Compare hot, warm, cold, mobile and cloud DR sites against your RTO and RPO, model five-year TCO, and weigh it against the downtime cost it prevents.
This DR site cost analyzer compares five disaster recovery strategies — hot site, warm site, cold site, mobile site and cloud DRaaS — against your own recovery time and recovery point requirements, then models the five-year total cost of ownership of each and weighs it against the cost of the downtime it would prevent. Enter your revenue, IT dependency, number of critical systems and acceptable RTO and RPO, and the tool identifies the cheapest option that actually meets both thresholds, with break-even analysis and an exportable PDF. Everything is calculated in your browser; no business figures are transmitted or stored.
The purpose is to replace an argument with a number. DR budget conversations stall because one side is talking about the cost of the solution and the other about the cost of an outage, and nobody has put both on the same axis. This tool puts them there.
Recovery Time Objective (RTO) is how long the business can tolerate the service being down — the clock from outage to restored operation. Recovery Point Objective (RPO) is how much data the business can tolerate losing, measured backwards from the moment of failure. They are independent, and they drive different parts of the design: RTO is a function of standby infrastructure and process, RPO is a function of replication frequency.
A worked illustration. Nightly backups at 2am give you an RPO of up to 24 hours — a failure at 1am loses a full day of transactions — regardless of how quickly you can restore. Continuous replication gives an RPO measured in seconds but does nothing on its own for RTO if there is no standby environment to fail over to. Buying replication to fix a recovery-time problem, or standby hardware to fix a data-loss problem, is the most expensive category of DR mistake.
Both numbers must come from the business, not from IT. The correct question is not “how fast can we recover?” but “what does an hour of this being down cost, and at what point does the loss exceed what we would spend to prevent it?”
| Type | Typical RTO | Typical RPO | Equipment | Setup cost | Running cost |
|---|---|---|---|---|---|
| Hot site | Minutes to 1 hour | Near zero | Full duplicate | $$$$ | $$$$ |
| Warm site | 1–24 hours | Hours | Partial | $$$ | $$$ |
| Cold site | 24–72 hours | 24 hours or more | Facility only | $$ | $ |
| Mobile site | 24–48 hours | Hours | Containerised | $$ | $$ when active |
| Cloud (DRaaS) | Minutes to 4 hours | Minutes | Virtual | $ | $$ |
Hot site. A fully provisioned duplicate of production, running, patched and continuously replicated. Failover is near-instant. It is also the most expensive option in every dimension — you are buying and maintaining two of everything, forever — and it earns its cost only where an hour of downtime is genuinely catastrophic: payment processing, clinical systems, trading platforms, telecommunications.
Warm site. Space, connectivity and some hardware are in place, with data replicated periodically. Recovery means bringing systems up and restoring the most recent replica, which is a matter of hours rather than minutes. For most mid-market organisations this is the honest sweet spot.
Cold site. Floor space, power and network, and nothing else. Recovery means procuring or shipping equipment, building it, and restoring from backup — days, not hours. Cheap to hold, and viable only where the business can genuinely operate manually for several days.
Mobile site. A containerised or trailer-mounted facility that can be positioned where it is needed. Useful for geographically dispersed operations, field sites and regional disasters where the problem is that the building is unusable rather than that the systems failed.
Cloud DRaaS. Replication into a cloud provider with resources provisioned on failover rather than held idle. It has the lowest setup cost by a wide margin, achieves RTOs competitive with a warm or even a hot site, and shifts the spend from capital to operating expense. The trade-offs are ongoing subscription and egress costs, dependency on a provider you do not control, and a bandwidth requirement that has to be sized honestly.
The analyzer derives an hourly downtime cost from annual revenue and IT dependency, then multiplies it by each option’s average recovery time to get a cost per outage event, and models annual exposure at two events per year. That is the number that makes the business case legible.
A worked example. A company with $50 million in annual revenue and 60% IT dependency has roughly $30 million of revenue riding on its systems, which is about $3,400 per hour across 8,760 hours. A cold site with an average recovery time of 48 hours therefore carries roughly $164,000 of revenue exposure per event; a warm site averaging 12.5 hours carries about $43,000. If the warm site costs $120,000 more over five years, and each of two annual events avoids $121,000 of loss, the investment pays back well inside the first year.
Two honest caveats. The tool’s cost figures are industry-representative baselines scaled by your environment size, not vendor quotes — use them to compare options and set expectations, then get real pricing for the shortlisted approach. And revenue loss is only part of true downtime cost: idle staff, SLA credits, regulatory penalties, remediation overtime and reputational damage are all real and none appear in the revenue figure. The model is therefore conservative, which is the right direction for it to be wrong in.
A DR site is infrastructure, not a plan. It does not tell you who declares a disaster, how staff are contacted when the phone system is down, in what order systems are recovered, where the runbooks are kept when the file server is gone, or whether the failover has ever been tested end to end. Untested DR is not DR — the failure mode is discovering during a real event that the replica was silently broken for months. Whatever this tool recommends, budget for a documented plan, an annual test, and a written report on what the test found.
For the identity and access architecture that has to survive a failover, see the federated identity architect. For third-party dependency risk — which becomes acutely relevant when your DR provider is itself a supplier — see the supply chain risk assessor.
