CN115268929B - Pole Jian Yunwei method supporting light delivery deployment - Google Patents
Pole Jian Yunwei method supporting light delivery deployment Download PDFInfo
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- CN115268929B CN115268929B CN202210885456.5A CN202210885456A CN115268929B CN 115268929 B CN115268929 B CN 115268929B CN 202210885456 A CN202210885456 A CN 202210885456A CN 115268929 B CN115268929 B CN 115268929B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/61—Installation
- G06F8/63—Image based installation; Cloning; Build to order
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a method for supporting light delivery deployment Jian Yunwei, which mainly solves the problems of repeated and complicated delivery work, high manual operation cost, easy error, long time consumption for delivery deployment, slow effect and high later maintenance cost of the traditional software system. The invention adopts the mode of a dock mirror image and a private harbor mirror image warehouse to carry out version management of the compiling package mirror image of the PAAS middleware and the business service, and the business service mirror image is pre-installed with a basic environment on which the business service is dependent. The cloud host servers with different architectures can rapidly complete delivery and deployment of services only by directly pulling corresponding PAAS middleware images and business service images from a cloud server private warehouse in a dock environment and starting the corresponding PAAS middleware images and business service images without concern about differences and installation process details of the servers. Therefore, the method is suitable for popularization and application.
Description
Technical Field
The invention belongs to the technical field of computer software development, and particularly relates to a pole Jian Yunwei method for supporting light delivery deployment.
Background
The quick delivery and high availability of the application software system are required to involve quick dependency environment construction, quick compiling deployment and normalized operation and maintenance work for the system. The general delivery and deployment needs to compile business service codes and build corresponding operation environments according to different network environments of different server architectures, and deployment is carried out, and normalized operation and maintenance tools comprise zabbix, nagois, cacti and the like, wherein the tools can support monitoring of server indexes such as CPU, memory and IO of a cloud server.
The existing software system needs to be correspondingly compiled and packaged according to different server architectures such as an X86 architecture, an ARM architecture and the like every time of delivery and compiling deployment delivery, and the dependent PAAS middleware supporting the corresponding architecture is searched for compiling and installing packages and is configured and installed, so that the labor operation cost is high, mistakes are easy to occur, the delivery and deployment time is long, the effect is slow, the later maintenance cost is high, and the extremely-simple operation and maintenance are inconvenient.
The normalized operation and maintenance tool has complete performance monitoring on the cloud server, but the graphical large screen display is insufficient, and the health service availability and the monitoring capability of middleware on the business system are limited, so that the business service and the middleware service cannot be effectively and timely monitored, the fault is inconvenient and fast to remove, and the operation and maintenance efficiency is low.
Disclosure of Invention
The invention aims to provide a method for supporting light delivery deployment Jian Yunwei, which mainly solves the problems of repeated and complicated delivery work, high manual operation cost, easy error, long delivery deployment time, slow effect and high later maintenance cost of the conventional software system.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a pole Jian Yunwei method supporting a light delivery deployment, comprising the steps of:
(S1) compiling and packaging a compiling package of a cloud server adapting to an X86 architecture and an ARM architecture by adopting jenkins open source software and dock open source software;
s2, performing version management of the PAAS middleware compiling package image and the business service compiling package image by adopting a mode of combining the business service dock image with a private harbor image warehouse;
(S3) the cloud servers with different architectures directly pull corresponding PAAS middleware images and business service images from a cloud private harbor image warehouse in a dock environment and start the corresponding PAAS middleware images and business service images, and the delivery and deployment of the service are completed rapidly;
(S4) deploying zabbix server ends and business monitoring services in the cloud, reporting the private cloud acquisition index data to the cloud zabbix server ends through a front-end processor, and carrying out early warning monitoring on the cloud zabbix server according to warning configuration rules and reported data; the service monitoring service detects each private cloud service probe, core API and middleware service through the front-end processor, and performs early warning according to a set strategy;
(S5) providing configuration center service through the nano registry, and decoupling business service compiling and packaging to environment configuration dependence of the PAAS middleware.
Further, in the present invention, in the step (S2), the version management of the compiled package image of the service is to compile and package the service code in the company intranet jenkins pipeline job, pull the project code from the code library, then build the service dock image compatible with the X86 architecture and the ARM architecture server at the same time through maven compiling and packaging, and push the final service dock image into the harbor image warehouse.
Further, in the step (S3), the cloud server directly pulls the corresponding PAAS middleware mirror image and the corresponding business service mirror image from the cloud private harbor mirror image warehouse through the front end processor in the dock environment, and installs and deploys the corresponding PAAS middleware mirror image and the corresponding business service mirror image.
Further, in the invention, the configuration center provided by the nacos registration center uniformly configures and distributes IP, port and account information of the PAAS middleware; and dynamically adjusting and updating the IP, port and account information of the PAAS middleware through the configuration center of the nacos.
Compared with the prior art, the invention has the following beneficial effects:
the invention can well realize the quick delivery of business service and the long-term low-cost operation and maintenance problem in the later period, and ensure that the service operates in a long-term effective monitoring environment. Therefore, the delivery deployment time is further shortened, the technical threshold of delivery deployment monitoring is reduced, the later labor operation and maintenance cost is reduced, and the quick service version upgrading after delivery is supported.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The invention will be further illustrated by the following description and examples, which include but are not limited to the following examples.
