What should I do when my cloud provider is down? First confirm which customer-facing workflows are failing, then check the provider’s public and account-specific health information against your own telemetry. Activate an incident lead and your runbook, decide whether to wait, apply a workaround, fail over or restore according to business impact and tested RTO/RPO targets, communicate confirmed facts through an independent channel, and validate applications and data before declaring recovery.
A provider incident is only one possible cause. Your deployment, credentials, DNS, quotas, network path or a recent application change can produce similar symptoms, while a provider can have a problem that affects only one account, project, region or workload.
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1. Confirm the business impact before choosing a technical response
Start with the user journey rather than the provider status page. Identify the exact function that is failing: sign-in, checkout, order creation, file access, reporting, internal operations or another business process. Record when the problem began and which customers, regions, plans or transactions are affected.
Check several signals
- Reproduce the failure from more than one network or location.
- Compare application error rates, latency, saturation and successful-request counts with normal baselines.
- Check dependency health for databases, queues, object storage, identity, DNS, networking and third-party APIs.
- Look for changes in deployments, credentials, firewall rules, certificates, quotas and configuration.
- Separate a single zone, region, account, project, service or application component from a wider failure.
Correlate timestamps across logs, traces, metrics and customer reports. Google Cloud’s incident guidance emphasizes synchronized timestamps because correlation becomes difficult when each system uses a different clock. Use UTC in the incident record so teams in different locations share one timeline.
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2. Check authoritative status channels and your own monitoring
A green public status page does not prove that your workload is healthy. Provider notices can lag, omit account-specific events or describe a broad incident without revealing the effect on your design. Keep watching your service while checking more than one provider channel.
AWS
Use the public AWS Service Health view for reported events across services and Regions. Then sign in to AWS Health for account-specific events, which can include the event name, affected Region, severity, timeline and impacted services. If the console or identity path is unavailable, rely on your own monitoring and any independently accessible provider feeds or contacts already included in your runbook.
Google Cloud
Use Personalized Service Health for disruptions relevant to your projects. Use the public Google Cloud Service Health dashboard for broad, severe incidents or as a fallback when personalized health is unavailable. Google documents API and RSS fallbacks for automation and recommends routing relevant events into dashboards and operational tools, filtered to critical services and locations. Remember that personalized health can depend on core services such as identity and access management.
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Azure
Use personalized Azure Service Health for targeted notifications, advisories and configured alerts. Microsoft’s public status page is intended for specified broad-impact cases or situations in which normal customer communications are impaired. A missing public notice should not override evidence from your application telemetry.
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Treat every status source as evidence, not a diagnosis. Capture the provider event identifier and timestamps in your incident record, but do not declare your application recovered merely because a provider page turns green.
3. Establish incident command and a reliable timeline
Name one incident lead with authority to set priorities and declare recovery. Assign separate owners for technical investigation, business decisions, customer communications and provider escalation. Keep a shared record that includes UTC timestamps, observations, decisions, actions, owners and links to logs or dashboards.
Keep operating if the normal tools fail
- Store runbooks, contact trees and status-page instructions outside the affected cloud account.
- Maintain an independent phone, messaging or email route for responders and executives.
- Keep emergency credentials and break-glass procedures documented and tested, without placing secrets in the runbook.
- Set an update cadence, such as every 30 minutes, even when there is no material change.
Plan for the identity service, console, DNS or collaboration system to be part of the outage. Google specifically documents public status and automated-feed fallbacks for a Personalized Service Health outage; the same principle applies to your own response tooling.
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Make the decision against business requirements, not instinct. Consider:
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- Business impact: Which functions are unavailable, and what customer, safety, contractual or regulatory consequences follow?
- Workload criticality: Is this a revenue path, a safety function, an internal tool or a low-priority batch job?
- RTO: How quickly must the function be usable?
- RPO: How much confirmed or potential data loss is acceptable?
- Dependencies: Can the alternate environment reach identity, DNS, data stores, payment systems and external APIs?
- Recovery-target readiness: Is the secondary stack healthy, staffed, sufficiently scaled and within compliance and data-residency rules?
- Provider forecast: Is there credible information about restoration, and how certain is it?
Possible actions include waiting for provider repair, applying a verified workaround, failing over within a region, moving to another Region, restoring from backups or switching to a manual business process. A Region outage is a disaster-recovery event for one architecture and a routine high-availability event for another. There is no universal requirement to use multiple clouds or automatic failover.
Include detection time in the RTO
Infrastructure restoration is not the whole recovery clock. AWS documentation gives this example: “If your recovery time objective is one hour, then you need to detect the incident, notify appropriate personnel, engage your escalation processes, evaluate information (if you have any) on expected time to recovery (without executing the DR plan), declare a disaster and recover within an hour.” Detection, notification, escalation, evaluation and declaration must therefore be practiced and measured.
