Yorigu Disaster Recovery

Yorigu Disaster Recovery for Proxmox

Machine and DB System Replication for Proxmox

Run agentless disaster recovery workflows for physical, virtual, and database workloads on Proxmox VE, with validation, failover, and failback built into the lifecycle.

Workload Coverage

Physical Servers

Physical Servers are replicated or migrated to the selected target without changing the source configuration.

Virtual Machines

Virtual Machines follow the same workflow as Physical Servers, with validation tracked through every phase.

DB Systems

DB Systems add Database-Aware consistency, validation, and cutover readiness for mission-critical database workloads.

Target-Specific Delivery

Target-Specific Delivery for Proxmox VE

Yorigu Disaster Recovery for Proxmox is suited for teams that want recovery capacity to remain on-premises or inside customer-managed infrastructure while keeping validation, failover, and failback readiness visible.

Replicated workloads stay on the organization's own Proxmox VE infrastructure.

For Disaster Recovery, Yorigu is designed around powered-off standby targets: replicated state is kept ready, compute is used for scheduled validation and failover, and readiness is evidenced through the workflow rather than assumed.

  • Recovery stays aligned to Proxmox VE target hosts, clusters, storage, and network mappings.
  • Physical servers, virtual machines, and DB system workloads remain part of the same recovery planning model.
  • Validation, failover readiness, and failback preparation are kept observable for on-premises DR operations.

Operational Controls

Product-Specific Controls

Orchestrated Failover

Failover runs as an organization-owned, orchestrated workflow with readiness state, tracking, and validation context, not as an unattended automatic trigger and not as a manual sequence of commands.

Automated Validation

Yorigu runs scheduled validation tests and produces recovery readiness evidence, including Machine, network, and database state where Database-Aware workflows apply.

AutoHealing

AutoHealing keeps Disaster Recovery workflows working through source-side variations and reduces operator effort during target activation.

Tunable Recovery Objectives

Recovery point and recovery time objectives are set per workload. Sync frequency, target preparation, validation workflow, and cutover procedure are tuned according to workload priority.

Powered-Off Standby Targets

Standby targets stay powered off until a recovery event, so disaster recovery does not require continuously running duplicate compute. Workloads that must stay under continuous synchronization are handled as scoped exceptions.

Integrated Failback

Failback is part of the same product lifecycle, not a separate product, separate license, or disconnected reverse workflow.

Database-Aware Workflows

DB System Coverage

Yorigu can automate DR workflows for physical servers, virtual machines, and mission-critical database systems. When database-aware coverage is required, DB Systems brings consistency, validation, cutover readiness, and recovery state into the same operational view as machine-level workflows for recovery and validation toward Proxmox.

Database-aware workflows track consistency and validation state, so DB systems return in a usable, consistent state rather than as generic block-level copies. This matters most for transactional systems such as Oracle and SAP HANA.

View DB System Workloads

Database Engines

Oracle Microsoft SQL Server PostgreSQL MySQL SAP HANA

Machine-Only Packaging

Physical server and virtual machine coverage for environments that do not need database-aware workflows.

Machine + DB System Packaging

Machine + DB System packaging includes Physical Server and Virtual Machine coverage alongside Database-Aware workflows.

Machine-only packaging is available for environments that only need server and VM replication.

For organization-specific licensing, deployment scope, or a POC License, contact Yorigu.

Next Step

Discuss Your Environment

Yorigu can help assess the right deployment model based on your operational requirements and recovery objectives.