is a diagram of the parameter entry interface.
Fig. 3 is a schematic diagram of the approval result information sheet.
Fig. 4 is an information sheet of the deployment completion.
Fig. 5 is a deployment result push information viewing prompt message.
Detailed Description
The invention is further illustrated with reference to the following figures and specific examples.
As shown in FIG. 1, the system of the present invention is a non-inductive automatic iteration method, which includes a medium loaded with a deployment tool and includes the following steps:
step one, parameter input: the method comprises the following steps that a user inputs deployed environment information, service names, branches and Hash, plans the deployment time, selects an un-stop deployment strategy, rolls and deploys the services in a cluster, cuts off the flow of the services being deployed, enables the user flow not to be led into the services being started, and stores and submits the information;
step two, when the deployment information is submitted, the system automatically creates a nail approval flow, related information is transferred to the nail approval flow, after approval, the information is transferred to a deployment tool, the deployment tool automatically checks the deployment information and a packaging program, and a timing task is created according to specified time;
and step three, triggering a deployment task at the time, starting to upload files, restarting services, checking service states, and informing related personnel of the state information.
FIGS. 2-5 are schematic diagrams of embodiments of the present invention
As shown in fig. 2, a technical colleague inputs information of a deployed cloud environment, a service name, a planned deployment time, whether to halt or not and the like through a Web interface, and submits the information;
the system automatically creates a nail approval flow, and after the approval of technical, testing and operation and maintenance colleagues is passed, the system automatically pushes a message (as shown in figure 3) to a service deployment tool; if the approval is rejected, the message informs the relevant colleague.
The deployment tool will verify information such as cloud environment, service name, branch and Hash. And after the verification is passed, pulling the code from the Git code warehouse and packaging. E.g., packaging failure, mail and staple message notification to related colleagues; and if the packaging is successful, creating a timing task according to the planned deployment time.
After the time point is reached, pushing the deployment program package to a target machine according to the client system environment, such as Linux SSH connection support; if the Agent program supports http or https downloading, the Agent program downloads the deployment package from the file server; fig. 4 is a notification of information after deployment is completed.
If a certain service is deployed, the load balancing flow is cut off through a program, then the service is restarted, after the service is normally started, the load balancing flow is added, the cluster application is deployed in a rolling mode, and the system is released in a non-sensing mode.
FIG. 5 shows service deployment status notifying related colleagues through mail, stapling, and Web-side messaging.
The embodiments of the present invention have been described above. However, the present invention is not limited to the above embodiment. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The system non-inductive automatic iteration method is characterized by comprising a medium loaded with a deployment tool and comprising the following steps:
step one, parameter input: the method comprises the following steps that a user inputs deployed environment information, service names, branches and Hash, plans the deployment time, selects an un-stop deployment strategy, rolls and deploys the services in a cluster, cuts off the flow of the services being deployed, enables the user flow not to be led into the services being started, and stores and submits the information;
step two, when the deployment information is submitted, the system automatically creates a nail approval flow, related information is transferred to the nail approval flow, after approval, the information is transferred to a deployment tool, the deployment tool automatically checks the deployment information and a packaging program, and a timing task is created according to specified time;
and step three, triggering a deployment task at the time, starting to upload files, restarting services, checking service states, and informing related personnel of the state information.
2. The system-insensitive automatic iteration method of claim 1, characterized in that in step one comprises a shutdown deployment strategy option.
3. The system-insensitive automatic iteration method according to claim 1, wherein in the second step, the approval process comprises approval flow of technical responsibility- > test responsibility- > operation and maintenance department.
4. The system-insensitive automatic iteration method of claim 1, wherein in step three, the status information is notified to the relevant personnel through mail, nail and Web interface.
5. The system-insensitive automatic iteration method of claim 1, wherein the second step further comprises: the deployment tool verifies information such as cloud environment, service name, branch and Hash; after the verification is passed, pulling the code from the Git code warehouse and packaging; e.g., packaging failure, mail and staple message notification to related colleagues; and if the packaging is successful, creating a timing task according to the planned deployment time.
6. The system-insensitive automatic iteration method of claim 1, wherein the third step further comprises: after the time point is reached, pushing the deployment program package to the target machine for the Linux SSH connection support according to the client system environment; for those supporting http or https downloads, the Agent program will download the deployment package from the file server.
7. The system-insensitive automatic iteration method of claim 1, further comprising, for deploying a certain service, cutting off load balancing traffic through a deployment tool, restarting the service, adding the load balancing traffic after normal startup, and rolling deployment by a cluster application to realize system-insensitive publishing.
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US20190243742A1 (en) * | 2018-02-02 | 2019-08-08 | Bank Of America Corporation | Smart tool for enterprise-wide software integration and deployment |
CN110572436A (en) * | 2019-08-12 | 2019-12-13 | 浙江讯盟科技有限公司 | Multi-place cross-cluster server deployment method and system |
CN111309441A (en) * | 2020-02-19 | 2020-06-19 | 北京中数智汇科技股份有限公司 | Micro-service deployment method for realizing DevOps based on Jenkins |
CN111414172A (en) * | 2020-03-18 | 2020-07-14 | 时时同云科技(成都)有限责任公司 | Automatic deployment and release system and method for application software |
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- 2021-06-10 CN CN202110645976.4A patent/CN113438104A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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US20190243742A1 (en) * | 2018-02-02 | 2019-08-08 | Bank Of America Corporation | Smart tool for enterprise-wide software integration and deployment |
CN108924217A (en) * | 2018-06-29 | 2018-11-30 | 中山大学 | A kind of distribution cloud system Automation arranging method |
CN109683921A (en) * | 2018-12-28 | 2019-04-26 | 国网江苏省电力有限公司信息通信分公司 | A kind of whole process system deployment method based on Automation of Electric Systems operation platform |
CN110572436A (en) * | 2019-08-12 | 2019-12-13 | 浙江讯盟科技有限公司 | Multi-place cross-cluster server deployment method and system |
CN111309441A (en) * | 2020-02-19 | 2020-06-19 | 北京中数智汇科技股份有限公司 | Micro-service deployment method for realizing DevOps based on Jenkins |
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