Abstract: Embodiments operate a multi-tenant cloud system. At a first data center, embodiments authenticate a first client corresponding to a first tenant ID and store resources that correspond to the first client, the first data center in communication with a second data center that is configured to authenticate the first client and replicate the resources. The first data center receives an Application Programming Interface (“API”) request for the first client corresponding to a change to the resources, and generates a change log and corresponding change event message in response to the API request. Embodiments compute a first hash corresponding to the first tenant ID of the change log to determine a first partition of a first queue at the first data center. The first data center pushes the change event message to the second data center via an API call.

Abstract: Embodiments operate a multi-tenant cloud system. At a first data center, embodiments authenticate a first client and store resources that correspond to the first client, the first data center in communication with a second data center that is configured to authenticate the first client. Embodiments divide the resources into base data and regular data, where the base data is a minimum data needed to allow the resources to be available to the first client at the second data center. Embodiments store the base data on a cloud storage in a base data export file and store the regular data on the cloud storage in a regular data export file. Embodiments export the base data export file to the second data center and when the exporting the base data export file has completed, exports the regular data export file to the second data center.

Abstract: Embodiments perform write operations in a multi-tenant cloud system that includes a first data center adapted to authenticate a first plurality of registered clients and located in a first geographic area, and a second data center adapted to authenticate a second plurality of registered clients and located in a second geographic area that is different from the first geographic area. Embodiments receive a request from a first client to perform a first write for a resource at the second data center. Embodiments generate a call to the first data center including a second write for the resource at the first data center. Embodiments retrieve data corresponding to the first write and send the retrieved data to the first data center. Embodiments write on the data based on the first write, the writing on the data including changing the data to generate changed data.

Abstract: Embodiments operate a multi-tenant cloud system. At a first data center, embodiments authenticate a first client corresponding to a first tenant ID and store resources that correspond to the first client, the first data center in communication with a second data center that is configured to authenticate the first client and replicate the resources. The first data center receives an Application Programming Interface (“API”) request for the first client corresponding to a change to the resources, and generates a change log and corresponding change event message in response to the API request. Embodiments compute a first hash corresponding to the first tenant ID of the change log to determine a first partition of a first queue at the first data center. The first data center pushes the change event message to the second data center via an API call.

Abstract: Embodiments include a multi-tenant cloud system with a first data center and a second remote data center. The first data center authenticates a first client and stores resources that correspond to the first client, and is in communication with the second data center. The second data center authenticates the first client and replicates the resources. The first data center receives a write request for the first client, writes the write request and generates change event messages in a first order. The first data center pushes the change event messages to the second data center via REST API calls. In response to receiving the change event messages, the second data center is configured to write the change event messages in the first order to its local database.

Abstract: Embodiments replicate resources in a multi-tenant cloud system. Embodiments receive a master resource, associated with a master account of the cloud system to be replicated, where the master resource includes a master JavaScript Object Notation (“JSON”) object and includes a plurality of master attributes. Embodiments generate a master resource metadata JSON by calculating hash values for each of the master attributes to generate master attribute level hashes and by calculating an aggregate of all of the hash values to generate a master resource level hash. Embodiments store each master attribute of the master JSON object in a separate column of a master database table associated with the master account and store the master resource metadata JSON is in a separate hash column of the master database table. Embodiments replicate the master JSON object to create a replicated JSON object including a plurality of replicated attributes.

Abstract: Embodiments operate a multi-tenant cloud system. At a first data center, embodiments authenticate a first client and store resources that correspond to the first client, the first data center in communication with a second data center that is configured to authenticate the first client. Embodiments divide the resources into base data and regular data, where the base data is a minimum data needed to allow the resources to be available to the first client at the second data center. Embodiments store the base data on a cloud storage in a base data export file and store the regular data on the cloud storage in a regular data export file. Embodiments export the base data export file to the second data center and when the exporting the base data export file has completed, exports the regular data export file to the second data center.

Abstract: Embodiments perform write operations in a multi-tenant cloud system that includes a first data center adapted to authenticate a first plurality of registered clients and located in a first geographic area, and a second data center adapted to authenticate a second plurality of registered clients and located in a second geographic area that is different from the first geographic area. Embodiments receive a request from a first client to perform a first write for a resource at the second data center. Embodiments generate a call to the first data center including a second write for the resource at the first data center. Embodiments retrieve data corresponding to the first write and send the retrieved data to the first data center. Embodiments write on the data based on the first write, the writing on the data including changing the data to generate changed data.

Abstract: Embodiments include a multi-tenant cloud system with a first data center and a second remote data center. The first data center authenticates a first client and stores resources that correspond to the first client, and is in communication with the second data center. The second data center authenticates the first client and replicates the resources. The first data center receives a write request for the first client, writes the write request and generates change event messages in a first order. The first data center pushes the change event messages to the second data center via REST API calls. In response to receiving the change event messages, the second data center is configured to write the change event messages in the first order to its local database.

Abstract: Embodiments replicate resources in a multi-tenant cloud system. Embodiments receive a master resource, associated with a master account of the cloud system to be replicated, where the master resource includes a master JavaScript Object Notation (“JSON”) object and includes a plurality of master attributes. Embodiments generate a master resource metadata JSON by calculating hash values for each of the master attributes to generate master attribute level hashes and by calculating an aggregate of all of the hash values to generate a master resource level hash. Embodiments store each master attribute of the master JSON object in a separate column of a master database table associated with the master account and store the master resource metadata JSON is in a separate hash column of the master database table. Embodiments replicate the master JSON object to create a replicated JSON object including a plurality of replicated attributes.

Abstract: A cloud based identity management system that handles a plurality of published events that are published and consumed by microservices provides a dynamic queue that includes one or more active queues and one or more inactive queues. Embodiments create selectors for all of the active queues and the inactive queues and binds subscribers to each active queue. Embodiments dynamically cause at least one of the inactive queues to become one of the active queues when a number of published events increases.

Abstract: A cloud based identity management system that handles a plurality of published events that are published and consumed by microservices provides a dynamic queue that includes one or more active queues and one or more inactive queues. Embodiments create selectors for all of the active queues and the inactive queues and binds subscribers to each active queue. Embodiments dynamically cause at least one of the inactive queues to become one of the active queues when a number of published events increases.