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Practical, Bash-first guide to triaging massive logs at 3 AM by pairing ripgrep/jq/lz4 streaming with lightweight AI: pre-filter and shard data, auto-learn log templates (Drain3), detect spikes/outliers (IsolationForest), and optionally summarize with a local LLM (Ollama). Includes runnable commands, an NGINX 502 case, and tips to normalize noise, tune windows, and build a reusable incident toolkit.