13results about How to "Implement automatic deployment" patented technology

The invention provides an automatic deployment method, device and equipment for database monitoring and a medium, and relates to the technical field of automatic deployment, the method comprises the following steps: determining to-be-configured file information and to-be-deployed codes based on acquired to-be-deployed server information corresponding to a target project; processing the project label information, the initial middleware configuration information, the system version information and the to-be-deployed code to generate an initial file package; deploying the initial file package to a to-be-deployed server based on initial configuration parameter information corresponding to the target item, and determining target middleware configuration information for environment information corresponding to the to-be-deployed server; updating the initial configuration parameter information by using the target middleware configuration information, and determining target configuration parameter information; and realizing automatic deployment for the target project based on the target configuration parameter information and the target file package corresponding to the target configuration parameter information.

The invention is applicable to the technical field of computer software, and provides an application deployment method, which comprises the following steps: acquiring code information of a to-be-deployed application; generating a mirror image file based on the code information, and storing the mirror image file in a mirror image warehouse; and under the condition that the mirror image file is stored in the mirror image warehouse, sending a deployment command to a second electronic device, so that the second electronic device logs in the mirror image warehouse based on the deployment command to download the mirror image file, generates a container based on the mirror image file, and deploys the application based on the container. Automatic deployment can be realized, so that the application deployment efficiency can be improved.

The embodiment of the application provides a kind of fog computing system, method, electronic equipment and storage medium, applied to fog computing technical field, server, receives the computing instruction sent by user;First computing request for executing target algorithm analysis task is sent to first fog computing device;First fog computing device, for receiving first computing request;According to the algorithm identification and the computing resource information required for executing target algorithm analysis task, it is judged whether itself can execute target algorithm analysis task, and the second computing request of fog computing task is generated and sent to second fog computing device;Second fog computing device, receives second computing request;According to the algorithm identification required for executing target algorithm analysis task, the algorithm required for executing target algorithm analysis task is obtained from server, and target algorithm analysis task is executed.The application can realize the automatic selection of fog computing device and the automatic deployment of fog computing task, and improve the utilization efficiency of resources in fog computing system.

The invention discloses a method and a system for deploying an OpenShift cluster based on a cloud platform. The method comprises the following steps: acquiring configuration information which is submitted by a user on a customized page of a cloud platform source console and is used for configuring a bastion host, an OpenShift guide node, a main node and a working node through the cloud platform; and automatically creating a virtual machine and configuring the bastion host, the OpenShift guide node, the main node and the working node through the cloud platform according to configuration information required for configuring the bastion host, the OpenShift guide node, the main node and the working node, thereby completing automatic configuration of the OpenShift cluster. The invention aims to realize automatic deployment of the OpenShift cluster, improve the deployment efficiency of the OpenShift cluster and reduce the deployment difficulty of the OpenShift cluster.

This invention discloses a server deployment method, apparatus, electronic device, storage medium, and program product. Specific implementation includes: determining a deployment task and a server to be deployed as indicated by the deployment task; determining a startup mode corresponding to the server to be deployed based on the deployment task; determining a basic configuration file corresponding to the server to be deployed based on the startup mode; determining a file to be deployed based on the startup mode and the basic configuration file; and downloading the file to be deployed to the server to be deployed. By determining the deployment task through a device evaluation platform, automatic deployment of the server to be deployed is achieved. Determining the basic configuration file ensures consistency during deployment by the device evaluation platform. Downloading the file to be deployed to the server simplifies the deployment process, reduces manual operations, and provides a stable and reliable operating environment for upper-layer services.

The invention relates to an integrated environment deployment method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining deployment demands, the deployment demands comprise a plurality of to-be-deployed systems and dependency deployment demands in one-to-one correspondence with the to-be-deployed systems, and the dependency deployment demands comprise a dependency combination demand and a version demand of each dependency item in a dependency combination; performing dependency item matching on the dependency deployment demand and a plurality of off-line programs in a preset target server, wherein the off-line programs comprise a control program for performing dependency package installation and a plurality of dependency packages; if the matching of any dependency deployment demand fails, sending an offline program customization prompt, and storing the customized offline program to a target server; if all the dependent deployment requirements are successfully matched, integrated environment deployment of the multiple to-be-deployed systems is completed based on offline programs corresponding to the dependent deployment requirements; according to the method, automatic deployment of an integrated environment of multiple engineering machines, namely multiple to-be-deployed systems, can be realized.

