Database “sharding” came from Ultima Online? (2009)
Lessons Learned: Sharding for startups is a technical post about database scalability. What caught my eye was the term . What an odd term — “sharding.” Why would a database be described that way?
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 12 posts.
Lessons Learned: Sharding for startups is a technical post about database scalability. What caught my eye was the term . What an odd term — “sharding.” Why would a database be described that way?
I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. More than anyone really has any right to train. As I’ve spent these hours observing the effects of tweaking various model configurations and h
As much as Andy loves PostgreSQL, there is one part that is terrible and causes many headaches for people. Learn what it is and why it sucks.
This is my personal site, where I write about Ruby, programming, and any of my varied fascinations.
Modern AI rewards being very weird.
A complete GPT2 implementation as a single SQL query in PostgreSQL.
The State Space Model taking on Transformers
It’s no secret that the Python datetime library has its quirks. Not only are there probably more than you think; third-party libraries don’t address most of them! I created a new library to explore what a better datetime library could look like.
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens…
Note: code used in this article can be found on the Github repo jepsen-postgres-ha .
This month’s PGSQL Phriday #015 topic is about UUIDs, hosted by Lætitia Avrot. Lætitia has called for a debate. No, no, no. I say let’s have an all-out war. A benchmark war. I have deci…
The CAP theorem is too simplistic and too widely misunderstood to be of much use for characterizing systems.