Disaster Recovery Orchestrator

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source orchestrator for DR runbook automation, non-disruptive failover testing, and continuous RTO/RPO monitoring across hybrid and multi-cloud environments.

Disaster Recovery Orchestrator coordinates multi-tier application failover, validates recovery readiness through non-disruptive testing, and produces audit-ready compliance evidence. It is built for IT infrastructure teams, SREs, and compliance owners who need dependable recovery across on-premises, AWS, Azure, and GCP without locking into a single vendor's data-protection stack.

Why Disaster Recovery Orchestrator?

Incumbent orchestrators like Veeam Recovery Orchestrator carry heavy on-premises heritage and a UI perceived as dated relative to cloud-native alternatives.
Hyperscaler-native tools (AWS Elastic Disaster Recovery, Azure Site Recovery) lock recovery to a single destination cloud and lack cross-cloud failover.
Enterprise platforms such as Commvault and Veritas NetBackup carry complex licensing and high implementation overhead, with annual contracts ranging from $50,000 to $500,000+.
Backup-first vendors like Rubrik and Druva have less mature DR orchestration depth (dependency management, RTO/RPO modelling) than dedicated orchestrators.
Most tools require manual mapping of application dependencies and offer limited proactive RTO/RPO gap detection — only 32% of organisations have a readiness dashboard according to industry research.

Key Features

Runbook Automation and Failover Sequencing

Multi-tier DR runbook builder with dependency-ordered failover sequencing across VMs, databases, and services
Application dependency modelling to enforce correct sequencing for interdependent services
Non-disruptive DR testing in isolated environments without production impact
Scheduled and on-demand DR test execution with automated result capture

Recovery Monitoring and SLA Management

RTO/RPO monitoring dashboard with live recovery readiness scoring
Continuous gap analysis comparing simulated recovery performance against declared SLAs
Configuration drift detection between runbook steps and live infrastructure
Per-application readiness scoring and gap-to-SLA reporting

Multi-Cloud and Hybrid Targeting

Failover targets across AWS, Azure, GCP, and on-premises environments
Vendor-neutral replication adapter layer designed to support pluggable backends (Veeam, Zerto, AWS DRS, Azure ASR)
Cross-cloud failover orchestration rather than single-destination lock-in
Network mapping and target environment configuration as part of the DR plan

Compliance and Audit

Compliance evidence package generation for SOC 2, ISO 22301, ISO 27001, DORA, and NIS2
Immutable audit trail capturing test runs with timestamps, pass/fail status, and approver sign-off
Automated runbook reports with approvals and evidence for auditors
ITSM integration (ServiceNow, Jira) for approval workflows and incident ticketing

Integration and Extensibility

REST API and webhook support for integration with replication engines and ITSM platforms
Mobile UI for field operators executing recovery tasks under pressure
Optional chaos engineering integration (LitmusChaos / Chaos Mesh) to gate runbook readiness on resilience scores
Kubernetes-native DR orchestration for containerised workloads (planned)

AI-Native Advantage

AI-driven failure prediction monitors storage health indicators, network anomalies, and system telemetry to initiate pre-emptive failover before an outage occurs, transforming DR from reactive to proactive. Dependency graphs are inferred automatically from network flows and APM telemetry, replacing the manual runbook mapping that incumbent tools require. Natural language runbook generation produces step-by-step procedures from infrastructure-as-code definitions (Terraform, CloudFormation, ARM templates), and post-incident reports — including root cause analysis, timeline reconstruction, and regulatory attestation text — are generated automatically from recovery event logs.

Tech Stack & Deployment

The orchestrator is designed for self-hosted, cloud, and hybrid deployment, exposing a REST API and webhooks for programmatic control. It targets the foundational DR SLA metrics (RTO and RPO) and aligns with ISO 22301, NIST SP 800-34, SOC 2 Type II, and ITIL Service Continuity Management. The replication adapter layer is intended to interoperate with existing engines (Veeam Backup & Replication, Zerto journal-based CDP, AWS DRS, Azure Site Recovery) rather than reimplementing block-level replication.

Market Context

The disaster recovery software market was valued at approximately $12.8–12.9B in 2025 and is projected to reach $24.6B by 2029, growing at a 17.5% CAGR (TBRC; OpenPR). Hyperscaler-native tools price low per-resource (AWS DRS at $0.028/hr/server; Azure ASR at $25/instance/month), while on-premises and hybrid orchestrators command $50,000–$500,000+ annual enterprise contracts. Primary buyers are IT infrastructure directors, DR coordinators, CIO/CISO at regulated industries (financial services, healthcare, government), DevOps/SRE leads, and compliance officers responsible for business continuity attestation.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.