Disaster Recovery Strategy
Current-state assessment, business impact mapping, risk prioritisation, recovery targets and phased implementation roadmap.
Keep critical systems available, recoverable and ready for disruption.
Logiciel helps enterprises design, build and operate disaster recovery and resilience engineering practices for cloud platforms, applications, data systems and production infrastructure. From cloud disaster recovery and AWS disaster recovery strategy to Azure disaster recovery, backup and disaster recovery, observability and managed operations, we help teams reduce downtime risk and recover with confidence.
Most enterprises do not struggle because they ignore availability. They struggle because disaster recovery plans are often outdated, untested or disconnected from real production architecture.
We build resilience foundations that connect architecture, automation, data protection and operational readiness.
A clear disaster recovery roadmap tied to business-critical systems.
Recovery time objective and recovery point objective mapping across workloads.
Cloud disaster recovery architecture across AWS, Azure and hybrid environments.
AWS disaster recovery strategy for applications, infrastructure, databases and data platforms.
Backup and disaster recovery workflows designed for reliability and auditability.
Observability, alerting and runbooks for incident detection and recovery execution.
A practical resilience engineering operating model your teams can maintain after launch.
We cover the full resilience lifecycle. Architecture, backup, recovery, testing and operations need to work together.
Current-state assessment, business impact mapping, risk prioritisation, recovery targets and phased implementation roadmap.
Cloud disaster recovery architecture for applications, infrastructure, data platforms, network connectivity and failover workflows.
AWS disaster recovery strategy for compute, storage, databases, networking, identity, automation, monitoring and recovery orchestration.
Azure disaster recovery design for workloads, backups, replication, failover, recovery validation and operational readiness.
Backup strategy, retention policies, restore validation, immutable backup patterns, recovery testing and audit-ready documentation.
Engineering practices for fault tolerance, graceful degradation, automated recovery, chaos testing, observability and service reliability.
Ongoing recovery testing, backup monitoring, incident readiness, runbook updates, risk reviews and continuous improvement.
Dedicated Resilience Engineering Squad
A standing team of cloud architects, SRE engineers, DevOps specialists and data platform engineers embedded into your resilience roadmap.
Disaster Recovery Advisory and Staff Augmentation
Senior disaster recovery consultants, cloud engineers and resilience specialists who strengthen your internal platform, security or operations teams.
Outcome-Based Disaster Recovery Engineering
Fixed-scope engagements with defined recovery outcomes, resilience milestones and success baselines agreed up front.
Detailed assessment of applications, infrastructure, cloud environments, data platforms, dependencies, backup maturity and recovery gaps.
RTO and RPO definition, workload tiering, dependency mapping, recovery priority planning and business continuity alignment.
AWS disaster recovery design, backup policies, replication patterns, failover automation, monitoring, recovery runbooks and validation testing.
Azure disaster recovery architecture, workload replication, backup configuration, failover workflows, restore testing and operational reporting.
Automated backup schedules, retention rules, recovery scripts, restore validation, policy checks and evidence workflows.
Recovery planning for AWS data platform workloads, AWS analytics services, warehouses, lakehouses, pipelines and reporting systems.
Ongoing monitoring, backup validation, recovery testing, incident response support, runbook maintenance and continuous improvement.
Patterns from our cloud, SRE and data platform teams that help enterprises move from static disaster recovery plans to tested resilience.
How we structure recovery ownership, workload tiers, backup reviews, recovery tests, incident response and continuous improvement across teams.
A practical approach to ranking recovery priorities by business impact, data sensitivity, dependency complexity, downtime tolerance and platform risk.
1. Disaster Recovery Diagnostic and Baseline
We assess applications, cloud platforms, backups, data systems, dependencies, incident workflows, recovery plans and business priorities.
2. Risk, Dependency and Recovery Mapping
We identify critical workloads, failure scenarios, recovery targets, data dependencies, infrastructure paths and business continuity needs.
3. Recovery Architecture and Automation
We build cloud disaster recovery architecture, backup workflows, failover patterns, recovery automation, monitoring and runbooks.
4. Testing, Observability and Incident Readiness
We harden resilience with restore tests, failover drills, dashboards, alerts, recovery evidence, escalation paths and post-incident workflows.
5. Resilience Operating Model
We hand over a repeatable disaster recovery practice, including ownership, KPIs, recovery cadences, runbooks and improvement cycles.
Ready to turn Disaster Recovery & Resilience Engineering into a reliable foundation for business continuity? Partner with Logiciel to strengthen cloud disaster recovery, validate backup and disaster recovery workflows and build resilience engineering practices your teams can trust.
Disaster Recovery & Resilience Engineering includes disaster recovery planning, cloud disaster recovery architecture, AWS disaster recovery strategy, Azure disaster recovery, backup and disaster recovery automation, recovery testing, observability and managed operations.
Enterprises need disaster recovery plans to reduce downtime, protect data, recover critical systems and maintain business continuity during outages, cyber incidents, infrastructure failures or platform disruptions.
Cloud disaster recovery uses cloud platforms to back up, replicate, fail over and restore applications, infrastructure and data systems after disruption. It helps teams recover faster while improving scalability and operational control.
Yes. Logiciel supports AWS disaster recovery, including AWS disaster recovery strategy, backup policies, replication patterns, failover automation, monitoring, recovery runbooks and validation testing.
Yes. We support Azure disaster recovery for workloads, databases, applications, backups, replication, failover workflows, restore validation and operational reporting.
Disaster recovery focuses on restoring systems after disruption. Resilience engineering focuses on designing systems that tolerate failure, degrade gracefully, recover automatically and reduce the impact of incidents.
You retain ownership of all recovery plans, architecture diagrams, backup policies, automation scripts, monitoring dashboards, runbooks, documentation and implementation materials.
Yes. We run managed operations with backup monitoring, recovery testing, incident response support, runbook updates, resilience reviews and continuous improvement.