System Architecture

homogeneous network of tightly coupled data processing units

series of systolic array machines

series of pioneering microprocessors from the 1980s

Note to implementors Notes on the formalism underlying this specification can be found here. Introduction This is a reference manual for the CUE data constraint language. CUE, pronounced cue or Q, is a general-purpose and strongly typed constraint-based language. It can be used for data templating, data validation, code generation, scripting, and many other applications involving structured data. The CUE tooling, layered on top of CUE, provides a general purpose scripting language for creating scripts as well as simple servers, also expressed in CUE.

virtual machine

In this tutorial, you’ll learn the fundamentals of eBPF and XDP through example code that parses packets across different protocol layers, demonstrates how XDP actions work, and shows how these building blocks form the foundation for high-performance networking applications.

Master advanced Elixir design patterns with this comprehensive guide for expert software engineers and architects. Enhance your expertise in functional programming, concurrency, OTP, and build scalable, fault-tolerant systems using Elixir.

What Is a Semantic Layer, and Why Is It Important?

A practical, plain-English tour of how Linux moves packets from write() to the wire and back

This post is a deep dive into how we improved the P95 latency of an API endpoint from 5s to 0.3s using a niche little computer science trick called a bloom filter.

Learn about CUE's theoretical basis and what makes it different.

A lightweight, open-source tracing tool for capturing structured HTTP call flows across microservices — with payloads, not just spans.

Cloud-Native Full-Stack Software Engineer and Solutions Architect based in Sydney, Australia

The idea of the Cynefin framework is that it offers decision-makers a "sense of place" from which to view their perceptions.

The best intentions of mice and men… aft never leave the conference centre, according to this week’s guest, Dave Snowden. Founder of The Cynefin Company, Dave is a management consultant and complexity scientist who has worked for governments and institutions around the world to help them better understand what populations need, and how to deliver it to them. He joins me today to explain why solutions fail, why populism is on the rise, and why the middle class’ penchant for what he calls “talking therapy” will never deliver real change—because it ignores the stories on the street. This is a conversation which explores geo-engineering, putting oil companies to good use, The Troubles and even Obama’s first term, with Dave insisting that it is impossible to change people’s minds—we can only facilitate different interactions with the world. Support Planet: Critical by subscribing at PlanetCritical.com

I was looking over the week’s posts on Hackaday – it’s part of my job after all – and this gem caught my eye: a post about how to make your own RP2040 development board from scratch. And I’ll admit…

Learn about #EXTM3U and its role in playlist files, how it enhances basic M3U playlists, and the differences between M3U and M3U8 files, including UTF-8 encoding support in M3U8.

What is Qubes OS?: Qubes OS is a free and open-source, security-oriented operating system for single-user desktop computing. Qubes OS leverages Xen-based virtualization to allow for the creation an...

Service design leadership can be the responsibility of one person, or many, but it takes a whole organisation to improve a service over time, and crucially, make sure it stays that way.  To be able to have a good services in our organisation, we need service literacy

The visual way to analyse multidimensional data

Algorithms? Datamining? Brainrot? You don’t need those things to have a social network. As we knew back in the BBS days, long before anyone coined the phrase “social network”, all…

Systems Approach: Networks have changed profoundly, except for the parts that haven’t

The immense complexity of the climate makes it impossible to model accurately. Instead we must use uncertainty to our advantage

MIT Associate Professor Phillip Isola studies the ways in which intelligent machines “think” and perceive the world, in an effort to ensure AI is safely and effectively integrated into human society.

We manage the build pipeline that delivers Quip and Slack Canvas’s backend. A year ago, we were chasing exciting ideas to help engineers ship better code, faster. But we had one huge problem: builds took 60 minutes. With a build that slow, the whole pipeline gets less agile, and feedback doesn’t come to engineers until…

There are two competing forces in IT, and they are at play during the GenAI era as much as they have ever been during prior eras in the datacenter. One is