(The following article by Jason Grant, Director, Storage and Data Solutions for Veristor, first appeared in Spiceworks as an expert contribution. You can read it there at this link: Six Essentials for Protecting Cloud and Kubernetes Applications).
Data protection has always been paramount to ensuring business continuity and disaster recovery. In today’s era of ever-present ransomware threats and work from everywhere demands, it’s more mission-critical than ever.
New infrastructure models that leverage Kubernetes, containers and microservices have made data protection more complex, costly and challenging, even as companies have increased expectations for their Recovery Point Objective (RPO) and Recovery Time Objective (RTO) requirements. According to 451 Research, almost half (48%) of organizations have RTOs for mission-critical applications of less than an hour. Likewise, 57% of organizations have RPO requirements in the sub-hour timeframe. This can be difficult to achieve with the added layers of complexity in Kubernetes environments.
Kubernetes-enabled applications have become prevalent for their agility and ability to speed up software delivery in support of digital transformation initiatives. But in some cases, the result can be a bit of a science project, with many decision points and choices. This can greatly impact data protection, particularly when using traditional backup and recovery approaches, as the unpredictable and variable nature of Kubernetes containers can expose environments to data loss, downtime and even lost customer trust.
With Kubernetes, data expanse can be immense. Its agile nature encourages data produced by exponentially more sources and moved across diverse environments, including multi-cloud and edge networks. Backing up and managing this growing and distributed data efficiently is challenging but also crucial. Many Kubernetes-driven applications have become mission-critical to the business, and downtime isn’t an option.
We all know that downtime itself can come at a high cost. Uptime Institute reports that as many as 41% of outages cost over $1 million. But the ramifications of downtime also have a longer tail, putting companies at risk of data privacy and regulatory compliance requirements, creating critical security gaps and impacting an organization’s long-term brand reputation.
Organizations need to establish a fresh approach to data protection to protect cloud and Kubernetes applications without limiting their agility and business-critical benefits. Because Kubernetes workloads are ephemeral and can come and go, your data protection method needs to become more flexible and application-centric. Consider these six key requirements to increase the reliability of protecting Kubernetes infrastructure while lowering its cost.
Don’t let the cost and risk of storage and data protection outweigh the agility and rapid time to value of Kubernetes. By ensuring that you have a properly configured Kubernetes-aware data protection solution in place, you can lower your overall application availability costs and mitigate the risk of security gaps and data loss for the always-available application experience your business demands.
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