Salesforce, Inc.

Salesforce Com, Inc.

Srinivas Dhruvakumar

Varun Gupta

Mayakrishnan Chakkarapani

Christopher Steven Moyes

Abhishek B Waichal

Joshua Paul Meier

Zemann Phoesop Sheen

Jeremiah David Brazeau

Kishore Sasidharan

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

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.

Orchestration of operations on a cloud platform based on multiple version maps of services

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

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.

Modifying a data center based on cloud computing platform using declarative language and compiler

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.

Declarative language and compiler for provisioning and deploying data centers on cloud platforms

A system receives a pause request to pause a virtual environment that includes one or more virtual machines, each respective virtual machine having a mounting point connected to at least one corresponding block level storage volume. The system builds a model and a dependency graph of one or more components in the virtual environment. The system stores the model, the dependency graph and tags a snapshot of each corresponding block level storage volume. The system stops the one or more components in accordance with dependency logic of the dependency graph and stops the one or more virtual machines. The system builds the virtual environment and restarts the virtual machines in response to a resume request.

Restoring the state of paused virtual machine environments with external attached volumes

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.

Validation and governance of a cloud computing platform based datacenter

A system receives one or more changes to a platform-independent declarative specification to generate a modified platform-independent declarative specification that captures various aspects for deploying a data center on a target cloud platform. The system facilitates auditing by generating a snapshot of each modified declarative specification. After compilation of the modified declarative specification to generate a platform-specific metadata representation of the data center, the system generates a unique identifier, and associates the generated snapshot of the modified declarative specification, the metadata representation of the data center, the provisioned cloud resources on the target cloud platform, and the deployed data center on the target cloud platform with the unique identifier. The associated identifier is subsequently used for performing audit tracking of changes made to data center entities associated with the any of: a metadata representation, a set of provisioned cloud resources, and a deployed data center.

Auditing metadata representation of a cloud-computing platform based datacenter

Described is a system that improves the performance of brokers that store partitions of data within a distributed data streaming platform by performing an efficient data redistribution process. The system may obtain data (e.g. metadata) describing the distribution storage partitions amongst storage brokers and determine the current (or initial) distribution may negatively impact the performance of the platform. Accordingly, the system may perform an efficient redistribution by performing a particular sequence of partition reassignments amongst brokers.

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Vancouver, Canada

Srinivas Dhruvakumar