Professional engineering case study
Improved Reliability of a Container Image Delivery Workflow
Improved container build, tag, validation, scanning, push and cleanup workflows for more predictable delivery behaviour.
CompleteSanitised professional case study
Context
Sanitised professional case study from a cloud-native delivery workflow.
Problem
Fragile input, reference and tag handling could produce confusing failures across a multi-step image workflow.
Approach
- Clarified workflow inputs and source-reference handling.
- Made image-tag propagation consistent across build, scan and push steps.
- Improved validation, cleanup and troubleshooting feedback.
Declared inputs move through validation, image build and tagging, security scanning, publishing and cleanup, with failures returning actionable feedback.
- Declared inputs
- Validate
- Build and tag
- Security scan
- Publish
- Clean up
Invalid input or failed validation returns actionable feedback before publishing.
Technical decisions
Validate before publishing
Early checks kept invalid state from travelling through expensive delivery steps.
Challenges
- Keeping derived image identity consistent across isolated CI steps.
Outcomes
- Made container delivery behaviour more predictable and easier to troubleshoot.
Lessons learned
- Explicit data flow is essential in multi-step delivery automation.
Technology stack
GitHub ActionsDockerCI/CDContainer registriesPrisma Cloud
Generic workflow names are used; no internal registries, images, repositories or credentials are disclosed.