Why Application-Layer Audit Trails Fail (and How PostgreSQL Triggers Fix It)

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<p><em>An honest engineering argument for tamper-evident audit logging — and the limits it cannot overcome.</em></p> <h2> 1. The promise of an audit log </h2> <p>Compliance

<p>Logs can explain what a service thought happened.</p> <p>They do not prove what happened.</p> <p>Klevar Docs needed an audit trail for rendered documents, invoice events,

<p>Every team that touches regulated data eventually has the same meeting. Someone from compliance asks a deceptively simple question: who changed this customer's email address,

<h2>The Problem with Polymorphic Audit Logs</h2> <p>In B2B SaaS engineering at Smart Tech Devs, maintaining a robust audit trail—tracking exactly who changed what, and when—is

<p><em>Between episodes, here's something lighter. Still useful. Still PostgreSQL.</em></p> <p>You've used PostgreSQL for years. SELECT, INSERT, JOIN, INDEX. Maybe you've

<p>This is Part 3 of the <strong>Architecture of Chaos</strong> series. <a

<p>You build the feature. You test it. It works.</p> <p>Three months later: data is missing, a transaction failed, a user denies doing something your system says they did.</p>