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.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What are fractional segments, and why are they effective?
Open an interactive chat with Bash
How does fractional segmentation differ from full environment duplication?
Open an interactive chat with Bash
What are some risks or challenges of using fractional segmentation?