The Recovery Time Objective (RTO) declared in corporate Disaster Recovery (DR) plans often differs from the actual time required to restore IT systems during an incident. Salazar measures this gap by automating the continuous analysis of backup data and calculating an operationally reliable recovery time estimate, eliminating the need for manual checks conducted on spreadsheets.
The Limitation of Static Disaster Recovery Plans
RTO indicates the maximum tolerable downtime an organization can sustain before system disruption causes critical business impacts. In operational practice, this value is agreed upon at a contractual or organizational level (SLA), but it is rarely verified on a continuous basis.
Traditional Disaster Recovery testing sessions have structural limitations:
- Operational impact: They require dedicated maintenance windows and failover simulations that can disrupt regular business operations.
- Low frequency: Due to their complexity, field tests are typically conducted only once or twice a year.
- Information decay: IT asset inventories and their technological dependencies are usually tracked on Excel spreadsheets, which quickly become outdated as the infrastructure evolves.
As a result, organizations risk relying on theoretical RTOs that fail to account for data growth, recent architectural changes, or the actual operational capacity of recovery teams.
Continuous Validation Through Metadata Analysis
Salazar changes the approach to Disaster Recovery validation by replacing manual checks with automated, continuous technical analysis.
The platform integrates via REST APIs with enterprise Data Protection systems (such as Veritas NetBackup or Commvault) and IT Service Management platforms (CMDB/ITSM). The architecture does not require agents to be installed on individual virtual machines or production endpoints.
The system reads and processes metadata generated by routine infrastructure operations:
- Asset mapping: Correlates individual IT assets (servers, Oracle or MSSQL databases, virtual machines) to their respective business services and process owners.
- Performance metrics: Analyzes historical backup logs, actual execution times, and transferred data volumes.
- Zero production impact: Alignment verification occurs during every backup cycle without generating additional load on the network or operating systems.
The Breakdown of Operational RTO
To provide a realistic estimate without exposing complex formulas or rigid mathematical models, Salazar calculates estimated recovery time by integrating two core dimensions:
- Data Restore Time
This is the purely technical component. It is calculated from real transfer data recorded in backup catalogs for individual workloads. The system accounts for effective read and write speeds, identifying the slowest or most critical asset along the service recovery chain.
- Service Recovery Time
This represents the organizational and application component—the time required to make the system fully functional for users after data has been restored. The calculation begins with a baseline time proportional to architectural complexity and is weighted by specific risk factors:
- DR Plan status: Presence of formalized, up-to-date documentation.
- Testing history: Recency of the last field test conducted.
- Team size: Number of technical resources dedicated to emergency procedures.
- Infrastructure dependencies: Presence of external components or interconnected services.
The platform continuously benchmarks three indicator levels: the target RTO agreed upon in service contracts, the estimated RTO updated continuously by Salazar, and the actual RTO timed during real-world tests.
Supporting Governance and Regulatory Compliance
Automating tracking directly affects compliance management and reduces audit preparation time. Instead of spending weeks manually preparing Excel reports for autumn testing windows or regulatory inspections, the platform automatically generates compliance dashboards and reports.
The collected data provides key insights for IT management and security officers:
- Identification of deviations: Immediate visibility into services where estimated recovery times exceed business tolerance limits (RTO breach).
- Detection of unmapped assets: Identification of virtual machines or databases linked to critical processes that lack adequate backup coverage.
- Audit evidence: Structured reporting designed to meet requirements set by security management standards and European directives, such as ISO 27001, DORA (Digital Operational Resilience Act), and NIS2.
- Impact analysis: Business and financial risk estimation associated with services exhibiting recovery time vulnerabilities.
Implications for Disaster Recovery Management
Adopting automated metadata-driven validation changes how IT departments handle business continuity planning. Having updated indicators for every backup cycle reduces the uncertainty associated with theoretical RTOs, shifting periodic testing from a manual data collection exercise to continuous resilience governance.