rate limiting
AssessTechniques
A traffic-control method that caps how many requests can be made in a given period.
Why it's here
Placed in Assess: 5 article(s) of evidence from 2 source(s), led by framework updates, with 1 in the last 30 days. Confidence 57%.
Evidence (5)
- 6Hacker News·9/17/2026framework_updateGitLab.com changes rate limits to match subscription tiers
GitLab says GitLab.com rate limits will be aligned with subscription tiers starting October 19, 2026, beginning with Free and unauthenticated traffic, while Premium and Ultimate changes follow in January 2027. The company is also adding preview windows to let users test the new limits and recommends authentication, batching, caching, and pagination to avoid hitting caps.
- 6Hacker News·8/7/2026securityA year-long battle against scrapers
The article describes a website operator's year-long effort to reduce scraping on a 1.5 million-page site, where most traffic was generated by bots. It focuses on the operational costs, detection methods, and mitigation tactics used to protect content and infrastructure.
- 4Hacker News·7/26/2026securityHow to block some bots
The article discusses practical ways to reduce unwanted bot traffic on websites, likely focusing on straightforward blocking and filtering techniques rather than complex anti-bot systems. It is framed as a hands-on guide for site operators dealing with scraping, abuse, or automated traffic.
- 5OpenAI Blog·2/13/2026framework_updateOpenAI scales access to Codex and Sora
OpenAI says it built a real-time access system that combines rate limits, usage tracking, and credits to provide continuous access to Codex and Sora. The approach is meant to better manage demand while keeping the services available to users without abrupt interruptions.
- 7OpenAI Blog·1/22/2026researchHow OpenAI scaled PostgreSQL for ChatGPT
OpenAI describes how it scaled PostgreSQL to handle millions of queries per second for ChatGPT using replicas, caching, rate limiting, and workload isolation. The post focuses on infrastructure changes that improved database reliability and performance at very large scale.