Disaster Recovery Solutions

Recover critical services before disruption becomes crisis.

Design, implement and test application-level recovery across data centre, colocation and cloud with clear RPO, RTO, failover sequencing and operational ownership.

Business impact and recovery planning Replication and failover orchestration Testing, runbooks and managed readiness
Recovery must restore the complete business service

Disaster recovery is more than copying data to another location.

Applications depend on databases, identity, network services, security controls, integrations, storage and people. Recovering only infrastructure can still leave the business unable to operate.

Data Confiance creates application-level recovery plans that connect business impact, dependencies, replication, alternate infrastructure, runbooks, testing and operational governance into one executable framework.

Business impact and DR readiness assessment Application dependency and recovery mapping Replication and alternate-site architecture Cloud DR and DR as a Service Failover, failback and recovery orchestration Testing, evidence and managed readiness
Discuss Your DR Strategy
Disaster recovery infrastructure and resilient data centre connectivity
Recover services—not isolated components Applications, data, network, identity, security and operations are restored in the right sequence.
Cloud and secondary-site disaster recovery
RPO + RTO Recovery objectives aligned to business impact, dependencies and practical operating cost.
Business impact analysis and application recovery planning
Start with business impact
Prioritise what must return first

Define recovery tiers before selecting technology.

Not every service requires the same recovery speed or investment. We identify critical business processes, supporting applications, data dependencies and acceptable downtime before defining the recovery architecture.

Map critical business services and process owners. Define RPO, RTO and minimum service levels. Identify application, data and infrastructure dependencies. Create recovery tiers and phased restoration priorities.
Explore the DR capability framework
Cloud disaster recovery and failover orchestration
Make recovery executable
Automate where consistency matters

Turn architecture into repeatable failover and failback procedures.

Recovery fails when sequencing, access, configuration, validation and ownership are unclear. We combine orchestration with detailed runbooks so technical teams and business users know exactly what happens next.

Sequence infrastructure, databases and applications correctly. Automate repeatable failover and validation tasks. Document DNS, identity, security and network changes. Plan controlled failback after the primary site is stable.
See our delivery approach
One accountable partner from impact analysis to tested recovery. Integrated architecture, replication, orchestration, runbooks, testing and managed readiness.
16+Years of enterprise technology delivery
500+Client relationships supported
6Core disaster recovery domains
24×7Monitoring and support options
Capabilities

Build recovery around complete business services.

Engage Data Confiance for an end-to-end DR programme or a focused requirement across impact analysis, recovery architecture, replication, DRaaS, orchestration, testing or managed readiness.

Disaster recovery readiness and business impact assessment
Prioritise recovery through business impact

Disaster recovery readiness and business impact assessment

Translate business processes, application dependencies, downtime tolerance and recovery risks into clear DR priorities and a phased roadmap.

Business service mapping Application criticality analysis RPO and RTO definition Dependency assessment Existing DR gap analysis Prioritised recovery roadmap
Discuss This Capability
Delivery framework

From business impact to proven recovery.

Our methodology connects priorities, dependencies, architecture, replication, orchestration, testing and governance into one executable continuity programme.

Start With a DR Readiness Assessment
01 / ASSESS

Understand critical services and recovery expectations

Document business processes, applications, data, infrastructure, dependencies, RPO, RTO, compliance, risks and current recovery capability.

02 / ARCHITECT

Design alternate infrastructure and recovery tiers

Define target sites, cloud services, replication, compute, storage, network, identity, security, capacity and recovery sequencing.

03 / IMPLEMENT

Configure replication, connectivity and orchestration

Deploy protection, recovery infrastructure, network paths, automation, monitoring, access controls, runbooks and documentation.

04 / TEST

Validate failover, service operation and failback

Execute technical and application-level recovery exercises, verify RPO and RTO, document evidence and remediate gaps.

05 / GOVERN

Maintain readiness as applications and infrastructure change

Review runbooks, dependencies, capacity, test status, incidents, contacts, vendor support and continuity governance on a defined cadence.

