Multi-Cloud Data Layer Essentials

Understanding Core Application Workloads and Best Practices

For decades, separation of business logic from the persistent data it manipulates has been well established in software application architectures. With the emergence of microservices, the need has come for this data to become a service. By implementing more applications in the cloud as microservices, the data services needed to support these applications will be delivered by different technologies and databases — each optimized by the needs of the microservices it is supporting. 

The optimal result is a multi-cloud data layer with the capability to deliver the appropriate data services for any use case. A multi-cloud data layer delivers core capabilities for both existing applications to help bridge digital transformation initiatives as well as new cloud-native applications and microservices. This Refcard further explores core capabilities, key considerations, and essential workloads, like: 

  • Latency 
  • Transactional consistency 
  • Arrival velocity 
  • Data access volume 
  • And more! 


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