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Inter-Cloud: Sharing Data Between Cloud Platforms and Services

As an organization adopts a multicloud strategy and offloads aspects of its operations to several cloud vendors, inter-cloud integration becomes the inevitable and also crucial next step to remove the data silos in this expanded IT infrastructure. Without continuous connectivity between critical systems, today’s business operations cannot flow seamlessly and accurately.

For example, when adopting a new operational reporting and analytics solution in the cloud (in addition to in-house transactional data) data from existing SaaS applications, data stores, and apps running on the cloud need to be connected into the new data store on an ongoing basis. The new cloud data store needs to have all relevant data in a timely manner to be able to provide a complete and up-to-date picture of the business operations.

Also, when initiating a new cloud solution, data migration from an existing cloud service to the new one may be necessary to set up the new cloud service. Finally, during transitions from one cloud vendor to another, cloud-to-cloud integration is required.

Key Data Considerations for Streaming Inter-Cloud Integration

Inter-Cloud integration use cases encompass the use cases we discussed earlier, including migration, building new business systems, and cloud analytics. The difference is that the source system is now a cloud-based system, and the destination is a different cloud environment or a private cloud.

To support this architecture, organizations need to look for data integration solutions that meet the requirements of each use case that we discussed earlier, and can source data from different cloud platforms and deliver data back to a public or private cloud for a  connective and responsive business. Ability to run in the cloud as a platform service also delivers ease-of-use and strategic fit for those businesses that want to run integration processes in the cloud as well.

Building an effective inter-cloud strategy requires ingesting, processing, and delivering data in real time between and among different cloud environments.