
Multi-Region Database Failover: What Actually Breaks in Production
Multi-region failover looks simple on an architecture diagram — the reality involves replication lag, split-brain writes, and DNS caches that refuse to cooperate.
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15 articles

Multi-region failover looks simple on an architecture diagram — the reality involves replication lag, split-brain writes, and DNS caches that refuse to cooperate.

Soft deletes look like a simple safety net, but they silently corrupt your schema, poison your queries, and break your constraints — here's what to use instead.

Postgres has a powerful built-in full-text search engine using tsvector, tsquery, and GIN indexes — no Elasticsearch cluster required for most applications.

Stop racing conditions in distributed systems: a practical guide to implementing distributed locks with Redis and PostgreSQL advisory locks in Node.js.

How the transactional outbox pattern eliminates the dual-write problem and guarantees reliable event publishing without coupling your database to your message broker.

The recurring database design mistakes that cause slow queries, painful migrations, and production incidents — with practical fixes and the reasoning behind each one.

Execute schema migrations on production databases without downtime using expand-contract patterns, backward-compatible changes, blue-green data strategies, and migration safety checks that prevent data loss and application errors.

A deep dive into database connection pool configuration, covering pool sizing formulas, connection lifecycle management, health checking strategies, and diagnosing pool exhaustion under production traffic patterns.

A deep dive into database connection pooling for Node.js services, covering pool sizing, health checks, failover patterns, and the common misconfigurations that cause production outages.

Implement database schema migrations that don't require downtime using expand-contract patterns, backward-compatible changes, and phased rollouts that keep your application serving traffic throughout every deployment.

Compare offset, cursor, and keyset pagination strategies with practical implementations showing performance characteristics, trade-offs, and when each approach fits your API design.

A practical breakdown of read uncommitted, read committed, repeatable read, and serializable isolation levels — with real examples of the anomalies each one prevents and the performance trade-offs involved.

A practical guide to database sharding — covering partitioning strategies, shard key selection, cross-shard queries, and the operational complexity that comes with distributing data.

How to configure and monitor database connection pools — covering pool sizing, leak detection, failover handling, and common misconfiguration pitfalls.

Practical techniques for identifying and fixing slow SQL queries using EXPLAIN plans, indexing strategies, and query restructuring patterns.