Why This Topic Matters
A disaster recovery plan is more than a backup product; workload priority, dependencies, communications, ownership, RPO/RTO and testing must be defined together.
Key Decision Points
Prioritize services by business impact.
Document application, DNS, identity and network dependencies.
Define recovery sequence and owners in writing.
Run regular tabletop and technical recovery tests.
Architecture and operating model
A DR plan combines business impact, scope, dependencies, authority and recovery strategy. Runbooks carry executable steps; the two are not identical documents. Alternate sites need identity, networking, DNS, keys and application licensing, not just hardware. Include failback and post-incident records.
Evaluate Google Cloud, Amazon Web Services (AWS) and Microsoft Azure against the same data, recovery and operating requirements. Although services can serve similar purposes, backup scope, retention, IAM, region and egress differ. Select on proven recovery results and total operating cost rather than product name.
- 1Impact and scope
- 2Dependencies and strategy
- 3Runbook and exercise
- 4Failback and maintenance
Design parameters
- Dependency order
- Map network, DNS, identity, database and application startup to business processes.
- Failback and single writer
- Define the writable side and delta transfer on failback; two active writers can cause divergence.
- Recovery unit
- Distinguish file, application, database and full-system recovery. Each has different dependencies and validation methods.
- Copy consistency
- Do not rely solely on job success. Verify consistency through application preparation, log-chain integrity and actual restores.
- Capacity and transfer
- Calculate using daily change, retention, full-copy method and measured throughput. Measure compression and deduplication rather than assuming ratios.
- Independent recovery
- Test access to backup management, keys, catalogs and target infrastructure after losing production.
Platform implementation
Service names are reference points. Scope, defaults, region availability and operating requirements differ; they are not interchangeable guarantees.
| Concern | Google Cloud | Amazon Web Services (AWS) | Microsoft Azure |
|---|---|---|---|
| Object copy | Cloud Storage | Amazon S3 | Azure Blob Storage |
| Backup operation | Backup and DR / service-specific backup | AWS Backup / service-specific backup | Azure Backup / service-specific backup |
| Validation | Independent access, retention and recovery testing | Account/region, permissions and recovery testing | Subscription/region, permissions and recovery testing |
Worked example
Give an order service first priority and an archive second in an example plan. Restore the order service’s identity and database dependencies first. Exercise site loss, corruption and administrator compromise separately rather than assuming one strategy covers all three.
Troubleshooting
| Observation | Likely cause / distinction | Verification |
|---|---|---|
| DR is running but users cannot access it | DNS, identity, certificates or dependent services may be missing. | Test the user path from client to final application transaction. |
| Backup succeeds but restore fails | Chain, key, catalog or application-consistency problems may be present. | Perform a real restore to a separate target; review product logs with application validation. |
| Transfer misses the target time | Source reads, networking, target writes or many small objects can limit throughput. | Measure speed and latency across all three layers simultaneously, not just link capacity. |
| Capacity grows faster than forecast | Change rate, full copies, lock periods or delayed cleanup may be missing from the estimate. | Compare actual usage and deletion-eligible points by policy. |
Acceptance checks
- Check that business priorities are consistent with technical restart order.
- Restore the chosen recovery point to a clean target and validate business data.
- Compare the observed data-loss window with target RPO.
- Record preparation, transfer, startup and business approval separately.
- Test required recovery access without the production administrator account.
- Test protected copies with controlled deletion attempts and actual restores.
Related concepts
Dependencies and restart order
Services commonly depend on identity, DNS, time, networking, databases and licensing. Record a dependency graph describing conditions for operation, rather than only a list of equipment. Recovery order follows that graph; circular dependencies may require emergency access paths. Distinguish restored infrastructure from resumed business activity. Assign an owner, validation method and alternative access path to each dependency. Test assumptions by deliberately making one component unavailable in a controlled end-to-end exercise.
RPO and the actual loss window
RPO is the acceptable duration of data loss after an incident. A backup schedule alone does not prove it: failed jobs or delayed replication to another site can enlarge the window. Compare the incident time with the latest usable, consistent recovery point. If an incident occurs at 14:00 and the verified copy is from 13:20, the observed loss window is 40 minutes. Set targets per application; a file archive and a database receiving continuous orders may have different requirements.
RTO and end-to-end recovery time
RTO specifies how soon a service must become usable after an incident. Downloading a backup or booting a VM accounts for only part of that duration. Record detection, approval, infrastructure preparation, data transfer, application startup and business validation separately. Define exactly what starts and stops the test clock. The same technical restore duration can produce different business interruptions when dependencies or access approvals introduce additional waiting.
Trust boundary and failure domain
A trust boundary separates components governed by different access decisions; a failure domain groups resources that one event can affect together. Two VLANs do not create a strong trust boundary when routing between them is unrestricted. Backups in different folders still share a failure domain if one administrator can delete both. Assess physical location, identity provider, management account, network path and power source separately. Test which access paths and recovery options remain available when a component is lost.
Failover and failback
Failover moves service to another component; failback returns it to the preferred location. Their risks and sequencing may differ. DNS updates, routing, sessions, replication lag and application dependencies determine user interruption. Define failover triggers, false-alarm behavior and approval for returning service. Simply shutting down a VM does not test every failure type. Measure network, storage and management-plane failures separately.
Availability versus recovery
High availability aims to keep service running through specified failures with a short interruption; backup recovers lost or corrupted data from an earlier point. A cluster can replicate an accidental deletion to another node. HA therefore does not replace backup. Consider DNS, identity, network, storage and power dependencies together. Successful node failover is insufficient by itself: measure user sessions, application writes and external integrations after the transition as well.
Primary documentation
How This Content Was Prepared
Doz Teknoloji Technical Team
This content is based on the technical evaluation approach used across Doz Teknoloji's enterprise IT practice areas.
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The topic was cross-checked against vendor documentation, publications from standards bodies and other relevant official technical sources.
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