Do not fail over on a weak signal
Failover can create a second incident through stale data, exhausted capacity, split-brain writes, broken dependencies or DNS propagation. AWS recommends health checks that represent the user experience, use multiple signals and avoid unnecessary failover. Google Cloud likewise advises verifying the secondary stack before shifting traffic. Confirm that the destination can serve real requests, accept writes safely, meet authentication requirements and handle expected load.
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5. Communicate confirmed facts to customers and staff
Use a channel independent of the affected workload whenever possible. Keep each update short and specific:
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- State which functions are affected.
- Describe who is affected if that is known.
- Give users a verified action, such as retrying later or using a documented manual route.
- Provide a workaround only after testing it.
- State when the next update will arrive.
- Label unknowns clearly and avoid guessing at cause or restoration time.
Provider recovery does not automatically mean your application has recovered. Say when the provider has reported stability, then separately report what your own validation shows. Keep internal and external audiences aligned without exposing sensitive investigation details or unsupported promises.
6. Validate recovery before closing the incident
Wait for sustained stability, then test the critical user journeys end to end. Check authentication, reads and writes, background jobs, integrations, notifications, billing and administrative workflows. Compare error rates and latency with the pre-incident baseline rather than relying on a single successful request.
Reconcile data and queued work
- Identify requests that failed, timed out or were acknowledged ambiguously.
- Replay or reconcile them with idempotent procedures so customers are not charged or fulfilled twice.
- Compare source and destination records, sequence numbers, queues and audit logs.
- Confirm backup and replication consistency before removing protective limits.
- Roll back temporary routing, throttling or feature flags in a controlled order.
Preserve the timeline, provider notices, dashboards and decision records. Conduct a blameless review that asks what worked, what failed, where the team was lucky and which playbook, architecture, tool or training change needs an owner and due date. Google recommends stability verification and a blameless postmortem; Azure publishes post-incident reviews for broad-impact events. Review the provider’s report when it becomes available, but do not wait for it to improve your own controls.
Recovery options and their trade-offs
Choose an approach by demonstrated capability, not by its label. The following comparison describes common patterns; actual RTO and RPO must be proven in exercises.
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| Approach | Typical recovery characteristics | Important risks and requirements |
|---|---|---|
| Wait for provider repair | Lowest change during the incident; recovery time follows the provider’s restoration. | Acceptable only when business impact and contractual obligations allow the uncertainty. |
| In-region redundancy | Can handle a zone or component failure quickly when dependencies are independent. | Does not protect against a regional control-plane or shared-service failure. |
| Warm or active alternate Region | Usually faster than restoring from backups because capacity and services are already prepared. | Higher operating cost, replication complexity, data-residency decisions and a need for tested traffic switching. |
| Backup restoration | Can recover a larger failure scope with lower ongoing cost. | Restore time and potential data loss may be greater; backup-job success does not prove that restoration works. |
| Cross-provider recovery | Can reduce dependence on one provider’s infrastructure. | Application portability, identity, networking, observability, licensing, staffing and compliance can make it difficult to operate under pressure. |
| Manual continuity process | Provides a fallback for essential customer or operational work when technology is unavailable. | Limited throughput and greater human-error risk; define reconciliation steps before using it. |
Microsoft’s business-continuity guidance frames redundancy, replication, failover and backups as risk and business-requirement decisions. Data location, regulatory duties, customer commitments, staffing and cost all constrain the viable design.
Prepare before the next outage
A usable plan is more than a diagram or a completed backup job. Build and exercise these controls:
- Classify each workload by the customer or business function it supports.
- Set realistic RTO and RPO targets that include detection, notification, escalation, decision and restoration.
- Map provider, identity, DNS, networking, data and third-party dependencies, including the failure scopes each workload must tolerate.
- Select proportionate controls: backups, replication, redundancy, alternate-Region recovery or manual procedures.
- Check data-residency, compliance, retention and cost constraints before an emergency.
- Make runbooks, contact trees, status sources and customer templates available outside the primary cloud account.
- Test break-glass access and independent communication channels.
- Restore backups regularly and measure secondary capacity; do not treat a green backup job as proof of recoverability.
- Practice traffic switching, data reconciliation and rollback with the people who will make the decision.
- Train business owners to declare an incident and approve customer-impacting trade-offs.
AWS states that incident detection, notification, escalation, discovery and declaration must be included in realistic recovery objectives. Google Cloud’s reliability guidance similarly emphasizes preparation, synchronized timestamps and practicing recovery steps. Exercises should record actual elapsed time and expose assumptions before a real outage does.
What a good outage decision looks like
During the event, keep the decision loop explicit: confirm the impact, gather independent evidence, state the business objective, verify the recovery target, choose the least risky action that meets that objective, communicate it and measure the result. If evidence changes, pause traffic movement or revert safely rather than defending an earlier decision. Close only after user journeys, data and dependent work have been checked and the follow-up actions have owners.
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