Database Indexing Decisions for Product Engineers

A practical guide to choosing database indexes by query shape, selectivity, write cost, pagination needs, and production monitoring.

Elena PatelPublished May 5, 2026Updated May 6, 20261 min read Editorially reviewed

Index for queries

Indexes should match real query patterns. Start with slow query logs and explain plans, not guesses.

Every index has storage and write overhead. Too many indexes can slow inserts and updates while confusing future maintainers.

Offset pagination becomes expensive at scale. Cursor pagination paired with the right index can keep listing pages fast.

Indexes are living infrastructure. Data distribution changes as the product grows, and old assumptions expire.

Author

Elena focuses on programming tutorials, software architecture, and productivity systems.

Build useful SaaS observability with structured logs, traces, metrics, alert hygiene, customer-impact views, and cost-aware retention.

Jordan ReedMay 7, 2026 - 1 min read

Reduce cloud waste with ownership, tagging, right-sizing, caching, storage policy, and review rituals that support engineering speed.

Jordan ReedApril 24, 2026 - 1 min read

Rust can improve performance, safety, and resource efficiency in selected web service layers when teams apply it to the right problems.

Elena PatelMay 8, 2026 - 1 min read

Use Server Components, static generation, and small client islands to build content-heavy Next.js sites that are fast, crawlable, and maintainable.

Elena PatelMay 14, 2026 - 1 min read