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A cloud provider can restore its infrastructure while a business remains unable to operate. The risk is not simply that a data center or region fails: a global software change, shared identity or management dependency, slow data validation, or unavailable recovery tools can extend the impact well beyond the original fault. Recent Google Cloud and Microsoft Azure incidents illustrate how different the failure paths—and the recovery timelines—can be.
What should concern a CIO about a cloud outage?
The most consequential weakness may be in the customer’s dependency map, not in a provider’s headline availability. Applications depend on more than compute and storage. They may also depend on identity, DNS, network routes, provider APIs, SaaS platforms, developer tools, credentials, and the people and systems needed to coordinate a recovery.
If a recovery process relies on the same region, control plane, identity path, or collaboration tool that has failed, an apparently redundant workload may be difficult to restore. Provider recovery time and business recovery time are therefore different measures: the former describes a provider’s service; the latter depends on the customer’s architecture, data, procedures, and ability to act.
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What do recent cloud incidents show?
| Incident | Failure domain and reported cause | Reported timeline and impact | What the incident demonstrates |
|---|---|---|---|
| Google Cloud API-management incident, June 12, 2025 | An invalid automated quota update was distributed globally and caused external API requests to be rejected. | Google reported a three-hour incident: it began at 10:49 US/Pacific, was mitigated in all regions except us-central1 at 12:48, and ended at 13:49. Customers had intermittent API and UI access issues. Google said existing streaming and IaaS resources were not affected. | A globally distributed control-plane or metadata change can affect services across locations. Geographic distribution alone does not prevent a shared software or management failure. |
| Google Cloud us-east5-c power incident, March 29, 2025 | Utility power was lost and UPS batteries failed, preventing the intended transition to generator power. The incident affected zonal resources. | Google reported a six-hour, 19-minute incident, with varied effects by product and customer. It reported three hours of downtime for 318 zonal Cloud SQL instances; some Persistent Disk issues lasted beyond initial service mitigation. | Provider restoration, service mitigation, and recovery of an individual workload are not necessarily simultaneous. Some high-availability instances and customer failovers avoided the affected zone, but outcomes varied. |
| Microsoft Azure West US 2, May 29–30, 2026 | Severe thunderstorms caused utility voltage disturbances at multiple datacenter facilities. Cooling systems entered protective lockout, temperatures rose, and infrastructure shut down to protect equipment and data. The incident involved facilities in two physical availability zones within one region. | Microsoft reported customer impact from 04:24 UTC on May 29 to 02:30 UTC on May 30, while noting that individual customer and resource impacts varied. It reported cooling restoration in roughly two hours, recovery of most compute within eight hours, storage validation taking around 14 hours, and a further six hours for Application Insights and Log Analytics to process telemetry backlogs. | Recovery can continue in stages after the initiating physical problem is stabilized. Storage checks and data or telemetry backlogs may delay service readiness. |
Google’s June report also described corrective work to protect API management from invalid or corrupt data, strengthen testing and monitoring before global metadata propagation, and improve error handling and invalid-data testing. Those measures underline that software change management and physical redundancy address different failure modes.
Can an outage in one region affect services in another?
It can, depending on the failure. A region or zone is a useful failure-domain boundary, but its label does not prove that every dependency is independent. Google’s June 2025 quota incident spread through a globally distributed API-management system; it was not a report that all Google Cloud infrastructure failed. By contrast, Google’s March power event affected zonal resources in us-east5-c, with different services and customer architectures experiencing different effects.
Microsoft’s West US 2 report describes impacts involving datacenters in two physical availability zones within the same region. That is a reminder that multiple zones within one region are not equivalent to geographic diversity across regions. A design intended to withstand regional disruption needs to establish which components and recovery mechanisms actually reside outside that region.
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Ask providers and internal teams how logical availability zones map to physical facilities, and identify shared services that may cross those boundaries. For each critical workload, check whether identity, DNS, routing, credentials, management access, storage, and the recovery console remain usable during the failure being planned for.
Why can recovery take longer than the outage that triggered it?
Restoring power, cooling, or a provider API does not automatically return every affected workload to a healthy state. Systems may need to restart, validate data, rebuild replicas, drain queues, or process telemetry that accumulated while services were unavailable. The Azure timeline illustrates those separate stages: cooling stabilized before most compute, storage validation, and telemetry-backlog processing were complete.
The Google power incident likewise had varied service effects and durations. Google reported that engineers diverted traffic for some services without zonal dependencies and bypassed the failed UPS to restore generator power. Some high-availability instances failed out of the affected zone, and some customers could fail over to other zones. Those outcomes do not mean every product or customer recovered on the same schedule.
