A subscription-based SaaS provider needs to introduce a new analytics engine into production. To limit the blast radius of potential issues, the team wants to send only about 5 % of live user traffic to the new version, monitor key performance indicators, and then progressively scale the rollout if results are satisfactory. Which deployment strategy best satisfies these requirements?
A canary deployment routes a small, representative subset of production traffic to the new release while the majority of users continue to use the existing version. This controlled exposure allows real-world monitoring of errors, latency, and user experience. If the metrics remain healthy, the percentage of traffic directed to the canary is gradually increased until the rollout is complete. Blue-green uses two fully provisioned environments and swaps traffic all at once, rolling updates replace instances in batches across the fleet, and an in-place update takes the entire service offline while code is replaced-none of these initially limits exposure to only a few percent of users.
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What are key performance indicators (KPIs) in the context of a canary deployment?
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How does canary deployment compare to blue-green deployment?
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Why is limiting the blast radius important in software deployments?