Signals
Start with the symptoms and system state: metrics, logs, plans, events, workload context, and operator observations.
DBRE operating system
A closed-loop reliability practice
From weak signals to verified change.
Reliability engineering becomes repeatable when diagnosis, approval, change, and verification share one evidence trail. The method is designed for human judgment with selective automation—not autonomous production intervention.
Evidence
Preserve reproducible inputs, baselines, timestamps, configurations, and measurement methods.
Diagnosis
Build and challenge hypotheses. Separate correlation from a causal explanation that can be tested.
Decision
Compare candidate remedies, trade-offs, risks, prerequisites, and rollback paths before selecting a change.
Change
Apply the smallest controlled intervention with explicit authority, review, and operational boundaries.
Verification
Measure outcomes against the same acceptance criteria, record limits, and feed learning back into the system.
Guardrails are part of the architecture.
Draft does not mean execute
Automation may prepare evidence and proposals without inheriting production write authority.
Local is not production
A local win narrows uncertainty. It does not establish workload safety, operability, or production approval.
Record negative results
A candidate that fails acceptance criteria is still valuable evidence—and prevents repeated weak decisions.
The deliverable is a defensible decision.
A good DBRE engagement does more than produce a patch. It leaves behind the baseline, evidence, rejected alternatives, selected option, review record, verification result, limitations, and the next unanswered question.