Achieving Continuous Delivery with TPF
When production deployments are inconsistent and error-prone, many companies believe the best solution is to reduce production deployment frequency. They move to monthly or quarterly releases. Ironically, doing so increases risk.
The first step to solving this problem is making production deployments consistent, predictable, and reliable.
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When automating deployments, we propose changing how you introduce work into the deployment pipeline. That's where TPF comes in.
- T: Trunk-based development for making small incremental changes instead of long-lived feature branches.
- P: Progressive rollouts for frequent zero-downtime deployments of small incremental changes.
- F: Feature toggles to support multiple work streams and to get fast feedback in production to ensure the feature meets the user's needs.