Why recovery sequencing is becoming an important part of IT disaster recovery planning
IT disaster recovery programs provide organizations with critical information about what they need to recover, in what order, and how quickly. Application impact analyses (AIAs) identify critical processes and resources, recovery time objectives (RTOs) establish expectations for restoration, and recovery plans document the procedures teams need to follow.
When an outage affects multiple applications and services, however, teams must also determine how those individual recovery requirements fit together. An application with a short RTO may depend on other technology that needs to be restored first, while systems with similar recovery requirements may support services with different operational or financial impacts.
As technology environments become more interconnected, recovery sequencing can help organizations bring these priorities and dependencies together and determine an appropriate recovery order for the circumstances at hand.
Understanding Recovery Priorities
Most IT disaster recovery programs already collect a significant amount of information about recovery requirements. RTOs provide time-based objectives, business impact analyses help establish business importance, and application criticality assessments provide another way to understand where technology supports important products, services, and processes.
Each measure contributes to the overall picture, but no single measure necessarily determines recovery order.
For example, an application supporting a critical business service may appear to be an obvious recovery priority. If that application relies on identity services, databases, middleware, infrastructure, or other applications, however, some of those supporting technologies may need to be restored first.
This creates a need to consider several factors together:
- Recovery objectives: Which systems have the most time-sensitive recovery requirements?
- Technical dependencies: Which applications, infrastructure, and services need to be available before others can function?
- Business services: Which customer-facing or internal services depend on the affected technology?
- Business impact: Where could prolonged downtime create the greatest financial or operational consequences?
- Scope of disruption: Which systems and dependencies are actually affected by this particular event?
The relative importance of these factors may also vary depending on the circumstances. RTO adherence may be the primary consideration in one event, while revenue impact or the criticality of a particular service may carry more weight in another.
As the number of affected systems increases, evaluating these factors manually becomes more difficult. A predefined priority list can provide useful guidance, but it may not fully account for the relationships among systems or the specific scope of an event.
Keeping Recovery Plans Aligned with Change
Another challenge is that recovery plans reflect the information available when they are created or updated, while the technology environment continues to change.
Applications are introduced, modified, and retired. Infrastructure changes. New integrations create dependencies between systems. Vendors change, and business services develop over time. As a result, the relationships that influence recovery may look different from one planning cycle to the next.
Regular maintenance and testing help organizations keep plans current, but the nature of a disruption can create additional complexity. A predefined recovery sequence may work well for the scenario it was designed to address, while an actual event could affect a different combination of systems and dependencies.
Consider the difference between two scenarios.
An isolated application failure may allow a team to follow the application's recovery plan with relatively few complications. A broader technology disruption could take the same application offline alongside its database, authentication services, infrastructure, and other connected systems.
The recovery procedure for the application has not necessarily changed. Its place in the overall recovery sequence may have.
This is where recovery sequencing can become particularly valuable. Rather than viewing each application recovery plan independently, organizations can consider how their recovery requirements and dependencies interact across the affected environment.
Adding Optimization to Recovery Planning
Recovery optimization builds on the information organizations already maintain as part of their resilience and IT disaster recovery programs.
By combining recovery requirements, dependencies, and business priorities, organizations can determine a recovery sequence based on the systems affected by a particular scenario. When the underlying data or scope of the disruption changes, the sequence can be recalculated to reflect those changes.
This approach complements established recovery planning practices. Recovery plans continue to provide the procedures and information teams need to restore technology. Optimization provides an additional way to determine how those plans should be prioritized and coordinated when several systems require recovery.
It can also allow organizations to evaluate recovery from different perspectives. Depending on the situation, a team may want to optimize a sequence around:
- RTO adherence
- Revenue impact
- Service criticality
- Process criticality
Connecting these considerations with dependency data can provide a more complete view of recovery than evaluating each application independently.
It also gives teams an opportunity to compare potential recovery strategies before a disruption occurs. Rather than assuming there is one universal recovery order, they can examine how that order changes as the affected technology or business objective changes.
