Overview#
This project treated delivery as a confidence workflow rather than a single deployment event. Each stage in the release path had a clear purpose, observable state, and rollback-aware boundary.
Problem#
Existing pipelines were fast enough for simple releases but not clear enough when production risk increased. When checks failed or rollout health degraded, it was not obvious where the release was blocked or what the next safe action should be.
Solution#
I split the workflow into explicit build, verify, sign, promote, observe, and production stages. That structure made the release path easier to explain and easier to trust under pressure.
Architecture#
Tech Stack#
- AWS ECS Fargate
- Jenkins
- Terraform
- Docker
- ECR
stages: - build - verify - sign - promote-staging - observe - promote-productionKey Features#
- Signed artifacts before promotion.
- Clear environment promotion boundaries.
- Observation windows before auto-promotion.
- Rollback-ready release design.
Media#
Results#
The system reduced ambiguity around rollout state and made production promotion more operationally calm. Teams could see where trust was being established rather than assuming the pipeline had everything under control.
Lessons Learned#
The delivery system became more valuable once its state transitions were explainable. Reliability improves when pipeline behavior is explicit enough for teams to reason about it together.