“Rollback” can mean two different things during a Node.js marketplace incident: switch off a guarded feature at runtime, or restore the application to an earlier deployed revision. A feature flag can contain a problem only when the faulty behavior is safely guarded; it does not undo deployed code, database writes, or schema changes. Use the narrowest safe control first, then restore the service revision if the release itself is defective or the flag cannot recover service.
How do I roll back a Node.js release?
Start by stabilizing the incident and identifying its scope. Check which marketplace journeys are affected—such as listing, search, checkout, payment, or seller operations—and record the deployed revision, when symptoms began, relevant error and latency signals, and any flags involved. Use your service’s own SLOs and alert policy to judge severity; there is no universal threshold that fits every marketplace.
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Then choose between a runtime feature change and a deployment rollback. If the incident is isolated to a fully guarded feature and its disabled path is safe, turn off or narrow the flag and verify both propagation and fallback behavior. If the release has defects outside that feature, the flag does not contain the fault, or service does not recover, restore a known-good application revision through your deployment platform. Some incidents require both actions.
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How do I turn off a feature flag in production?
Confirm the feature is safely guarded
For a Node.js service, use a server-side flag SDK for server-controlled marketplace decisions. The guard should cover the whole feature path, including relevant writes and side effects—not just the UI or a single entry point. Define a safe default for evaluation failures, scope targeting to the production environment and, where appropriate, an affected cohort, and exercise both enabled and disabled paths before release. Follow the flag provider’s current setup guidance for the installed SDK version.
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A boolean kill switch disables a behavior; it does not restore a prior application build or reverse anything that the feature already changed. If the fault is only in a guarded feature and the fallback is acceptable, a flag can limit exposure without a redeploy. LaunchDarkly describes its flag control as a way to switch off a misbehaving feature without changing code or redeploying: Turning flags on and off.
Change the flag and verify the off path
- In the flag provider, select the production environment and the relevant flag. Turn it off or narrow its targeting to the affected cohort, depending on the scope of the incident.
- Check the flag’s configured off variation. LaunchDarkly notes that when no explicit off variation is set, the fallback value supplied to the code’s variation call is served. Confirm that this value leads to the intended safe behavior.
- Verify that the running service has received the new flag state and that the fallback path is actually serving marketplace traffic. LaunchDarkly cautions that traffic routed through a proxy can delay updates, so do not treat the dashboard change alone as proof of mitigation.
- Check affected journeys, errors and latency against your service’s own health signals. If the fault persists, or other parts of the release are implicated, proceed to a deployment rollback.
When should I restore the deployed application revision?
Roll back the service revision when the release itself is defective, the problem is not contained by a flag, or the flag’s fallback cannot restore an acceptable service. A feature toggle alters application behavior; a deployment rollback returns the service to an earlier revision. Neither should be assumed to reverse data writes or schema changes.
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The available mechanism depends on the deployment platform and controller. On Amazon ECS, failure-detection and rollback behavior has specific deployment-type and prior-deployment requirements; confirm the service’s controller and current AWS documentation before relying on automation.
How do I roll back an ECS deployment?
Enable automatic rollback for supported deployments
Amazon ECS supports deployment failure detection through the deployment circuit breaker and CloudWatch alarms, with automatic rollback when configured. AWS documents these methods for supported rolling update and blue/green deployment types. The circuit breaker is specifically for rolling update services using the ECS deployment controller; it judges failure by whether the deployment reaches steady state and can roll back to the most recent deployment in COMPLETED state.
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Rollback requires a prior completed deployment. If none exists, the circuit breaker has no completed revision to restore and the deployment can stall. AWS explains the circuit breaker and failure-detection conditions in its ECS deployment failure detection documentation and DeploymentCircuitBreaker API reference.
Automatic rollback reports deployment state; it does not establish that the marketplace is healthy. Validate application behavior independently after the deployment reaches its reported state.
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Use the manual recovery path if automation did not trigger
AWS announced the ECS stopDeployment action on May 5, 2025, as a way to roll a service back to the last revision that reached steady state. The announcement said it was available through the console, API, SDK, and CLI in all AWS Regions at that time. Before using it, check the current AWS announcement and API documentation, and confirm that the service’s deployment controller supports the behavior you need.
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Track the ECS deployment state alongside application-level health. AWS recommends monitoring the EventBridge SERVICE_DEPLOYMENT_FAILED event so teams can act on failed deployments; see the ECS deployment circuit breaker guidance. After rollback, exercise the affected user journeys and review errors, latency, flag state, and deployment state before declaring recovery.
Will a rollback undo database writes or schema changes?
No. Turning off a flag or restoring application code does not, by itself, undo data written by the release or reverse a database migration. Determine separately what changed, whether the previous revision remains compatible with the current schema and data, and what recovery is safe. Avoid treating a database restore as automatic or harmless; it can discard valid writes made since the change.
For a staged transition between old and new systems, migration flags can coordinate reads and writes by migration stage and designate which system is authoritative at each stage. LaunchDarkly documents server-side Node.js support and this staged approach in its migration flags documentation. These flags coordinate application behavior; they are not an automatic database restore.
Quick Recap
What should the incident record and follow-up include?
- Record the release revision, onset time, affected journeys, observed signals, flag changes, deployment actions, and the known user impact in a timeline.
- Communicate whether mitigation came from a flag change, a revision rollback, or both.
- After service is stable, reproduce the issue, add regression coverage, and review the release checks that failed to catch it.
- Give temporary kill switches an owner and a documented fallback; remove them when they are no longer needed rather than leaving them as permanent, unowned controls.
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