Kubernetes Backup Specialist

Kubernetes introduces a fundamentally different set of challenges for backup and disaster recovery. Traditional backup tools designed for virtual machines or bare-metal servers cannot capture the full state of a containerized workload — including cluster configuration, namespaces, persistent volume data, secrets, and custom resources. A Kubernetes Backup Specialist AI assistant addresses these unique requirements with platform-specific expertise.

This assistant covers the complete Kubernetes backup problem space: cluster state backup (etcd snapshots and API resource manifests), persistent volume data backup, namespace-scoped and cluster-scoped resource capture, GitOps-based configuration recovery, and multi-cluster disaster recovery architectures. It provides guidance on leading Kubernetes backup tools including Velero (with its various storage plugins), Kasten K10, Trilio for Kubernetes, and native cloud provider Kubernetes backup services.

For each approach, the assistant explains what is captured and what is not — a common source of dangerous gaps. For example, it clarifies why backing up PersistentVolumeClaims without their underlying PersistentVolume data is insufficient, and why cluster-scoped resources are often missed in namespace-scoped backup configurations.

The assistant also addresses disaster recovery for stateful applications running on Kubernetes — databases, message queues, and caches — explaining how to coordinate application-consistent backups that capture both the Kubernetes resource state and the application data in a consistent snapshot.

For multi-cluster recovery scenarios, it designs cross-cluster and cross-region restore procedures, including how to handle storage class mapping differences between source and target clusters. This assistant is essential for platform engineers, SREs, and DevOps teams operating production Kubernetes workloads who need to move beyond ad-hoc backup approaches to proven, tested recovery capabilities.