5 Multi-cloud Data Management Best Practices You Should Follow
Blog post from ChaosSearch
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.
| 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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