Veeam Kasten Backup for Kubernetes

Automatic Application Discovery

Kasten is natively integrated into Kubernetes to automatically discover all the application components running on your cluster and treating the application as the unit of atomicity. The application includes the state that spans across storage volumes, databases (NoSQL/Relational) as well as configuration data included in Kubernetes objects such as configmaps and secrets.

Integrated Security

We know security is top of mind for you and it definitely is for us! Kasten supports Kubernetes ransomware protection along with user authentication mechanisms such as OIDC and Role Based Access Control (RBAC). Seamless integration with authenticating using the OpenShift OAuth proxy. Backed up data is encrypted both at rest and in motion with the ability to bring your own encryption keys. Kasten runs on your cluster and you can assign fine-tuned access control permissions to Kasten itself.

Rich Backup Policies

Policies are used to automate your data management workflows. To achieve this, policies combine actions you want to take (e.g., snapshot), a frequency or schedule for how often you want to take that action, and label-based selection criteria for the resources you want to manage. By associating applications with policies, you can achieve a hands-off approach to scaling the operational workflow for your backup and application mobility needs.

Granular Restores

Kasten allows you to restore the application components you want and where you want them. An application can be cloned into the same or into a new namespace. You can also decide to restore only an application subset such as the data volume. The flexible approach makes restoring simple and powerful by also allowing you to select the appropriate point of time copy of the application.

Application Mobility

Kasten provides the ability to move an application across namespaces, clusters, accounts, regions, and clouds. This enables a variety of use cases including Disaster Recovery (DR), Test/Dev with realistic data sets, and performance testing in isolated environments.