The invention provides a micro-service remote management method and system in the technical field of micro-service management, and the method comprises the steps: S1, a server obtains an input application code, carries out the compiling and packaging of the application code through a continuous integration tool and a shell script, obtains a software package of a micro-service, and sets the software information of the software package; s2, uploading the software package to an FTP (File Transfer Protocol) server; s3, binding and storing the software information corresponding to the software package and the mirror image warehouse address to a message queue; s4, after the client side and the server side are authenticated, the software information and the mirror image warehouse address are obtained through the intranet subscription message queue; s5, after version verification is carried out based on the software information, a software package is downloaded from the FTP server based on the mirror image warehouse address; and step S6, based on the software package, performing silent updating operation on the micro-service deployed locally through Kubernetes. The method has the advantages that the micro-service updating convenience and the user experience are greatly improved.

The invention discloses a system and an implementation method based on load balancing and port aggregation, and belongs to the technical field of communication, and the system comprises a load balancer which is responsible for receiving a client request and distributing the request to a back-end server according to a certain algorithm; the link aggregation controller is used for managing data flows among the plurality of physical ports and realizing link redundancy and load sharing; and the back-end service layer is composed of a plurality of servers. Requests are distributed to a plurality of back-end servers through the load balancer, the continuity of the whole service is not affected even if a certain server breaks down, meanwhile, link redundancy is achieved through the link aggregation technology, the system can continue working through other links even if a certain physical link fails, and the service efficiency is improved. And the stability and the reliability of the system are greatly improved.

The embodiment of the invention discloses a network element automatic deployment method, a private network system, a device, equipment and a storage medium, and the method is applied to an MEC server, and comprises the steps: determining a to-be-deployed target network element through detecting container instances of a plurality of network elements in a core network; wherein the container instances of the plurality of network elements are deployed in the MEC server based on a containerization technology; determining a target available IP address of the target network element; configuring an interface address parameter of the target network element based on the dependency relationship among the plurality of network elements and the target available IP address; and creating a container instance of the target network element based on the interface address parameter.

The present invention discloses a method, system and medium for processing Flink jobs. The method comprises generating a job request according to job configuration parameters and job content through a cloud platform, forwarding the job request to a workbench in a container orchestration engine through a setting component in a container orchestration engine; determining an execution plan based on the job content through a setting interface in the workbench, sending the execution plan to a corresponding Flink cluster in the workbench according to the job configuration parameters; and executing the Flink job based on the execution plan through a Flink cluster. The present invention solves the problem of low job management efficiency caused by manually logging into a remote server to manage jobs, and determines the execution plan before handing the job to a Flink cluster, which can avoid problems in code stability and readability caused by calling related components in the Flink cluster, improves code readability, reduces the difficulty of operation and maintenance, and further improves job management efficiency.

The invention discloses a change management method and system for a relational database, and the method comprises the steps: 100, responding to a change application request, and receiving change information of tables and fields; step 200, performing data standard and SQL standard check on the change information of the tables and the fields, judging whether the check is passed or not, if so, turning to step 300, and if not, re-receiving the change information of the tables and the fields after the data standard is used; 300, the change application request information is transmitted to a DBA node for change rationality auditing; and step 400, after the verification is passed, executing database change. According to the method, multiple functions of checking function, manual auditing, database automatic deployment, model change and the like are integrated, and data standard, SQL standard checking, DBA auditing, database automatic deployment and data model change are realized in the database change process.

The invention discloses a pulse stream processing method and device based on a multi-core processor, and belongs to the field of digital signal processing, and the method comprises the steps: dividing a pulse processing flow into a plurality of operator units, and on the basis, combining the core number of the processor and the average operation time of the operator units, uniformly combining the operator units, and dividing the operator units into functional blocks; and deploying each functional block on the multi-core processor in a grading manner, and realizing pipeline processing of pulse data and outputting a processing result in real time by utilizing the parallel capability of the multi-core processor. According to the invention, the real-time performance, the flexibility, the universality and the throughput of pulse data processing can be improved.

An SRv6 network slice configuration management method and system, relating to the field of communications, including: S1. The slice controller sends slice configuration data to the source node, the slice configuration data including Slice ID, slice bandwidth value and physical outbound interface information; S2. The source node encapsulates the Slice ID and slice bandwidth value into the service message through the slice identification extension header, and forwards it according to the slice sub-interface corresponding to the Slice ID; S3. The intermediate node forwards the service message and extracts the Slice ID and slice bandwidth value, adds the network node device ID and the physical outbound interface information to generate the slice information, and reports it to the slice controller; S4. The slice controller stores the previously received slice information to generate a configuration data summary table, analyzes the currently received slice information based on the configuration data summary table, and manages the slice configuration of the corresponding intermediate node. The present invention realizes automatic deployment of slices without manual operation, thereby improving management and maintenance efficiency.