๐ What You Need
- ChatGPT (Free or Plus)
- Optionally: GitHub Copilot or other LLM-powered IDE assistants
- Access to your terminal and preferred code editor
- Internet access for integration validation
๐ง 1. Script Automation
Goal: Generate scripts for automation tasks (shell, Python, config files)
Example Prompt:
“Write a bash script to back up the /var/www directory daily and compress it with a timestamp.”
Result:
ChatGPT outputs a fully functional bash script:
#!/bin/bash
TIMESTAMP=$(date +"%Y%m%d_%H%M%S")
tar -czf /backup/www_backup_$TIMESTAMP.tar.gz /var/www
๐ข Modify with ChatGPT in seconds: โAdd logging and rotate backups older than 7 days.โ
๐๏ธ 2. Infrastructure as Code (IaC)
Goal: Generate Terraform/Ansible/CloudFormation templates
Example Prompt:
โCreate a Terraform script to deploy an EC2 instance with an attached security group allowing HTTP and SSH.โ
Result:
ChatGPT gives a working .tf configuration file with:
- Provider config
- EC2 resource block
- Security group with ingress rules
๐ก You can follow up with:
โAdd tags, auto-scaling, and integrate with a load balancer.โ
๐ 3. Monitoring Setup
Goal: Create monitoring strategies and alerts
Example Prompt:
โCreate a Prometheus alert rule for CPU usage > 85% for 5 minutes on any EC2 instance.โ
Result:
ChatGPT outputs an alerting rule YAML block:
alert: HighCPUUsage
expr: avg(rate(node_cpu_seconds_total{mode="user"}[5m])) > 0.85
for: 5m
labels:
severity: warning
annotations:
summary: "High CPU usage detected"
๐ Can also ask:
โExplain Grafana panel setup for Kubernetes pod memory usage.โ
๐ ๏ธ 4. Troubleshooting
Goal: Analyze logs and resolve issues
Example Prompt:
โThis is my NGINX error log:
upstream timed out (110: Connection timed out) while reading response headerโ what does it mean and how do I fix it?โ
Result:
ChatGPT breaks it down:
- Explains root cause (backend too slow)
- Suggests increasing
proxy_read_timeout - Offers config file snippet to fix it
๐ Paste logs directly, ask for insights.
๐ 5. CI/CD Pipeline Design
Goal: Generate workflow templates
Example Prompt:
โCreate a GitHub Actions workflow to build a Docker image and push to Docker Hub on every push to
main.โ
Result:
ChatGPT generates .github/workflows/docker-build.yml:
jobs:
build-and-push:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Build Docker Image
run: docker build -t myuser/myapp:latest .
- name: Push to Docker Hub
run: |
echo "${{ secrets.DOCKER_PASSWORD }}" | docker login -u "${{ secrets.DOCKER_USERNAME }}" --password-stdin
docker push myuser/myapp:latest
๐ง Modify it easily: โAdd cache and build matrix for Node.js 16, 18, 20.โ
๐ 6. Security Scanning
Goal: Understand scan results and fix issues
Example Prompt:
โExplain this Trivy report and suggest remediations.โ
(Paste a sample vulnerability scan)
Result:
ChatGPT:
- Identifies high CVEs
- Explains each vulnerability in simple terms
- Suggests upgrade paths or package replacements
Bonus:
โGenerate a report summary with remediation checklist.โ
๐ 7. Capacity Planning
Goal: Plan resource scaling and budgets
Example Prompt:
โAnalyze these CPU and memory usage logs (paste JSON or CSV). Recommend scaling plan for Kubernetes nodes.โ
Result:
- ChatGPT plots rough resource curves
- Identifies peak usage patterns
- Recommends autoscaling thresholds
- Suggests cost estimates if asked
๐ 8. Documentation
Goal: Generate operational docs, runbooks, deployment instructions
Example Prompt:
โWrite a runbook for restarting a failed Kubernetes pod, with kubectl commands and verification steps.โ
Result:
ChatGPT writes:
- Step-by-step recovery
- Verification with
kubectl get pods - Monitoring and alert escalation notes
๐ฉ Also try:
โDocument this CI/CD pipeline for junior engineers.โ
๐ Summary Cheatsheet
| Task | ChatGPT Can Help With |
|---|---|
| ๐ Script Automation | Shell/Python/config files |
| ๐งฑ IaC Templates | Terraform, Ansible, CloudFormation |
| ๐ Monitoring | Prometheus/Grafana config, alerts |
| ๐งฏ Troubleshooting | Logs, errors, quick fixes |
| ๐ CI/CD | Jenkins, GitHub Actions, GitLab CI |
| ๐ Security | Scan analysis, remediation plans |
| ๐ Capacity | Scaling plans based on logs |
| ๐ Documentation | Runbooks, deployment guides |
