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A cloud outage is not automatically data loss, but it can make your backups unreachable when the provider control plane, identity system, DNS or networking is impaired. Resilient backup design therefore requires more than redundant storage: keep recovery copies and metadata outside the production failure domain, export the configuration needed to rebuild services, monitor independently and test restoration while provider APIs are unavailable.
What these outages reveal about backup risk
- Availability, durability and recoverability are separate goals. A service can be temporarily unreachable while its data remains intact; conversely, durable copies may exist but be unusable if the recovery control plane is down.
- Isolation must include identity and administration. Separate accounts, credentials, approval paths and, where practical, providers or regions so one operator mistake or identity failure cannot affect production and recovery copies together.
- Configuration is part of the backup. Infrastructure definitions, DNS, identity settings, encryption-key material and orchestration metadata must be versioned and recoverable alongside application data.
- Recovery must have an independent path. Provider status pages, APIs and telemetry can be affected by the same incident, so monitoring, runbooks and emergency credentials need an out-of-band route.
Availability, durability and recoverability are different
| Property | What it means | Typical failure shown by an outage | Control that addresses it |
|---|---|---|---|
| Availability | Users and operators can reach the service now. | Regional networking, DNS, storage APIs or a control plane become unreachable. | Failover capacity, alternate traffic paths and independent monitoring. |
| Durability | Committed data remains preserved over time. | A provider incident blocks access without necessarily deleting stored objects or snapshots. | Versioned, immutable or otherwise isolated copies with separate credentials. |
| Recoverability | The organization can restore an operating workload within its RPO and RTO. | Snapshots exist, but identity, DNS, keys, orchestration or provider APIs needed to use them are unavailable. | Documented restoration procedures, exported configuration and exercises that measure end-to-end recovery. |
Ten major outages compared
The incidents below are drawn from AWS, Google Cloud, GitHub and Azure incident reports and public postmortem collections. Where an event record does not specify a date or a customer-side measurement, it is marked as not stated rather than inferred.
| Incident | Root cause and failure domain | Dependency chain and customer blast radius | Detection and recovery path | Backup-isolation implication | Corrective action for customers | Availability | Durability | Recoverability |
|---|---|---|---|---|---|---|---|---|
| AWS S3 US-EAST-1, February 28, 2017 | AWS reported that an authorized operator ran a command intended to remove a small number of servers from an S3 subsystem. | S3 APIs became unavailable; dependent operations including EC2 instance launches, EBS snapshot access and Lambda were affected. | AWS incident reporting described the event; customers depending on S3 APIs needed an alternate way to obtain recovery metadata and launch workloads. | Keep catalogs, manifests and orchestration data outside the affected account and region, not only the data objects themselves. | Use destructive-change safeguards, scoped permissions, independent approval and a recovery path that does not require the impaired S3 control plane. | Regional API availability failed. | The incident did not establish that customer data was deleted; preservation and access were different questions. | Snapshot-based recovery could be blocked because the API and related services were unavailable. |
| Google Cloud asia-northeast1 connectivity, June 8, 2017 | Google’s status report recorded a regional network-connectivity failure lasting 62 minutes. | Connectivity to and from services in asia-northeast1 was unavailable. | The provider status report supplied the duration; restoration required connectivity to return or traffic and operators to use a path outside the region. | A second copy in the same region does not provide an accessible recovery path during a regional network event. | Place at least one copy, recovery operator path and runbook outside the region, and test access during regional isolation. | Regional reachability failed for 62 minutes. | Copies may have remained stored even while unreachable. | Recovery depended on an external network path or an alternate region. |
| GitHub DDoS, February 2018 | A distributed denial-of-service attack reached 1.35 Tbps, according to the public incident record. | An online service was overwhelmed; the event was an availability and traffic-protection crisis rather than evidence that offline copies were corrupted. | Internet-facing detection and mitigation handled the attack; isolated recovery copies remain useful only if they are not exposed through the same path. | Keep backup repositories offline, private or otherwise isolated from public service credentials and ingress. | Separate DDoS controls from backup-integrity controls and verify that recovery storage is reachable through a protected administrative route. | Public service availability was attacked. | The incident record does not report loss of offline backup data. | Recovery depends on protected access to copies even while the production endpoint is overwhelmed. |
