Progressive rollouts
Also written: Phased rollouts, Canary deployments
Gradually releasing updates to more users over time, monitoring for issues at each stage.
Progressive rollouts mean releasing a new software update or feature to a small group of users first. If everything works well with that small group, the update is then released to a larger group, and so on. This process continues until all users have the update.
This method helps catch problems early before they affect everyone. For example, a company might release a new app feature to 1% of users. If no major bugs appear, they might increase it to 5%, then 20%, and eventually 100% of users.
Progressive rollouts, also known as phased rollouts or canary releases, involve deploying new software versions or features incrementally to subsets of users. This strategy allows for real-time monitoring of system performance, stability, and user feedback at each stage. The rollout progresses through defined percentages or user segments, with the ability to halt or roll back if critical issues are detected, minimizing the impact of potential bugs or regressions.
Meta's recent discussion highlights the critical role of progressive rollouts in managing complex AI systems. Safely deploying system changes in seconds requires robust mechanisms like progressive rollouts to prevent widespread failures.
- 84: Trust But Canary: Configuration Safety at ScaleMeta · Meta Tech Podcast ·
- Meta Meta AI
- Meta uses progressive rollouts to safely deploy system changes and new features, ensuring stability and user experience across its platforms.
- A/B testing
- A/B testing compares two versions of a feature to see which perform
- Canary releases
- Canary releases are a type of progressive rollout where a new v
- Feature flags
- Feature flags allow developers to turn features on or off dynamic
The concept of progressive rollouts evolved from software development practices aimed at reducing deployment risks. It's a standard practice in modern DevOps and cloud computing.
You can observe a form of progressive rollout when a popular app on your phone gets a new update. Check the app's update history or release notes to see if it mentions a phased rollout. Sometimes, you might get a new feature before your friends do.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- WorkflowGenerate Kubernetes canary deployments from IDE promptsUse natural language prompts in an IDE to generate full canary deployment workflows to Kubernetes. · 20 min
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- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
Questions people ask
- Why not just release updates to everyone at once?
- Releasing to everyone at once risks a widespread outage or major bug affecting all users. Progressive rollouts limit the impact of any issues to a smaller group.
- How do companies know if an update is safe?
- They monitor key metrics like error rates, system performance, and user feedback during each stage of the rollout. If metrics are good, they proceed; if not, they stop or roll back.
First seen on Subvolts Apr 2, 2026. Updated Sep 17, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.