📢 Welcome to The DevOps Classroom! 🚀

Are you curious about DevOps but don't know where to start?

This channel is your go-to learning space for everything DevOps from beginner basics to hands-on tools and real-world use cases.

🎯 What You’ll Learn Here:
✅ What DevOps really means
✅ Core tools: Git, Docker, Kubernetes, Jenkins, Ansible, Terraform, and more
✅ CI/CD concepts made simple
✅ Step-by-step tutorials and practice projects
✅ Daily tips, tricks, and industry best practices
✅ Resume tips & career guidance for DevOps roles

👨‍🏫 Who is this for?
Whether you're:
🔜 A beginner trying to break into DevOps
🔜 A developer wanting to automate and deploy faster
🔜 An IT/Infra professional shifting into cloud & automation

This classroom is for you.

🚀 Why Follow This Channel?
🔜 No fluff, just real content
🔜 Learn at your own pace
🔜 Regular, bite-sized lessons
🔜 Ask questions, get help (community-friendly tone)

🔔 Follow and invite your friends who want to learn DevOps the right way. Let’s build, ship, and grow together!

Welcome to the classroom.
— Your DevOps Guide

♻️ 10 FREE DevOps labs that helped to stop feeling stuck — and start feeling unstoppable ⬇️


1. KodeKloud Engineer Platform
Simulate real-world tasks. Get “promoted” from SysAdmin → DevOps Engineer → Architect!
📎 https://lnkd.in/g3G_vMNU

2. DevOps Labs Collection
Hands-on labs across CI/CD, monitoring, automation — no credit card needed.
📎 https://lnkd.in/g8HVvigm

3. Kubernetes Lab
Deploy clusters, manage apps, master YAML.
📎 https://lnkd.in/guWWzCeh

4. Docker Lab
Pull, build, and run real containers.
📎 https://lnkd.in/gFyeEnrT

5. Git Lab
Master Git flows, branching, merges — fluency guaranteed.
📎 https://lnkd.in/grP6dYfa

6. Terraform Lab
Write Infrastructure as Code. Deploy AWS resources without fear.
📎 https://lnkd.in/gmhTZPdR

7. Linux Lab
Learn Linux basics — 90% of DevOps work happens here.
📎 https://lnkd.in/g92cPyYE

8. Ansible Lab
Automate server setups like a pro.
📎 https://lnkd.in/gVGdesdB

9. Jenkins Lab
Build real CI/CD pipelines with hands-on Jenkins experience.
📎 https://lnkd.in/gPdeqhYZ

10. Python Lab
Practice automation scripts and cloud operations.
📎 https://lnkd.in/g-gM9QmM


💡 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

🎓 7 Free DevOps Video Tutorials to Kickstart Your Career (With Links & Notes)

1️⃣. 🐧 𝗟𝗶𝗻𝘂𝘅, 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 & 𝗦𝗵𝗲𝗹𝗹 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴
🖥 Complete Linux Course (with notes) – Abhishek Veeramalla
https://lnkd.in/gzCG3StE

A full beginner-to-advanced journey that covers Linux commands, networking basics, and shell scripting — foundational skills for every DevOps engineer.

2️⃣. 📱 𝗚𝗶𝘁 & 𝗚𝗶𝘁𝗛𝘂𝗯
📎 Git & GitHub Crash Course – Hitesh Choudhary
https://lnkd.in/gzsetwWv

Hands-on, beginner-friendly intro to version control, branching, pull requests, and GitHub workflows.

3️⃣. 🐬 𝗗𝗼𝗰𝗸𝗲𝗿 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 by KodeKloud
📎 Learn Docker in 2 Hours – 2025 Tutorial : https://lnkd.in/gkDFm99g

One of the best free Docker intros. Teaches containers, images, networking, and Docker Compose in just 2 hours.

4️⃣. ♾ CI/CD with GitHub Actions
Complete CI/CD Course with Hands-on Project – Abhishek Veeramalla
📎 https://lnkd.in/gR_ADhPE

Learn how to automate tests, builds, and deploys — with real-world GitHub Actions workflows.

5️⃣. Infrastructure as Code (Terraform)

📎 Terraform for Beginners – HashiCorp Learn : https://lnkd.in/gdWejmQ8

📎 Terraform Zero to Hero – Abhishek Veeramalla:
https://lnkd.in/g2SwQdsj

Interactive and official — teaches you to provision infrastructure across any cloud.

