Start here. This is the direct spoken answer to practice first.
Why this question matters
SQL timeouts after deployment can come from changed query shape, indexes, locks, migrations, transaction scope, retries, connection pooling, or database saturation. Route-level dependency telemetry and database waits connect user symptoms to the actual constraint.
I would identify which endpoints and queries are timing out, when it started, and whether it aligns with the deployment. Then I would inspect Application Insights dependency telemetry, database metrics, query duration, error types, connection pool symptoms, and recent migrations. If users are affected, I would reduce impact with rollback, feature disablement, rate limiting, or a safe query/index fix depending on evidence. I would avoid simply increasing command timeout before understanding the bottleneck.