Examples
As shown in FIG. 1, in the pole Jian Yunwei method for supporting light delivery deployment, jenkins open source software is combined with dock open source software to compile and package a compiling package of a cloud server adapting to an X86 architecture and an ARM architecture; the method and the device solve the requirement of rapid service upgrading of cloud servers of different architectures. And in the built cloud server, performing version management of the PAAS middleware mirror image and the service compiling package mirror image by adopting a mode of combining the service dock mirror image with the private harbor mirror image warehouse.
Specifically, in the company intranet jenkins pipeline job, the business codes are compiled and packed, item codes are pulled from a code library, then a business service dock mirror image compatible with an X86 architecture and an ARM architecture server is constructed through maven compiling and packing, and the final business service dock mirror image is pushed to a hardor mirror image warehouse. Wherein the business service docker mirror image has pre-installed the basic environment on which the business service runs. The cloud servers with different architectures can rapidly complete delivery and deployment of services only by directly pulling corresponding PAAS middleware images and business service images from a cloud server private warehouse through a front-end processor in a dock environment and starting the corresponding PAAS middleware images and business service images without concern about differences of the servers and details of installation processes. And when the business service version is updated, the corresponding business service dock mirror image is only required to be updated in the private cloud.
In order to ensure that the service after delivery can be in an environment with all-line monitoring, in the embodiment, zabbix servers are deployed in the cloud, all private clouds report the cloud zabbix servers through a front-end processor by adopting index data, and the cloud zabbix servers perform early warning monitoring according to warning configuration rules and reported data. Meanwhile, the service monitoring service is deployed at the cloud, and the private cloud service probes, the core APIs and the middleware are detected and early-warned according to corresponding strategies through the private cloud front-end processor. The combined double monitoring model comprehensively monitors the health index of the cloud server, the core service API, the heartbeat of the core service instance and the middleware service, and cooperates with quick monitoring alarms (including short messages, mails, nail notifications and the like) to perform high-availability and quick obstacle removal on abnormal services, so that the high-availability and stable operation of the services is ensured.
Finally, the configuration center service provided by the nacos registration center is utilized to solve the problem of the coupling of PAAS middleware configuration and service configuration compiling packaging, the configuration center is used for uniformly configuring and issuing the IP, port and account information of the PAAS middleware, and the configuration center of the nacos is used for dynamically adjusting and updating the IP, port, account information and other configuration item information of the PAAS middleware. Therefore, the configuration and installation in the PAAS are independent and flexible, the business service compiling and packaging are independent, and the cloud sharing of the packaging results is strong.
Through the design, the invention can well realize the quick delivery of business service and the long-term low-cost operation and maintenance problem in the later period, and ensure that the service operates in a long-term effective monitoring environment. Therefore, the delivery deployment time is further shortened, the technical threshold of delivery deployment monitoring is reduced, the later labor operation and maintenance cost is reduced, and the quick service version upgrading after delivery is supported.
The above embodiment is only one of the preferred embodiments of the present invention, and should not be used to limit the scope of the present invention, but all the insubstantial modifications or color changes made in the main design concept and spirit of the present invention are still consistent with the present invention, and all the technical problems to be solved are included in the scope of the present invention.
Claims (3)
1. A pole Jian Yunwei method for supporting a light delivery deployment, comprising the steps of:
(S1) compiling and packaging a compiling package of a cloud server adapting to an X86 architecture and an ARM architecture by adopting jenkins open source software and dock open source software;
s2, performing version management of the PAAS middleware compiling package image and the business service compiling package image by adopting a mode of combining the business service dock image with a private harbor image warehouse; the version management of the compiled package image of the service is realized by compiling and packaging the service codes in a company intranet jenkins pipeline job, pulling item codes from a code library, then compiling and packaging by maven to construct a service dock image compatible with an X86 architecture and an ARM architecture server at the same time, and pushing the final service dock image into a harbor image warehouse;
(S3) the cloud servers with different architectures directly pull corresponding PAAS middleware images and business service images from a cloud private harbor image warehouse in a dock environment and start the corresponding PAAS middleware images and business service images, and the delivery and deployment of the service are completed rapidly;
(S4) deploying zabbix server ends and business monitoring services in the cloud, reporting the private cloud acquisition index data to the cloud zabbix server ends through a front-end processor, and carrying out early warning monitoring on the cloud zabbix server according to warning configuration rules and reported data; the service monitoring service detects each private cloud service probe, core API and middleware service through the front-end processor, and performs early warning according to a set strategy;
(S5) providing configuration center service through the nano registry, and decoupling business service compiling and packaging to environment configuration dependence of the PAAS middleware.
2. The method according to claim 1, wherein in the step (S3), the cloud server directly pulls the corresponding PAAS middleware image and the corresponding business service image from the cloud private harbor image repository through the front end processor in the dock environment, and installs the deployment.
3. The method for supporting the light delivery deployment according to claim 2, wherein the configuration center provided by the nano registry uniformly configures and distributes the IP, port and account information of the PAAS middleware, and dynamically adjusts and updates the IP, port and account information of the PAAS middleware through the configuration center of the nano.
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