Disaster Recovery Service Provider

Most disaster recovery plans are theoretical — written once, filed away, and never tested under realistic conditions. When disaster actually strikes — a ransomware attack encrypting production databases, a cloud region outage taking down customer-facing services, or a catastrophic hardware failure destroying on-premises infrastructure — organisations discover that their backup strategy has gaps, their failover procedures are outdated, and their recovery takes days instead of hours. The result is extended downtime, data loss, customer impact, and in regulated industries, compliance violations. Disaster recovery sits inside the broader scope of a managed service provider engagement, but it is a discipline in its own right: the engineering work of replicating production state to a recoverable second site, automating the cutover, and proving — quarter after quarter — that the cutover actually works. Opsio operates as a cross-cloud disaster recovery service provider. We design DRaaS architectures that span AWS, Azure, Google Cloud, and hybrid on-premises footprints — not a single hyperscaler lock-in. For organisations standardised on a single platform, dedicated patterns apply: our Azure disaster recovery as a service page covers the Azure-specific deep-dive (Site Recovery, Backup Vault immutability, region pairs, ASR replication policies), while DR for AWS estates is delivered as part of our AWS managed service scope using Elastic Disaster Recovery, Backup, and Resilience Hub. The cross-cloud angle matters when the failure mode you fear is a sustained outage of the primary provider itself — a scenario where same-cloud cross-region replication is not sufficient and a true secondary platform is required. Designing for that scenario adds cost and complexity, and we model it openly rather than defaulting to the cheaper single-cloud answer.

Recovery objectives are workload-tier decisions, not company-wide ones. We classify applications into a four-tier model. Tier-0 — the systems that lose revenue every second they are down (payment processing, real-time trading, life-safety telemetry) — gets multi-site active-active with synchronous replication, sub-second RPO, and near-zero RTO; this typically costs 80–100% of primary infrastructure. Tier-1 — customer-facing applications with SLA commitments — gets warm-standby with asynchronous replication, 1–5 minute RPO, and 15–30 minute RTO at roughly 40–60% of primary cost. Tier-2 — internal operational systems — uses pilot-light: minimal always-on footprint, infrastructure-as-code to scale on declaration, 30 minute–4 hour RTO at 15–25% of primary cost. Tier-3 — analytics, dev, low-criticality archives — relies on backup-and-restore with daily snapshots and a 4–24 hour RTO. Mixing tiers correctly is how organisations avoid both under-protecting revenue and over-spending on workloads that can tolerate a half-day outage.

Testing is where our approach differs fundamentally. We conduct quarterly DR tests — not tabletop discussions but actual failover exercises that validate recovery of every protected workload, with telemetry capture for each runbook step. For mature DR programmes we layer in chaos engineering: scheduled, controlled fault injection in production-adjacent environments to surface dependency assumptions before they fail unannounced. Each test is documented with timing metrics, issues discovered, and improvements implemented. When you need to demonstrate DR capability to auditors, insurance underwriters, or board members, you have concrete evidence that your recovery plan works — not a document that claims it will. The cost framing matters: Gartner's $5,600-per-minute figure is an average across industries, but the real number scales with revenue model. E-commerce loses transaction volume; SaaS triggers SLA credits; manufacturing absorbs line-stop cost; healthcare faces care-delivery and patient-safety exposure. We help clients build a per-hour cost-of-downtime model first, then back-solve the DR budget from it — typically landing on 30–50% of primary infrastructure spend for a balanced multi-tier programme.

Regulation is now the second forcing function behind DR investment. NIS2 (transposed into national law across the EU from October 2024) requires essential and important entities to maintain business continuity and crisis management plans with documented test evidence. DORA (effective January 2025) imposes ICT operational resilience requirements on financial entities, including threat-led penetration testing and recovery scenario testing. ISO 22301 codifies business continuity management systems with a formal BCMS audit cycle. HIPAA's Contingency Plan rule (45 CFR §164.308(a)(7)) mandates data backup, disaster recovery, and emergency mode operations plans for covered entities. GDPR Article 32 requires "the ability to restore the availability and access to personal data in a timely manner in the event of a physical or technical incident." DR documentation, test evidence, and runbook artefacts are now audit-grade deliverables, and we structure every engagement so the evidence is generated as a by-product of normal operations rather than retrofitted before an audit. For the security overlay — encryption-in-flight for replication traffic, IAM separation between primary and DR accounts, immutable backup vaults, and ransomware-clean-room procedures — DR work runs adjacent to our cloud security service, and the controls map directly into the NIS2 compliance evidence pack. For a broader primer on the strategic case for cloud DR, see our cloud DR business case article. Featured reading from our knowledge base: What Is a Hot Site in Disaster Recovery?, Disaster Recovery on Cloud: Strategies and Services – Opsio, and Why Is a Disaster Recovery Plan Important?.