This article details how to set up a local AI assistant within a Linux terminal using Ollama and Llama 3.2. It explains the installation process, necessary shell configurations, and practical applications for troubleshooting and understanding system logs and processes. The author demonstrates how to use the AI to explain command outputs, interpret journal logs, and gain insights into disk usage and running processes, improving efficiency and understanding for both beginners and advanced Linux users. It also discusses the benefits and limitations of this approach.
Plural is bringing AI into the DevOps lifecycle with a new release that leverages a unified GitOps platform as a RAG engine. This provides AI-powered troubleshooting, natural language infrastructure querying, autonomous upgrade assistance, and agentic workflows for infrastructure modification, all with enterprise-grade guardrails.
Arize Phoenix is an open-source observability library for AI experimentation, evaluation, and troubleshooting, built by Arize AI.
Observe, Inc. launched Kubernetes Explorer, a new observability experience designed to simplify visualizing and troubleshooting in Kubernetes environments, providing DevOps teams and engineers with a comprehensive view of K8s health and performance.
Learn these five essential Linux commands that will help troubleshoot issues on your system. The five commands are: dmesg, tail, ps, kill, and systemctl.
This article discusses the author's experience using ChatGPT to improve their understanding and proficiency in using Linux. Topics covered include navigating complex Linux concepts, understanding Linux commands, troubleshooting errors, automating tasks, and more.
