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Feature flag use cases: Rollbacks

Why Rollbacks Are Important for Modern DevOps

Rollbacks are essential in modern DevOps for quickly reverting to a previous stable state when new changes cause issues. They provide a safety net that ensures system stability and minimizes the impact of problematic deployments on users.

Enhance Reliability

Quickly revert to a stable state

Minimize downtime

Reduce the duration of system disruptions

Improve confidence

Provide a safety mechanism for deployments

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Challenges and best practices for rollbacks

Challenges:

Rollback Quickly:  How do you roll back problematic features faster than it takes to deploy patched code?

Automate rollbacks: How do you automatically roll back misbehaving features based on system telemetry?

Kill switches: How do you manage access controls and audit logs related to kill switches to ensure security and compliance?

Best Practices:

Automated rollback mechanisms: Implement automated rollback processes to quickly revert to known good states, reducing manual intervention and response time.

Implement change requests approvals: For sensitive changes, implement change requests so rollbacks and kill switches are approved by the appropriate chain of command in your SRE org.

Audit log everything: Collect and maintain extensive audit logs to ensure you know who changed what and when.

How Unleash enables instant, automated rollbacks

Unleash allows you to roll back any feature instantly with the click of a button or fully automated via our API. Rolling back features at runtime instead of relying on a code deploy is faster and reduces downtime and poor user experience that happen when features are misbehaving.

instant-feature-flag-rollback

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As VP of Sales at Unleash, I’ve had the honor of engaging with Fortune 500 enterprises that are adopting the DevOps mindset so they can outcompete their large established peers and an increasing number of smaller but more nimble upstarts. It’s a red ocean out there, and the most forward-looking organizations realize that feature management […]