DEV Community: pawan natekar

Roadmap to Become a DevOps Engineer in 2026 🚀

pawan natekar — Sun, 24 May 2026 10:00:04 +0000

The DevOps roadmap has changed.

A few years ago, learning Linux + Docker + Jenkins was enough to land interviews.

In 2026? Not anymore.

Companies now expect engineers who understand automation, cloud infrastructure, containers, CI/CD, monitoring, security, and real-world troubleshooting.

The good news?

You do not need a computer science degree.
You do not need to memorize 500 commands.
And you definitely do not need to buy expensive courses.

You need the right roadmap.

This guide shows exactly what to learn to become a DevOps Engineer in 2026.

What Does a DevOps Engineer Actually Do?

Before learning tools, understand the job.

A DevOps engineer helps teams:

Build software faster
Deploy applications automatically
Reduce production failures
Monitor systems
Scale infrastructure
Automate repetitive work

In simple words:

Developers write code. DevOps engineers make sure that code runs reliably in production.

Step 1: Master Linux (Non-Negotiable)

If DevOps had a native language, it would be Linux.

Most servers in cloud environments run Linux.

Learn:

File system navigation
Permissions
Users and groups
Process management
Package management
Services (systemctl)
Logs
Networking basics
Disk management
SSH

Important commands:

ls
cd
pwd
cp
mv
rm
chmod
chown
ps
top
kill
df
du
systemctl
journalctl
grep
find
ssh
scp
tar

Do not memorize blindly.

Understand command categories.

Example:

File operations → cp, mv, rm
Process management → ps, top, kill
Permissions → chmod, chown

Project idea:

Set up your own Linux VM and manage it like a production server.

Step 2: Learn Networking Basics

Many beginners skip networking.

Big mistake.

If a deployment fails, networking is often the reason.

Learn:

IP addresses
DNS
Ports
TCP vs UDP
HTTP vs HTTPS
Load balancing
Reverse proxies
SSH
NAT
Firewalls

Useful commands:

ping
curl
ss
netstat
nslookup
dig
traceroute
ip
ifconfig

Understand questions like:

Why is port 8080 not accessible?
Why does DNS fail?
Why does a container connect locally but not externally?

That’s real DevOps.

Step 3: Learn Git & GitHub

DevOps engineers work with source code pipelines.

Git is mandatory.

Learn:

git init
git clone
git add
git commit
git push
git pull
git branch
git merge
git checkout

Concepts:

Branching
Merge conflicts
Pull requests
Tags
Repositories

Project:

Create a GitHub repo for every DevOps project.

Step 4: Learn Shell Scripting

Automation starts here.

If you manually repeat tasks, script them.

Learn:

Variables
Conditions
Loops
Functions
Exit codes
Input/output
Cron jobs

Example:

#!/bin/bash

backup_dir="/backup"

tar -czf backup.tar.gz /var/www

echo "Backup completed"

Project ideas:

Automated backup script
Disk usage alert script
User creation automation
Log cleanup script

Step 5: Learn Python (Basic DevOps Level)

Do you need advanced Python?

No.

Basic automation skills are enough.

Learn:

Variables
Functions
Lists
Dictionaries
Loops
File handling
APIs
Requests library

Use cases:

Infrastructure automation
API integrations
Cloud automation
Monitoring scripts

Example:

import requests

response = requests.get("https://api.github.com")

print(response.status_code)

Step 6: Learn Cloud Computing

Most DevOps jobs are cloud-based.

Pick one cloud provider.

Best choice for beginners:

AWS

Learn:

EC2
S3
IAM
VPC
Route 53
Load Balancer
Auto Scaling
CloudWatch
RDS

Understand:

Shared responsibility model
Security groups
IAM roles
Networking in cloud

Project:

Deploy a simple application on AWS.

Step 7: Learn Docker

Containers changed everything.

Docker is essential.

Learn:

Images
Containers
Dockerfile
Volumes
Networks
Docker Compose

Commands:

docker build
docker run
docker ps
docker stop
docker logs
docker exec
docker images
docker-compose up

Example Dockerfile:

FROM nginx
COPY . /usr/share/nginx/html

Project:

Containerize a Node.js or Python app.

