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Morrolinux: Matrix vs. Chat Control – Why Decentralization Matters

When I talk about Matrix, I’m not introducing “yet another messaging app.” I’m talking about a communication protocol that solves a series of structural problems introduced in centralized platforms. The discussion is not abstract anymore. Between political pressure, regulatory proposals like Chat Control, and the consolidation of large communication [...]

What Everybody Knows About You: Your Employer

What Everybody Knows About You: Your Employer This is the final article in a series about data collection today. We end with tracking by corporate managers. I imagine that most readers of this series, like me, are "knowledge workers" considered part of the "creative class," and therefore can't be tracked like [...]

DevOps Tools Introduction #11: Kubernetes Package Management

Kubernetes consists of many layers and features, with a correspondingly complex declarative set of administration rules. Although it’s important to understand Kubernetes itself, DevOps candidates should also master the most common open source projects that have jumped into the complexity gap to make Kubernetes administration easier. The LPI DevOps [...]

Functional Languages and the Future of Programming (Part 1)

Functional programming is one of the fundamental divisions among programming languages, and can be traced back very early in programming history: notably to LISP and ML. This series interviews leading proponents of some current functional languages to look at their importance and influence. Most of us learned how to program [...]

How NetBird Makes Network Management Simple

It's Friday evening. You're leaving the office when that dreaded call arrives: "The production server isn't responding, can you check it?" You connect to the corporate VPN, but it drops every two minutes. Three hours later, you're still fighting network configs instead of solving the actual problem. This daily frustration [...]

DevOps Tools Introduction #08: Container Infrastructure

While Docker makes it easy to start and manage containers, there must still be a base system hosting the containers. These systems form the infrastructure on which containers run and are covered by objective 702.3 of the DevOps Tools Engineer exam. Container images are the foundation of modern cloud-native infrastructure. [...]

Databases for AI: Should You Use a Vector Database?

The first article in this series laid out the role of vectors in machine learning and LLMs, along with vector representations in software. Now we'll embark on a quick tour of databases and how they meet the modern challenges of AI. Vector Databases Since AI is basically vectors and vectors are [...]

DevOps Tools Introduction #07: Container Orchestration

While individual Docker containers usually run a single program, applications in a microservice architecture are usually composed by combining multiple containers, each contributing a specific set of features that make up the complete application. Coordinating the creation and maintenance of the containers that build an application is the task [...]

Databases for AI: Vectors, Embeddings, and Architecture

Everyone who comments on AI—whether machine learning or more contemporary techniques such as LLMs—notes the enormous volumes of data it requires, as well as the radically novel ways in which data is used. Thousands of new data centers are currently being built—and they're getting larger. So how is all that [...]

DevOps Tools Introduction #06: Container Basics

Container virtualization is one of the major technologies behind modern software architectures. While the concept of container virtualization is rather old, new tools extend the pure virtualization components with numerous features that facilitate the deployment of containerized software. Docker is the most prominent project in that field. Objective 702.1 [...]