Cloud–native backup and restore capabilities for AWS, Microsoft Azure and Google Cloud.
Quick and easy create Kubernetes cluster backup according to your backup policy, and protect your data, cloud native applications that are built on containers.
Kubernetes is the de facto standard for container orchestration, and it’s utilized by both cloud native and born-in-the-cloud startups. Kubernetes was in production on-premises, in the cloud, and even at the edge in 2021 for a wide range of applications, including many for which it wasn’t designed.
Kubernetes was never designed for stateful applications, and it lacks data protection mechanisms by default. Many businesses, on the other hand, are building and running stateful apps on Kubernetes, showing that there is a functional gap between what Kubernetes offers and what the (corporate) market wants.
Existing data protection methods, which were largely designed for older technologies like virtual machines, do not work well with the container paradigm. Vendors are changing existing solutions or developing new ones from the ground up that are more aligned with cloud-native and container paradigms.
Other data management elements, such as data security, disaster recovery, or heterogeneous data movement, are included in many of these data protection solutions. In the cloud-native space, there is some overlap between data storage, data security, and data management systems, with each offering some complementary functions.
In the recent year, there has been a lot of focus on ransomware and other security aspects, with suppliers adopting preventative measures against various types of attacks, such as ransomware and misuse of misconfigured cloud resources.
Multi-cloud support is an important criterion since it allows enterprises to support a variety of cluster types, including managed cloud services such as EKS, AKS, and GKE, as well as distributions and platforms such as Rancher, OpenShift, and Tanzu. This support not only ensures that the data protection solution is future-proofed against ever-changing requirements and use cases, but it also ensures that teams can choose the best technology for their use cases rather than being bound by the data protection solution’s limits. Multi-cluster support also entails the ability to manage a fleet of clusters as a single entity, which is typically performed through policy-based management and the application of policies to components such as labels, namespaces, and applications.