DevOps Engineers constantly seek innovative ways to streamline their workflows and enhance productivity.

Artificial Intelligence (AI) models like ChatGPT, based on OpenAI’s GPT-3 architecture, have emerged as powerful tools to assist DevOps professionals in various aspects of their work.

This article explores five exciting ways DevOps Engineers can leverage ChatGPT to supercharge their scripting, automation, pipeline management, monitoring, security tasks, and Kubernetes operations.

Scripting and Automation

For every DevOps Engineer whether he/she is a beginner or an experienced several tasks are too basic yet important and they come once in a while.

It is true that we cannot memorize each and everything that we have used or seen. Hence using ChatGPT in such scenarios can be a great lifesaver because we can easily prompt it and get the desired output.

For instance, I need to create a script that will delete the files older than 7 days and upload the latest 2 files to s3. Also, this job should run every 15 days.

Debugging and Synatx Issues

ChatGPT can be a valuable aid to DevOps Engineers in debugging and resolving syntax issues in files, such as configuration files, scripts, or code snippets.

By leveraging ChatGPT’s language understanding capabilities, DevOps Engineers can quickly identify and rectify errors, saving time and effort in the debugging process.

For instance, I have a script that has some syntax issues but I am too lazy to debug it, and debugging syntax issues can consume a lot of time.

#Script with issue

#!/bin/bash
for file in $(ls /path/to/files)
do
 if [ -f “$file” ]; then
 echo “Processing file: $file”
 # Perform some operation on the file
 # …
 fi
done

Personal Docker and Kubernetes Assistant

Yes, ChatGPT can be your personal assistant to quickly complete your docker and k8s-related tasks.

From creating yml files for Kubernetes to creating multi-stage docker files and docker-compose. ChatGPT can help DevOps engineers easily find suitable commands without going haywire with tons of links on Google.

For example, if you need to deploy a MySQL deployment with service and PVC on a k8s cluster instead of creating a file from scratch you can just ask ChatGPT to do it and later modify it with your needs.

Here is the output that ChatGPT gave to me:-

apiVersion: apps/v1
kind: Deployment
metadata:
  name: mysql-deployment
spec:
  replicas: 1
  selector:
    matchLabels:
      app: mysql
  template:
    metadata:
      labels:
        app: mysql
    spec:
      containers:
        - name: mysql
          image: mysql:latest
          env:
            - name: MYSQL_ROOT_PASSWORD
              value: your-root-password
          ports:
            - containerPort: 3306
          volumeMounts:
            - name: mysql-persistent-storage
              mountPath: /var/lib/mysql

---
apiVersion: v1
kind: Service
metadata:
  name: mysql-service
spec:
  selector:
    app: mysql
  ports:
    - protocol: TCP
      port: 3306
      targetPort: 3306

---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: mysql-persistent-storage
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi

Similarly, for docker, it can be very useful in finding out certain commands that many don’t know for example how can we find out how much space docker is consuming on my server?

These are just the top 3 ways I can think of that can be very useful for DevOps engineers to become fast and efficient in their work.

But yes, you can only utilize ChatGPT to its fullest if you have the subject knowledge, if you don’t know anything and become fully dependent on ChatGPT you will never be able to complete your tasks.

Hence, ChatGPT is great as an assistant to a human and I personally believe it can never replace humans, especially DevOps Engineers for now😂