Disaster recovery on OCI costs what it does because of one decision: how much standby capacity runs before a failover. A hot standby that mirrors production around the clock roughly doubles compute cost, while a pilot light keeps only data replicated and the minimum services warm, then scales up at failover. The cheapest defensible design starts from your real recovery time objective and recovery point objective, not from a reflex to duplicate everything. OCI helps here because egress is materially cheaper than the hyperscalers and flexible shapes let you size standby to the exact OCPU and memory the plan needs.
Below is how to choose the topology, where the spend actually goes, and a worked comparison you can take into your next resilience review.
What is your recovery target really?
Every dollar of disaster recovery spend traces back to two numbers. The recovery time objective is how long the business can be down. The recovery point objective is how much data it can afford to lose. A tier one payments system might need minutes; an internal reporting database might tolerate hours. Spending for a four minute recovery on a system that can absorb a four hour outage is the most common source of overspend on OCI and everywhere else.
Write the target per workload before you design anything. The topology then follows the target, which means a mixed estate where the critical tier runs warm standby and everything else runs pilot light or backup and restore. Uniform hot standby across the whole estate is almost always the wrong default.
Which standby topology fits the target?
Four patterns map cleanly onto the cost curve on OCI.
- Backup and restore. Data is backed up to Object Storage in a second region and infrastructure is rebuilt on demand. Lowest cost, recovery measured in hours. Right for workloads with a relaxed recovery time objective.
- Pilot light. Data replicates continuously and a minimal core stays provisioned, with the rest spun up at failover. Low standing cost, recovery in tens of minutes.
- Warm standby. A scaled down but running copy of the estate that you scale up at failover. Higher standing cost, recovery in minutes.
- Hot standby. A full duplicate running live. Fastest recovery, roughly double the compute cost. Reserve it for the few workloads that genuinely cannot lose minutes.
The lever is to stop one tier short of where instinct points. Many workloads tagged for hot standby run perfectly well on warm standby, and many warm standby workloads are really pilot light candidates once the recovery target is written down honestly.
Where does the OCI bill actually go?
Three lines dominate. Standby compute is the largest, which is why topology choice matters most. Cross region data replication is the second, and this is where OCI has a structural advantage: egress is materially cheaper than on the major hyperscalers, so keeping a replica current costs less here than the equivalent design elsewhere. Storage for replicated volumes and database backups is the third, and tiering older backups to lower cost Object Storage classes trims it.
OCI flexible compute shapes are the quiet win. Because you size an instance to an exact OCPU and memory count, a warm standby can run at a genuine fraction of production rather than at the nearest fixed instance size. For Oracle databases, Support Rewards can offset a portion of the support bill that the standby estate carries, and license included versus bring your own license changes the standby database math, which is covered in the article linked below.
A worked comparison
A European SaaS company ran hot standby across its entire OCI estate for a recovery target that, once written down, was minutes for the payments tier and hours for everything else. Moving the non critical tiers to pilot light, replicating data continuously while keeping only core services warm, removed most of the idle duplicate compute. Flexible shapes sized the remaining warm standby to the recovery plan rather than to production, and cheaper OCI egress kept replication affordable. The resilience guarantees held at the tested recovery targets while the standby bill fell well into the range a typical optimization program delivers. Figures are verified against billing data and anonymised.
The point is not a single number. It is that the savings came from matching design to target, not from weakening recovery. Tested failover still met the objective for every tier.
Frequently asked questions
What drives disaster recovery cost on OCI?
Is OCI cross region replication cheaper than the hyperscalers?
How do flexible compute shapes lower disaster recovery cost?
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