Step 8: Learn Kubernetes

This is where many beginners panic.

Relax.

Learn fundamentals first.

Understand:

Pods
Deployments
Services
ReplicaSets
Namespaces
ConfigMaps
Secrets
Ingress
Persistent Volumes

Basic commands:

kubectl get pods
kubectl get svc
kubectl describe pod
kubectl logs
kubectl apply -f
kubectl delete -f

Project:

Deploy a multi-container app to Kubernetes.

Step 9: Learn CI/CD

DevOps without CI/CD is incomplete.

Learn Jenkins first.

Understand:

Pipelines
Build stages
Test stages
Deployment stages
Webhooks
Artifacts

Simple pipeline:

pipeline {
    agent any

    stages {
        stage('Build') {
            steps {
                echo 'Building...'
            }
        }

        stage('Test') {
            steps {
                echo 'Testing...'
            }
        }
    }
}

Also explore:

GitHub Actions
GitLab CI

Step 10: Infrastructure as Code (IaC)

Manual cloud setup doesn’t scale.

Learn Terraform.

Concepts:

Providers
Resources
Variables
Outputs
State
Modules

Example:

resource "aws_instance" "web" {
  ami           = "ami-123456"
  instance_type = "t2.micro"
}

Also useful:

Ansible

Terraform = provisioning
Ansible = configuration

Step 11: Monitoring & Observability

Production systems fail.

Monitoring catches failures early.

Learn:

Prometheus
Grafana
Alertmanager
ELK Stack

Monitor:

CPU
Memory
Disk
Network
Application logs
Error rates

Questions to solve:

Why is CPU at 100%?
Why is memory leaking?
Why is the app crashing?

Step 12: Learn DevSecOps Basics

Security is no longer optional.

Understand:

Secret management
Container scanning
IAM security
Least privilege
Dependency vulnerabilities

Tools:

Trivy
SonarQube
OWASP basics

Step 13: Build Real Projects

Projects matter more than certificates.

Build:

Project 1

Linux server hardening lab

Project 2

Dockerized application deployment

Project 3

Jenkins CI/CD pipeline

Project 4

Terraform AWS infrastructure automation

Project 5

Kubernetes application deployment

Project 6

Monitoring dashboard with Grafana

Step 14: Certifications (Optional)

Helpful, but not mandatory.

Good options:

AWS:

AWS Cloud Practitioner
AWS Solutions Architect Associate

Linux:

RHCSA
LFCS

Kubernetes:

Common Beginner Mistakes

1. Tool collecting

Learning 20 tools superficially.

Bad idea.

Master fundamentals first.

2. Skipping Linux

Huge mistake.

3. Ignoring networking

DevOps troubleshooting depends on networking.

4. Watching tutorials without building

Passive learning does not create engineers.

5. Memorizing commands

Understand concepts instead.

90-Day Learning Plan

Month 1

Focus:

Linux
Networking
Git
Shell scripting

Daily:

2 hours

Month 2

Focus:

Python basics
AWS
Docker

Build projects.

Month 3

Focus:

Kubernetes
Jenkins
Terraform
Monitoring

Deploy real applications.

How to Get Your First DevOps Job

Create:

GitHub portfolio
LinkedIn profile
Resume with projects

Show:

CI/CD pipelines
Docker projects
Terraform code
Kubernetes manifests

Recruiters love proof.

Final Advice

DevOps is not about collecting certifications.

It’s about solving infrastructure problems with automation.

Start with Linux.

Build projects.

Break things.

Fix them.

Repeat.

That’s how DevOps engineers are made.

If you're starting your DevOps journey in 2026, what are you learning first?

How to Use grep, awk, and sed Like a SysAdmin

pawan natekar — Mon, 18 May 2026 16:28:15 +0000

If you work with Linux, you will eventually spend time reading logs, searching configuration files, and cleaning messy text output.

At first, many people try to do this manually.

