heydevops_telugu

The Day I Finally Understood Git, GitHub, and Jenkins
When I started learning DevOps, everyone kept talking about Git, GitHub, and Jenkins.

I memorized definitions.

Git is a version control system.
GitHub hosts repositories.
Jenkins automates CI/CD.

But honestly, I didn't understand them.
Then someone explained it using a railway story.
And suddenly everything clicked.

Imagine you're building a train

You and your team are constantly improving it.

Every time you make a change, you write it down in a maintenance log:

Added a new coach
Fixed the engine
Repainted the train
Improved fuel efficiency

This log keeps the complete history of every modification.
That's Git.

Git is simply the system that tracks every change made to your project.

Now imagine 50 engineers are working on the same train
Keeping the logbook on one engineer's desk would be chaos.

So the railway company creates a central station where everyone can upload their updates, review each other's work, and collaborate.
That's GitHub.

GitHub is the central place where Git repositories are stored and shared.

Git = The logbook.
GitHub = The station that stores and manages those logbooks.

But how do we know the train is still safe?
Every time an engineer submits a change, an automated inspector immediately starts checking:

Did anything break?
Is the engine still working?
Are all safety tests passing?
If everything looks good, the train is approved.
If not, the engineer gets notified instantly.
That's Jenkins.

Jenkins automatically builds, tests, and validates changes.
So in one picture:

Project = Train
Git = Train maintenance logbook
GitHub = Central railway station where all logbooks are stored
Jenkins = Automated train inspector checking every modification

The biggest lesson?

Many technical concepts become easy when you stop memorizing definitions and start connecting them to real life.

That's when learning turns into understanding.

#Git #GitHub #Jenkins #DevOps #SoftwareEngineering #Programming #Learning #Freshers #TechCareers #CI_CD

Skip the Carousel

1 2

1 day ago | [YT] | 54

heydevops_telugu

A few years ago, if someone had asked me the difference between 172.16.0.0/12 and 192.168.0.0/16, I probably would have opened Google before answering. 😅



Like many engineers, I started my networking journey memorizing IP ranges, subnet masks, and CIDR notations just to pass exams.



But the real learning happened later.

It happened when:



A server couldn't reach another subnet.

DHCP stopped assigning addresses.

A "simple" network issue turned into hours of troubleshooting.

IPv6 suddenly became part of the conversation.



That's when I realized networking isn't about memorizing numbers.

It's about understanding the language that devices use to communicate.

Today, whenever I mentor someone starting in networking, cloud, or infrastructure, I tell them:



Master the fundamentals.

Cloud platforms change.

Tools evolve.

Architectures modernize.



But IP addressing, subnetting, routing, and networking fundamentals remain the foundation of everything we build.



I created/saved this simple IP Addressing Guide as a quick refresher. Sometimes one page is all you need to reconnect with the basics.



What's one networking concept that finally "clicked" for you after struggling with it for a while?



Share your experience in the comments.



#Networking #CloudComputing #NetworkEngineering #CCNA #IPv4 #IPv6 #LearningJourney #TechCareers #Infrastructure #CareerGrowth

3 days ago | [YT] | 58

heydevops_telugu

This is not just a 90% ATS-scored resume [ Read each line of Resume ]
It’s a story of late nights, production issues, learning curves, failed deployments, successful releases, and continuous growth.

From managing Linux servers to architecting scalable AWS environments…
From manual deployments to complete CI/CD automation…
From solving infrastructure issues to enabling business reliability…
Every line on this resume represents:

Challenges solved
Skills earned through experience
Pressure handled in real-time
Continuous learning in a rapidly changing tech world

Over the past few years, Harshith learned that DevOps is not only about tools like AWS, Jenkins, Docker, Kubernetes, or Terraform.

It’s about creating systems that help businesses move faster, safer, and smarter.
What excites most is that technology never stops evolving — and neither should we.

