Category: data protection

Showing 10 posts.

How to Do Storage Disaster Recovery with OpenShift

A technical guide to designing storage disaster recovery on OpenShift, including RPO/RTO targets, replication patterns, failover runbooks, and recovery validation.

Ransomware Recovery for Kubernetes Storage

Ransomware recovery in Kubernetes depends on immutable restore points, clean recovery workflows, and storage architecture that limits blast radius under pressure.

Backup and Restore for KubeVirt and VM Workloads on Kubernetes

Platform teams running containers and VMs together need unified backup and restore workflows that protect both workload types on one storage foundation. This post walks through the tooling, consistency challenges, and RPO/RTO design that make it work.

Kubernetes Group Snapshots for Multi-Volume Apps

Chris Engelbert

Mar 13th, 2026 | 9 min read

Kubernetes Group Snapshots for Multi-Volume Apps

Kubernetes group snapshots help platform teams recover complex multi-volume apps consistently, especially databases and enterprise services that span data, logs, and metadata volumes.

Point-in-Time Recovery for PostgreSQL on Kubernetes: What Actually Matters

Chris Engelbert

Mar 11th, 2026 | 8 min read

Point-in-Time Recovery for PostgreSQL on Kubernetes: What Actually Matters

PITR on Kubernetes is not just a snapshot feature. You need a base backup, reliable WAL archiving, and a restore path that works under pressure.

Application-Consistent Backups for PostgreSQL on Kubernetes

Rob Pankow

Mar 10th, 2026 | 10 min read

Application-Consistent Backups for PostgreSQL on Kubernetes

Reliable PostgreSQL recovery on Kubernetes requires more than storage snapshots. Teams need clear consistency strategy across snapshots, WAL, and restore workflows. This post covers the full model — from checkpoint semantics to PITR and operator integration.