cicd automation

Pragmatic guide for DevOps to ship four Bash-friendly AI projects fast: a sidecar log anomaly detector (Isolation Forest + Slack), predictive autoscaling from Prometheus with AutoARIMA, CI failure triage via TF-IDF/SVM, and terminal runbook semantic search with MiniLM. Includes apt/dnf/zypper setup, ready-to-run scripts, systemd/K8s hooks, and production tips to cut toil, costs, and outages.

AI repos decay fast—deps drift, artifacts bloat Git, notebooks swell, and reproducibility/security slip. This guide codifies maintenance with Bash: install git/git-lfs/jq/python/pipx (apt/dnf/zypper); pin envs with pip-tools; manage weights/data via Git LFS + DVC and prune (git lfs prune, dvc gc); enforce hygiene with pre-commit/nbstripout; add smoke/data/security (bandit) checks; and schedule weekly cleanups via systemd timers or cron.

AI in DevOps gets practical with a Bash-first approach: use curl, jq and your LLM to turn noisy logs into incident summaries, draft conventional commits/PRs, answer system runbook questions with environment context, and auto-propose ShellCheck-guided patches—without heavy tooling. Benefits: faster MTTR, clearer reviews, safer automation; keep humans in the loop, log prompts, limit blast radius, and redact secrets.