Recovery Disaster 101 for Data/Cloud teams

After a major cloud incident, the question isn’t if it can happen again—it’s how you prevent and recover when it does. Two concepts to keep top of mind:

RPO (Recovery Point Objective): how much data loss you can tolerate.

RTO (Recovery Time Objective): how much downtime you can tolerate.

Common DR strategies (from simplest to fastest RTO):

Backup & Restore

Regular backups (snapshots/exports) and restore to a secondary environment.

Lowest cost; highest RTO/RPO.

Pilot Light

Minimal, critical core of the system always running (DBs/config, small app footprint).

Faster than pure backup because essentials are already up.

Warm Standby

The full system is running at reduced capacity.

Scales quickly to production load during a disaster.

Multi-Site / Hot Standby

Two (or more) active production environments.

Very low RTO/RPO, but higher cost/complexity.

Multi-Region / Multi-Cloud

Production-capable stacks in different regions (or clouds) to survive regional/provider failures.

Mental model (left→right = faster recovery, higher cost/complexity):

Backup & Restore → Pilot Light → Warm Standby → Multi-Site → Multi-Region/Multi-Cloud

Tip: Match your DR choice to business SLAs: if RTO/RPO targets are strict, you’ll likely need Warm Standby or Hot/Multi-Region—plus IaC, runbooks, and regular game days.

Just remember this graphic:

————————————————————————————→

B&R Pilot Light Warm standby MultiSite

←————————————————————————————→