Abstract:
Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for datacenter entities of the datacenter and a cloud platform independent master pipeline that includes instructions for performing operations related to services on the datacenter, for example, deploying software artifacts, provisioning computing resources, and so on. The system compiles the cloud platform independent master pipeline in conjunction with the artifact version map to generate cloud platform specific detailed pipeline that deploys the appropriate versions of deployment artifacts on the datacenter entities in accordance with the artifact version map. The system sends the cloud platform specific detailed pipeline to a target cloud platform for execution.
Abstract:
Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for datacenter entities of the datacenter and a cloud platform independent master pipeline that includes instructions for performing operations related to services on the datacenter, for example, deploying software artifacts, provisioning computing resources, and so on. The system compiles the cloud platform independent master pipeline in conjunction with the artifact version map to generate cloud platform specific detailed pipeline that deploys the appropriate versions of deployment artifacts on the datacenter entities in accordance with the artifact version map. The system sends the cloud platform specific detailed pipeline to a target cloud platform for execution.
Abstract:
Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for datacenter entities. The system generates a master pipeline for deploying services on a target cloud platform. The master pipeline includes a change management stage comprising instructions for interacting with a change management system. The execution of the change management stage of a pipeline provides a status of deployment of one or more services to the change management system. The details recorded can be used for auditing, for example, to determine why certain change in the configuration of services of the datacenter was made.
Abstract:
Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for datacenter entities. The system generates a master pipeline for deploying services on a target cloud platform. The master pipeline includes a change management stage comprising instructions for interacting with a change management system. The execution of the change management stage of a pipeline provides a status of deployment of one or more services to the change management system. The details recorded can be used for auditing, for example, to determine why certain change in the configuration of services of the datacenter was made.
Abstract:
Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system allows users to specify a system configuration freeze for a time interval for services running in a datacenter configured on a cloud platform. During the system freeze, changes to the system are prohibited or put on hold. The system generates pipelines for modifying system configuration of services. A pipeline includes a change stage for making a change associated with a service and a pre-change stage for acquiring a lock. If the system receives a request for performing system freeze of a datacenter entity, the system acquires locks on services of the datacenter entity. As a result, execution of pipelines configured to change the system configuration of the services is put on hold.
Abstract:
Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for datacenter entities of the datacenter and a cloud platform independent master pipeline that includes instructions for performing operations related to services on the datacenter, for example, deploying software artifacts, provisioning computing resources, and so on. The system compiles the cloud platform independent master pipeline in conjunction with the artifact version map to generate cloud platform specific detailed pipeline that deploys the appropriate versions of deployment artifacts on the datacenter entities in accordance with the artifact version map. The system sends the cloud platform specific detailed pipeline to a target cloud platform for execution.