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To rotate an API key without interrupting production, create a replacement key first, give it the same permissions and restrictions, deploy it to every consumer, verify real requests and telemetry, and only then revoke or delete the old key. This overlap is the safety margin. A dashboard’s Rotate command is not a universal standard: some providers invalidate the old value immediately, while others schedule revocation or allow two active keys. Calling it before the replacement is live can therefore produce authentication failures, broken jobs, and an avoidable outage.
The procedure below applies to scheduled rotations and explains the faster, more disruptive path required when a key may already be exposed.
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Why is creating the replacement key safer than pressing Rotate first?
API-key rotation is a handoff between credentials. The old value must continue working long enough for every application, worker, deployment job, function, and monitoring process to receive the new one. Creating the replacement first creates that overlap window; revoking first removes it.
The word rotate has no consistent industry meaning. One provider may create a new key and leave the old key active. Another may revoke the old value as soon as you click. A third may let you choose a delayed revocation period. Treat the button as a provider-specific operation, not as a guaranteed zero-downtime workflow.
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Even a carefully planned overlap cannot promise that literally no request will fail. A missed consumer, a stale secret-cache entry, an invalid restriction, or an incomplete rollout can still cause errors. The goal is to make the transition reversible and observable, then remove the old credential only after evidence shows that production has moved.
How do I rotate an API key without downtime?
Use this sequence for a planned change. Keep the old key valid until the verification and observation steps are complete.
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1. Inventory every consumer
Search backend environment variables, CI/CD secret stores, scheduled jobs, serverless functions, container definitions, infrastructure code, monitoring and alerting pipelines, data-export scripts, and local development configuration. Record the owner and deployment path for each consumer. Google Cloud’s key-management guidance specifically calls for updating applications before deleting old keys.
Do not assume the main application is the only user. A forgotten migration job or a dashboard integration can be the first component to fail after revocation.
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2. Create a replacement with equivalent controls
Assign the same least-privilege scope, API restrictions, service-account association, allowed origins or IP ranges, and expiry policy. If the new key has broader permissions, the rotation becomes a privilege change as well as a credential change; review it separately.
Check the provider’s limit on active keys and its deletion behavior before creating anything. Confluent’s service-account model, for example, permits multiple active API keys, which is designed for an overlap.
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3. Store both values in a controlled secret store
Put the replacement in the same approved secrets manager or equivalent protected store used by the application. During the transition, label the values clearly, restrict read access, and prevent them from appearing in source control, build logs, URLs, browser code, or mobile application bundles.
Google Cloud warns that query parameters expose keys more readily than headers or client libraries. Send the credential through the provider’s documented header or SDK mechanism, and redact it from request and error logs.
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4. Deploy the replacement everywhere
Roll out the new value in a controlled sequence. Update each environment, worker pool, function version, and automation job, then restart or reload processes that cache environment variables at startup.
Where the application design permits, try the new key first and retain the old key as a temporary fallback. A fallback should be time-limited and observable; otherwise it can hide an incomplete migration and leave the old credential active indefinitely.
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5. Verify real traffic before revocation
Make an authenticated test request through the same code path production uses. Check response status, authorization errors, latency, retry counts, and rate-limit behavior. Inspect the provider’s usage, last-used, or request telemetry for evidence that the new key is serving traffic.
Continue monitoring for an observation period that covers infrequent consumers, such as nightly jobs or weekly exports. Revolut advises testing and monitoring during the overlap, while Paddle advises confirming that the old key is no longer used before revoking it.
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6. Revoke or delete the old key
Once telemetry and the consumer inventory show that the old value is unused, disable or revoke it according to the provider’s procedure. Remove it from the secret store and any remaining configuration. Google Cloud’s service-account sequence is to create, replace, disable and monitor, then delete the replaced key.
After revocation, watch authentication errors and job outcomes for at least one normal operating cycle. If a forgotten consumer appears, fix its configuration and issue another replacement rather than reusing a credential that has already been removed.
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7. Record the change
Log the key owner, purpose, creation timestamp, scope, restrictions, expiry, deployment status, verification evidence, revocation time, and the person or system that approved the change. Keep enough detail to prove which credential was active during an incident without storing the secret value itself.
Can two API keys remain active during deployment?
Only if the provider supports it. Two active keys are the simplest way to create an overlap, but active-key limits, account types, and revocation semantics vary.
| Provider or model | Documented behavior | What it means for a rotation |
|---|---|---|
| Confluent service accounts | Multiple active API keys are supported for a service account. | Create the replacement, deploy it, and remove the old key after verification. |
| Revolut console | Old-key revocation can be immediate or scheduled for 24 hours, 3 days, 7 days, or 14 days. | Select a grace period that covers your rollout and monitoring window; confirm the selected timing before saving. |
| Supabase legacy JWT secret | Regenerating the legacy JWT secret immediately invalidates current API secrets and severs connections. | Do not treat regeneration as a normal overlap rotation; plan migration to newer API keys where applicable. |
| Google Cloud API keys | Guidance is to create new keys, update applications, then delete old keys; service-account guidance adds disable and monitor before deletion. | Use an explicit create, deploy, verify, disable, monitor, delete sequence rather than deleting first. |
If your provider allows only one active key, schedule the cutover during the lowest-risk period, pre-stage the new value in every deployment artifact, and have a rollback plan that does not depend on reactivating a credential the provider permanently destroyed.
What can a provider’s Rotate button actually do?
Read the provider’s current documentation and the confirmation dialog before using a one-click action. “Rotate” may create a replacement, revoke immediately, schedule revocation, regenerate a shared secret, or perform several of those operations together.
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- Old-key status: Does the old key remain active, become disabled, or get deleted?
