How Elastic Assured Continuous Data Protection Reduces RPO to Zero

Abstract

Traditional continuous data protection (CDP) solutions often require write‑time logging at the Guest OS or proprietary storage layer, which degrades production performance and raises compute and storage costs when moving to the cloud. Hybrid deployments also struggle with bandwidth and complexity, making it hard to meet low RPO and RTO requirements. While CDP overlaps with snapshot and replication functions, it focuses more broadly on data protection, recovery, and business continuity, offering finer‑grained recovery points.

The new Pangu 2.0 block storage architecture, especially its log‑structured block device, provides a fresh opportunity for cloud‑native CDP, enabling near‑second recovery while keeping storage performance high.

Data Protection Challenges

Data security has reached unprecedented importance; business interruptions cause increasing user impact. Since 2017, ransomware (e.g., WannaCry, Petya, Locky) and accidental deletions have heightened expectations for data protection, especially in cloud environments.

Definition of Continuous Data Protection

According to the Storage Networking Industry Association (SNIA), CDP is a set of methods that capture or track data changes and store them separately from production data, allowing recovery to any point in time. Gartner defines CDP as a recovery method that continuously (or near‑continuously) captures data changes and stores them as logs, providing fine‑grained recovery points.

Key concepts:

RPO (Recovery Point Objective): the maximum tolerable data loss measured in time.

RTO (Recovery Time Objective): the maximum tolerable downtime before business resumes.

True CDP aims for RPO = 0 and RTO approaching 0; otherwise it is considered Near CDP.

Characteristics of CDP

Traditional backup solutions suffer from backup windows, data consistency issues, and production impact. CDP continuously monitors data changes, eliminating the need for manual backup windows and allowing users to select any recovery point after a disaster.

Advantages over traditional disaster recovery:

Significantly improves RPO, reducing potential data loss from hours to seconds.

Replication cannot protect against logical errors or ransomware; CDP can roll back to a point before the error.

Finer granularity of recovery time and objects, often enabling end‑users to perform restores directly.

Implementation Methods

Baseline reference data mode: Create a reference copy and log differences; recovery starts from the baseline and applies logs, which can be time‑consuming for recent points.

Copy reference data mode: Keep a real‑time synchronized copy and log undo operations; recovery near the present is fast but requires more resources.

Synthetic reference data mode: Combines the two approaches to balance resource usage and recovery speed.

Traditional CDP Products

Examples include FalconStor CDP, Veeam CDP, and EMC RecoverPoint. FalconStor offers an integrated disk‑based backup and disaster recovery solution. EMC RecoverPoint provides both local and remote continuous replication with any‑point‑in‑time recovery. Veeam focuses on virtual machine protection, extending to cloud environments.

Major Cloud Providers' Data Protection

AWS primarily offers native snapshot capabilities, relying on third‑party backup vendors for full CDP functionality. Azure provides basic VM backup and recovery but lacks advanced CDP features.

Elastic Assured Continuous Data Protection

Gartner describes an elastic backup engine that requires fast RTO, full backups without heavy WAN transfer, and guaranteed data recoverability. Elastic CDP combines these traits, delivering verifiable, resilient protection that maintains consistency across volumes and applications.

Conclusion

Data protection must be proactive. As enterprises accelerate cloud adoption, the demand for low‑RPO and low‑RTO solutions grows. Traditional block‑level CDP, tied to specific storage hardware, lacks the elasticity needed for distributed cloud environments. Elastic, verifiable CDP, exemplified by the Pangu 2.0 architecture, promises second‑level recovery and will become a critical component of modern data protection strategies.

References

https://www.snia.org/sites/default/education/tutorials/2007/spring/data-management/Trends_in_Data_Protection_CDP_VTL.pdf https://en.wikipedia.org/wiki/Continuous_data_protection https://www.gartner.com/it-glossary/continuous-data-protection-cdp/ https://falconstor.com/page/700/continuous-data-protector-cdp https://www.emc.com/collateral/guide/h12151-ho-emc-15-minute-continuous-availability-services.pdf https://d1.awsstatic.com/whitepapers/Backup_and_Recovery_Approaches_Using_AWS.pdf