6️⃣. Kubernetes Fundamentals

📎 Kubernetes Official Docs : https://lnkd.in/gV7QdzRg

📎 Kubernetes Full Tutorial – YouTube: https://lnkd.in/gAvWbYTV

Straight from the source. Practice using Minikube, kubectl, and Pods in a live environment.

7️⃣. Observability: Zero to Hero
📎 https://lnkd.in/gJtubP8c

Build a full observability stack with Prometheus, Grafana, Loki, and Alertmanager — from scratch, in real-time.

If you’re just starting — or restarting — these tutorials can save you months of confusion.

↗️ Follow @DevOpsClassroom for more DevOps Journey and Learn step by step, share with your friends and people for helping out together.

💵𝗜 𝘄𝗮𝘀𝘁𝗲𝗱 𝟯 𝗺𝗼𝗻𝘁𝗵𝘀 𝘀𝗲𝘁𝘁𝗶𝗻𝗴 𝘂𝗽 𝗖𝗜/𝗖𝗗 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝘄𝗮𝘆.

🔜 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗜 𝘄𝗶𝘀𝗵 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝗴𝗮𝘃𝗲 𝗺𝗲 𝗼𝗻 𝗱𝗮𝘆 𝗼𝗻𝗲 ⬇️


😩 The Pain No One Warned Me About:

When I started learning DevOps, I thought CI/CD was simple:

“Push code → Auto-deploy → Done.”

But what I built was a disaster pipeline:

🧨 Broken code straight to production
🤷‍♂️♂️ No automated tests
😳 No rollback — just panic
🔐 Secrets hardcoded in .env files

I wasn’t building pipelines.
𝗜 𝘄𝗮𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗹𝗮𝗻𝗱𝗺𝗶𝗻𝗲𝘀.


💡 𝗪𝗵𝗮𝘁 𝗥𝗲𝗮𝗹 𝗗𝗲𝘃𝗢𝗽𝘀 𝗧𝗮𝘂𝗴𝗵𝘁 𝗠𝗲:

A real CI/CD pipeline doesn’t just ship code.
𝗜𝘁 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝘀 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 — 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁.

Here’s what it MUST include (with tools):

✅ 𝗟𝗶𝗻𝘁𝗶𝗻𝗴 & 𝘀𝘁𝗮𝘁𝗶𝗰 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀
→ ESLint, Pylint, Checkov

✅ 𝗦𝗲𝗰𝗿𝗲𝘁 𝘀𝗰𝗮𝗻𝗻𝗶𝗻𝗴
→ Gitleaks, TruffleHog

✅ 𝗨𝗻𝗶𝘁 & 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝘀𝘁𝗶𝗻𝗴
→ pytest, Jest, Postman/Newman

✅ 𝗦𝗲𝗰𝘂𝗿𝗲 𝗗𝗼𝗰𝗸𝗲𝗿 𝗯𝘂𝗶𝗹𝗱𝘀
→ Snyk, Docker Slim, Trivy

✅ 𝗔𝘂𝘁𝗼-𝗱𝗲𝗽𝗹𝗼𝘆 𝘁𝗼 𝘀𝘁𝗮𝗴𝗶𝗻𝗴
→ GitHub Actions / GitLab CI → EKS / ECS / AKS

✅ 𝗠𝗮𝗻𝘂𝗮𝗹 𝗮𝗽𝗽𝗿𝗼𝘃𝗮𝗹 𝗳𝗼𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻
→ Prevent bad deploys under pressure

✅ 𝗥𝗼𝗹𝗹𝗯𝗮𝗰𝗸 𝗹𝗼𝗴𝗶𝗰
→ Helm, ArgoCD, Terraform state management

✅ 𝗦𝗲𝗰𝗿𝗲𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
→ AWS Secrets Manager, Vault, Doppler

Most beginner tutorials skip this.
But real-world DevOps teams depend on it.


💡 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

➡️ If you want to become good at AWS, then learn these use cases:


1️⃣ AWS VPC Gateway Endpoints - The Most Underrated Cost Savers
https://lnkd.in/g7-CUNfZ

2️⃣ How to Use S3 Buckets Securely for Public Data Storage
https://lnkd.in/gUJ7c_-R

3️⃣ How a security researcher Exposed AWS Keys and API Secrets of $1B VC Firm in 5 Clicks
https://lnkd.in/g_cmgR7D

4️⃣ How GuardDuty Protects S3 from Malware
https://lnkd.in/gF6u4533

5️⃣ How Canva Migrated 100M+ MAU Data with Zero Downtime Using DMS
https://lnkd.in/g_shQsGk

6️⃣ Solve AWS Lambda Cost-Performance Imbalance with Power Tuning
https://lnkd.in/gmyKXf_6