Disaster recovery use cases

Different business services require different recovery models.

We adapt architecture, replication, recovery tiers, testing and governance to application criticality, data behaviour, operating model and location strategy.

Data centre to data centre disaster recovery

Data Centre to Data Centre DR

Secondary-site recovery with replication, resilient connectivity, recovery infrastructure, runbooks and scheduled exercises.

Cloud disaster recovery

Cloud Disaster Recovery

On-demand recovery infrastructure in cloud with replicated workloads, orchestration, security and controlled failover.

Colocation disaster recovery

Colocation-Based Recovery

Recovery environments hosted in colocation facilities with private connectivity, replicated data and managed operational support.

Application-level disaster recovery

Application-Level Recovery

Dependency mapping, service sequencing, database recovery, application validation and business-user acceptance.

Cyber incident recovery

Cyber Incident Recovery

Clean recovery, isolated environments, identity reset, validated data and controlled service restoration after compromise.

Managed disaster recovery readiness

Managed DR Readiness

Ongoing monitoring, runbook maintenance, test scheduling, evidence, reporting and vendor coordination.

Customer stories

See how tested recovery improves continuity confidence.

The examples below illustrate the challenge, scope and outcomes a detailed Data Confiance case study can present. Final published stories should use approved customer information and verified results.

Cloud disaster recovery service
Representative engagement · Cloud DR

Establishing cloud-based recovery without maintaining a full secondary site.

Workload replication, cloud networking, security, recovery templates, orchestration and scheduled validation.

Explore this use case
Cyber recovery exercise
Representative engagement · Cyber Recovery

Testing clean recovery after a simulated cyber incident.

Identity reset, isolated recovery, data validation, application sequencing, security checks and controlled user access.

Explore this use case
Resources & insights

Make better disaster recovery decisions.

Use practical assessments, checklists and planning guides to evaluate business impact, dependencies, architecture, testing and operational readiness.

Disaster recovery readiness guide
Readiness guide

Is your disaster recovery plan executable?

Assess business priorities, dependencies, RPO, RTO, alternate infrastructure, runbooks, testing and ownership.

Request the guide
Disaster recovery architecture checklist
Assessment checklist

Application-level DR architecture checklist.

Review replication, network, identity, security, capacity, dependencies, orchestration, monitoring and failback.

Request the checklist
Disaster recovery testing playbook
Testing playbook

Plan a controlled disaster recovery exercise.

Understand objectives, participants, communications, failover, validation, evidence, failback and remediation.

Request the playbook
Frequently asked questions

Questions before building or modernising disaster recovery.

Clear answers to common questions around RPO, RTO, recovery sites, replication, DRaaS, testing, cyber recovery and managed readiness.

Ask a Disaster Recovery Specialist
It can include business impact, application inventory, dependencies, RPO, RTO, current replication, alternate infrastructure, connectivity, identity, security, runbooks, test evidence, operational ownership and a prioritised improvement roadmap.
Backup preserves recoverable copies of data. Disaster recovery restores complete applications and services, including compute, network, identity, security, dependencies, sequencing and business validation.
RPO defines acceptable data loss, while RTO defines acceptable service downtime. Both should be based on business impact, application dependency, recovery complexity and the cost of achieving faster recovery.
The right model depends on criticality, RPO, RTO, data volume, latency, connectivity, compliance, existing facilities, skills, operating model and economics. Hybrid recovery models are also common.
DRaaS uses provider-managed infrastructure, replication and orchestration to recover workloads without the organisation maintaining an equivalent secondary site. Scope and responsibility vary by service model.
Testing frequency should reflect service criticality and change. Critical applications often require regular technical tests and scheduled application-level exercises with business validation and documented evidence.
Cyber recovery may require isolated infrastructure, clean backups, identity reset, security validation, staged restoration and controlled user access rather than immediately failing over potentially compromised systems.
Managed services can include replication monitoring, capacity review, runbook updates, test scheduling, evidence, incident support, vendor coordination, governance reporting and continuous improvement.