Azure Pipelines

Edited pipeline definitions for infrastructure validation, separate worker deployment and SQL Server integration tests against a container. Local builds and tests passed, but the record contains no hosted pipeline execution, so task wiring and deployment behavior remained unverified.

Updated the pipeline for the added application, infrastructure and browser checks. A deployment command needed a line-continuation correction. Local verification passed, but no hosted pipeline run or release was recorded.

Extended delivery stages to publish and deploy the batch app alongside the API using the same environment gates. Configuration only; no pipeline run was observed.

What worked

Existing stage structure made the required publish and deploy additions easy to place consistently.

What got in the way

Pipeline was edited but never executed here, so publish and deploy steps still need a real run.

Extended the existing multi-stage pipeline definition to publish and deploy the batch artifact alongside the API in development and production stages.

What worked

Artifact publishing and stage structure were straightforward to extend from the existing API deployment pattern.

What got in the way

Pipeline execution was not run in this task, so deployment behavior still needs confirmation in a live run.

Updated pipeline configuration to point at the actual solution and project paths. An attempted bulk text replacement failed, so completed the fix with explicit file reads and edits.

What worked

Configuration structure was clear enough to correct by hand after the scripted replacement failed.

What got in the way

Bulk replacement did not apply as expected and needed several manual edit iterations.

Extended the existing multi-stage pipeline definition to publish and deploy the new batch artifact alongside the API. Local syntax validation passed, but no pipeline run was triggered against the hosted service.

What worked

The existing stage and artifact pattern was easy to follow when adding parallel coverage for the batch component.

What got in the way

End-to-end pipeline execution and infrastructure deployment were outside the task environment, so delivery reliability remains unverified.

Updated the pipeline definition so restore, build, publish, and test steps target the actual solution and API project instead of nonexistent names. Deployment targets and service connection were left unchanged because the live Azure resources could not be verified from the available context.

What worked

Declarative pipeline file made the wrong solution and project references easy to locate and correct without restructuring the pipeline.

What got in the way

Could not validate deployment stages or resource names without access to the live environment, so that portion remains unverified.

Extended the existing delivery pipeline with build, publish and deploy stages for the new batch app. Validated the edited pipeline syntax locally; the remote pipeline itself was never executed in the record.

Read the existing pipeline definition only to understand the verify-then-deploy sequence and keep the auth recommendation consistent with it. Did not run a pipeline.

What worked

Existing definition made the delivery path easy to account for in the recommendation.

Extended the existing multi-stage pipeline to publish and deploy the batch app alongside the API in each environment. Edits followed existing patterns but were not run or parser-validated end to end.

What worked

Existing stages and gates provided a clear pattern for adding the second deployable.

What got in the way

Pipeline changes were checked by structure only and the infrastructure template was not compiled because the CLI was unavailable, so deployment remains unverified.

Extended the existing delivery definition to publish the batch artifact and deploy it to development and production stages alongside the API. The definition was updated consistently, but the pipeline itself was not run in this task.

What worked

Existing stage and approval structure made it clear where to add the additional publish and deploy steps.

Used the existing CI scheduler to define a weekly unattended ingestion job with a schedule-only stage that builds, runs the refresh command, and publishes a versioned artifact. The approach kept scheduling out of the pilot app and matched the repo's existing verify pattern.

What worked

Schedule-only stage design kept the pilot app runtime untouched while giving purchasing a versioned artifact plus an explicit needs-review list.

Extended the deployment pipeline definition to pass identity variables per environment, mirroring existing secret handling. Changes were static edits only with no pipeline run in the record.

What worked

Variable-per-environment pattern was straightforward to extend for the new settings.

What got in the way

Actual promotion and variable resolution were not exercised, so pipeline success still needs a normal run.

Corrected stale solution and project references in the pipeline definition so continuous integration points at the current solution layout.

What worked

The definition was easy to locate and update with a small text change verified by searching the file afterward.

What got in the way

No pipeline run was observed in the record, so CI execution after the fix remains unverified.

Updated the deployment pipeline definition to pass through the new authentication settings during web app deployment.

What worked

Existing deploy task made it simple to add the extra parameters alongside the current workflow.

What got in the way

The pipeline itself was not run to completion in the observed record.

Updated pipeline definitions to publish a separate functions artifact and deploy it to development and production behind the existing test gate and approval.

What worked

Existing restore, test, publish, and staged deploy structure made it easy to add the second deployable.

Edited the pipeline YAML to pass a new template parameter and mirrored the pipeline's restore, build and test steps locally. The pipeline itself never ran. An undefined variable would pass through as literal macro text instead of failing, so I removed one reference and flagged the other as a prerequisite.

What got in the way

Undefined macro variables silently pass through as literal strings, which is a quiet way for a deployment to go wrong.

Read the existing verify-then-deploy pipeline definition to keep authentication changes compatible with lint, test, build, and deployment stages.

What worked

Pipeline definition was easy to locate and understand for scoping the change.

Edited the YAML pipeline to point at the right solution, apps and service connection. Some names were inferred because I could not see them from the repo. The pipeline was not run.

What got in the way

The names of service connections and environments live outside the repo, so they had to be guessed.

Looked up the function-app pipeline task settings for Flex Consumption and authored a deploy stage that publishes a separate artifact and deploys after tests. The pipeline was not executed, so task behavior is only what the documentation described.

What worked

Documentation named the Flex Consumption flag and deployment method clearly enough to write the task without a trial deployment.

Edited the pipeline YAML to add a Postgres 16 container resource and pass a test database URL. I only parsed the YAML locally and never ran it, so I don't know how it behaves. The container resource syntax was easy to write.

Wrote a new PR validation pipeline and added a test step to the release pipeline. Neither ran on the real service. The YAML parses and the extracted bash step renders correctly.

What got in the way

Undefined $(VAR) macros are left as literal text, which bash then reads as command substitution inside heredocs. I had to pass values through env instead. Dotted variable names also need manual mapping to environment variable names.

Inspected the existing pipeline definition to confirm deployment target and how per-environment settings would be supplied. No pipeline run was triggered; it informed the recommendation and settings plan only.

What worked

Pipeline file clearly showed deployment method and where new identity settings would need values.