Q
Quastor
blog.quastor.org · Company blog · on HN since 2022
Quastor is a newsletter summarizing engineering write-ups from large tech companies on scaling, architecture, and migrations.
What HN saysHN commenters link it for summaries such as WhatsApp serving 1 billion users with 50 engineers, Grab's rate limiting, and Wayfair's ad bidding system.
22HN people shared it
6linked it in comments
22stories submitted
36story points
2 years agolast shared
2022people per year2026
Most-shared posts
- 1Khan Academy Rewrote their Back end3 people · 7 points · first shared 2023 · discussion on HN
- 2How Facebook Keeps Millions of Severs Synced2 people · 5 points · first shared 2023 · discussion on HN
- 3Grab's Rate Limiting Implementation2 people · 2 points · first shared 2023 · discussion on HN
- 4Uber Scaled Cassandra to 10k+ Nodes2 people · 2 points · first shared 2023 · discussion on HN
- 5LinkedIn Migrated to Couchbase2 people · 2 points · first shared 2023 · discussion on HN
- 6Whatsapp scaled 1 billion users 50 engineers2 people · first shared 2023
- 7PayPal Scaled Kafka to 1.3T Messages per Day1 people · 3 points · first shared 2023 · 1 comments on HN
- 8Notion Sharded Their Postgres Database1 people · 3 points · first shared 2022 · discussion on HN
- 9Snapchat's Shift to Microservices1 people · 2 points · first shared 2022 · discussion on HN
- 10LinkedIn Serves 5M User Profiles per Second1 people · 2 points · first shared 2024 · discussion on HN
- 11Canva Saved Millions on Data Storage1 people · 1 points · first shared 2023 · 1 comments on HN
- 12Booking uses a Quadtree data structure to store/retrieve 300k markers in < 6 ms1 people · 1 points · first shared 2023 · discussion on HN
- 13PayPal built a Key-Value store that serves 350B requests per day1 people · 1 points · first shared 2023 · discussion on HN
- 14Overview of DDoS and How Cloudflare Mitigates DDoS Attacks Every Hour1 people · 1 points · first shared 2025 · discussion on HN
- 15How to Build a Scalable Notification Service1 people · 1 points · first shared 2024 · discussion on HN
What HN people wrote when they linked it
mschuster91 · 2024-04-09
> This sounds disanalogous to me. When you post on twitter, you can be rewarded with engagement and attention and even the possibility of growing your own brand and following.
As someone who co-runs a >>70k account: Yes, that is possible, but it's very very rare for those creating a following primarily via Twitter to actually make money with it. Maybe if you got an 0nlyfans account. Meanwhile, the content you create lures in other people and with them, eyeballs that Twitter can make money with by selling advertising time to these people.
> Meanwhile, twitter has the costs of paying for servers and infrastructure and salaries of those required to support the site
The legitimate costs required to run something like Twitter or Whatsapp can be pretty darn small. Whatsapp ran with 50 employees up until 1 billion (!) users [1]. The point is to not unfocus too much - for all the bad Musk did to Twitter, he did show that there indeed was a lot of dead weight hanging around the place, no wonder it was hemorraging money.
[1] https://blog.quastor.org/p/whatsapp-scaled-1-billion-users-50-engineer…
pighive · 2024-01-11
For the curious, OP's blog: https://blog.quastor.org
klaussilveira · 2024-11-13
HyperLogLog and PostgreSQL: https://github.com/citusdata/postgresql-hll
Or even simpler, Roaring Bitmaps: https://pncnmnp.github.io/blogs/roaring-bitmaps.html
https://blog.quastor.org/p/grab-rate-limiting
https://github.com/RoaringBitmap/CRoaring
sligor · 2023-12-04
> I can't imagine the whole thing can't be done with between 30 to 50 engineers in total.
How WhatsApp served 1 billion users with only 50 engineers.
https://blog.quastor.org/p/whatsapp-scaled-1-billion-users-50-engineer…
edit: https://news.ycombinator.com/item?id=28985169
realprimoh · 2023-12-26
How Instagram scaled to 14 million users with only 3 engineers: https://read.engineerscodex.com/p/how-instagram-scaled-to-14-million
Where LLMs are headed: https://blog.quastor.org/p/language-models-future
SwiftUI at Airbnb: https://www.infoq.com/news/2023/10/airbnb-transitioning-swiftui/
GPU Computing Explained: https://codeconfessions.substack.com/p/gpu-computing
Building and operating S3: https://www.allthingsdistributed.com/2023/07/building-and-operating-a-…
Meta’s new Serverless platform: https://read.engineerscodex.com/p/meta-xfaas-serverless-functions-expl…