Progressive Delivery makes it easier to adopt Continuous Delivery, by deploying new versions to a subset of users before rolling them to the totality of the users, and rolling them back if not matching some key metrics, using techniques like feature flags and canary deployments.

For workloads running on Kubernetes it is very easy to adopt Progressive Delivery using Argo Rollouts. At Adobe Experience Manager we deploy over 10k customer services to Kubernetes. Changes can occur multiple times per day both internal and from code. A new feature can work fine for 99% of customers but still affect the other 1%, and detecting this just from tests is costly.

We will show how to implement a Progressive Delivery pipeline with Argo Rollouts to improve the reliability of the service and prevent regressions. It allows the protection of the service and automation of roll backs to a previous version if needed. This allows for faster delivery with more confidence.