Open file. Scroll. Search. Copy text. Repeat.

That works for small tasks.

But sysadmins do not work that way.

They use command-line tools that solve problems in seconds.

Three of the most useful tools are:

grep
awk
sed

If you learn these well, your Linux troubleshooting speed improves a lot.

This post shows practical examples, not textbook definitions.

Why These Three Commands Matter
Imagine these real situations:

You want to find failed SSH login attempts.

You want to extract IP addresses from logs.

You want to replace a wrong server name in a config file.

You want to count repeated entries.

Doing this manually wastes time.

This is where these commands help.

Think of them like this:

grep = find text
awk = extract and process columns
sed = edit and transform text

1. grep: Find What Matters Fast
grep searches for matching text.

Basic syntax:

grep "pattern" filename

Example:

grep "error" app.log

Output:

database connection error
api timeout error

This finds lines containing the word error.

Useful grep Options

Ignore case

grep -i "error" app.log

Matches:

Error
ERROR
error

Helpful when log formats are inconsistent.

Show line numbers

grep -n "server" nginx.conf

Output:

12:server_name example.com;
45:server_tokens off;

Good for config debugging.

Invert match

Show lines that do NOT match:

grep -v "INFO" app.log

Useful when removing noisy logs.

Recursive search

Search inside directories:

grep -r "Listen 80" /etc/apache2

Very useful for config hunting.

Real SysAdmin Example

Find failed SSH login attempts:

grep "Failed password" /var/log/auth.log

Sample output:

Failed password for root from 192.168.1.10
Failed password for admin from 10.0.0.5

This quickly shows suspicious login attempts.

2. awk: Extract and Process Data

awk is excellent when data has columns.

Example file:

alice 5000 IT
bob 7000 HR
john 6500 DevOps

Print first column:

awk '{print $1}' employees.txt

Output:

alice
bob
john

Explanation:

$1 = first column
$2 = second column
$3 = third column

Print Multiple Columns

awk '{print $1, $3}' employees.txt

Output:

alice IT
bob HR
john DevOps

Filter by Condition

Show salaries above 6000:

awk '$2 > 6000 {print $1, $2}' employees.txt

Output:

bob 7000
john 6500

This is very useful for reports.

Real SysAdmin Example

Check logged-in users:

who

Example output:

pawan pts/0 2026-05-18 10:30
john pts/1 2026-05-18 11:00

Extract usernames:

who | awk '{print $1}'

Output:

pawan
john

3. sed: Stream Editing Made Simple

sed helps modify text.

Basic replacement:

sed 's/old/new/' file.txt

Example:

sed 's/dev/prod/' config.txt

If file contains:

server=dev

Output:

server=prod

Replace All Matches

Without global flag, only first match changes.

Use:

sed 's/error/warning/g' app.log

g = global replacement

Delete Lines

Delete blank lines:

sed '/^$/d' file.txt

Very useful when cleaning files.

Edit File Directly

sed -i 's/localhost/db-server/' config.ini

Be careful.

This changes the actual file.

Real SysAdmin Example

Update nginx config:

Before:

server_name oldsite.com;

Command:

sed -i 's/oldsite.com/newsite.com/' nginx.conf

Fast and practical.

Combining Commands Like a SysAdmin

The real power comes from combining tools.

Example:

Find failed SSH attempts and extract IP addresses:

grep "Failed password" /var/log/auth.log | awk '{print $11}'

Output:

192.168.1.10
10.0.0.5

Count repeated IPs:

grep "Failed password" /var/log/auth.log | awk '{print $11}' | sort | uniq -c

Sample output:

5 192.168.1.10
2 10.0.0.5

Now you know which IP is attacking most.

This is real troubleshooting.

Common Beginner Mistakes

Using grep for everything

Yes, grep is useful.

But if you need column processing, use awk.

Editing files with sed without backup

This:

sed -i 's/test/prod/' file.conf

changes the file immediately.

Safer:

cp file.conf file.conf.bak

then edit.

Forgetting quotes

Wrong:

grep error file.txt

Better:

grep "error" file.txt

Especially for complex patterns.

