Coding Tips for Aspiring DevOps Engineers

Want to become a DevOps engineer but feel stuck between writing code and managing servers? You’re not alone. Most people think DevOps is just about tools like Docker or Kubernetes, but the real magic happens in the code you write every day. The best DevOps engineers aren’t just operators-they’re coders who automate the boring stuff so the team can focus on what matters. Here’s how to start coding like one.

Write Scripts That Run Themselves

Use Bash or Python. Bash is fast for simple tasks like checking file existence or parsing logs. Python is better when you need to talk to APIs, handle JSON, or do complex logic. For example, a Python script that pulls the latest build from your CI server, verifies the checksum, and deploys it to three servers? That’s a script that saves hours every week.

Don’t overcomplicate it. Start small. A script that backs up a config file before a deployment is better than no script at all. Save it in a scripts/ folder in your repo. Name it clearly: deploy-web.sh, check-logs.py. Make it executable with chmod +x. Then run it. Watch it work. Then improve it.

Learn Infrastructure as Code (IaC) Early

Start with Terraform. It’s the most widely used tool for this. Write a file that says: “I need one Ubuntu server, port 80 open, with Nginx installed.” Terraform turns that into real infrastructure. No more forgetting which server had which config. No more manual changes that break things.

Here’s a real example: You need a staging environment for testing. Instead of asking your team to set it up, write a Terraform module. Call it staging-web. Run terraform apply. Done. In 30 seconds, you’ve got a clean, repeatable environment. Your teammates can use it too. That’s collaboration at scale.

Don’t wait until you’re “ready.” Start with one resource. One EC2 instance. One S3 bucket. One security group. Get comfortable. Then add more. Version control your Terraform files like you would your application code. Commit them. Review them. Test them.

Automate Your CI/CD Pipeline with Code

Here’s what a real pipeline looks like:

1. Run unit tests when code is pushed to main
2. Build a Docker image if tests pass
3. Push the image to a registry
4. Deploy to staging if the image is valid
5. Send a Slack message when it’s done

Each of those steps is a line of YAML. For example:

name: Deploy to Staging
on: [push]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run Tests
        run: python -m pytest
      - name: Build Docker Image
        run: docker build -t myapp:$GITHUB_SHA .
      - name: Push to Registry
        run: docker push myregistry.com/myapp:$GITHUB_SHA

That’s code. And if you mess it up, your deployment breaks. That’s why you test your pipeline like you test your app. Write a script that simulates the pipeline locally. Use tools like act to run GitHub Actions on your machine. Fix bugs before they hit production.

Start by automating one step. Then another. Before you know it, you’ve built a pipeline that deploys without you touching a single button.

Use Version Control Like a Pro

Use branches. Always. Don’t push directly to main. Create a branch for every change: feature/add-health-check, fix/db-connection-timeout. Use pull requests. Even if you’re working alone. That’s how you force yourself to think before you commit.

Write good commit messages. Not “fixed bug.” Say: “Fix: Redis connection timeout in staging after 300s.” That’s a message someone can search for in six months. Use conventional commits: feat:, fix:, docs:. Tools like GitHub and GitLab use these to auto-generate changelogs.

And never commit secrets. No passwords. No API keys. No AWS tokens. Use environment variables. Use secrets managers like HashiCorp Vault or GitHub Secrets. If you accidentally commit a key, revoke it immediately. Then use git filter-repo to scrub it from history. Yes, it’s a pain. But it’s better than a breached server.

Code Your Monitoring and Alerts

Use Prometheus to collect metrics. Write custom exporters in Python if you need to monitor something unique-like how long your backup script takes to run. Then set up alerts with Alertmanager. For example: “If the backup takes longer than 15 minutes, send a Slack alert.”

Or use Grafana to build dashboards that show your app’s health in real time. A single dashboard with CPU, memory, request latency, and error rates? That’s your command center. You don’t need to log into ten different tools. You just look at one screen.

Write alert rules as code. Store them in your repo. That way, if you rebuild your monitoring system, you don’t have to guess what alerts you had before. You just reapply the config.

Test Your Code Like You’re the First User

Write clear documentation with your scripts. Add a README.md that says: “What this does. How to run it. What it needs.” Use examples. Show the output. Make it so someone who’s never seen your code can run it in 2 minutes.

Write unit tests for your automation scripts. Yes, even Bash scripts. Use shunit2 or write simple assertions with if statements. Test what happens when a file doesn’t exist. Test what happens when a server is unreachable. Your script should fail gracefully-not crash.

And don’t just test your code. Test your whole flow. Run a full deployment from scratch on a clean machine. Use tools like Vagrant or Podman to simulate environments. If it works on your machine but not on the server, you haven’t automated it-you’ve just copied files.

Start Small. Ship Often.

DevOps isn’t about knowing every tool. It’s about building systems that don’t break. And the only way to build those systems is to write code that makes them self-healing, self-deploying, and self-monitoring.

Start today. Write one script. Commit it. Run it. Then write another.

Next Steps: Build Your First Automation

1. Find a repetitive task you do-like restarting a service or checking disk space.
2. Write a Bash or Python script to do it automatically.
3. Run it on your machine.
4. Commit it to a GitHub repo.
5. Set up a GitHub Action to run it every day at 8 AM.

That’s it. You’ve just automated something. You’re now a DevOps engineer.