| GitHub MySQL failover degradation, October 2018 | GitHub’s public index associates the degradation with MySQL failover. | Database failover behavior degraded service and exposed dependencies on replication health. | Database and application signals detected degradation; recovery required a functioning failover process and trustworthy replicas or snapshots. | Do not treat the primary failover mechanism as the only recoverable copy. | Rehearse database failover, monitor replication lag and retain snapshots that can be restored independently. | Application availability degraded during failover. | Replication status and snapshots determine whether data remains usable; the record does not state a data-loss amount. | Successful recovery requires tested promotion, replica validation and an independent restore option. |
| Azure storage bad-configuration incident | A configuration error took down Azure storage; the public postmortem collection does not state a date in the supplied record. | Storage availability failed because control configuration, not merely stored content, was wrong. | Provider incident reporting identified the configuration problem; rollback or correction of configuration was part of recovery. | Data copies alone cannot recreate a valid storage configuration. | Version configuration, require review, preserve known-good states and maintain a tested rollback path. | Storage service availability failed. | Stored data preservation is distinct from the faulty configuration. | Restoration requires both data and the configuration that makes the storage service usable. |
| Google Cloud networking outage, June 2019 | Google described a routing and capacity event; multiple concurrent failures prolonged recovery. | Some regions or services became inaccessible, demonstrating correlated rather than isolated failure. | Provider incident material described the network event; customers need independent telemetry and an emergency operator and traffic path. | Copies split only by nominal region may still share routing, identity or operational dependencies. | Map shared failure domains, maintain emergency connectivity and test correlated regional and network failures. | Some regional or service endpoints were inaccessible. | Network failure alone does not imply that stored copies were destroyed. | Recovery can stall when routing, capacity and operator access fail together. |
| AWS EC2/EBS Tokyo event, August 23, 2019 | AWS lists the event in its Post-Event Summaries; the supplied record identifies an EC2/EBS incident in Tokyo without a more specific root cause. | Compute, block-storage snapshots or their orchestration could be affected within the actual failure domain. | Customers must use provider incident information plus their own dependency map to determine which recovery steps remain possible. | A regional label does not prove independence if snapshots, keys, orchestration or operator access share the same domain. | Map every recovery dependency to concrete failure domains and validate restoration outside the affected domain. | Compute or storage availability was affected in the event domain. | The supplied record does not state that snapshots were deleted. | Recovery depends on whether snapshot access and launch orchestration are outside the impaired domain. |
| Google Cloud global/API incident | The public postmortem collection records Google incidents whose impact varied with product architecture; a specific date and root cause are not stated in the supplied record. | Workloads can share global identity, control-plane APIs, DNS or networking even when data is distributed geographically. | Independent application and operator monitoring is needed because the affected API may also provide status or telemetry. | Geographic replication is insufficient when all copies require the same global identity or API. | Classify shared services and document procedures that work with impaired APIs, DNS or identity. | Impact varies by product architecture and shared-service dependency. | Data durability is workload-specific and not established by the incident summary. | Recoverability fails when the restore workflow depends on a shared global service. |
| Azure DNS or control-plane migration failures | Public Azure postmortems include DNS and management-plane migration incidents; the supplied record does not give one date or a single root cause. | DNS resolution, management access or migration operations can fail independently of application data storage. | Independent DNS and identity checks are required; provider control-plane status cannot be the only signal. | Export authoritative DNS, credentials and management configuration outside the provider path. | Validate DNS and identity restoration as separate exercises from application-data restore. | Name resolution or management availability can fail. | Application data may remain intact while it is unreachable. | Recovery requires working DNS, credentials and management procedures before applications can be brought online. |
| Cloud power and facility failures | Public postmortem collections include power loss, depleted backup energy and facility-system failures. | Physical infrastructure failures can affect multiple services in a facility or broader site. | Provider facility response restores service; customers need an alternate operating location and independent monitoring. | Provider durability commitments do not replace customer-controlled copies and recovery objectives. | Maintain copies outside the site, define an alternate operating location and test the complete cutover. | Facility services can become unavailable. | Provider redundancy may preserve data, but the customer cannot assume universal accessibility during the event. | Recovery depends on an independent location, credentials, network and runbook. |
Build a backup system that survives a control-plane outage
1. Set workload-specific RPOs and RTOs
Define the maximum acceptable data gap (recovery-point objective) and restoration time (recovery-time objective) for each workload. A single company-wide target hides the difference between a transactional database, a static asset store and a batch system.
