
Replication Lag: The Hidden Cost of Read Replicas
Why read replicas introduce stale reads, how replication lag breaks consistency assumptions, and practical patterns to handle it safely.
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16 articles · Page 1 of 2

Why read replicas introduce stale reads, how replication lag breaks consistency assumptions, and practical patterns to handle it safely.

Multi-region failover looks simple on an architecture diagram — the reality is 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 database to broker.

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

Run schema migrations on production databases without downtime: expand-contract, backward-compatible changes, blue-green data and safety checks.

A deep dive into connection pool configuration: sizing formulas, connection lifecycle, health checking and diagnosing pool exhaustion under real traffic.

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

Run database schema migrations without downtime using expand-contract patterns, backward-compatible changes and phased rollouts that keep serving traffic.

Compare offset, cursor and keyset pagination with practical implementations: performance characteristics, trade-offs and where each one fits your API.