System Architecture

Poorly made API design decisions, once in production, can cause pain and grief for businesses, customers and development teams for years.

If you’ve got a wireless keyboard or mouse, you’ve probably got a receiver dongle of some sort tucked away in one of your machine’s USB ports. While modern technology has allowed …

In this post we will dive deeper and demystify how apps actually implement authentication. Do it right, and you barely notice it. But do it wrong, and you lock users out or open major security holes.

In this talk, our speaker, Joris Groen, will delve into the 'Behavior Design' approach to User Experience, showcasing the Fogg Behavior Model and an extensive array of desi

Modularity, asynchronous communication and distribution allow systems to satisfy conflicting forces.

Applying first time right during the software development life circle.

Quake 3 Source Code Review, Quake Live Source Code Review

A compilation of key articles that delve into Cedar's capabilities and potential

In this article, we will look at the limitations of RAG and domain-specific Fine-tuning to adapt LLMs to existing knowledge and how a team of UC Berkeley..

Hackaday recently published an article titled “Why x86 Needs to Die” – the latest addition in a long-running RISC vs CISC debate. Rather than x86 needing to die, I believe the RISC vs C…

How Uber improved load balancing with real-time dynamic subsetting for millions of containers.

Subsetting is a common technique used in load balancing for large-scale distributed systems. In this blog post, we will briefly introduce current Uber’s service mesh architecture that has been powering thousands of critical microservices in Uber since 2016. We will then discuss the challenges we faced when trying to scale the number of tasks in the mesh and issues with our initial subsetting approach. We’ll finish with how we came up with the real-time dynamic subsetting solution and its results in production.

Discover how DoorDash implemented a multi-tenancy awareness system for both Kafka producers and consumers.

A human-friendly metalanguage for describing data formats in documentation using the familiar patterns of Backus-Naur Form

Challenge forth trendy and inspiring products that seed a feeling of “niubility”!

#41: Break Into Amazon Dynamo White Paper (8 minutes)

In this blog, we’ll explore the benefits of integrating SWG into a secure SD-WAN for a unified, efficient, and comprehensive approach to network security.

One of the super powers of APIs.json is the ability to evolve the human-readable aspects of API operations into machine-readable ones–as this is how we are going to scale to deliver the API economy all of us API believers envision in our minds eye. I saw what Swagger (now OpenAPI) had done for API documentation back in 2013, and I wanted this for the other essential building blocks of our API operations. A decade later I am still translating our getting started, plans, SDKs, road map, change log, and support into machine-readable artifacts as part of our API Commons work, but I am still working to translate documentation into machine-readable artifacts as well.

I am pretty happy with manually searching Google and Bing for APIs across different spaces. The more APIs I add to my APIs.json index of APIs, the more words that appear as tags. So I regularly scroll through the list clicking on different keywords to see what comes up in the top 10 search results. I will be manually doing this on a regular basis, but I am looking to see what I can automate as well, so I wanted to see what the first couple of steps I could take to automate this recurring activity.

Some time over a decade ago, the arrival of inexpensive PCB fabrication revolutionised the creation of custom electronics on a budget. It’s now normal for even the smallest projects we featur…

Using cloud resources more conservatively not only saves money but also resources. Check out this episode of The New Stack Makers for more.

Complexity stems from the way a system is subdivided into modules.

As I’m sure many of you know, x86 architecture has been around for quite some time. It has its roots in Intel’s early 8086 processor, the first in the family. Indeed, even the original …

CXL technology has been pushed into the backseat by the Nvidia GTC AI circus, yet Nvidia’s GPUs are costly and limited in supply.