Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in datacenters created in a cloud platform. The system receives multiple version maps. Each version map provides version information for a particular context associated with the datacenter. The context may specify a target environment, a target datacenter entity, or a target action to be performed on the cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate version map associating datacenter entities of the datacenter with versions of software artifacts targeted for deployment on the datacenter entities and versions of pipelines. The system executes the aggregate pipeline in conjunction with the aggregate version map to perform requested operations on the datacenter configured on the cloud platform, for example, provisioning resources or deploying services.

Abstract: Techniques are disclosed relating to implementing automated retries during orchestration of a datacenter on a cloud platform. Generating an orchestration workflow for the datacenter may include generating an aggregate pipeline for the orchestration. The aggregate pipeline includes instances of datacenter entity pipelines that include stages for provisioning and deployment of datacenter entities. The disclosed techniques include adding retry stages to the datacenter entity pipelines that are automatically invoked in the event of failure of a datacenter entity pipeline. The retry stages are placed at the end of individual datacenter entity pipelines and conditional expressions are included that invoke retry strategies defined by owners of the datacenter entity.

Abstract: Techniques are disclosed relating to implementing an incremental update to an existing datacenter on a cloud platform. The datacenter may have been built on a cloud platform according to a declarative specification that describes dependencies between datacenter entities in the datacenter. When an update is requested for the datacenter (e.g., by a customer or other entity), the system determines datacenter entities that are being changed in association with the update and execution dependencies associated with the update request. The system then initiates execution of the execution dependences and waits for the execution dependencies to be completed. Once the execution dependencies are completed, the system initiates orchestration of the datacenter in order to update the datacenter on the cloud platform with the addition or removal of datacenter entities on the datacenter.

Abstract: Techniques are disclosed relating to implementing an end-to-end orchestration for a datacenter on a cloud platform. A datacenter may be orchestrated on a cloud platform according to a declarative specification that describes dependences between datacenter entities (e.g., services) in the datacenter. Some datacenter entities may execution dependencies, which include activities, steps, or events that need to be completed for the datacenter entities to be ready for orchestration. Accordingly, in order for an orchestration workflow to be able to execute from beginning to end without interruption, all the execution dependencies for all the datacenter entities in the orchestration workflow need to be completed. The techniques disclosed include automatically initiating execution of the execution dependencies and waiting for indications that the execution activities are completed before executing the orchestration workflow.

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 a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

Abstract: A computing system, for example, a multi-tenant system configures a datacenter in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system destroys the datacenter or a set of datacenter entities of the datacenter. The system determines dependencies between datacenter entities based on the declarative specification. The system generates an aggregate destroy pipeline comprising a hierarchy of pipelines. The system generates an aggregate destruction version map associating datacenter entities of the datacenter with versions of software artifacts, wherein a software artifact stores instructions for destroying resources of a datacenter entity. The system collects a set of software artifacts according to the aggregate destruction version map. The system executes the aggregate destroy pipeline in conjunction with the aggregate destruction version map to destroy the set of datacenter entities of the datacenter.

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 a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in datacenters created in a cloud platform. The system receives multiple version maps. Each version map provides version information for a particular context associated with the datacenter. The context may specify a target environment, a target datacenter entity, or a target action to be performed on the cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate version map associating datacenter entities of the datacenter with versions of software artifacts targeted for deployment on the datacenter entities and versions of pipelines. The system executes the aggregate pipeline in conjunction with the aggregate version map to perform requested operations on the datacenter configured on the cloud platform, for example, provisioning resources or deploying services.

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 a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

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 a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

Abstract: A system is presented for provisioning resources on a target cloud platform based on a platform-independent specification of a data center. The system identifies data center entities represented within the platform-independent declarative specification and generates data structures and metadata representations of the data center entities. The system then generates instructions for provisioning services or deploying applications for creating one or more services on the target cloud platform based on the data structures and metadata representations of the data center entities according to the declarative specification. The system sends the generated instructions for execution on the target cloud computing platform, where the target cloud computing platform executes the instructions to generate the data center. The system provides users with access to the computing resources of the data center created by the cloud computing platform.

Abstract: Computing systems, for example, multi-tenant systems create data centers in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives a cloud platform independent declarative specification describing a new datacenter to be created or modifications to an existing datacenter deployed on a cloud platform. The system compiles the cloud platform independent declarative specification to generate a metadata representation of the data center. If the datacenter is existing, the system generates a metadata representation representing modifications to the datacenter to obtain a desired datacenter. The system sends the metadata representation and a set of instructions for execution on a target cloud platform. The target cloud platform executes the instructions to configure the data center. The system provides users with access to the computing resources of the data center configured by the target cloud platform.

Abstract: A system is presented for provisioning resources on a target cloud platform based on a platform-independent specification of a data center. The system identifies data center entities represented within the platform-independent declarative specification and generates data structures and metadata representations of the data center entities. The system then generates instructions for provisioning services or deploying applications for creating one or more services on the target cloud platform based on the data structures and metadata representations of the data center entities according to the declarative specification. The system sends the generated instructions for execution on the target cloud computing platform, where the target cloud computing platform executes the instructions to generate the data center. The system provides users with access to the computing resources of the data center created by the cloud computing platform.