A redesigned checkout button is meant to lift sales. A longer cache time to live (TTL) is meant to cut backend load. But until you test a change against real production traffic, decisions come down to intuition and whoever argues hardest, not evidence. With AWS AppConfig experimentation, you can make data-driven calls instead: using A/B testing, you expose a change to a slice of real users, measure what happens, and let the results decide. It’s part of AWS AppConfig, a capability of AWS Systems Manager, so there’s no separate platform to stand up.
Testing in a development environment confirms a change works, but not how real users or production workloads respond. Releasing to everyone at once answers that but exposes every user to any negative effects, such as broken checkout flows or degraded performance. An experiment is the middle ground: real production traffic, but only a controlled slice of it.
AWS AppConfig experimentation builds on AWS AppConfig feature…
