Backup and DR

Red Hat

Audience
Public
Technology Integrations
Linux
Source Type
Documentation

Backup and disaster recovery planning are essential parts of Day 2 operations in any environment running stateful workloads. In OpenShift environments that support both virtual machines and containers, backup and DR must cover multiple object types: VM definitions, PVC-backed data, application objects, and storage policy dependencies.

This section focuses on operational readiness rather than product installation. The goal is to ensure that backups are trustworthy, failover workflows are rehearsed, and recovery outcomes are predictable.

PX Backup Integration

PX Backup provides a platform-aware method for protecting OpenShift applications and VMs. In a FlashArray and Portworx-backed environment, it should be treated as a core part of the operational recovery model rather than as an optional add-on.

This task is used to:

  • protect VMs and applications consistently

  • create restorable recovery points

  • support namespace, PVC, and VM recovery workflows

  • increase confidence in planned and unplanned recovery events

Protecting VMs and applications with PX Backup

Administrators should use PX Backup to define repeatable protection policies for the workloads that matter most. These policies should align to workload criticality, change rate, and recovery objectives.

At a minimum, operators should know:

  • which workloads are protected

  • how frequently backups run

  • where backup data is stored

  • which recovery targets are supported

  • who owns backup policy validation

ActiveCluster Failover Testing

ActiveCluster-backed workloads are designed for synchronous protection and zero RPO, but that design only has operational value if administrators periodically validate how failover actually behaves. Failover should be tested as a controlled Day 2 exercise, not discovered for the first time during an incident.

This task is used to:

  • validate synchronous replication behavior

  • confirm that the intended protection model works in practice

  • rehearse operator response during site or array disruption

  • identify procedural gaps before a real failure occurs

  • Validating synchronous replication failover behavior

Failover validation should confirm:

  • the correct workloads are using the intended ActiveCluster-backed storage class

  • backend replication is healthy before testing begins

  • operators understand the expected behavior of applications and VMs during failover

  • the post-failover state is recoverable and operational

A successful failover test should prove not only that storage remains available, but also that application and VM behavior is understood.

ActiveDR Validation

ActiveDR-backed workloads provide near-zero RPO recovery characteristics, but like any DR capability, the operational model must be validated regularly. Administrators should know how those workloads are expected to behave, how recovery is initiated, and what recovery state is considered successful.

This task is used to:

  • validate near-zero RPO recovery workflows

  • confirm that the intended workloads are protected correctly

  • rehearse operator response to DR activation

  • verify that recovery steps are documented and repeatable

Verifying near-zero RPO recovery workflows

Administrators should confirm:

  • the workload is using the intended ActiveDR-backed storage class

  • the replication and DR policy state are healthy

  • recovery workflow ownership is clear

  • the expected recovery sequence is documented

  • application owners understand what near-zero RPO means operationally

This validation should cover both storage behavior and workload behavior.