- Timing: Is revocation immediate, delayed, or configurable?
- Overlap limit: How many active keys can the account hold?
- Telemetry: Can you see last-used time, request counts, error rates, or consumer identity?
- Recovery: Can a disabled key be re-enabled, or must you issue another replacement?
- Secret integration: Can the key be delivered safely through your secret manager and deployment system?
- Emergency behavior: Is there a separate immediate-revocation path for a suspected leak?
Provider labels and features change. Documentation for the workflows above was current on October 21, 2026; verify the exact console behavior for your account and region immediately before a production change.
How do I verify that the new key is really in use?
Verification should combine an application-level request with provider-side evidence. A successful command from your laptop alone does not prove that every production consumer has switched.
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- Send a normal authenticated request through the deployed application, not just a direct dashboard test.
- Check successful status codes and inspect latency, retries, throttling, and authorization scopes.
- Review key-level last-used timestamps or request telemetry, if the provider exposes them.
- Search logs and traces for authentication failures without printing the key itself.
- Run or wait for infrequent jobs, queues, functions, and monitoring checks identified in the inventory.
- Confirm that the old key’s usage has stopped before revocation; an old-key request after deployment identifies a consumer that still needs attention.
Choose an observation period based on your least-frequent consumer. A system with a nightly export needs at least one successful export cycle; a continuously running API may need a shorter, but still deliberate, window.
What should I do if an API key is exposed?
Do not wait for a normal overlap if a credential may be public, logged, committed, or sent to an unintended party. Containment takes priority over preserving traffic.
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- Revoke or disable the exposed key immediately. OpenAI, Revolut, and Paddle all instruct immediate action for compromised credentials.
- Issue a replacement with least-privilege permissions and corrected restrictions. Do not copy an exposed value into a new system unchanged.
- Deploy the replacement to production and all automation as quickly as possible.
- Investigate use of the exposed key. Review provider request logs, unusual destinations, elevated error rates, and unexpected cost or quota consumption.
- Rotate adjacent secrets if the exposed key was stored beside database passwords, signing secrets, or other credentials in the same compromised system.
- Document the incident with timestamps, actions, affected services, and evidence preserved for security review.
This path can cause a brief outage for consumers that have not yet received the replacement, but leaving an attacker’s credential active creates a larger and less predictable risk.
How should deployments handle fallback and rollback?
A temporary dual-read design can reduce risk when you control the client code. Configure the application to attempt the new key first, detect an authentication failure that specifically indicates an invalid credential, and retry once with the old key. Emit a metric identifying fallback use, but never log either secret.
Keep fallback bounded by a deadline or feature flag. If the new key has a wrong scope or restriction, unrestricted fallback can make the deployment appear healthy while every request still uses the old credential. Before revocation, the fallback metric should be zero for the full observation window.
Rollback is safest before revocation: restore the previous configuration while both keys are valid, correct the new key’s permissions or restrictions, and redeploy. After the old key is deleted, issue another replacement rather than assuming the provider can restore the deleted value.
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There is no provider-independent interval supported by the documented guidance. Set a schedule based on your organization’s risk policy, key exposure surface, provider expiry controls, and the effort required to inventory consumers.
Use shorter intervals for high-impact credentials, broad scopes, third-party integrations, or environments where secrets frequently pass through operators and build systems. Whatever interval you choose, test the runbook before an emergency so owners, telemetry, and deployment paths are known.
Why did rotating my API key break production?
Most failures come from a missing consumer, a provider action that revoked immediately, or a replacement key whose restrictions do not match the old one.
The application still reports authentication errors
Check whether the process loaded the updated secret or requires a restart. Confirm the new key’s project, service account, scope, IP or origin restrictions, and expiry. Then compare the failing component with the consumer inventory.
Only a background job or function failed
Look for independently managed schedules, old function versions, container revisions, and CI/CD variables. Trigger the job manually after updating its secret, and verify that its deployment actually replaced the running instance.
The old key was revoked before deployment
Issue a replacement immediately, update every consumer, and monitor errors while the rollout completes. If the provider supports delayed revocation or multiple active keys, use those features for the next change; if it does not, plan a coordinated cutover.
Connections dropped after secret regeneration
Some systems invalidate tokens or connections derived from a shared secret, as documented for Supabase’s legacy JWT secret. Reconnect clients with the supported migration path rather than repeatedly regenerating the same secret.
What should an auditable rotation record contain?
Keep a small, access-controlled record separate from the secret value. Include the service and owner, purpose, environments, old and new key identifiers (not the values), permissions and restrictions, creation and expiry times, deployment approvals, verification metrics, observation window, revocation evidence, and any exceptions or incidents.
This record lets an on-call engineer answer which consumers were covered and which credential was active without searching source code or exposing a secret during an incident.
Frequently Asked Questions
Can I rotate an API key during a deployment freeze?
Yes, if the replacement can be staged and validated without changing application code. Store it in the approved secret system, schedule the activation for an approved window, and obtain the same change approvals required for any production credential update.
Should I put the old and new keys in the same environment variable?
No. Keep them as separately named secrets or versions so access, auditing, and removal are unambiguous. Application fallback logic should select between those references, never parse a comma-separated value or expose both in logs.
How can I test rotation without touching production?
Create a non-production key with the same scopes and restrictions, point a staging deployment at it, and exercise scheduled jobs and serverless paths there. A staging success does not replace production telemetry because account limits, network restrictions, and consumer inventories can differ.
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What telemetry proves a key is safe to revoke?
Use provider-side last-used data or key-specific request counts together with application logs, error rates, and successful completion of infrequent jobs. The strongest signal is zero old-key use across the entire observation window, not merely one successful request with the replacement.
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