For business planning, distinguish time to detect, time to initiate failover, time to restore useful service, time to reconcile data, and time to fail back. Set recovery time objectives (RTOs) and recovery point objectives (RPOs) for business services—not just infrastructure components—and test whether the chosen design can meet them under realistic conditions.
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A SaaS product’s visible interface rarely tells you where its dependencies sit or what happens when a provider, region, identity path, or vendor-operated service is unavailable. In a CIO interview about the lessons of an AWS outage, Deluxe’s chief information, technology and digital officer, Yogs Jayaprakasam, described adding SaaS hosting-location questions to intake and mapping shared-region dependencies. He also discussed extending joint disaster-recovery and cyber exercises to include cloud-region and third-party failures.
For every critical business service, record the dependencies that would matter during an outage:
- The application and its actual hosting locations, including regions or zones where known.
- Identity providers, authentication methods, DNS, network paths, and credentials required to reach or administer it.
- Data stores, replication arrangements, backups, and the consistency requirements for recovery.
- Provider APIs, management consoles, deployment systems, developer tools, and collaboration platforms needed to diagnose or restore service.
- Vendor support and escalation paths, including a way to contact the vendor if normal portals or identity services are unavailable.
- Business owners, technical responders, decision-makers, and the service priorities that determine recovery order.
Where a vendor cannot confirm a dependency or hosting detail, record that uncertainty and plan around it rather than treating the dependency as independent.
Which recovery architecture fits the failure you need to withstand?
There is no universal case for active-active multi-cloud. The appropriate design depends on the business service’s RTO and RPO, the failure domain to cover, data behavior, and whether people and tools can operate the recovery path. Compare options against those requirements rather than treating additional regions or providers as resilience by themselves.
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| Approach | Failure domain it can address | Questions to resolve |
|---|---|---|
| In-zone or service-level recovery | A process, instance, or service failure within the existing location. | Does the recovery mechanism share the same infrastructure or control plane as the failed component? Can it meet the service’s RTO and RPO? |
| Multi-zone design within one region | Some zonal failures, when the workload and its dependencies are designed to fail over. | Are data, identity, routing, and management access available outside the affected zone? Does the provider’s logical zone mapping correspond to independent physical failure domains? |
| Geographically separate region | Some regional failures, if required application, data, identity, and operating dependencies are also available there. | How will data be replicated and reconciled? What consistency trade-offs apply? Can responders operate the secondary region if the primary region’s management path is unavailable? |
| Alternative provider or SaaS contingency | Some provider-wide or vendor-service failures, if the business can continue through a genuinely independent alternative. | Are identity, data, integrations, credentials, and staff procedures independent? Can users switch safely, and how will updates made during the disruption be reconciled? |
For mission-critical workloads, Microsoft recommends considering a multi-region geographic-diversity strategy and evaluating geo-redundant or read-access geo-redundant storage. Its guidance is vendor advice, not a requirement for every workload. A second region helps only if the application’s data strategy, recovery procedures, access paths, and operational capacity make it usable during the planned failure.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should a CIO test the recovery plan?
- Prioritize business services. Identify the processes that must continue, their owners, acceptable interruption, and tolerable data loss. Assign RTOs and RPOs that reflect business impact.
- Map each service’s dependencies. Include hosting locations, identity, network and DNS, control-plane APIs, storage, SaaS, developer and collaboration tools, and vendor support.
- Choose a specific failure scenario. Test a lost zone, regional outage, provider API failure, unavailable identity path, or third-party SaaS interruption. Do not assume one scenario represents all outages.
- Verify independence before relying on failover. Check replication and consistency, routing, credentials, DNS, management access, and the staff and tools required to execute recovery. Confirm how failback will work.
- Exercise the people and vendors involved. Run cloud-region and third-party-tool scenarios alongside cyber and disaster-recovery exercises. Include alternate communication and escalation paths.
- Record observed performance and fix the gaps. Measure detection, decision, failover, restoration, data validation, and failback. Update the dependency map and procedures when tests or provider changes reveal assumptions that no longer hold.
What can provider incident reports tell you?
Incident reports help identify failure modes, recovery sequences, and provider actions; they do not establish what every customer experienced. Read the scope and timeline alongside your own architecture, and distinguish provider-wide milestones from the availability of your particular resources and business service.
AWS says it publishes a public Post-Event Summary after qualifying issues with broad, significant customer impact. Its stated criteria include significant control-plane API-call failure, impact to a significant percentage of service infrastructure, resources, or APIs, total power failure, or significant network failure. AWS says these summaries cover scope, contributing factors, and actions taken, and remain available for at least five years. Its archive includes a summary for the October 19, 2025 DynamoDB disruption in Northern Virginia. The policy and archive establish AWS’s publication approach; they do not, by themselves, establish that incident’s root cause or specific customer consequences.
Provider transparency is useful input to continuity planning, not a substitute for testing whether your own recovery path works.
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