Python + AI Automation Scripts Every DevOps Engineer Needs

1. AWS Automation with Python + Boto3

• Script to start/stop EC2 instances based on schedule to reduce non‑production costs.
• S3 backup script that uploads logs, rotates folders by date and applies lifecycle policies.
• Lambda functions in Python that clean stale EBS volumes, snapshots or unused Elastic IPs.

2. CI/CD Pipeline Utility Scripts

• Python script that bumps app version, updates changelog and creates a Git tag before deployment.
• Test runner wrapper that executes unit tests, collects coverage and posts results to Slack or Teams.
• Release validation script that checks required files, env variables and Kubernetes manifests before allowing deploy.

3. Kubernetes & Containers Automation

• Script using the Kubernetes Python client to list pods, restart failing ones and export events for a namespace.
• Cron job container that runs a Python script to take periodic backups (for example database dump → S3).
• Simple rollout helper that checks deployment status after applying manifests and rolls back on failure.

4. Monitoring, Logs and Alerts

• Log parser that scans app logs for errors, groups similar stack traces and sends a daily summary.
• Script that queries CloudWatch / Prometheus metrics and raises alerts when thresholds are crossed.
• Health-check bot that continuously pings URLs and notifies on Slack or email when downtime is detected.

5. AI-Assisted DevOps Scripts

• Python script that uses an LLM API to summarise incident logs and generate probable root‑cause descriptions.
• Chat-style CLI tool where engineers type natural language commands and the AI suggests bash/Python commands or Kubernetes YAML for that task.
• AI assistant that reviews Terraform / Kubernetes files in a repo and comments with optimisation and security suggestions.

6. Day-to-Day Productivity Automations

• Script that syncs local Git repos, cleans old branches and reports stale PRs.
• CLI tool to create Jira / task tickets automatically from failed pipeline events or GitHub webhooks.
• Directory clean‑up job that archives logs, rotates old files and keeps servers tidy.

7. Turning Scripts into Portfolio Projects

• Put each script in a dedicated GitHub repo with README, architecture diagram and sample screenshots.
• Add a section in your resume: “Python & AI DevOps Automation” and list 3–4 strongest projects with impact (for example “reduced manual EC2 cleanup time by 80%”).
• During interviews, walk through the code, how it is scheduled (cron, Jenkins, Lambda) and how you monitor failures.

Learn Python + AI for DevOps with We Tech Zone

In our Python for DevOps and AI Cloud DevOps programs, these kinds of scripts are built end‑to‑end with code reviews, GitHub projects and mock interviews.

For personalised guidance on which automation projects to build for your profile, reach us via the contact page or WhatsApp mentioned on the website.