Achieving Sub‑2‑Hour RTO: A Cloud‑Native Disaster Recovery Blueprint for Enterprises

Background and Objectives

In the fast‑moving digital era, business continuity and stability are critical competitive advantages. Enterprises face risks such as data loss and system outages, making a scientific, efficient disaster‑recovery (DR) plan essential. A global industrial group chose the Lingque Cloud ACP (a cloud‑native platform) to meet strict DR requirements: RTO ≤ 2 hours and RPO ≤ 1 minute.

Key DR Concepts

Disaster recovery ensures that an information system can quickly resume normal operation after a disaster, minimizing business interruption and data loss. Two core metrics are:

RTO (Recovery Time Objective) : the maximum allowable downtime from failure to restored service.

RPO (Recovery Point Objective) : the maximum tolerable period of data loss, i.e., how far back the backup point can be.

Overall DR Architecture with ACP

ACP provides a full‑stack cloud‑native solution—containerization, micro‑services, and automated operations. The group migrated legacy applications to a Kubernetes (K8s) cluster managed by ACP, integrated NetApp‑ONTAP storage via CSI, and enabled cross‑data‑center PVC replication using SnapMirror.

Technical‑Platform DR

The platform must remain operational after a disaster such as fire. Redundancy is achieved by deploying the technical middle‑platform in both primary and backup data centers, each exposing its own access address. ACP’s native DR capabilities (data sync, access‑layer switching) satisfy these needs.

Data‑Layer DR

Three persistence types are addressed:

File storage : Business workloads run in K8s using Persistent Volumes (PV) and Persistent Volume Claims (PVC). ACP creates PVCs that map to NetApp‑ONTAP volumes; SnapMirror replicates data between sites, enabling cross‑site file recovery.

Middleware storage : Redis uses Redis‑Shake for active‑active replication. The steps are:

Deploy identical Redis clusters in both data centers.

Set up Redis Sentinel instances for source and target.

Run Redis‑Shake on the source to forward writes to the target.

Manually stop Redis‑Shake during a DR switch to avoid dirty data.

Database storage : Oracle databases employ Data Guard, streaming redo logs from primary to standby to keep them synchronized. Manual stop of log shipping is required before a DR cut‑over.

Application‑Layer DR

The goal is to have a mirrored backup application that can take over instantly. Requirements include stateless services, domain‑based access, middleware with built‑in DR features, and automatic reconnection capabilities. Administrators must keep versions identical across both environments and perform regular verification.

Access‑Layer DR

Both intranet and internet traffic are routed via DNS to ACP’s ALB. In a disaster, switching DNS records redirects traffic to the backup site, enabling rapid service restoration without code changes.

DR Management Platform

A unified platform scripts the entire cut‑over process—DNS switches, middleware and database endpoint changes, and data‑sync toggles—ensuring accuracy and speed during an incident.

Disaster‑Recovery Drills

Annual DR switch and recovery drills validate the plan, uncover gaps, and improve readiness. Core business services are selected for verification each year.

Evaluation and Optimization

The current solution covers data, application, and access‑layer DR but has improvement areas:

Technical‑platform DR : Dual‑site deployment with separate addresses is sub‑optimal; ACP’s acp‑mirror component can provide a single‑domain, product‑level sync.

Application management : Manual version and configuration alignment is burdensome. Introducing GitOps automates declarative configuration, CI/CD pipelines, and cross‑site synchronization.

GitOps stores all manifests in a Git repository; any change triggers automatic deployment to both data centers, ensuring consistency and reducing operational overhead.

Key GitOps Features

Version control and automatic synchronization across sites.

Automated CI/CD deployment triggered by repository changes.

Centralized configuration management stored in Git.

Integrated monitoring and alerting for real‑time health checks.

By adopting ACP’s GitOps solution, the group can lower deployment and operational costs while enhancing DR reliability and availability.