The journey continues… ☁️🔥

PS: Save this post and share with your community

#DevOps #AWS #Cloud #Automation #CareerJourney #Linux #CloudComputing #CICD #TechCommunity #GrowthMindset #Infrastructure #OpenToWork

1 week ago | [YT] | 50

heydevops_telugu

Once a newly joined fresher in my team renamed a branch incorrectly and he thought it broke the entire project.

As a fresher, Git looked terrifying:
merge, rebase, hotfix, pull request… felt like another programming language.

But over time I understood something important:
Git branching strategies are not just workflows.
They are communication systems for developers.
Here’s a quick breakdown

🔹 Feature Branching → One branch per feature
🔹 GitFlow → Structured workflow for large projects
🔹 GitLab Flow → Environment-focused deployments
🔹 GitHub Flow → Lightweight & deployment-friendly
🔹 Trunk-Based Development → Fast integration with short-lived branches

Every company chooses differently based on:

Team size
Release frequency
Deployment style
Project complexity

As a fresher, understanding branching strategies made me feel more confident contributing to real projects 🙌

Watch my youtube channel for any job help - lnkd.in/gG_kUnHk

What scared you most when learning Git?

1 week ago | [YT] | 6

heydevops_telugu

“Most Admins Are Faking It”
Hot take:90% of “Linux experts” only use 10 commands repeatedly.
cd




ls
grep
ssh
sudo
…and .....

The industry romanticizes Linux like it’s some elite hacker cult, but real-world server administration is less about memorizing commands and more about:

troubleshooting under pressure
understanding systems
automating boring work
not breaking production at 2 AM

You don’t become senior because you memorized netstat.
You become senior when people trust you during outages.

Agree or disagree?

Upskill in Linux Server Administration - lnkd.in/ggau2bTf

Checkout the Handson Projects - lnkd.in/g7H9YgWY

#Linux #DevOps #SysAdmin #CloudComputing

2 weeks ago | [YT] | 74

heydevops_telugu

2026 lo freshers ki software side jobs untaya? — Untayi. Kani easy ga matram undavu. yt.openinapp.co/kbb9z

Video lo cheppina warning lo konni nijalu unnayi, especially AI impact, layoffs, skill saturation gurinchi. Kani “IT complete ayipoyindi” ane level ki vellaledu.

Reality enti ante:



Average skills tho job dorakatam kashtam avutundi

Strong practical skills unna vallaki chances inka unnayi

Companies ippudu “degree” kanna “can you build?” ane angle lo chustunnayi



2026 lo demand ekkada untundi?



Freshers ki mainly opportunities untayi:

AI + AI tools integration

Full stack development

Cloud / DevOps

Cybersecurity

Data engineering

Mobile apps

Automation testing

Low-code + enterprise tools

Biggest mistake freshers chestunnadi

Chaala mandi:

only courses complete chestaru

certificates collect chestaru

but projects/building experience undadu

Ippudu market lo companies expect chestunnayi:

GitHub projects

internships

problem solving

communication

adaptability

Reality check

Video lo cheppina “job security ledu” ane point mostly correct.

IT industry lo:

continuous learning compulsory

5 years same skill tho survive avvadam kastam

AI repetitive work ni replace chestundi

Kani AI valla new roles kuda create avutunnayi.

Example:

Before:

manual coding only

Now:

AI-assisted development

prompt engineering

AI workflow automation

system design + architecture importance perigindi

Freshers em focus cheyyali?

Strong fundamentals

DSA basics

DBMS

OOP

Networking basics

One specialization pick cheyyandi

Example:

Java Full Stack

MERN

Data Engineering

Cloud

Daily build cheyyandi

Small apps / APIs / automation projects

LinkedIn + GitHub strong ga maintain cheyyandi

Communication improve cheyyandi

Idi chaala underrated skill.

Final reality

IT safe aa?

