Final Capstone — Production Readiness Review

Relax. We'll talk through this in plain words — no textbook voice.

What you'll walk away with

Explain the core ideas behind Final Capstone — Production Readiness Review
Run the sample SQL or command and verify its output
Apply the technique to the Tutorial Platform and production scenarios

Build the mental model

Capstone completion is more than having tables. Demonstrate invariants, safe queries, performance evidence, least privilege, repeatable migrations, tested restores, and an operational runbook. Written trade-offs and limitations are evidence of production thinking.

Connect it to a real scenario

Organize `migrations/`, `seeds/`, `queries/`, `tests/`, and `runbooks/`. Submit a blank-database build, invalid-data tests, EXPLAIN snapshots, role tests, restore-drill output, and an architecture note—without secrets or real user data.

Prove correctness, performance, security, and recovery together
Reproduce from a blank database
Document trade-offs and limits

Try the working example

text

Final review
[ ] Migrations build a blank PostgreSQL 18 database
[ ] Constraints reject invalid relationships
[ ] All application input is parameterized
[ ] Critical queries have reviewed EXPLAIN (ANALYZE, BUFFERS) plans
[ ] Runtime role follows least privilege; RLS tests pass where used
[ ] Pool budget and timeouts are documented
[ ] Backup restore drill passes within RTO
[ ] Monitoring, alerts, upgrade policy, and incident runbook exist
[ ] No secrets or production personal data are committed

You should see

You finish with a PostgreSQL capstone package proving basic through production-level skills.

5-minute try-it

Attach a file, command output, or test as evidence for every checklist item and complete a peer review.

One important caution

Do not mark boxes from confidence alone. Treat any pass without evidence as a failure.

PostgreSQL — Server Administration — PostgreSQL Global Development Group

Easy traps

Do not mark boxes from confidence alone. Treat any pass without evidence as a failure.
Validate sample code on a local or test database with recoverable backups before applying it to production data.

Exercise

Attach a file, command output, or test as evidence for every checklist item and complete a peer review.

You'll know it worked when: You finish with a PostgreSQL capstone package proving basic through production-level skills.