System Architecture

Wasm affords software developers a rare opportunity to rethink the entire way operating systems work.

Unlock detailed insights with eBPF profiling. Monitor CPU, memory, and network data granularly. Say goodbye to unreliable data.

OpenID Connect started as a ‘consumer grade’ OAuth authorization mechanism, designed around granting another application permissions.

Our mission is to lead the global community in creating identity standards that are secure, interoperable and privacy-preserving.

If the need for data performance optimization suddenly vanishes with generative AI, where do all the skilled data engineers go?

Microsoft researchers are introducing AutoGen, a framework for simplifying the orchestration, optimization, and automation of workflows for large language model (LLM) applications—potentially transforming and extending what LLMs can do. Learn more.

Scientists develop a computing platform called NorthPole that facilitates high inference speed and prediction accuracy.

When I first used an IaC (Infrastructure as Code) tool, I was amazed by how much better it was than clicking buttons in the AWS console. Declarative paradigm and cloud infrastructure are a very useful combination, and since then, I’ve rarely not used IaC, even for smaller projects. Like any structured code, IaC has some pitfalls: the code takes effort and skill to write and can be verbose. Consider this Terraform code:

Solutions for dealing with sample ratio mismatch.

Welcome to the second part of our Debunking Datacenter Compute Myths series. In the first part of this series, which you can see here, as well as in this second part, The Next Platform sat down with Lynn Comp, vice president in AMD’s server business unit, to talk about some persistent datacenter compute myths that

Cloud development environments (CDEs) are a milestone in software development, offering centralized, efficient and cloud-centric workflows.

Global cloud communications platform Infobip has identified five common frauds impacting mobile users in the messaging ecosystem.

Vectors are a foundational element of linear algebra. Vectors are used throughout the field of machine learning in the description of algorithms and processes such as the target variable (y) when training an algorithm. In this tutorial, you will discover linear algebra vectors for machine learning. After completing this tutorial, you will know: What a […]

Vector databases are powerful tools for storing and manipulating large datasets for applications like AI. Learn how to implement one here!

TLDR; Most machine learning models are trained using data from files. This post is a guide to the popular file formats used in open source…

In today's world, the cloud has emerged as the predominant environment for organizations, serving as the nexus for data storage and application workflows.

In this blog post we’ll be going through the fundamentals of API security, including best practices and key considerations for developers and businesses alike.