Lightweight Virtualization Metallize Libkrun Vsock
libkrun + krunvm Github randomly recommended me libkrun which is a library backing krunvm. It’s something similar to firecracker, but even simpler. ...
libkrun + krunvm Github randomly recommended me libkrun which is a library backing krunvm. It’s something similar to firecracker, but even simpler. ...
I have been working with Python a lot more recently, and it feels like I spend more time fighting packaging than writing code. Python’s primary package manager, pip, is roughly equivalent to the best 1990s had to offer(Perl CPAN), it makes it depressingly easy to end up with a broken environment. Pixi: A modern packaging system for Python pixi is a modern package manager along the lines of deno/pnpm, but for Python. It’s a single binary that you can download and run. It will install Python + native packages within a single subdirectory. It will use pixi.toml file to track dependencies + pixi.lock to track exact versions of transitive dependencies. ...
13 GiB/s per core! Sneller posted a blog on HN on how they use AVX-512 to decompress data at 13 gigabytes per second per core. This a fantastic ad for their “lets turn logs on S3 into cheap database” product. This is a solution I wanted multiple times, will definitely consider them next time the need comes up. Faster than RAM Now this post did not get overlooked, but what did get overlooked is that the post engaged the clickhouse CTO. He posted a link to a presentation on how Clickhouse uses compression to process in-memory data faster than RAM bandwidth. As a result of discussion in these comments, clickhouse might get even faster. ...
I’m gonna start a column on cool blog posts I found, that got 0 or minimal traction. I suspect I will also have no traction doing that 🤦♂️. The Problem I really enjoy thoughtful writing on deep technical problems. It’s even better when one sees thoughtful comments, that further contribute new directions to throughts presented. HackerNews is where most of that writing tends to land. Unfortunately it tends to not do well vs trendy, click-baity, etc content. Twitter is even worse. First, a blog post on my tooling for reading HN. ...