We design and implement disaster recovery and business continuity architectures that keep critical systems running through outages, cyber incidents, and infrastructure failures — with predictable recovery times and tested failover readiness.
Resilience is not a single tool or backup job — it is an engineered capability.
Our disaster recovery and business continuity services cover architecture, automation, testing, and operational readiness across cloud, hybrid, and on-prem environments.
We focus on aligning recovery design with real business impact — identifying critical systems, defining acceptable downtime, and engineering recovery paths that work under pressure. This ensures recovery strategies are not theoretical documents, but executable plans that restore operations within defined RTO and RPO thresholds.
Each capability below is designed to work independently — and together as a complete recovery system.
Our engagement focuses on designing, implementing, and validating disaster recovery and business continuity capabilities at the infrastructure, platform, and application layers.
Each phase is execution-driven and produces measurable recovery artifacts aligned to defined RTO, RPO, and availability targets.
We approach recovery as an operational system rather than a documentation exercise. This includes identifying failure domains, defining recovery blast radius, implementing automated failover and restoration workflows, and validating service dependencies through controlled failure testing. Recovery procedures are integrated with monitoring, alerting, and runbooks to ensure predictable execution, reduced recovery time variance, and consistent service restoration under real incident conditions.
Our engagement typically covers:
Identification of realistic failure scenarios across infrastructure, platforms, databases, and applications, including regional outages, data corruption, and dependency failures.
Comprehensive analysis of infrastructure, platforms, databases, and applications to map service dependencies, data flows, and failure domains, establishing clear recovery priorities and exposure points.
Definition of recovery architectures covering replication strategies, recovery tiers, failover mechanisms, and data protection models aligned to workload criticality and availability requirements.
Deployment of backup, replication, and failover capabilities across cloud, hybrid, and on-prem environments, with automation embedded to eliminate manual recovery steps and reduce execution variance.
Execution of controlled failover tests and recovery simulations to validate restoration procedures, data consistency, and application startup sequencing under failure conditions.
Continuous refinement of recovery workflows, monitoring integrations, alerting, and runbooks to ensure repeatable execution and operational readiness during real incidents.
Our core service offerings are designed to deliver deployable, testable, and operable disaster recovery and business continuity capabilities across infrastructure, platforms, and applications.
Each service can be engaged independently or combined as part of a broader resilience program, depending on platform maturity, workload criticality, and recovery objectives.
The focus is on translating recovery requirements into concrete implementations — architecture designs, automated workflows, validated recovery procedures, and operational runbooks. Services are delivered with an emphasis on system dependencies, failure domains, data consistency, and recovery sequencing, ensuring recovery actions are predictable, repeatable, and executable under real outage conditions.
End-to-end design of disaster recovery architectures aligned to business impact, system criticality, and failure domain analysis.
Key activities include:
• Recovery tier definition and workload prioritization
• System and data dependency mapping
• Replication strategy selection and placement
• Failover design across cloud, hybrid, and on-prem environments
Implementation of recovery capabilities across public cloud, private cloud, and on-prem platforms with controlled failover execution.
Key activities include:
• Cross-region and cross-zone replication
• Infrastructure and platform recovery configuration
• Storage and database replication setup
• Controlled and repeatable failover execution
Design and deployment of secure data protection strategies to prevent data loss and support reliable restoration.
Key activities include:
• Immutable and ransomware-resilient backups
• Offsite and cross-platform replication
• Restore validation and integrity checks
• Recovery testing for critical datasets
Recovery design and validation at the application and database layers to ensure consistent and ordered service restoration.
Key activities include:
• Application startup sequencing and dependency coordination
• Database recovery and data consistency validation
• Stateful service restoration workflows
• Cross-service recovery dependency handling
Automation of failover and recovery workflows to reduce manual intervention and recovery time variability.
Key activities include:
• Infrastructure and platform orchestration
• Automated recovery workflows and triggers
• Runbook automation for repeatable execution
• Integration with existing CI/CD and platform tooling
Execution of planned disaster recovery tests and controlled failure simulations under real operating conditions.
Key activities include:
• Failover and recovery scenario testing
• Validation of RTO and RPO targets
• Data integrity and consistency checks
• Application readiness verification
Development and refinement of operational recovery procedures for day-to-day and incident-driven execution.
Key activities include:
• Recovery runbooks and escalation workflows
• Monitoring and alerting integration
• Incident handover procedures for operations teams
• Knowledge transfer to SRE and infrastructure teams
Preparation of recovery documentation and evidence to support regulatory, audit, and internal governance requirements.
Key activities include:
• Recovery architecture documentation
• Test reports and validation evidence
• Recovery metrics and control mapping
• Support for internal and external audits
Whether you’re addressing emerging risks, preparing for audits, or strengthening security governance, we help you assess where you stand and define the controls that matter. Engage with us to bring structure, confidence, and defensibility to your security and compliance decisions.
Recovery engagements succeed when expectations are explicit and outcomes are measurable.
This engagement is structured around clearly defined deliverables, execution checkpoints, and validation criteria to ensure recovery capabilities perform as designed under real failure conditions.
Each phase produces tangible technical artifacts — architectures, configurations, automation, and test evidence — enabling predictable recovery execution, reduced operational risk, and confidence across engineering and operations teams.
Implementation-ready outputs that ensure disaster recovery and business continuity capabilities are executable, testable, and operable under real failure conditions — not just documented.
What this includes:
A structured, technically grounded engagement focused on clarity, collaboration, and predictable recovery outcomes.
What to expect:
Backups protect data. Disaster recovery ensures systems, platforms, and applications can be restored and operated within defined RTO and RPO targets. This engagement covers architecture, automation, testing, and operational execution — not just data copies.
Yes. Cloud platforms reduce infrastructure risk but do not eliminate failures caused by misconfiguration, regional outages, data corruption, or application-level dependencies. Cloud-native environments still require defined recovery architectures and tested failover.
RTO and RPO are defined through workload criticality analysis, dependency mapping, and business impact assessment. Targets are validated against technical feasibility, data consistency requirements, and operational execution capability.
At minimum, recovery should be tested annually and after major infrastructure, application, or data architecture changes. Critical systems often require more frequent testing or continuous validation through automation.
Yes. Database recovery strategies, data consistency checks, and restore validation are core components, especially for stateful and transaction-heavy systems.
Automation is applied where it reduces recovery time variance and operational risk. This typically includes failover orchestration, recovery sequencing, and runbook automation, while preserving manual controls where required.
Yes. Recovery architectures are designed to work across cloud, hybrid, and on-prem environments, accounting for platform limitations, legacy systems, and operational constraints.
Gaps between desired and achievable recovery targets are explicitly identified. Trade-offs, risks, and remediation options are documented so decisions are informed and defensible.
Yes. Designs and recommendations are platform- and vendor-agnostic, aligned to existing tooling wherever possible to reduce operational friction and cost.
Yes. Deliverables include runbooks, automation, documentation, and knowledge transfer to ensure internal teams can execute, test, and maintain recovery without ongoing dependency.
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