Salesforce, Inc.

Salesforce Com, Inc.

Abhishek B Waichal

Srinivas Dhruvakumar

Varun Gupta

Mayakrishnan Chakkarapani

Christopher Steven Moyes

Zemann Phoesop Sheen

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.

Orchestration of datacenter destruction on a cloud platform

A system provides a framework for testing template code processed by a templating engine. A multitenant system may use template code for implementing Infrastructure as Code (IAC), for example, to generate pipelines for deploying software or provisioning resources for a datacenter configured in a cloud platform. The system sets the search path in a template engine environment object dynamically for each template file. The system allows testing of macros used by the template engine. The system converts the macros to callable entities that can be invoked by test cases. The system allows developers to finding code defects earlier and increase application availability. The system provides flexibility in testing and automation in running the tests. Furthermore, the system allows a separation of production code with unit tests.

Testing templates used for implementing infrastructure as code

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.

Orchestration of datacenter creation on a cloud platform

A system receives one or more modifications to a platform-independent declarative specification from a set of data center entity owner teams to generate a modified platform-independent declarative specification that captures various aspects for deploying a data center on a target cloud platform. The system performs end-to-end validation of the modifications in multiple phases, starting with validating the modifications based on a set of predefined rules associated with the modified platform-independent declarative specification. When all the multiple phases of validation indicate success, the system a notification of end-to-end validation success in association with the received changes. Each request to modify a data center entity in the platform-independent declarative specification undergoes governance checks to ensure that the approver of the request belongs to a predefined set of owners associated with the data center entity.

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Fremont, CA, United States of America

Abhishek B Waichal