By managing high traffic as his team’s main priority, Geoff needs to be strategic with everyday deployments. Check out this case study to learn what was successful:
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What you'll learn
Massive Increase in Deployment Frequency
The development team scaled their release cadence from two or three daily deployments to a record of 64. This was achieved by protecting every new deployment behind a feature flag.
Controlled Rollouts Prevent System Overload
Releasing features to a small percentage of users allowed the team to test back-end capacity in real time. If traffic overwhelmed the system, they could instantly dial the release back to zero.
Instant Updates and Rapid Rollbacks
Moving away from a slow internal tool enabled the team to update features in seconds rather than minutes. This rapid response time meant failing features could be killed before impacting the user experience.
Elimination of Customer-Facing Errors
Despite making more internal mistakes, the team achieved over four years without a single customer-facing error. Feature flags ensured that any flawed code was safely hidden from the end user.
Speed Creates System Resilience
The team proved that development speed and system safety are not mutually exclusive. Smaller, more frequent deployments actually reduced risk and gave developers the freedom to experiment safely.