Executive Summary

Both clouds appear healthy, yet your customers cannot complete a transaction. Your teams investigate separately, with no clear owner to coordinate recovery.

The gap is accountability—not infrastructure. Without clear decision-making authority, recovery stalls and customers remain affected.

Connect with Scalence’s cloud experts to define outage ownership and test recovery for your most critical customer journey.

You might add a second cloud to your SaaS platform to reduce outage risk. The idea seems solid: if one provider has an issue, the other should keep your customers up and running.

But when something fails, it is rarely obvious where the problem is.

A customer might not be able to finish a transaction even though both cloud providers seem fine. Your teams start checking different parts of the platform, but switching traffic gets delayed because no one is sure if it will fix the issue.

Here, the real problem is not a lack of infrastructure; it is the absence of accountability.

Why Multi-Cloud Blurs Accountability

To start, let’s understand how multi-cloud environment blurs accountability.

Moving your platform to a different cloud service changes the location where it operates, but it doesn’t alter the party that is responsible to your customers if the product stops working.

Building resilience is a shared job. You are still responsible for how you design and run your workload, including recovery plans and when to switch over. Adding another provider does not remove those duties.

For example, consider a failed checkout. The team looking at cloud A observes normal app performance, while the team looking at cloud B notes normal infrastructure performance. Yet the payment service that is used in both clouds is timing out. Although all the dashboards may be accurate, none of them answers the customer’s real question: ‘Can I complete my purchase?’

Why?

Because each provider offers a different perspective, managing boundaries becomes harder. Each has its own alerts, dashboards, and support methods. During an outage, your teams may have to check multiple dashboards but still won’t know what customers are actually experiencing.

Build an Outage Ownership Model Before You Migrate

A clear way of establishing accountability is to assign four roles in each instance of an outage:

1. Dependency owner: Has a deep understanding of service reliability for every customer journey.
2. Incident commander: Leads the response and keeps teams across providers working toward one decision.
3. Recovery owner: Decides how to restore service and checks that the fix works for customers.
4. Customer communications owner: Keeps affected customers informed about the impact and recovery progress.

They may be different individuals, but the roles are not always distinct. In small teams, one person may cover more than one role. What matters is allocating responsibilities beforehand and ensuring each owner knows the decisions they must make.

The model should also go beyond your organization chart, since an incident may involve engineers, customer support, a cloud provider, and a third-party vendor; your plan must tie these groups together around a single customer outcome rather than having each look into its own system.

So, here is an actionable plan to choose:

Map Dependencies to Owners

List all the services this journey uses across different clouds and external parties, and assign an internal owner to each one. This owner should keep records of the customer impact, escalation contacts, and workarounds, even when the service is operated by a third party.

It is important to make the shared dependencies clear, since copying the application does not include all of the things it depends on.

Define Incident Roles

Designate an incident commander to lead the response, a recovery owner to manage changes, and a communications owner to keep customers informed. Ensure that each of these people has a backup and has clearly defined authority.

In the event that cloud A fails, the team should know who is responsible for approving the diversion of traffic, who is in charge of checking whether cloud B is ready, and who is in charge of explaining the impact.

Write a Cross-Cloud RACI

Apply a RACI chart to determine who is Responsible for each task, who is Accountable, who needs to be Consulted, and who should be Informed about updates.

Concentrate on important decisions such as declaring an incident, opening provider cases, approving a failover, checking the data, and sending messages to customers. Ensure one internal position remains accountable for the SaaS response, even if the provider handles the root cause.

Align SLAs (Service-Level Agreement)

The service-level agreement of a provider applies only to their particular service and not to the entire customer journey. Check which parts of your journey depend on different services, and consider how long it might take to detect and recover from problems.

For instance, a shared identity service could affect both clouds. When setting customer promises, you must base them on what you can actually deliver and test, not just on the best uptime figure offered in the provider’s contract.

Monitor From the Tenant’s Point of View, Not the Provider’s

After you have established who is responsible for the response, give them useful information. Although a provider’s status page can assist with the investigation, it won’t inform you whether a particular tenant can log in, place an order, or access current data.

External updates may appear after your customers have already detected an issue. In November 2025, Cloudflare noted that its own externally hosted status page failed during a serious outage. Cloudflare said this was a coincidence and not due to its dependence on the affected systems.

Yet this example shows why you should not depend on a single external status page.

Rather, create one unified view of your cloud environments. You can use OpenTelemetry to collect traces, metrics, and logs in a standard way and then forward them to your observability system; OpenTelemetry isn’t the dashboard itself, but it lets your teams compare signals across environments.

Before selecting a dashboard, decide which metrics matter from the customer’s perspective.

The shift: Cloud health tells you where to investigate. Customer journeys tell you when to respond.

Make Resilience an Owned Outcome

While a multi-cloud setup gives you more options in the event of a failure, it doesn’t clarify which cloud is safe, who makes the decision, or whether the customer experience will be restored.

You must answer those questions before you begin the migration.

At Scalence, we start with one important customer journey, clarify its dependencies and owners, and test recovery decisions before expanding. This gives your team a response they can actually use, not just a second deployment that looks good on paper.

If you are planning to move to multi-cloud, consult our cloud experts to compare your most important journey to this ownership model.

FAQs

Does multi-cloud prevent SaaS outages?

No. A second cloud can provide another place to run your application, but customers may still depend on shared services such as identity, payments, data, or traffic routing. Resilience depends on the full customer journey and a tested recovery plan, not simply the number of providers you use.

What is a shared dependency in multi-cloud?

It is a service both cloud deployments need to deliver the same customer journey, for example, a single identity provider or payment integration. If it fails, moving traffic between clouds may not restore the journey. Map shared dependencies before you assume a second deployment provides an effective fallback.

When should you fail over to the second cloud?

Fail over when the affected journey has a tested, usable path through the second cloud and the expected benefit outweighs the risks of switching. Check shared dependencies, data readiness, and how you will verify recovery. A traffic switch is not a fix if customers encounter the same failure in the destination cloud.

What should you monitor across clouds?

Monitor whether tenants can complete critical journeys, such as logging in or checking out. Combine that view with application and infrastructure signals from each cloud. There are many tools available like OpenTelemetry which can help collect traces, metrics, and logs consistently, but your team still needs to define the customer outcomes those signals support.

Why do synthetic checks and real-user monitoring together?

Synthetic checks test important tasks regularly, including when few customers are active. Real-user monitoring shows what people encounter in practice. Looking at both by tenant, region, and serving cloud helps you distinguish a localized cloud issue from a failure affecting a shared customer journey.