Quick Comparison

Tool	Best Use
grep	Search matching text
awk	Extract/process columns
sed	Replace/edit text

Terraform vs Ansible: Which Should a SysAdmin Learn First?

pawan natekar — Tue, 12 May 2026 16:47:18 +0000

I learned the wrong tool first. It cost me months.

If you are a sysadmin trying to move toward DevOps, cloud, or automation, you have probably asked this question:

*Should I learn Terraform or Ansible first?*

The internet usually makes this confusing.

Some people say Terraform is mandatory.
Others say Ansible is easier and more practical.

The truth is simpler.

They solve different problems.

Picking the right one depends on what you actually do every day.

Let’s break this down in a practical way.

The Mistake I Made

A few years ago, I decided I needed to “modernize” my sysadmin skills.

Everyone was talking about Infrastructure as Code.

So I jumped into Terraform.

I learned providers.
I wrote .tf files.
I practiced creating AWS infrastructure.

It felt productive.

But at work?

I was still manually:

Logging into Linux servers

Installing packages

Editing config files

Restarting services

Managing patching tasks

Terraform was not solving my actual problem.

I was learning for a future job while ignoring current pain.

That was the mistake.

When I switched to Ansible, things changed fast.

Terraform vs Ansible: The Real Difference

People compare these tools like they are rivals.

They are not.

Think of it this way:

Terraform creates infrastructure.
Ansible configures infrastructure.

That is the biggest difference.

What Terraform Actually Does
Terraform is an Infrastructure as Code tool.

Its job is to create infrastructure using code instead of manual clicks.

For example:

Create virtual machines
Create networks
Create security groups
Create load balancers
Provision databases
Manage cloud infrastructure

Example Terraform code:

provider "aws" {
  region = "ap-south-1"
}

resource "aws_instance" "web" {
  ami           = "ami-0abcdef1234567890"
  instance_type = "t2.micro"
}

Run:

terraform init
terraform apply

Result:

Your infrastructure gets created.

No cloud console clicking.

Terraform works great with:

AWS
Azure
Google Cloud
VMware
Kubernetes

Best for people building infrastructure repeatedly.

What Ansible Actually Does?

Ansible is a configuration management and automation tool.

Its job starts after the server exists.

Examples:

Install packages
Create users
Configure Nginx
Deploy applications
Restart services
Patch multiple servers
Update config files

Example:

Inventory:

[web servers]
192.168.1.10
192.168.1.11

Playbook:

- name: Install nginx
  hosts: webservers
  become: yes

  tasks:
    - name: Install nginx
      apt:
        name: nginx
        state: present

    - name: Start nginx
      service:
        name: nginx
        state: started
        enabled: yes
shell

Run:

ansible-playbook -i inventory.ini nginx.yml

Done.

Multiple servers configured in seconds.

That is where Ansible shines.

Simple Analogy

Terraform builds the house.

Ansible arranges everything inside the house.

One creates.

One configures.

Both matter.

Which Tool Should SysAdmins Learn First?

This depends on your current work.

Learn Ansible First If

You spend most of your day:

Managing Linux servers

SSH into multiple machines

Installing software manually

Updating configs manually

Handling patching

Restarting services manually

This describes many traditional sysadmins.

Why Ansible first?

Because you will use it immediately.

Immediate use means faster learning.

Immediate use also means visible impact at work.

Learn Terraform First If
Your work involves:

AWS

Azure

GCP

Kubernetes environments

Building infrastructure repeatedly

Creating test or staging environments

Infrastructure automation

Why Terraform first?

Because infrastructure creation is your real bottleneck.

Practical Learning Roadmap

If I had to start again, this is the order I would follow.

Step 1: Strong Linux Fundamentals

Before automation, understand:

File permissions

Processes

Networking

Package management

Services

SSH

Logs

Shell scripting

Without Linux basics, automation becomes copying commands without understanding.

Step 2: Learn Ansible

Start automating repetitive tasks:

User creation

Package installation

Config management

Service control

Patch automation

This gives quick wins.

