How to Design a Disaster Recovery Plan for Cloud-Native Apps

Disaster recovery is about more than catastrophes. Deleting a namespace by accident, losing storage or shipping a corrupted update can hurt operations as much as a natural disaster does.

Cloud-native platforms such as Kubernetes and OpenStack add complexity. An application is a set of connected pieces: persistent volumes, operators, networking rules and metadata. Restoring the raw storage without rebuilding the application state is not a recovery.

Organizations have to assume that:

Cloud providers can have outages

Hardware will fail eventually

Ransomware can make systems inaccessible

Software defects can corrupt data

Natural disasters can take infrastructure offline

A current disaster recovery strategy can restore whole applications into new clusters or another cloud, so operations continue whatever fails.

Step 1: Identify critical workloads

Sort applications by business impact and set a Recovery Time Objective and Recovery Point Objective for each.

Step 2: Deploy application-aware backup

Capture namespaces, operators, persistent volumes and configuration data together so the whole application can be rebuilt.

Step 3: Establish alternate recovery targets

Prepare secondary clusters or another cloud environment that can take the restored workloads.

Step 4: Automate recovery workflows

Set up policy-driven restore orchestration so there is little manual work during an incident.

Step 5: Enable self-service recovery

Let authorized users start their own restores for isolated incidents such as an accidental deletion, so the operations team is not a bottleneck.

Step 6: Test across multiple failure scenarios

Simulate hardware failure, a cloud outage, ransomware and corruption to check that the recovery procedures work.

Counting on the cloud provider to stay up

No way to recover across clouds or regions

Never testing a full application rebuild

Manual recovery steps that slow the restore down

Metadata that is only partly captured

Disaster recovery has to rebuild the whole workload environment, and restoring storage volumes is only part of that.

Is cloud high availability enough for disaster recovery?

No. High availability handles local failures and does nothing about a region-wide outage or corrupted data.

Can applications be restored to a different cloud provider?

Yes. With the right design, application-aware backups can be restored into other clusters or cloud environments.

What disasters should a recovery plan cover?

Human error, hardware failure, cloud outages, malicious attacks, software corruption and natural disasters.

How often should disaster recovery be tested?

At least quarterly for production systems, with the results written down.

What is the most common DR planning mistake?

Assuming a backup means you can recover. Without tested restore workflows and somewhere to restore to, backups on their own are not enough.