Case Study: Poka achieves faster, more predictable releases with LaunchDarkly

Poka goes “flag-first” to transform its release processes and AI innovation

Poka adopted a “flag-first” approach with LaunchDarkly to improve its release process and support AI innovation. Before LaunchDarkly, the team needed more predictable, lower-risk deployments and a better way to roll out features to customers without causing major incidents.

Using LaunchDarkly, Poka implemented cohort-based deployments, monthly release planning, and the ability to switch AI models and adjust prompts quickly. LaunchDarkly helped Poka triple deployment frequency, reduce incident response from hours to minutes, and achieve 19 consecutive releases without impactful incidents, while also accelerating its AI feature development.

Poka

Marc-Alexandre Bérubé

Director of Engineering