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5 Multi-cloud Data Management Best Practices You Should Follow

Blog post from ChaosSearch

Post Details
Company
Date Published
Author
David Bunting
Word Count
1,505
Company Posts That Month
4
Language
English
Hacker News Points
-
Post removed?
No
Summary

Multi-cloud data management is crucial for organizations to avoid vendor lock-in, leverage best-of-breed technologies, and optimize cloud infrastructure spending by choosing the most cost-effective cloud provider and services for each use case. To achieve this, enterprises need to enable data portability with cross-cloud data sharing technologies, aggregate and centralize data in a single database or cloud data platform, standardize security practices across cloud providers, implement multi-cloud disaster recovery, and optimize data retention policies based on legal/regulatory compliance and operational needs. While multi-cloud and hybrid cloud data management share similarities, the latter often places greater emphasis on integrating and managing data between on-prem, private cloud, and public cloud services, as well as securing sensitive data on local servers or in the public cloud. By adopting a multi-cloud data management strategy, organizations can unlock the potential of their data and achieve significant benefits such as live analytics, cost-effectiveness, and enhanced security.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 2 498 129 66 +64%
Observability 2 1,192 205 85 -3%
Kubernetes 1 1,241 149 76 -33%
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