Technically eligible one day, but the blockers are structural: hosted WCF or SOAP contracts that cannot run two versions at once, or heavy legacy coupling. Sequence the modernisation work first. Hosts WCF or SOAP endpoints: strict serialization contracts cannot safely run two versions at once (the shared-enum trap). End-of-life runtime compounds the work.

• 2 system(s) depend on this repo; during a rolling deploy they will talk to old and new versions at once, so responses must stay compatible

1. Adopt the four-stage discipline from the ZDD engineering standard: pre-deployment compatibility, deployment, feature activation behind a flag, post-release cleanup.
2. Raise automated test coverage first: ZDD trades the end-of-sprint manual gate for continuous automated confidence, so the tests are the entry ticket.
3. Make every change dual-version safe: backwards-compatible APIs (new major version for breaking wire changes), expand and contract for any schema change, and consumers tolerant of unknown fields.
4. Wrap behaviour changes in feature flags so code deploys dark and release becomes a business decision, not a deployment event.
5. Route deployments through the Workflow Engine's automated drain, deploy, health-check, return cycle (the path proven by the first automated production run in mid-2026).
6. Verify with area-scoped regression rather than the whole-platform cycle, and watch error rates after rollout with automated rollback on alert.

No SQL Server dependency is recorded for this repo. Nothing to migrate.

Appropriate eventually, but not from here: the legacy runtime and the hosted WCF surface both have to go first, and that work is already in this repo's recommended actions.

• .NET Framework only runs on Windows; practical (Linux) containers need modern .NET
• Hosts WCF or SOAP endpoints, which have no home on modern .NET; consumers need a modern interface first

1. Replatform to modern .NET first (see the recommended actions), replacing the hosted WCF/SOAP surface with REST, gRPC or messaging so consumers can follow. Containerising then becomes routine.
2. Add a Dockerfile and make the app read all configuration from environment variables and the secrets manager, never from machine-local files.
3. Log to stdout and expose a health check endpoint so ECS can supervise it.
4. Adopt the shared ci.yml pipeline template with the container parameters (awsRegion, containerAfterBuild, ecsTerraformRepo), which is exactly how the estate's existing AWS services deploy.
5. Define the service in the Terraform repo, deploy to a non-production environment, then shift traffic and disarm the deployment-group release pipeline.