System Architecture

Credit card rewards are mostly funded out of interchange, a fee paid by businesses to accept cards.

In machine learning and AI, vector embeddings are a way to represent complex data, such as words, sentences, or even images as points in a vector space, using vectors of real numbers.

At the end of the day, the digital circuitry in an FPGA chip are analog circuits. When they are operating within their bounds, they properly behave like ideal digital circuits. Usually you want you…

In the past few years we’ve seen the rise of low-power mesh networking devices for everything from IoT devices, weather stations, and even off-grid communications networks. These radio module…

On The Vergecast: bye-bye QWERTY, AI at Microsoft, and two thumbs up on Netflix.

Git is optimized to work with large numbers of small files, like text files. This alone makes Git impractical for managing such datasets.

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.