100% safe kaadu

But high-growth field matram inka ade

2026 lo winners evaru ante:

fast learners

adaptable people

practical builders

Losers:

only degree meeda depend ayye valllu

outdated skills tho untunna valllu

continuous learning avoid chese valllu

Fear avvalsina avasaram ledu.

Kani blind ga “software lo settle aipotha” ane mindset matram ippudu work avvadu.

Salary of a fresher in 2026 with AI skills in resume?

3 weeks ago | [YT] | 4

heydevops_telugu

I used to forget Docker commands every single time.Until I imagined this…

Welcome aboard the Docker Ship

You’re the captain. Your containers? The crew.

1) Setting Sail (Process Management)

Before anything, you look around your ship:

“Who’s on deck?”
→ `docker ps`

“Who’s ever been on this ship?”
→ `docker ps -a`

You recruit a new crew member:
→ `docker run image:tag`

Need to talk to them directly?
→ `docker run -it image:tag`

Send someone to work quietly below deck:
→ `docker run -d image:tag`

When trouble strikes:
“Stand down.”
→ `docker stop container`

“Emergency shutdown.”
→ `docker kill container`

2) The Cargo Hold (Images)

You check your stored supplies:
→ `docker images`

Looking for new supplies:
→ `docker search image`

Pull them onboard:
→ `docker pull image`

Or build your own from scratch:
→ `docker build -t image:tag .`

Once ready, you share them with the world:
→ `docker push image:tag`

Cleaning space?
→ `docker rmi image:tag`

3) Storage & Connections (Volumes & Ports)

Your ship needs storage:

List cargo:
→ `docker volume ls`

Create storage:
→ `docker volume create`

Inspect what’s inside:
→ `docker volume inspect`

Throw out unused cargo:
→ `docker volume prune`

Attach storage to crew:
→ `docker run -v local_dir:/container_dir image`

Open communication channels:
→ `docker run -p 127.0.0.1:local:container image`


4) Ship Diagnostics (Troubleshooting)

Something feels off…

Check the logs:
→ `docker logs container`

Watch events live:
→ `docker logs -f container`

Inspect the crew:
→ `docker inspect container`

Monitor activity:
→ `docker stats`

Peek inside:
→ `docker exec -it container /bin/bash`

5) Fleet Management (Docker Compose)

Now you’re not running one ship… but a fleet.

Launch everything:
→ `docker-compose up -d`

Pause operations:
→ `docker-compose stop`

Tear it all down:
→ `docker-compose down`

Check fleet status:
→ `docker-compose ps`

And just like that…

Docker isn’t a list of commands anymore.
It’s a ship. A system. A story.

And every time you forget… just come back onboard.

If this helped you remember even ONE command,

you know what to do 👇

If you are looking for upskilling in 2026 in DevOps/SRE then do checkout the batch15

Register here - heydevops.in/batch15
( Slots are limited for both freshers and experienced )

Found this post helpful, then do share with your DevOps community ❤️

1 month ago | [YT] | 49

heydevops_telugu

Most people try to memorize kubectl commands.
That’s the wrong approach.
Instead, think of Kubernetes like a city… and you are the commander controlling everything from a control room.



One day, you walk into this control room.



First thing you do?



You check the status of the entire city

→ kubectl cluster-info



Then you look at everything running inside

→ kubectl get all -n <namespace>



Now you zoom out.



You want to see the machines powering the city (nodes)

→ kubectl get nodes



And then the people living inside (pods)

→ kubectl get pods



Suddenly, there’s a problem.

One pod is behaving strangely.



You inspect it closely like a detective

→ kubectl describe pod <pod-name>



Still confused?



You check its logs (its past actions)

→ kubectl logs <pod-name>



Now you realize traffic needs to be managed.



So you check services (roads & networking)

→ kubectl get services



And the deployment plans (city blueprints)

→ kubectl get deployments



A spike in demand hits.



You quickly scale the system

→ kubectl scale deployment <name> --replicas=5

But something breaks after a change.

No panic.



