Better Dev Link

In collabortion app you will usually see the cursor of all the user moving around. How would we implement that? At scale. Canvas engineering share with us here. Some good find such as using a Binary serialization instead of JSON to reduce CPU load on backend

Build a retrieval system with semantic, full-text, and fuzzy search in Postgres to be used as a backbone in RAG pipelines. We will do all: full text search, semantic search, fuzzy search with Postgres

It’s surprising how little is known about the foundations of machine learning. Yes, from an engineering point of view, an immense amount has been figured out about how to build neural nets that do all kinds of impressive and sometimes almost magical things. But at a fundamental level we still don’t really know why neural nets “work”—and we don’t have any kind of “scientific big picture” of what’s going on inside them.

Some programs use a particular system call “vmsplice” to move data faster through a pipe. When not using vmsplice, Linux pipes are slower than what I would have expected. Since we cannot always use it, lets see exactly why that was, and whether it could be improved.

Marc Olson has been part of the team shaping Elastic Block Store (EBS) for over a decade. In this post, Marc provides a fascinating insider’s perspective on the journey of EBS. He shares hard-won lessons in areas such as queueing theory, the importance of comprehensive instrumentation, and the value of incrementalism versus radical changes. Most importantly, he emphasizes how constraints can often breed creative solutions. It’s an insightful look at how one of AWS’s foundational services has evolved to meet the needs of our customers (and the pace at which they’re innovating).

Take us into the history of Ethernet to see why things happened the way they did. It will also significantly enhance your network knowledge.

As developers, we use databases all the time. But how do they work? In this series, we’ll try to answer that question by building our own SQLite-compatible database from scratch.Source code examples will be provided in Rust, but you are encouraged to follow along using your language of choice, as we won’t be relying on many language-specific features or libraries.

Detect memory by just looking at growth rate of memory is simple. What if we train a model of leak pattern, and apply it to detect it sooner and more efficent?

databases are basically magic, and SQL is the arcane tongue that allows you to channel that magic. In fact, it’s easy to think of databases like a black box where you make sure your tables are indexed sensibly and your queries aren’t doing anything silly, and the rest just happens. But at the end of day, they are just software, that works with hardware, and use some great tricks or abstraction. So we will dive into that