Step 3: Learn Terraform

Once cloud becomes part of your workflow:

Learn:

Providers

Variables

Modules

State management

Remote backends

Resource dependencies

Now infrastructure becomes reproducible.

Common Beginner Mistake
Many beginners think:

“Terraform is newer, so I should start there.”

Bad idea.

Tool popularity should not decide learning order.

Your daily problems should.

If your real pain is server management, Terraform will feel disconnected.

If your real pain is cloud provisioning, Ansible may feel secondary.

Context matters.

Do You Need Both?

Yes.

Eventually.

Modern infrastructure often looks like this:

Terraform creates:

Network

Security groups

Ansible configures:

Packages

Application deployment

Config files

Service setup

They work well together.

This is not an either-or career.

It is a sequence question.

And Finally

If you are a traditional Linux sysadmin:

Learn Ansible first.

If you are already working heavily in cloud:

Learn Terraform first.

If you want the safest long-term path:

Linux → Ansible → Terraform

That path gives practical value fast and keeps your career future-ready.

What did you start with first?

How I Train My Linux Brain Daily

pawan natekar — Thu, 07 May 2026 16:37:32 +0000

The small daily habits that made me better at Linux than memorizing commands ever did

I used to think becoming good at Linux meant learning more commands every day.

So I did what most beginners do:

watched tutorials

saved cheat sheets

copied terminal commands

practiced random labs

It felt productive.

But when real problems appeared, I struggled badly.

A broken service.
A permission issue.
A failed deployment.

Suddenly, all those memorized commands felt useless.

That’s when I realized something important:

Linux is not a memory game.
It’s a thinking game.

And the biggest improvement in my Linux journey came from changing my daily habits, not my learning resources.

*The Problem With “Learning Linux”*

Most people approach Linux like this:

“What new thing should I learn today?”

But Linux is not just knowledge.
It’s pattern recognition.

You don’t become good because you know 500 commands.

You become good because you can:

observe systems

read failures calmly

connect causes and effects

troubleshoot logically

That skill is built daily.

Quietly.

My Daily Linux Training Routine

Not fancy.
Not complicated.

Just consistent habits that changed how I think.

1. I Ask One “Why” Question Every Day

Instead of learning ten random commands, I pick one thing and ask:

Why does systemd behave this way?

Why are these permissions required?

Why does this process restart automatically?

Why is this port open?

This habit changed everything.

Because Linux rewards curiosity more than memorization.

2. I Read Logs Even When Nothing Is Broken

This sounds boring until you realize how powerful it is.

Most people open logs only during panic.

I started reading logs during normal days.

Commands like:

journalctl
tail -f /var/log/syslog
dmesg

helped me understand what “healthy” systems look like.

And once you know normal behavior, abnormal behavior becomes obvious.

That’s real troubleshooting.

3. I Replay My Mistakes

This one helped me more than courses.

Whenever I break something, I revisit it later and ask:

What assumption did I make?

What clue did I ignore?

Why did I panic?

Linux mistakes repeat themselves.

If you study your failures carefully, they become shortcuts for future problems.

4. I Stop Guessing and Start Layering
Earlier, my troubleshooting looked like this:

restart service

reboot server

search random fixes online

Now I slow down and check layers:

Is the process running?
Is the service healthy?
Are permissions correct?
Is networking working?
Are dependencies available?
What changed recently?

Linux systems are layered systems.

If you debug randomly, you get lost.
If you debug layer by layer, problems become manageable.

5. I Explain Linux in Simple Words

One strange habit helped me deeply:

I started explaining Linux concepts as if I were teaching a complete beginner.

Not using complex words.
Not trying to sound smart.

Just simple explanations.

Because if I cannot explain:

permissions
processes
services
mounts
networking

in simple language…

then I probably don’t understand them properly myself.

6. I Spend Less Time Watching Tutorials

This may sound controversial.

Tutorials are useful.
But passive learning creates fake confidence.

You feel smart while watching.

Real growth happens when:

things fail
errors appear
commands don’t work
systems behave unexpectedly

That’s where Linux thinking develops.

