The importance of data protection in the enterprise is greater than ever. To avoid risking their reputation and revenue, enterprises must implement, test, and maintain strategies for data protection. Find out how in this comprehensive report from Pure Storage.
As data becomes more important in customer experience and business processes, there is little tolerance for downtime. According to the Uptime Institute’s study, 41% of outages cost over $1 million, which indicates the increasing dependence of enterprises on the Highly Available (HA) data infrastructure.
Consequently, a viable data protection strategy must ensure that downtime is rare, that applications and their data can be restored quickly, and that data privacy and regulatory compliance are upheld at all times. But despite pressing data protection demands, most companies struggle to protect their data.
Traditional data protection methods that work well for applications running on a single host do not scale well in the distributed or multi-datacenter environment such as those common in Kubernetes environments. The reasons for this are multifold.
In this new and thorough report from Pure Storage, learn more about the challenges that exist around the development of efficient data protection strategies for Kubernetes – and how you can overcome these at an enterprise-wide level, and thrive.
1. Challenges to Developing a Data Protection Strategy for Kubernetes
The emergence of new deployment and production patterns for modern applications like those running on Kubernetes are incompatible with older data protection approaches. Find out why.
2. Data Protection Requirements for Kubernetes
Implementing data protection for Kubernetes is complex due to the distributed nature of Kubernetes clusters. Discover the requirements your strategy should satisfy to guarantee success.
3. A Framework for Your Data Protection Strategy
A Kubernetes cluster is a complex entity that can span multiple nodes located in different cloud regions or datacenters. Learn the key considerations for developing your data protection strategy.