Better Together with Harness: Deploying a feature and releasing it are two different things. | On-demand Webinar | Harness Resources
Webinar: On-Demand
Webinar: Upcoming Event
AI is shipping features faster than teams can validate them. The old model, deploy to everyone and monitor for fires, doesn't scale when the pace accelerates by 10X.
The fix isn't slowing down. It's separating deploy from release.
Code ships dark. Features turn on deliberately, to the right users, with automated guardrails that roll back without waking anyone up. And every experiment ties directly to the deploy that shipped it, so when something regresses, you know exactly why. When something works you know the impact to the business.
What you'll see:
Feature flags managed inside the same platform as your CD pipeline, no separate tool, no separate access model
A live controlled rollout: 5% of users, automated kill switch, experiment results in real time
AI recommending rollout strategies based on your historical experiment data
OPA flag lifecycle policies that prevent flag debt before it accumulates
Who this is for: Product engineers, engineering managers, and product management teams who want to move faster without exposing every user to every change.
In this webinar, we’ll show how the new Harness Feature Management and Experimentation (FME) support for Harness Policies helps teams bring governance to feature delivery without sacrificing velocity.
In this talk, we will dip our toes into the world of feature flags, beginning with an overview of what feature flags are, how to think about them and why both engineers and business users find them valuable.
Read “Control and Velocity in Production: Combining CI/CD and Feature Flags,” to learn how the combination of CI/CD and feature flags can result in greater control and velocity in production.
In this live session, we'll explore how platform teams are using Internal Developer Portals (IDPs) to bring consistency to CI/CD without slowing teams down.