Plurrrr

When faced with a potential latency issue in web services, this is often one of the first commands I run several times from multiple clients because the results form this command help to get a quick sense of the layer that might be responsible for the latency issue.

I've been using Bash functions quite liberally over the past couple years, but last week I discovered that they can be much better than I thought. In this post, I'll explain how I thought they worked, why I was wrong, and how that makes them better.

Title of this blog post isn’t a collection of every Kubernetes related buzzword I could think of. It’s a collection of technologies that went into creating an automated, resilient and scalable WordPress setup.

I was having a problem at work with an ARM64 Linux edge device. I have an ARM64 binary on the edge device, and I wanted to look at which dynamic libraries it is linked to with the readelf program. Unfortunately, readelf is not installed on the device. I was unable to figure out how to use the device's package manager.

I was able to build a readelf binary that I could use on the device by cross-compiling and statically-linking one from Nixpkgs. This post explains how to easily cross-compile and statically-link packages from Nixpkgs.

For reasons unknown, Hollywood has decided that Nmap is the tool to show whenever hacking scenes are needed. At least it is a lot more realistic than silly 3D animation approach used in many previous movies (e.g. "hacking the Gibson" on Hackers, or the much worse portrayals on Swordfish). We always like to see Nmap in the movies, so we have catalogued known instances here.

However, writing Dockerfile is sometimes painful. In this post, I will write a few tips and gochas in writing Dockerfile so that you love the tool.

A rag doll that awakens in a postapocalyptic future holds the key to humanity's salvation.

World-renowned civil rights defense attorney Bryan Stevenson works to free a wrongly condemned death row prisoner.

We’re thrilled to announce a new open-source package for the Swift on Server ecosystem, Swift Distributed Actors, a complete server-oriented cluster library for the upcoming distributed actor language feature!

This library provides a complete solution for using distributed actors in server use-cases. By open-sourcing this project early, alongside the ongoing work on the language feature, we hope to gather more useful feedback on the shape of the language feature and associated transport implementations.

The goal of this explanation is to make you understand when and why the global statement is needed. To accomplish this, we will introduce two key concepts: code blocks and bindings. Before diving in, take a moment to read the rest of this section.

Python has the wonderful "in" operator and it would be nice to have additional infix operator like this. This recipe shows how (almost) arbitrary infix operators can be defined.

During my final term at UWaterloo I took the CS444 compilers class with a project to write a compiler from a substantial subset of Java to x86, with a language and two teammates of your choice. My group of three chose to write our compiler in Rust and it was a fun experience. We spent time coming to design decisions that worked out really well and used Rust’s strengths. Our compiler ended up being around 6800 lines of Rust and I personally put in around 60 hours of solid coding and more on code review and design. In this post I’ll go over some of the design decisions we made and some thoughts on what it was like using Rust.

Today I'll discuss about an interesting concept: consistent hashing. It's a widely employed technique to properly perform sharding in distributed storage systems. I'm not aiming at a rigorous explanation (please don't use the raw snippets I provide in production code!), but I hope I can make the concept simple enough.

PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes in your choice of notebook environment.

As of time of writing, the latest version of git is 2.28.0, and it supports a total of 4 diff algorithms, namely myers, minimal, patience, and histogram. In the following sections, I give my take on when each of these algorithms should be used. This post does not cover a breakdown of how the algorithm works, and/or its complexity – you can find these via a quick search.

While Go does not have macros or other forms of metaprogramming, it's a pragmatic language and it embraces code generation with support in the official toolchain.

The go generate command has been introduced all the way back in Go 1.4, and since then has been widely used in the Go ecosystem. The Go project itself relies on go generate in dozens of places; I'll do a quick overview of these use cases later on in the post.

This article explains the new features in Python 3.10, compared to 3.9.

What follows is a quick walkthrough of getting a recommendation engine setup directly inside Postgres on top of Crunchy Bridge, our database as a service.

Pants has industry-leading support for Python builds - covering steps such as resolving 3rd-party dependencies, running tests, generating code, running formatters and linters, packaging python executables, building Docker images, and more.

One important build step that Pants has supported for a long time is building Python package distributions, namely sdists and wheels.

We just cut the first release candidate for Pants 2.8, so this is a good time to talk about the significant enhancements to its distribution-building capabilities, including support for native extensions and for PEP-517.

Monterey feels of a piece with maintenance-mode macOS updates like El Capitan or Sierra or High Sierra—change the default wallpaper, and in day-to-day use you can easily forget that you've upgraded from Big Sur at all. It's not that there aren't any new features here—it's just that improving any operating system as mature as macOS involves a lot of tinkering around the edges.

But there are plenty of things to talk about in even the most minor of macOS releases, and Monterey is no different. The update refines the Big Sur design and rethinks automation and what's possible via local wireless communication between devices. It also makes a long list of minor additions that won't be exciting for everyone but will be interesting for some subset of Mac users.

Apple today released macOS 12 Monterey, and whenever a new operating system is released for the Mac, some users prefer to perform a clean installation. This article explains how to perform what is effectively a clean install of Monterey using a brand new option that's available on Apple silicon-powered Macs and Intel Macs with a T2 security chip.

During the annual Python core development sprint we held a meeting with Sam Gross, the author of nogil, a fork of Python 3.9 that removes the GIL. This is a non-linear summary of the meeting.

Combining Swift’s powerful generics system with the fact that any Swift type can be extended with new APIs and capabilities enables us to write targeted extensions that conditionally add new features to a type or protocol when it fits certain requirements.

It all starts with the where keyword, which lets us apply generic type constraints in a range of different situations. In this article, let’s take a look at how that keyword can be applied to extensions, and what sort of patterns that can be unlocked by doing so.

We’re running Haskell in production. We’ve told that story before.

We are also running Haskell in production on Kubernetes, but we never talked about that. It was a long journey and it wasn’t all roses, so we’re going to share what we went through.

Type-checking plugins for GHC are a powerful tool which allows users to inject domain-specific knowledge into GHC’s type-checker. In this series of posts, we will explore why you might want to write your own plugin, and how to do so.