Reproducible evidence
Dockerized PostgreSQL, synthetic schema and data, captured plans, repeated measurements, and deterministic reports.
Cloud DBRE Reference Stack
An implemented case study, not a slide
A local PostgreSQL lab demonstrates the full reliability loop: collect evidence, analyze deterministically, compare remediation candidates, qualify repeatedly, draft a controlled change, and document exactly what the result does—and does not—prove.
Qualification memo
The first candidate changed the PostgreSQL plan but did not materially improve p95 latency. The workflow did not convert a plausible change into a success story. It preserved the negative result and continued testing alternatives.
Index
Execution plan changed; p95 did not materially improve.
Rejected
Local lab
Monthly reporting read model
Major local latency improvement with refresh and stale-data recovery checks.
Accepted
Local demonstration only
Production rollout
Real workload, operability, cost, ownership, and change-window evidence absent.
Not approved
Out of scope
Dockerized PostgreSQL, synthetic schema and data, captured plans, repeated measurements, and deterministic reports.
A remediation matrix with concurrency, write, refresh, randomized repetition, and stale-data recovery considerations.
Draft diagnoses and change artifacts remain bounded by deterministic inputs and explicit human review.
The project supports accept_for_local_demo_only. It does not claim production readiness. A production decision would require representative workload evidence, capacity and refresh analysis, operational ownership, failure testing, security review, rollback planning, and a controlled change window.