316 results about "Deployment environment" patented technology

A configurable robotic apparatus and system is disclosed that is remotely operable in difficult, hazardous, subterranean, or submerged environs. The apparatus merges diverse disciplines to effect inspecting, cleaning, treating, repairing or otherwise maintaining a wide variety of materials and conditions. Deployment environments include power, municipal water and wastewater plants, surface and submerged infrastructures (pipes, lines, conduits), and like industrial applications. Extensible and articulating modules, configurable through standardized and interchangeable connectors, provide unique flexibility, scalability and versatility to accommodate a wide range of shapes, surfaces, and obstacles. In-module intelligence and instrumentation eliminates the need for constant manual control through autonomous operation capable of simultaneous optimization and synchronization of multiple work processes, but manual override and remote control is provided to overcome unanticipated limitations. Benefits include improved efficiency, cost, and safety over prior art. High-performance, one-pass operation reduces facility downtime while incorporating environmentally responsible debris recovery.

Disclosed is a system and method for enabling dynamic class reloading in the application server environment. Users may specify class versionability by specifying a list of explicitly versionable classes; and the application server(s) may execute a background task which operates periodically to check modified versionable classes, and cause the classes to be reloaded.Administrators may specify a set of class files to be treated as a “bundle”. When the bundle is deployed, a deployer manager may obtain a lock, e.g. a semaphore, referred to as the “dirtyClassListLock”. Once this lock is obtained, the deployer manager may copy all the class files in the bundle from a deployment environment to their appropriate runtime locations. After the runtime locations have been updated, the deployer manager may release the dirtyClassListLock. According to this method, the background task that checks for and reloads modified classes may also have to obtain the dirtyClassListLock in order to run. Thus, the background task will discover and reload class files in the bundle atomically.

A computer implemented method and system for software auditability and bidirectional traceability in a software development lifecycle is provided. The lifecycle having at least development and deployment phases is bridged with a configurable workflow engine, a configuration management engine, and a managed deployment engine, interconnected with one or more representations of work to be performed or of work performed. Additionally, auditability and bidirectional traceability is provided by linking a development asset in the development phase to a deployment asset in the deployment phase so that: the development asset can be determined from the deployment asset; a deploying entity deploying the deployment asset can be determined from the development asset; a development request for developing the development asset can be determined from the deployment asset deployed; and a deployment environment where the deployment asset is being deployed can be determined from the development asset.

An appliance support module can be configured to build software appliances for use in a hosted environment. The appliance support module can be configured to build the hosted appliances based on a request by a user for the hosted appliances. The appliance support module can be configured to receive a request to migrate the hosted appliances to an on-premise system. To migrate the hosted appliance, the appliance support module can be configured to convert the hosted appliances into a format capable of being supported by the on-premise systems.

The embodiment of the invention provides a method for managing application configuration parameters in a concentrated mode and a method for configuring the application parameters. The method for managing the application configuration parameters includes the steps that a concentrated configuration server obtains configuration parameter names and configuration parameter values needed by all applications input by a user in a current environment; the concentrated configuration server allocates the only corresponding key word for each configuration parameter value of each application, wherein the key word is further matched with the configuration parameter name of each application; a request of a concentrated configuration client for obtaining a configuration parameter list is responded, and the corresponding relation of the key words and the configuration parameter names needed by the applications integrated at the concentrated configuration client is fed back to the concentrated configuration client; the concentrated configuration server stores the key words and the configuration parameter values correspondingly, so that when a key word sent by the concentrated configuration client is received, the only corresponding configuration parameter value can be provided for the concentrated configuration client. According to the methods, a self-deployment environment of the applications can be fulfilled.

A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

A configurable robotic apparatus and system is disclosed that is remotely operable in difficult, hazardous, subterranean, or submerged environs. The apparatus merges diverse disciplines to effect inspecting, cleaning, treating, repairing or otherwise maintaining a wide variety of materials and conditions. Deployment environments include power, municipal water and wastewater plants, surface and submerged infrastructures (pipes, lines, conduits), and like industrial applications. Extensible and articulating modules, configurable through standardized and interchangeable connectors, provide unique flexibility, scalability and versatility to accommodate a wide range of shapes, surfaces, and obstacles. In-module intelligence and instrumentation eliminates the need for constant manual control through autonomous operation capable of simultaneous optimization and synchronization of multiple work processes, but manual override and remote control is provided to overcome unanticipated limitations. Benefits include improved efficiency, cost, and safety over prior art. High-performance, one-pass operation reduces facility downtime while incorporating environmentally responsible debris recovery.

The invention provides a micro-service framework-oriented application management method and system. The method comprises the steps of performing application description on services of to-be-managed applications according to a preset service description language; according to actual physical resource pool information and the application description, planning corresponding application topologies forthe to-be-managed applications; according to the application topologies and a service dependency relationship of the services, deploying the services to corresponding physical resources; according toa service health check routine and a user-defined application level health state check routine, performing health state check on the services deployed to the physical resources; and monitoring healthstate check results of the services, and when abnormal services are checked out, performing error restoration on the abnormal services and the services with the dependency relationship with the abnormal services. In a given physical deployment environment, an optimal topology is obtained; the deployment is performed by following the service dependency relationship; the health states of the services are continuously monitored; and the error restoration of the abnormal services and other services on a dependency chain is realized.