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Spin-Up, Test, Tear-Down: How Trivago Runs Developer Preview Environments at Scale
When developers write software, they need a place to run and test their code. Preview environments empower engineers to validate changes safely, but running hundreds of them at once can blow away your cloud budget and operational sanity. At trivago, 200+ engineers build services around the clock, so a reliable, cost-efficient platform is crucial.
In this session, we’ll share how we designed our Kubernetes-based preview system for speed and efficiency, using KEDA to autoscale environments based on real demand. We’ll cover the architecture, challenges, and why Kubernetes and KEDA fit this use case, along with the right metrics and safety checks to keep the system reliable.
We collaborated with the KEDA community and maintainers to improve HTTP-based scaling—especially scale-to-zero—so it’s trustworthy at large scale. You’ll leave with concrete ideas and a blueprint for running preview environments at scale, supporting rapid delivery while keeping waste low with CNCF projects.