2. Isolate copies and destructive authority
Keep at least one recovery copy outside the provider region and account hosting production. Use separate backup credentials, limit their permissions, protect them from routine administrator sessions and require independent approval for deletion, retention changes or key destruction.
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3. Export the state that makes data usable
Store versioned infrastructure definitions, storage policies, database schemas, DNS zones, identity and access configuration, encryption-key recovery material, backup catalogs and orchestration metadata. Protect these exports with the same care as the data, but place them on an independent recovery path.
4. Map shared dependencies
For every restore step, identify required APIs, identity providers, DNS resolvers, networks, keys, registries and operator devices. Mark which dependencies are regional, global or provider-specific. This exposes a hidden single failure domain that a multi-region copy can miss.
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5. Monitor from outside the provider path
Send backup-job results, object-integrity checks, replication lag and restore probes to an independent monitoring system. Use a separate alerting route because the provider status page, control plane or in-cloud telemetry may be unavailable during the incident.
How to test recovery when provider APIs are down
- Choose a workload and record its RPO and RTO. Capture the starting data version, dependencies and the people authorized to perform recovery.
- Prepare an out-of-band recovery kit. Include isolated credentials, configuration exports, DNS data, identity procedures, encryption-key material, backup catalogs, contact details and runbooks that can be opened without the normal provider console.
- Exercise API loss safely. In a controlled environment, make the normal provider management API, region or identity dependency unavailable. Do not create a destructive condition in production.
- Restore to an alternate failure domain. Use the isolated copy in another region, account or provider and document every manual step, permission and dependency.
- Rebuild access before application traffic. Restore identity, keys, network routes and authoritative DNS, then bring up the application and verify data consistency.
- Measure the result. Record elapsed time, recovered data point, operator actions, blocked steps and the exact reason for every delay. Compare these measurements with the stated RPO and RTO.
- Track fixes to closure. Publish a blameless postmortem, assign owners and due dates, and repeat the exercise after material architecture or provider changes.
Use incident analysis to improve the next restore
A useful postmortem records when the event started, how long it lasted, how severe it was and its total effect on the customer error budget. Google Cloud’s postmortem guidance frames those measurements explicitly. AWS’s Post-Event Summary policy covers issues with broad and significant customer impact, including major control-plane, infrastructure, power or network failures.
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The public Postmortems.app index showed 242 postmortems across eight categories when accessed in 2026. The value of such records is not the count itself; it is the recurring pattern: failures often cross service boundaries, and recovery depends on controls outside the component that first failed.
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What to require from backup and disaster-recovery tools
- Support for separate accounts, regions or providers and independently managed credentials.
- Immutable or otherwise protected retention, with approval gates for destructive actions.
- Exportable catalogs, infrastructure definitions, DNS and identity recovery data.
- Restore workflows that do not assume the primary provider console is available.
- Independent monitoring, integrity verification and restore testing with measured RPO and RTO.
- Clear mapping of dependencies such as keys, networking, DNS, identity and orchestration.
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