# Postgres DELETE scaling techniques explored in new blog post

> A blog post on dbos.dev examines how to scale DELETE operations in PostgreSQL, a topic relevant to data management in web scraping and extraction pipelines.

- Canonical: https://extractfeed.io/story/postgres-delete-scaling-techniques-explored-in-new-blog-post-728577f/
- JSON: https://extractfeed.io/api/v1/stories/postgres-delete-scaling-techniques-explored-in-new-blog-post-728577f.json
- Beat: Infrastructure & Proxies · Evidence: Reported · Type/significance: analysis/2 · First seen: 2026-10-20T00:33:38.646304+00:00 · Updated: 2026-10-20T00:33:38.646304+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Hacker News: A blog post on dbos.dev examines how to scale DELETE operations in PostgreSQL, a topic relevant to data management in web scraping and extraction pipelines.

## Why it matters
Efficient data deletion is critical for maintaining performance in large-scale extraction systems that accumulate historical data. This post offers practical insights for engineers managing Postgres-backed storage for scraped content, helping avoid performance degradation from unoptimized DELETE patterns.

## Sources
- Reported · Hacker News · 2026-10-15 — [How Postgres DELETE can actually scale](https://www.dbos.dev/blog/scaling-deletions-in-postgres)

## Watch next
What specific DELETE strategies does the post recommend for high-volume extraction workloads?

Topics: PostgreSQL, dbos.dev, postgresql, database-performance, data-management, scalability

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