Supporting Explainable Recovery Decisions
Recovery decisions often involve multiple stakeholders.
Technology teams need to understand which systems and dependencies must be available before other applications can be restored. Business leaders may need information about when critical services are expected to return. Resilience teams may later need to review the decisions made during an exercise or disruption.
For these reasons, the reasoning behind a recovery sequence is important.
Fusion Risk Management developed Recovery Optimization to help organizations use their existing operational data, dependencies, and business priorities to compute recovery order. Organizations can optimize recovery sequences using recovery plan data, including inputs from CMDB/ITSM platforms.
This enables the most efficient and effective order for system recoveries based on RTO adherence, revenue impact, service criticality, and process criticality.
The sequencing calculation does not rely on artificial intelligence. The resulting sequence is designed to be explainable, reproducible, and auditable, allowing teams to understand the information and relationships that contributed to the result.
This gives teams a clearer basis for several important conversations:
- Why is one application being recovered before another?
- Which dependencies are influencing the sequence?
- Which business priority is the sequence designed to support?
- How would the order change under a different recovery objective?
- Can the organization explain the reasoning after an exercise or actual event?
That transparency can be useful during recovery and afterward. Teams can review why systems were prioritized in a particular order, evaluate whether the sequence supported the intended business objectives, and use what they learn to strengthen future planning and testing.
Expanding the Value of Recovery Exercises
Recovery optimization can also provide organizations with another way to approach testing.
Many exercises appropriately focus on whether applications can be recovered within their established objectives and whether documented procedures work as expected. Organizations can build on those exercises by considering how recovery decisions change when multiple systems are disrupted at the same time.
For example, teams can use exercises to explore scenarios such as:
- A critical business service becoming unavailable along with several supporting applications
- An upstream dependency remaining unavailable longer than expected
- Multiple applications with similar RTOs competing for recovery resources
- A recovery sequence optimized for RTO adherence compared with one prioritizing revenue impact
- Changes in application or service dependencies since the previous exercise
These scenarios can help identify conflicts that may be difficult to see when applications are evaluated individually. Each recovery plan may be viable on its own, while the combined recovery effort may introduce competing priorities or dependency constraints.
The ability to recalculate recovery sequences as organizational data changes also allows testing to reflect a broader range of scenarios. Rather than validating a single predetermined sequence, teams can examine how recovery priorities respond to different conditions.
Questions to Bring to Your Next Exercise
Organizations looking to assess their current approach can start with a few practical questions:
- Do we know which dependencies have to recover before our most critical applications can function?
- Can we determine recovery order for the specific systems affected by a scenario, rather than relying on a universal priority list?
- Can we explain why one application should be recovered before another?
- How would our recovery sequence change if our primary objective changed?
- When dependencies or business priorities change, does our recovery strategy change with them?
These questions can help teams assess whether their current recovery planning process provides enough information to support sequencing decisions under more complex conditions.
Connecting Plans to Recovery Decisions
Business impact analysis, RTOs, dependency mapping, recovery plans, and testing remain fundamental components of IT disaster recovery. Recovery optimization builds on that foundation by helping organizations apply the information they have collected to the sequencing decisions that arise when multiple systems are affected.
This becomes increasingly useful as organizations manage larger and more interconnected technology environments. The recovery order that works for one disruption may not be appropriate for another, particularly when the affected applications, dependencies, and business priorities differ.
Fusion Recovery Optimization helps organizations compute recovery sequences using current organizational data and recalculate those sequences as the underlying information changes. Teams can evaluate recovery according to objectives such as RTO adherence, revenue impact, service criticality, and process criticality while maintaining an explainable and auditable basis for the resulting sequence.
Recovery planning provides teams with the information and procedures needed to restore technology. Adding recovery optimization can help organizations use that foundation to make more informed sequencing decisions, both during exercises and when those plans need to be put into practice.
