IT Automation with AI: Scripts, Monitoring & Security

Explore how Claude, ChatGPT, and Gemini empower IT engineers to turn error analyses into fast, context-aware solutions with organized root causes, fixes, and exact commands.

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Write a bash script that checks disk usage on all mounted file systems, alerts when usage exceeds 18%, logs with a timestamp to /var/log/disk_check.log, and can run hourly via cron.

Compare disk usage monitoring scripts generated by sha-gpt, cloud, and Gemini; learn to deploy a bash disk monitor with cron scheduling, log, and email alerts.

Explore how AI assistants read logs and scripts, write production ready code and docs, and explain errors, while noting they don’t access systems by default and must be tested.

Discover the three-step IT prompt formula—rule, context, and tasks—that defines role, provides detailed context, and specifies the exact output you want from an AI assistant.

Deploy six ready-to-use templates for log analysis, script generation, error troubleshooting, performance diagnostics, security audits, and runbook documentation, building a personal prompt library for IT automation with AI.

Learn to create an environment context block to tailor AI assistant responses with your environment details, such as Ubuntu 24.04, Nginx, MySQL, PHP, and a service account.

Validate AI-generated scripts before execution by reviewing safety, environment assumptions on Linux systems, and using dry runs to prevent data loss in var log.

Analyze server logs quickly using ai assistants to diagnose 502 errors in Nginx by reviewing the error log, identifying upstream issues, and following step-by-step PHP FPM checks.

Diagnose high CPU and slow responses with EIAssistant, interpret top output and load average, identify MySQL as the bottleneck, and apply step-by-step investigation commands.

Explore how AI-assisted alerts translate CPU thresholds into actionable insights, explain still time, identify root causes like host contention, and guide fixes for VMware environments.

Simulate end-to-end IT incident from alert to resolution with AI assistant guiding detection, evidence collection from nginx error log, syslog, and journalctl, root-cause analysis, and a prioritized fix plan.

Generate an incident report from troubleshooting with an AI assistant, detailing the incident summary, timeline, root cause, fix, and prevention. Export the report to Word for easy sharing with managers.

Identify and fix common AI troubleshooting mistakes: always pass the last 15 or 100 log lines, copy exact error messages, read recommendations before executing, and document the incident report.

Learn to generate PowerShell scripts from plain English with AI, automate Windows disk space monitoring, set 85% and 95% thresholds, log and email alerts, and implement production-ready error handling.

Generate a Windows PowerShell disk monitor script, run and validate disk usage thresholds, log results, suppress duplicate alerts for an hour, and schedule the task to run every 30 minutes.

Automate file cleanup and organization by building a dry-run PowerShell script to compress, archive, and delete old log files, freeing disk space on Windows servers.

Automate backup processes by defining what to back up, where to store, and retention periods, then verify, log, and alert on failures with a production-ready Linux script using MySQL dump.

Design and implement a complete automated backup system for Ubuntu 24.04 Linux that backs up website files and a production database, with retention, alerts, and daily reports.

Enforce secure MySQL credentials with a config file, avoid hard-coded passwords, and implement a structured backup workflow using tar, gzip, and MySQL dump, with system timer, restore testing, and alerts.

Run a shell backup script with permissions to create website and mysql backups, including compression and verification. Store backups in /mnt under daily and weekly folders with retention cleanup.

Test the restore.sh script on linux by selecting a backup timestamp, restoring website files and production.sql with sudo privileges, and verifying archives, mysqldump, and potential restore failure when data changes.

Identify and fix mistakes in automated backup scripts, such as mysql access denied, missing backup directory, and cron issues, by using a dedicated minimal-permission backup user and absolute paths.

Learn to monitor cpu, memory, and disk usage, define healthy thresholds, and build a proactive monitoring system that produces a timestamped health report.

Create smart alerts that fire on threshold transitions, use a four-hour throttle to reduce noise, and build a script that includes host name, metric, value, threshold, time, and immediate actions.

Build a production-ready monitoring and alert system for a Linux server that tracks CPU, memory, disk, and top services, throttles alerts, and emails a daily HTML report at 7am.

Diagnose network issues quickly by a layer-by-layer flow from DNS to the application, using ping, nslookup, HTTP tests, traceroute, port and TLS checks, guided by AI.

Build a real batch-based network diagnostic tool that runs connectivity, DNS, port, and interface tests, generates a colored, formatted report, and indicates overall health for remote diagnostics.

Run a Claude-based network diagnostic to validate connectivity, DNS resolution, and port status, including interface statistics, to determine overall health as healthy.

Identify common network health report mistakes and fix them by using tcp connection test when ecmp is blocked, applying html css classes, creating reports directory, and emailing the html report.

Use an AI assistant to generate AWS EWS CLI and Azure CLI commands, filter stopped instances, and display ID, name, instance type, and last stop in a readable table.

Learn how to use an AI assistant to auto-generate complete runbooks from scripts, covering purpose, prerequisites, installation, scheduling, verification, alerts, troubleshooting, and removal for Linux systems.

Explore using an AI assistant to analyze Linux log files for security issues, identify brute-force and sudo abuse patterns, assess risk levels, and generate actionable recommendations.

Leverage AI to build a security hardening grid for an Ubuntu 24.04 web server (Nginx, PHP-FPM), covering updates, SSH hardening, and UFW firewall rules.

Pull EWS cost and usage data with the EWS CLI and cost explorer. Generate HTML report showing current and preview month spend, top services, region and environment breakdown, and forecast.

Identify mistakes in the cost reporter script, such as access denied on cost explorer. Fix by enabling cost allocation tags, granting read-only iam access, and using yesterday as end date.

Develop and run a security audit script for Ubuntu 24.04 that scores and reports SSH, firewall, user accounts, services, file permissions, and remediation steps in an HTML report.

Organize a prompt library into categories like incident response, scripting, log analysis, and security, with environment context embedded, and complete the 20-minute assignment to add, test, and refine five prompts.

Design and unify your IT automation system by connecting monitoring, alert, backup, security audit, and reporting components under a crown scheduler that runs metrics, backups, and daily reports.

Learn to build an IT automation system by creating folders under /var/log/automation for metric, statue, backup, and security, and generating a centralized bash config file for all scripts.

Craft a comprehensive test plan for an IT automation system with metric, collector, alert engine, backup, and report generator; validate normal operation, threshold triggers, filer scenario, and recovery scenarios.

Explore how AI generates and coordinates a complete IT automation system, producing production-ready bash scripts for metric collection, alerting, backup, reporting, and security audits, aligned to a visual blueprint.