THE VIDEO SHELF · capacity management
"Stop Rate Limiting! Capacity Management Done Right" by Jon Moore
Jon Moore's Strange Loop 2017 talk argues that rate limiting is the wrong tool for protecting services from noisy clients. He proposes concurrency-based capacity management and quotas instead.
Why HN readers recommended it
HN engineers recommend it for its core insight that limiting concurrency naturally yields request-rate limits, and for its link to queueing theory.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Strange Loop Conference
- Topic
- capacity management
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 4
- Recommendation years in dataset
- 2017–2024
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
For a different view on the topic watch "Stop Rate Limiting! Capacity Management Done Right" [VIDEO] The basic premise is not do do req/s limiting but rather concurrency limiting which results in req/s limiting by itself. Concurrency limiting is rather simple and doesn't require a …
luckystarr on Hacker News · 2017-12
In How to Design a Scalable Rate Limiting Algorithm* To Serve The People: Public Interest Technologists. Matt Mitchell is a hacker, security researcher, operational security trainer, and data journalist who founded & leads CryptoHarlem, impromptu workshops teaching basic cryptography tools to the predominately African American community in upper Manhattan. [LINK] * Stop Rate …
cpeterso on Hacker News · 2018-01
In Ask HN: What’s your favorite talk from 2017?Relevant to queueing theory: "Stop Rate Limiting! Capacity Management Done Right" by Jon Moore [VIDEO]
oftenwrong on Hacker News · 2019-06
In It’s Time for Some Queueing Theory
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.