Beetroot Tech Glossary
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What is disaster recovery?

The disaster recovery definition encompasses the strategies, technologies, and procedures used to restore IT systems, data, and services after a disruptive event. IT disaster recovery management helps organizations restore systems after cyberattacks, system outages, hardware failures, and natural disasters. Disaster recovery is typically treated as the IT recovery component of broader business continuity planning.

The Core Components of an IT Disaster Recovery Plan

A reliable disaster recovery strategy requires a multi-layered approach to prepare the company for the most common risks. To better understand what an IT disaster recovery plan is, consider its key components, including:

  • Data backup and replication strategies. Maintain regular, automated, and tested backups in a cloud or off-site storage, and use replication where recovery objectives require a more current secondary copy.
  • Failover systems and redundancy. Define automated or manual failover procedures and maintain sufficient redundant capacity for critical workloads. Load balancing may support this design, but does not replace a tested failover process.
  • Recovery infrastructure. Determine where the systems will be restored, using cloud disaster recovery, on-premises recovery infrastructure, or a hybrid approach.
  • Incident response procedures. Document roles and responsibilities within the response team and adopt response workflows so everyone knows what steps to take in emergencies.
  • Testing and validation processes. Regularly test the disaster recovery IT plan through failure simulations and backup restoration testing, and update the strategy based on the outcomes.

A disaster recovery strategy may involve internal infrastructure, security, application, and operations specialists, external cloud infrastructure services, and DevOps engineering, or a combination of these capabilities.

How IT Disaster Recovery Works

A typical disaster recovery plan is triggered when an incident occurs. Teams must already have a well-planned sequence of steps that usually look like the following:

  • Incident occurs. Monitoring or security tools detect the incident and alert the relevant team. The team then determines whether the event can be handled through standard incident response or high-availability mechanisms, or whether the disaster recovery plan should be activated.
  • Failover is triggered to backup systems. If required by the plan, selected critical workloads fail over automatically or manually to a secondary environment.
  • Systems are restored using backups or replicas. IT teams restore the main systems by rebuilding environments, reinstalling applications, and reconfiguring systems. Depending on the incident and recovery design, they may use backups, replicas, or rebuilt environments.
  • Data is recovered based on RPO. Data is restored to a point that meets the defined Recovery Point Objective (RPO), which expresses the maximum acceptable amount of data loss in time.
  • Operations resume within the defined RTO. Teams aim to restore the required service level within the defined Recovery Time Objective (RTO). Operations may continue in the recovery environment until the primary system is repaired and failback is complete.

Key Metrics: RPO vs. RTO Disaster Recovery and Where RCO Fits

Recovery Point Objective (RPO) and Recovery Time Objective (RTO) are the two primary metrics used to define acceptable data loss and downtime. Some organizations also use Recovery Consistency Objective (RCO) to describe the required level of consistency across interdependent systems after recovery, although this term is less standardized.

Metric Definition Focus
RPO Maximum acceptable amount of data loss, expressed as a period of time Data loss tolerance
RTO Maximum acceptable time to restore a service or workload Service availability
RCO Target level of consistency across related data and systems after recovery; a less standardized metric Cross-system data consistency

Defining these objectives helps teams choose backup frequency, replication methods, recovery capacity, and testing priorities. More demanding RPO and RTO targets generally require greater infrastructure investment and operational complexity.

Types of IT Disaster Recovery Solutions

The choice of a disaster recovery approach largely depends on the company's infrastructure, available budget, and recovery objectives. The most common DR approaches include:

  • Cloud disaster recovery. Uses cloud storage, compute, and networking to maintain backups, replicas, or recovery environments. The design depends on the required RPO, RTO, and level of workload criticality.
  • Virtualized disaster recovery. Packages workloads as virtual machine images that can be replicated and restored on compatible infrastructure.
  • Disaster Recovery as a Service (DRaaS). A third-party provider manages some or all of the replication, recovery infrastructure, orchestration, testing, and failover or failback process.

Cloud-based disaster recovery may reduce the need to maintain a separately owned secondary data center. Virtualized recovery can simplify restoration on compatible infrastructure, while Disaster Recovery as a Service may suit organizations that prefer a managed recovery capability. Costs, recovery speed, and responsibility boundaries depend on the selected architecture and provider.

Disaster Recovery as a Service (DRaaS) and Other Examples

The need for IT disaster recovery is universal across industries, since security breaches, system failures, and other emergencies can happen in any organization. Below are a few examples of how having a disaster recovery plan can help manage risks:

  • Government services. A government organization loses access to its primary on-premises data center after a local power failure. While the primary website is repaired, critical services fail over to a secondary cloud environment to help maintain the continued availability of priority services.
  • SaaS platforms. A SaaS platform experiences a regional infrastructure outage, which makes its primary environment unavailable. Its DRaaS provider orchestrates failover to a replicated environment in another region — the platform restores priority services while the primary environment is assessed.
  • Financial services. A financial organization detects ransomware in its primary environment. The response team isolates affected systems and restores clean workloads from tested, protected off-site backups in a recovery environment. These measures limit downtime while reducing the risk of restoring already compromised data.

The Role of Disaster Recovery in Stable System Operation

A disaster recovery plan helps organizations restore critical IT services and data after cyberattacks, system outages, and other disruptive events. A tested recovery strategy can reduce downtime and data loss, but it cannot guarantee uninterrupted operation. Its effectiveness depends on aligned recovery objectives, recoverable backups or replicas, suitable recovery infrastructure, clear responsibilities, and regular testing.

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