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In this episode, learn how distributed cloud computing at the edge offers a strategic solution to data residency and privacy challenges in sectors like healthcare, finance, and defense. By operating compute and storage at the point of data generation—using containerized microservices and Kubernetes orchestration—it enables cloud-native adoption while ensuring compliance with localization norms. Discover the advantages: regulatory alignment, lower latency, optimized workloads, cost savings, and secure data analytics at the edge—delivered through managed services to simplify enterprise transformation.
https://blog.datamatics.com/resolve-data-residency-issues-with-distributed-cloud-computing-at-the-edge
In this episode, learn how distributed cloud computing at the edge offers a strategic solution to data residency and privacy challenges in sectors like healthcare, finance, and defense. By operating compute and storage at the point of data generation—using containerized microservices and Kubernetes orchestration—it enables cloud-native adoption while ensuring compliance with localization norms. Discover the advantages: regulatory alignment, lower latency, optimized workloads, cost savings, and secure data analytics at the edge—delivered through managed services to simplify enterprise transformation.
https://blog.datamatics.com/resolve-data-residency-issues-with-distributed-cloud-computing-at-the-edge