Progressive Delivery
Progressive delivery is the practice of releasing changes gradually to expanding audiences while watching metrics, using feature flags and canaries to control exposure. It extends continuous delivery with release-time control.
What it means
Progressive delivery is an umbrella term for shipping changes in gradual, measured stages rather than all at once. Where continuous delivery gets code safely to production, progressive delivery governs who experiences that code and when. It combines two ideas: progressive rollout, where you expose a change to a growing percentage of users, and delegated release control, where the person who owns a feature decides when to widen it, independent of the deployment. Feature flags, canary releases, and automated metric analysis are its building blocks.
Why it matters
Separating deploy from release is what makes fast, safe shipping possible. Because every change starts small and its impact is watched, regressions are caught while they affect a handful of users and can be reversed with a flag flip instead of a rollback. It also lets product and engineering coordinate launches without redeploys, run experiments on real traffic, and gate features by plan or region. The result is teams that deploy continuously yet release deliberately, keeping blast radius small and confidence high.
In practice
A progressive delivery flow might deploy code dark, enable it for internal users, ramp a canary from 1 to 100 percent while automated checks guard the metrics, and hold an instant kill switch in reserve. LaunchDarkly built much of its platform around this model, and Harness adds automated canary analysis in the pipeline. Read our progressive delivery guide for a stage-by-stage playbook.
Related Terms
Learn More
Tool Reviews
Free Newsletter
Get the Feature Flags Newsletter
Platform benchmarks, real pricing data and progressive delivery practice. No spam.
LaunchDarkly
Harness