Postgresql

A conceptual illustration of constraint enforcement layers in a distributed system

Check Against Constraints: How Production Systems Enforce Invariants

Constraint checking is the discipline of ensuring systems never leave a valid state. This post examines how top engineering teams enforce invariants across database layers, application logic, and governance policies — and the costly mistakes that happen when they don’t.

Diagram of a user safety event pipeline with Kafka, PostgreSQL, and Go services

User Safety: safe – A Hands-On Build Guide for a Portfolio CV Project

A complete, runnable project that demonstrates distributed event-driven design, backend engineering, and observability skills hiring managers look for in senior and staff-level engineers.

Diagram showing PostgreSQL WAL flowing through Debezium into Kafka topics and downstream sinks.

Architecting Change Data Capture with Debezium and PostgreSQL: A Production Pipeline Walkthrough

How to design a reliable CDC pipeline from PostgreSQL to downstream systems using Debezium — covering WAL internals, connector configuration, schema evolution, and the failure modes you’ll hit in production.

Illustration of PostgreSQL MVCC snapshot layers.

Deep Dive into PostgreSQL MVCC: Transaction Isolation, Snapshot Management, and Concurrency Control for Production

A production‑ready guide to PostgreSQL’s MVCC, covering isolation levels, snapshot lifecycles, and concurrency patterns engineers can apply today.

Illustration of PostgreSQL WAL sequence diagram.

Deep Dive into the Postgres Write-Ahead Log: Ensuring Data Durability and Crash Recovery

An in‑depth look at PostgreSQL’s WAL, covering its role in durability, crash recovery mechanisms, configuration, and real‑world performance tuning.