The importance of data protection in the enterprise is greater than ever. Data protection can refer broadly to concepts such as high availability, business continuity, backup and recovery, and disaster recovery. Whatever you call it, all enterprises must implement, test, and maintain strategies for data protection in order to avoid risking their reputation and revenue.
Deploying business critical applications to Kubernetes? Make sure you understand the most critical requirements for protecting your data.
- Major data protection requirements for different types of applications
- How to protect clusters against hazards while providing visibility into the lifecycle
- Tools for automatic detection of cluster failures, cluster synchronization, and automatic promotion of standby clusters to active clusters
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