Databases
In this blog post, we will show you how to install Drupal on Ubuntu 26.04 OS. Drupal is a popular ... Read More The post How to Install Drupal on Ubuntu 26.04 appeared first on RoseHosting.
Linux
In this blog post, we will explain how to tune Nginx performance tuning on Ubuntu 26.04 for High-Traffic Websites. Nginx ... Read More The post Nginx Performance Tuning on Ubuntu 26.04 for High-Traffic Websites appeared first on RoseHosting.
Linux
In this blog post, we will compare AlmaLinux 10 vs Ubuntu 26.04 vs Debian 13. We will identify the Linux ... Read More The post AlmaLinux 10 vs Ubuntu 26.04 vs Debian 13: Which Linux Distro for Your VPS in 2026? appeared first on RoseHosting.
Machine Learning and AI
arXiv:2607.09668v1 Announce Type: new Abstract: Ground truth datasets play a fundamental role as reference values in the training and evaluation of machine learning models. This position paper argues that ground truths are not neutral objective measurements that are naturally given, but instead that they are constructed by arrangements of humans and technologies. We argue that the ML community will benefit from articulating and discussing these often invisible or unreported choices and acknowle
Machine Learning and AI
arXiv:2607.09664v1 Announce Type: new Abstract: To provide a structured and interpretable assessment, we decompose the image-based diagnosis into components following the Toulmin model of argumentation. This model consists of a claim, grounds, warrant, qualifier, rebuttal, and backing. Consider a claim generated by a machine learning (ML) model for retinal diagnosis. Rather than accepting this claim at face value, one could either apply explainable AI (XAI) methods or adopt an argumentation-bas
Software Engineering
Hardware
Machine Learning and AI
Science
CSTA 2026 didn’t start until noon today so I spent some time exploring. I wondered around the French Quarter. Bourbon street is not the same at 8AM as it is at 8PM for sure. But I found some good food and am snacking on a beignet as I write this up. I snuck into the exhibit hall before it opened to take pictures of some of the booths. They’ll probably wind up in a blog post after the conference. While snooping around I was able to talk to one of the outstanding people in computer science in
Linux
Machine Learning and AI
Web Development
Software Engineering
Science
Distributed Systems
By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan FisherA deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale — from streaming architectures and distributed aggregation pipelines to time-travel queries and the methodology that made it work.IntroductionIn our first post, we introduced the problem: engineers at Netflix needed a unified, real-time view of service dependencies to troubleshoot faster, understand blast
Data Engineering
Unity Catalog was designed for interoperability at scale. Enterprises have the flexibility...
Distributed Systems
cot.rs 0.7 is here! This release packs in a wide range of improvements across forms, the ORM, security, and developer ergonomics. Have a look at the latest changes in the Rust web framework for lazy developers. submitted by /u/m4tx [link] [comments]
Machine Learning and AI
Large language models (LLMs) have emerged as powerful applications in the field of natural language processing,9,18,19 exhibiting human- and even superhuman-level performance across various tasks. Innovations in neural network architectures25 and increased computational power24 have led their evolution into state-of-the-art artificial intelligence (AI) systems that understand and generate text with remarkable fluency and coherence. For example, GitHub Copilot,a developed in collaboration between
Developer Tools
Science
Hello Rustaceans! Because any other alternatives to property-based testing wasn't actually satisfactory for me, and I've been missing Hedgehog-styled library in Rust, I've written mr-prop, a property-based testing library. https://crates.io/crates/mr-prop Instead of implementing a type class that would provide a generator, the mr-prop API is fully concentrated around Gen interface, which is very similiar to Iterator trait. Gen purpose is to just generate a test case and shrink tree in the same A
Networking
Networking
AWS Builder Center turned one year old last week. Launched on July 9, 2025, the platform has grown from a community hub with Wishlist voting, community profiles, and a toolbox into a full ecosystem with sandbox environments, workshops, Spaces, and a Builders’ Library. To mark the anniversary, Rick Suttles published a full feature timeline covering everything shipped over the past year: AWS Capabilities by Region (1,500+ services across 37 Regions), Spaces for community-created groups, workshop
Machine Learning and AI
Self-Hosting
Some more of my notes from Thoughtworks Future of Software Development Retreat. When we had our first retreat in Utah early this year, nobody had heard of Harness Engineering. This time we had a whole session on it. When comes to the guide side of harnesses, most of the discussion is about context management. While context windows have increased is size as models get more sophisticated, that doesn’t mean that models will properly focus on the right bits. Models typically only focus attention
Mathematics
Developer Tools
Huh? Honeypots? So if you don’t know what a honeypot is: it’s a trap. It pretends to be a bunch of different vulnerable services, like a web, SSH, TCP server, in order to lure attackers in and collect data about them: which creds did they use to auth, which commands they run, what files they read, etc. Crap, I can’t help but make an analogy here. It’s like erecting a huge, realistic fake bank building on the corner of Main Street and Park Avenue. You fill it with fake prop money, thousan
Machine Learning and AI
LangGraph is a versatile Python framework designed for stateful, cyclic, and multi-actor Large Language Model (LLM) applications. LangGraph builds upon its parent library, LangChain, and allows you to build sophisticated workflows that can handle the complexities of real-world LLM applications. Throughout this LangGraph tutorial, you’ll build a complete email-processing agent from the ground up. By the end of this tutorial, you’ll understand that: You can use LangGraph to build LLM workflow
Infrastructure and DevOps
Security and Cryptography
Sensagraph scans your live Laravel applications from the outside; surfacing SQL injection, XSS, open ports, misconfigurations, and weak TLS before attackers find them. The post Find the Security Vulnerabilities in Your Laravel App with Sensagraph appeared first on Laravel News. Join the Laravel Newsletter to get all the latest Laravel articles like this directly in your inbox.
