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Right now we have separate workflows in ADO for Staging and Prod and Prod is manually run.
If we combine the staging and production workflows into, one appending production onto the main workflow, we can verify a successful staging deployment and seamlessly deploy to production upon completion.
Pre-Conditions: - USTP ADO deployment workflow
Functioning production deployment with correct data connections
Acceptance Criteria: - Production workflow triggers upon successful completion of staging workflow
Staging failure prevents production deployment
Can still run production deployment separately
Ideally we would not build from the main GitHub Branch, and instead produce a build artifact after a successful staging run
Reduce cognitive load
-- Comb through library values and cull ones that we don't need
-- Update documentation on library values and purposes
Pain Avoided/Frustration Saved: - No longer have to manually trigger deployments for production
Puts checks in place to prevent an erroneous deployment of production
Breadth/Pervasiveness of Problem: - We shouldn’t have to manually deploy the production environment.
The deployment should be a continuous workflow
Complexity of Problem (Low, Medium, High) and Why it's Complex: - Complexity is: Low-medium
The reuse of the templates in this manner can be a bit complex
The text was updated successfully, but these errors were encountered:
Right now we have separate workflows in ADO for Staging and Prod and Prod is manually run.
If we combine the staging and production workflows into, one appending production onto the main workflow, we can verify a successful staging deployment and seamlessly deploy to production upon completion.
Pre-Conditions: - USTP ADO deployment workflow
Acceptance Criteria: - Production workflow triggers upon successful completion of staging workflow
-- Comb through library values and cull ones that we don't need
-- Update documentation on library values and purposes
Pain Avoided/Frustration Saved: - No longer have to manually trigger deployments for production
Breadth/Pervasiveness of Problem: - We shouldn’t have to manually deploy the production environment.
Complexity of Problem (Low, Medium, High) and Why it's Complex: - Complexity is: Low-medium
The text was updated successfully, but these errors were encountered: