Why you Need Data Protection for Kubernetes Now that you have SUSE Rancher managing your Kubernetes applications, you need to consider how to further protect your application data. While Kubernetes is designed to provide a zero-downtime environment, service interruptions can happen, as well as human and programmatic errors and of course the dreaded ransomware and cyber-attacks.

Would your team benefit from a simple and easy to use Kubernetes backup service that does all the hard work for you to backup and protect your multi-cloud, multi-cluster, applications and cloud native databases? A cloud-based service so easy to use that even developers won’t mind managing backups?

As a developer of copy data management and data protection products for 20+ years, Catalogic Software has considerable experience in securing and protecting our customers’ data. For our new CloudCasa backup service for Kubernetes and cloud native databases, security is built into every step of the service using a modern DevSecOps approach. In addition, we are adding new capabilities to meet specific enterprise security and data custodian and governance requirements.

We discussed in previous blogs the need for data protection for Kubernetes and what’s different about CloudCasa. CloudCasa was designed to address the gap in data protection and disaster recovery that exists in all the leading Kubernetes distributions and managed cloud services. Further, another pain point that CloudCasa addresses is that your cloud-based applications may well be hybrid and multi-cloud applications that use both container-based storage and serverless databases.

It has been slightly more than a month since Catalogic released KubeDR. Since then, we have been busy adding features and making improvements to the project inspired by all the feedback we’ve received from the community. We are very excited to share all the changes that went into KubeDR since its release on January 15. In the first release, we only supported a disaster recovery scenario restore by using a separate Python utility.