Infrastructure and DevOps
My husband runs a pop-up bakery called Molta, and he needed a website. Nothing fancy: who he is, what he bakes, where to find us, etc. For a site this small, the obvious move is to pay for a Squarespace site (or something similar), click a few templates together, and be done in an afternoon. But why do that when I can do it myself! If you’ve ever wondered what it actually looks like to host your own static site on AWS, this guide is for you — some AWS experience helps, but it isn’t require
Look at the past history of this blog. There are many blog posts about programming with AI, a few of them date back to January 2024 (like this: https://antirez.com/news/140). I’m a relatively well regarded programmer, after all. I don’t have the need to still be in the “loop” as a old man that seeks for relevance, I recently rejoined Redis, and now I also am developing a new open source software for local LLM inference that received a good welcome in the community. Why I keep doing this,
Machine Learning and AI
Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations. As retention requirements grow and organizations seek to extract more operational insights from video, traditional on-premise storage models are becoming increasingly difficult and expensive to scale. March Networks is a global prov
Data Engineering
Insurance fraud remains a significant challenge for the insurance industry. Fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers. Traditional fraud detection approaches typically rely on rules-based controls, manual investigation triggers, historical claim patterns, and structured-data-only analysis. These approaches are useful for known fraud patterns, but they can struggle to detect sophisticated fraud
Databases
If you've heard one thing about pg_hardstorage, it's probably that "it works against managed PostgreSQL". This post is about the one architectural choice that makes that true, and the consequences that fall out of it. The choice: data plane = libpq + replication protocol pg_hardstorage's agent connects to PostgreSQL the same way a streaming replica does. A normal libpq connection, with the replication attribute set. The agent reads WAL using START_REPLICATION SLOT on a persistent physical
Rust
https://github.com/OSXBasedAnon/alphanumeric purely written 100% in Rust submitted by /u/dogehound [link] [comments]
Databases
How does the database decide on the order, when it is not specified? What about performance? Can returned pages overlap? Meaning: might item from page 1 suddenly appear on page 2, even if the underlying data stays the same?
Software Engineering
arXiv:2607.08774v1 Announce Type: new Abstract: Reliability in large language model (LLM) systems is typically framed as a function of model capability. We challenge this by demonstrating that reliability is significantly influenced by \emph{inference-time control} -- the computational layer governing task framing and context selection. We introduce \emph{CogniConsole}, an architectural instantiation that externalizes this control into a structured interface combining programmatic coordination
Machine Learning and AI
arXiv:2607.08778v1 Announce Type: new Abstract: Alzheimer's Disease (AD) is a complex neurodegenerative disorder that continues to impact millions of people worldwide. Predicting AD conversion during the prodromal stage remains critical for disease understanding and patient care. As such, survival models are widely used for AD risk prediction, yet they are typically static predictors with limited interpretability and no capacity for natural language reasoning. In this work, we propose iLENS, an
Algorithms
Open Source
I wanted to run LLM models locally on my machine. I discovered that llama.cpp is how people run models locally, and that the popular LLM servers like Ollama and lmstudio and unsloth use llama.cpp under the hood. llama.cpp is, of course, written in C++. I don't care for C++ and I prefer Common Lisp. With the appropriate declarations, Common Lisp code should be in the same performance ballpark as C++ code. So I decided to write a Common Lisp implementation of llama.cpp, which I c
Machine Learning and AI
Programming Languages
Machine Learning and AI
Developer Tools
Python
Seven years ago I used Google's text-to-speech API to create audio versions of my posts. Now I can run an 82-million-parameter open weight model locally on my laptop, for free.