7. I Treat Errors as Information

Earlier, red text made me nervous.

Now I treat errors like clues.

Linux errors usually tell you:

what failed
where it failed
why it failed

The problem is not Linux.

The problem is that beginners panic before reading carefully.

The Biggest Shift in My Linux Journey

Earlier I asked:

“Which command fixes this?”

Now I ask:

“What is the system trying to tell me?”

That mindset shift made Linux less scary and more logical.

Why This Matters for Jobs
In real jobs, people rarely care about command memorization.

They care about:

troubleshooting ability

debugging mindset

calm thinking

understanding systems

Anyone can copy commands from the internet.

But not everyone can diagnose problems logically.

That’s the real skill companies value.

And Finally

My Linux growth accelerated when I stopped trying to become a “command expert.”

Instead, I focused on becoming:

observant
patient
analytical
system-oriented

That’s how you train your Linux brain.

Not through endless tutorials.
Not through memorization.

But through daily thinking habits that slowly change how you see systems.

VPN vs Proxy Explained in 5 Minutes

pawan natekar — Sun, 03 May 2026 09:30:30 +0000

What is the real difference and when should you use each

When people first hear about privacy tools on the internet, two names come up again and again. VPN and Proxy. Many think they are the same. They are not. They solve similar problems but in very different ways.

This article will explain the difference in a simple and clear way. No heavy words. Just what you need to understand and use them correctly.

The basic idea

Both VPN and Proxy act like a middle person between you and the internet.

Instead of your device talking directly to a website, your request goes through another server first. This hides your real IP address.

But how they do it and how much they protect you is very different.

What is a Proxy?
A Proxy server is a simple gateway.

It takes your request, sends it to the website, and brings back the response.

Simple example

You want to open a blocked website.

Instead of connecting directly, you use a Proxy.

The website sees the Proxy server’s IP, not yours.

That is it.

Key points about Proxy
Works at the application level

Usually used in browsers or specific apps

Does not encrypt your data in most cases

Faster because it is simple

Less secure

Real life analogy
Think of a Proxy like asking a friend to buy something for you. The shopkeeper sees your friend, not you. But anyone watching the road can still see what your friend is carrying.

What is a VPN?
A VPN is more powerful.

It not only hides your IP address but also encrypts your entire internet traffic.

Simple example

You connect to a VPN.

All your data goes through an encrypted tunnel.

Even your internet provider cannot see what you are doing.

Key points about VPN

Works at the system level

Covers all apps and traffic

Encrypts your data

More secure

Slightly slower due to encryption

Real life analogy
A VPN is like putting your data inside a locked box and sending it through a private tunnel. No one can see what is inside, not even your internet provider.

Side by side comparison

Security

Proxy
Basic hiding of IP
No strong protection
VPN
Strong encryption
High level of privacy

Coverage

Proxy
Works only for one app like a browser
VPN
Works for the whole system

Speed

Proxy
Faster because no encryption
VPN
Slightly slower due to encryption

Use case

Proxy
Access blocked websites
Quick tasks
VPN
Secure browsing
Public WiFi safety
Privacy protection

Common misconceptions

Misconception 1

Proxy and VPN are the same

They are not. A Proxy only hides your IP. A VPN protects your data.

Misconception 2

Proxy is enough for privacy

Not really. Your data can still be seen by others.

Misconception 3

VPN makes you fully anonymous

No tool gives 100 percent anonymity. VPN improves privacy but does not make you invisible.

When should you use a Proxy
You just want to access a blocked website

You need a quick and simple solution

Security is not your main concern

When should you use a VPN?

You are using public WiFi

You care about privacy

You want to secure all your internet activity

You want to hide your activity from your ISP

Final thoughts
If you only remember one thing, remember this.

A Proxy hides your identity at a basic level.
A VPN protects your identity and your data.

For casual use, a Proxy can work.
For real privacy and safety, a VPN is the better choice.

Understanding this difference will help you choose the right tool instead of using the wrong one and thinking you are safe when you are not.