RTO is how long you can be down; RPO is how much data you can afford to lose. RTO is driven by standby infrastructure, RPO by replication frequency. They are set independently and both must be met.
A hot site is a running duplicate of production with continuous replication and near-instant failover. A warm site has facilities and partial equipment with periodic replication, and takes hours to bring online. The hot site typically costs several times more to build and run.
Almost always on setup cost, and usually on total cost for small and mid-sized environments, because you are not holding idle hardware. At very large scale, with heavy data egress or strict data-residency requirements, the economics can reverse. Model both rather than assuming.
They are representative baselines scaled to your environment, intended for comparing options and framing a budget conversation. Treat them as an order of magnitude and obtain vendor quotes before committing.
Work backwards from cost. Calculate what an hour of downtime costs across revenue, idle labour, contractual penalties and recovery effort, then find the point where the marginal cost of a faster recovery exceeds the loss it avoids. That crossover is your defensible RTO.
Yes, and treating them uniformly is expensive. Tier your systems: the order-taking platform may need an hour, the internal wiki may be fine at a week. Protect each tier at its own level rather than buying hot-site protection for everything.
Backup is a component of DR, not DR itself. Backup addresses RPO; DR addresses RTO as well, which means somewhere to restore to, a documented process, and people who have practised it. A backup with no tested restore path is a recovery plan with a hole in the middle.
At least annually, and after any significant infrastructure change. A tabletop exercise is the minimum; an actual failover test is what finds the problems. Regulated industries frequently mandate more frequent testing, and the recovery objectives you are quoting are unverified claims until a test confirms them.
Scenarios where the facility is the casualty rather than the equipment — regional weather events, building damage, field operations. A containerised site can be positioned near the affected location, which fixed sites cannot.
No. Every calculation runs in your browser and the PDF is generated locally. Revenue figures and requirements are never transmitted or stored.
A disaster recovery (DR) site is a secondary location — physical or cloud-based — where an organization can restore critical IT systems and data after a disruptive event such as a natural disaster, cyberattack, hardware failure, or power outage. DR site cost analysis evaluates the total cost of maintaining disaster recovery capabilities against the potential financial impact of downtime.
The cost of a DR site must be weighed against the cost of not having one. According to industry research, the average cost of IT downtime ranges from $5,600 to $9,000 per minute for enterprise organizations. This tool helps you calculate DR site costs and compare them against potential downtime losses to make informed investment decisions.
| Type | Description | Recovery Time | Relative Cost | Best For |
|---|---|---|---|---|
| Cold Site | Facility with power and networking but no pre-installed hardware | Days to weeks | Lowest (10-20% of hot site) | Non-critical systems, budget-constrained |
| Warm Site | Pre-configured hardware and network, data synchronized periodically | Hours to 1 day | Moderate (40-60% of hot site) | Important systems with moderate RTO |
| Hot Site | Fully operational mirror of production, real-time data replication | Minutes to hours | Highest | Mission-critical systems, regulatory requirements |
| Cloud DR | Cloud-based infrastructure provisioned on-demand or always-on | Minutes to hours | Variable (pay-per-use) | Scalable workloads, hybrid environments |
| Component | Cold Site | Warm Site | Hot Site | Cloud DR |
|---|---|---|---|---|
| Facility lease | Low | Moderate | High | None |
| Hardware | None (procured during disaster) | Partial | Full mirror | Pay-per-use |
| Network | Basic | Dedicated links | Redundant links | VPN/Direct Connect |
| Data replication | Manual backups | Periodic sync | Real-time replication | Continuous |
| Staffing | On-call | Part-time | Full-time or automated | Minimal |
| Testing | Annual | Quarterly | Monthly | Continuous |
Hot sites are fully operational duplicates with real-time data replication (RTO: minutes). Warm sites have hardware and connectivity but need current data loaded (RTO: hours to days). Cold sites have basic infrastructure like power and networking but no pre-installed equipment (RTO: days to weeks). Cost decreases with longer recovery times.
Recovery Time Objective (RTO) is the maximum acceptable time to restore operations after a disaster. Recovery Point Objective (RPO) is the maximum acceptable data loss measured in time. A 4-hour RPO means you can lose at most 4 hours of data. These metrics drive DR site selection and backup strategies.
Downtime costs include: lost revenue (hourly revenue x downtime hours), lost productivity (employee cost x downtime hours x affected staff), reputation damage (estimated customer loss), and regulatory penalties. This tool models all components and projects costs against DR investment over 5 years.
A hot site is typically justified when hourly downtime costs exceed $50,000-$100,000 or when regulatory requirements mandate near-zero RTO. The breakeven analysis in this tool compares the 5-year TCO of each site type against projected downtime losses to identify the optimal investment level.
Cloud DR (DRaaS) offers flexible, pay-as-you-go disaster recovery with RTOs comparable to warm or hot sites. Benefits include no capital expenditure, geographic flexibility, and automated failover. Drawbacks include ongoing subscription costs, bandwidth dependencies, and potential vendor lock-in. This tool includes cloud as a fifth site type for comparison.
Calculate optimal RTO/RPO targets, analyze downtime costs, and compare backup strategies with cost-benefit analysis
Conduct Business Impact Analysis to identify critical functions and recovery priorities
Calculate SLA uptime percentages and error budgets, and convert between nines of availability and allowed downtime.