network diagnostics

A practical guide to speeding up Linux network diagnosis by pairing classic tools (ip, mtr, traceroute, ss, journalctl) with a private local LLM via Ollama. It includes install steps, a netbundle.sh collector, optional IP redaction, and an ai_net_triage helper to summarize causes and next steps, plus real-world workflows (DNS, Wi‑Fi, throughput/latency, routing), optional cron-based monitoring, and privacy-focused best practices.

AI workloads often fail from network, not code; this Bash-first guide shows how to triage and fix stalls, timeouts, and distributed training hiccups using classic Linux tools and a repeatable workflow: verify DNS and IPv4/IPv6, measure curl timings, trace paths with mtr/traceroute, test throughput via iperf3, audit ports/firewalls, capture TCP/TLS with tcpdump, automate via netdiag.sh, and summarize with a local LLM—plus real-world examples and quick fixes.

Learn a Bash-first, privacy-conscious workflow to debug OpenVPN and WireGuard faster with AI: install a core toolkit via apt/dnf/zypper; collect and redact logs/state; feed a structured SRE prompt to an LLM to summarize timelines, rank root causes, and output safe, verifiable commands. Includes ready-to-run checks for routing/DNS, MTU/MSS, AUTH_FAILED, handshake timeouts, firewall rules, plus a repeatable next checks ladder and team runbook tips.

This blog post provides a detailed tutorial on using `traceroute`, a command-line tool for diagnosing network issues by tracking the path data takes across a network. It guides on installing, running `traceroute`, and analyzing its output to pinpoint network delays or faults. Additional resources are offered for further understanding of network routing and performance optimization.