41 articles
AI tools can generate complex SQL queries from plain-English descriptions, optimize slow queries with index suggestions, and explain query execution plans. This guide covers practical workflows for PostgreSQL, MySQL, and SQLite with real examples.
Build bulletproof database backup and disaster recovery in 2026: automated PostgreSQL backups to S3, point-in-time recovery, read replicas, RTO and RPO targets, and a tested DR runbook every team should have.
Deploy and operate production databases with AWS RDS: instance setup, Multi-AZ high availability, read replicas, automated backups, parameter groups, and performance optimization for PostgreSQL and MySQL.
A complete guide to integrating Prisma ORM with Next.js 15, covering schema design, migrations, CRUD operations, relations, transactions, and production connection pooling. For developers building data-driven Next.js applications.
A query that runs in 3ms against 10,000 rows becomes a 42-second table-locking disaster against 50 million rows. One missing index, one function-wrapped column, or one implicit type cast silently disables PostgreSQL index usage. Here is how to find and fix these before they hit production.
Cascade deletes on foreign keys can silently destroy thousands of rows across multiple tables in milliseconds. This guide explains how cascade deletes propagate, how to audit your schema, and safer alternatives like soft deletes and deferred cleanup jobs.
Change Data Capture with Debezium reads PostgreSQL WAL logs and MySQL binlogs to stream every insert, update, and delete to Kafka in real time. This guide covers connector configuration, schema evolution, exactly-once delivery, and production operational patterns.
Connect PostgreSQL to Node.js with the pg driver, configure connection pooling, write type-safe queries, and handle transactions. Essential patterns for production TypeScript backends.
Learn Drizzle ORM — the lightweight, SQL-first TypeScript ORM for PostgreSQL, MySQL, and SQLite. Covers schema definition, queries, migrations, and comparisons with Prisma for 2026.
Master Prisma ORM for type-safe database access in Node.js with TypeScript. Covers schema design, Prisma Client, relations, transactions, migrations, and production best practices for 2026.
Complete Prisma ORM guide for 2026 covering schema design, migrations, relations, transactions, and performance optimization. For Node.js and TypeScript developers using PostgreSQL.
Comprehensive PostgreSQL guide for 2026 covering indexing strategies, JSONB, full-text search, CTEs, window functions, and connection pooling. For developers building data-intensive applications.
A comprehensive performance checklist across all layers—database, application, caching, network, and edge.
You''ve been running backups for 18 months. The disk dies. You go to restore. The backup files are empty. Or corrupted. Or the backup job failed silently on month 4 and you''ve been running without a backup ever since. Untested backups are not backups.
Use database branching to test migrations safely. Branch per PR, mask PII, and integrate with CI/CD for rapid iteration.
Master connection pooling with PgBouncer and pgpool-II. Learn transaction vs session mode, pool sizing math, Prisma connection pooling, serverless connection pooling, and monitoring.
Master zero-downtime schema changes: expand/contract pattern, PostgreSQL 11+ instant column additions, gh-ost and pg_repack for online schema changes, testing with production subsets, backwards-compatible deployments.
Master Postgres query optimization using EXPLAIN ANALYZE, covering index types, query rewriting, and plan analysis for production databases.
Connection pool exhaustion is one of the most common and sneakiest production failures. Your app works perfectly at low load, then at 100 concurrent users it freezes completely. No errors — just hanging requests. Here's the full diagnosis and fix.
Drizzle ORM combines type safety with performance. Learn why teams switch from Prisma: smaller bundle size, edge compatibility, prepared statements, and 3x query speed.
You shard by user ID. 80% of writes go to 20% of shards because your top customers are assigned to the same shards. Or you shard by date and all writes go to the current month''s shard. Uneven distribution turns a scaling solution into a bottleneck.
You need to export 10 million rows. You paginate with OFFSET, fetching 1,000 rows at a time. The first batch takes 50ms. By batch 5,000 the offset is 5 million rows and each batch takes 30 seconds. The total job takes 6 hours and gets slower as it goes.
Audit logs are critical for compliance and debugging. But an audit_logs table that grows without bounds will fill your disk, slow every query that touches it, and eventually crash your database. Here''s how to keep your logs without letting them kill production.
You deploy a migration that runs ALTER TABLE on a 40-million row table. PostgreSQL rewrites the entire table. Your app is stuck waiting for the lock. Users see 503s for 8 minutes. Schema changes on large tables require a completely different approach.
Month 1 — queries are fast. Month 6 — users notice slowness. Month 12 — the dashboard times out. The data grew but the indexes didn''t. Finding and adding the right index is often a 10-minute fix that makes queries 1000x faster.
Design multi-tenant applications at scale. Compare database-per-tenant, schema-per-tenant, and row-level security approaches. Implement tenant context middleware, enforce isolation, automate onboarding, and ensure data never leaks across tenants.
The N+1 query problem is responsible for more "why is my app slow?" investigations than almost anything else. It hides perfectly in development, then silently kills your database at scale. Here''s exactly what it is, how to detect it, and every way to fix it.
Neon separates compute from storage, enabling scale-to-zero and instant database branching. Explore architecture, edge compatibility, and preview environment workflows.
Explore Neon''s serverless PostgreSQL: git-like branching for preview environments, scale-to-zero cold starts, connection pooling, point-in-time restore, comparison with PlanetScale and Supabase, cost analysis.
Page 1 loads in 10ms. Page 100 loads in 500ms. Page 1000 loads in 5 seconds. OFFSET pagination makes the database skip rows by reading them all first. Cursor-based pagination fixes this — same performance on page 1 and page 10,000.
One database cannot excel at everything. Learn when to use PostgreSQL, Redis, Elasticsearch, ClickHouse, and vector databases—and how to sync them without chaos.
pgai extends PostgreSQL with AI capabilities: auto-embedding, semantic search, and LLM function calls—all in SQL. No external vector database required.
Master PostgreSQL indexing strategies including B-Tree for general queries, GIN for JSONB/arrays, BRIN for time-series, partial indexes, covering indexes, and how to identify unused indexes with pg_stat_user_indexes.
Learn when sharding becomes necessary, compare hash vs range vs list partitioning, explore Citus for horizontal scaling, and understand the costs of distributed queries and shard key selection.
User saves their profile. Page reloads. Shows old data. They save again — same thing. The write went to the primary. The read came from the replica. The replica is 2 seconds behind. Read-after-write consistency is the hardest problem with read replicas.
Master read replica deployment: detect replication lag, handle read-after-write consistency, implement query routing middleware, monitor replica health, and recognize when replicas don''t help.
The disk dies at 2 AM. You have backups. But the restore takes 9 hours because nobody tested it, the database is 800GB, the download from S3 is throttled, and pg_restore runs single-threaded by default. You could have restored in 45 minutes with the right setup.
Your query runs in 2ms in development with 1,000 rows. In production with 10 million rows, the same query takes 8 seconds. The database does a full table scan on every single request. Here''s how to identify missing indexes, write efficient queries, and build a database that stays fast as data grows.
Supabase handles authentication, realtime subscriptions, and row-level security. Learn production patterns: custom JWT claims, RLS policies, Edge Functions, and multi-environment deployments.
Master time-series data: declarative partitioning by month, partition pruning for query efficiency, TimescaleDB hypertables, automated partition creation, retention policies, downsampling with continuous aggregates.
Sessions table. Events table. Audit log. Each row is small. But with 100,000 active users writing events every minute, it''s 5 million rows per day. No one added a purge job. Six months later the disk is full and the database crashes.