You roll back time

→ kubectl rollout undo deployment/<name>



Meanwhile, you keep monitoring everything live like CCTV

→ kubectl get pods -w



And when you need to go inside a building (pod)?

You literally enter it

→ kubectl exec -it <pod-name> -- /bin/bash



That’s when it clicks.

You’re not memorizing commands anymore.



You’re running a city.

If you remember this story:



Nodes = Machines

Pods = People



Services = Roads

Deployments = Blueprints



Every kubectl command becomes common sense, not syntax.



This is how you stop “learning commands”

and start thinking like a DevOps Engineer



If you are looking to upskill in DevOps/SRE and actively looking for job then do checkout Praveen Singampalli dedicated mentorship program with Real time experience and practical handson projects



𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞 : openinapp.link/1wbjz
𝐂𝐡𝐞𝐜𝐤 𝐩𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭𝐬 - yt.openinapp.co/sd9eg



I promise every learning you get will be relatable to a real time life story.



See you in new DevOps Batch15 ❤️

Singam

1 month ago | [YT] | 43

heydevops_telugu

*Biggest DevOps FREE Meetup*

People in Hyderabad are you guys ready for the new event??

What you will get in this Heydevops and GitHub copilot event??

1) Free event passes
2) Microsoft office entry
3) Free Lunch
4) Free goodies
5) Connect with top Creators and people
6) Chance for referrals

*Register here for free for DevOps event* - yt.openinapp.co/c8xs95k

*NOTE* DevOps batch15 members will be given top priority so if you are not part of batch15 then do enrol

*Register here for batch15* openinapp.link/1wbjz

See you all in the event ❤️🔥

1 month ago | [YT] | 9

heydevops_telugu

Mana telugu ammai job search journey yt.openinapp.co/piqwf
She didn’t land her dream role overnight
In college and after the passout, she took two internships completely unpaid.

No stipend. No fancy titles. Just learning, building, figuring things out.



Fast forward to today?

She’s working at a top product-based company.



But the real story starts a few months ago…

She was stuck.



Two paths in front of her:



• Data Analyst → dashboards, insights, storytelling

• Data Engineer → pipelines, systems, scalability



Both exciting. Both promising.

But one question kept bothering her:



“Which path actually gets me to 15 LPA… and beyond?”



So she did what most people do:

Googled. Watched YouTube. Read threads.



Still confused.



Everything felt generic.



Until she flipped the question:



Not “Which is better?”



But “Which problems do I enjoy solving every day?”



That changed everything.

Here’s what she realized:



→ Love asking questions, finding patterns, telling stories?

Data Analyst is your space.

→ Love building systems, optimizing performance, handling large-scale data?

Data Engineer is your game.



But here’s the truth no one tells you:



At entry level, skills > titles

At 15 LPA level, impact + specialization = growth



So she built a clear roadmap:



For Data Analyst (6–12 months):



• Excel → SQL → Python

• Power BI / Tableau

• 3–5 real-world business projects

• Strong storytelling + domain knowledge



For Data Engineer (8–15 months):



• Python + SQL (strong foundation)

• Data Warehousing (Snowflake / BigQuery)

• ETL tools + Apache Spark

• Cloud basics (AWS/GCP)

• Build end-to-end pipelines



And her biggest lesson?



Your salary doesn’t come from your role.

It comes from the problems you can solve.



From unpaid internships…

to clarity…

to a top product company.



She didn’t get lucky.

She got focused.



If you’re at the same crossroads, ask yourself:

Do you want to explain data…

or build the system behind it?



Watch the complete telugu podcast - yt.openinapp.co/piqwf
𝐓𝐞𝐥𝐮𝐠𝐮 𝐯𝐚𝐥𝐥𝐮 𝐮𝐧𝐧𝐚𝐫𝐚 ??



PS: First time in person podcast chesa and if any Telugu person is watching this post do make sure you support the video and this post ❤️

What is the salary of a fresher Data engineer??

1 month ago | [YT] | 3