7️⃣ AWS Lambda Integration Patterns with SQS and SNS
https://lnkd.in/gcvhvXbr

8️⃣ How Provisioned Concurrency Cut AWS Lambda Cold Starts by 98%
https://lnkd.in/gkjzhEsv


💡 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

⏩ 𝗧𝗼𝗽 𝟳 𝗗𝗲𝗺𝗼 𝗔𝗽𝗽𝘀 𝗳𝗼𝗿 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 ⏪


1️⃣. 𝗢𝗽𝗲𝗻𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗗𝗲𝗺𝗼 : https://lnkd.in/g9nGaNUG
→ Perfect for mastering metrics, traces, logs with Grafana, Prometheus, and Loki.

2️⃣. 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗗𝗲𝗺𝗼 (𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺) : https://lnkd.in/ghqV2MVS
→ Frontend, backend, checkout, databases — a real full-stack microservices setup.

3️⃣. 𝗲𝗦𝗵𝗼𝗽 : https://lnkd.in/geRNcnme
→ Microservices Perfect for mastering real-world CI/CD, Kubernetes, Terraform, Azure DevOps, and AWS deployments.

4️⃣. 𝗕𝗮𝗻𝗸 𝗼𝗳 𝗔𝗻𝘁𝗵𝗼𝘀 : https://lnkd.in/g-ZEpsi6
→ Cloud-native app designed for Kubernetes, GKE, multi-environment deployments.

5️⃣. 𝗩𝗼𝘁𝗲 𝗔𝗽𝗽 (𝗗𝗼𝗰𝗸𝗲𝗿 𝗩𝗼𝘁𝗶𝗻𝗴 𝗔𝗽𝗽) : https://lnkd.in/gQ_Jz2qe
→ Ideal to learn Docker Compose → Kubernetes migration → Load balancing.

6️⃣. 𝗣𝗲𝘁𝗖𝗹𝗶𝗻𝗶𝗰 (𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 𝗔𝗽𝗽) : https://lnkd.in/gvU_afDB
→ Best for traditional CI/CD pipelines — migrate legacy apps into the cloud.

7️⃣. 𝗣𝗼𝗱𝗶𝗻𝗳𝗼 𝗔𝗽𝗽 : https://lnkd.in/gTdgcmtm
→ Lightweight app to practice real-world monitoring, alerting, and observability.

8️⃣. 𝗥𝗼𝗯𝗼𝘁 𝗦𝗵𝗼𝗽 : https://lnkd.in/gvf-Ntk8
→ A fully containerised microservices-based e-commerce app, built to simulate real-world production loads.


✈️ Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

😫 “Do I really need to learn all of this just to become a DevOps engineer?”

Docker. AWS. GCP. Azure. GitHub Actions. GitLab. Jenkins. Terraform. Pulumi. Ansible. Prometheus. Grafana. Loki. Datadog. OpenTelemetry. EKS…

Every week, the list grows.
And so does the overwhelm.

Spoiler: You don’t.
In fact, many companies don’t even know half the tools you’re burning out trying to learn.

Here’s the truth nobody told me:

💡 Don’t chase tools. Master concepts.

Tools come and go.
Concepts stay the same.

When you know the why, learning the how becomes easy.

🔥 Here’s a real-world DevOps roadmap I wish I followed earlier:

🔹 1. Linux
→ Every CI/CD tool, container, and cluster runs on it
→ Learn bash, permissions, networking, and logs

🔹 2. CI/CD
→ Pick one: GitHub Actions or GitLab CI
→ Learn how to automate build → test → deploy

🔹 3. IaC (Infrastructure as Code)
→ Terraform is 🔑
→ Focus on logic and structure, not memorizing syntax

🔹 4. Cloud (Pick ONE)
→ AWS, GCP, or Azure
→ Learn VPCs, compute, IAM, Kubernetes basics
→ Multi-cloud will come naturally later

🔹 5. Kubernetes (Deeply)
→ Don’t just memorize kubectl
→ Understand Pods, Services, HPA, Ingress, and networking
→ Break it, fix it, repeat

🔹 6. Ansible
→ IaC sets it up, Ansible configures it
→ Learn how to manage software/configs on provisioned servers

🔹 7. Observability
→ Setup Prometheus + Grafana + Loki
→ Learn how to monitor, alert, and debug before users even notice

💻 Then do this one project:

Take a real GitHub app : https://lnkd.in/g9nGaNUG
🧹 Delete the Dockerfile, CI/CD, and K8s manifests
🧠 Rebuild everything from scratch using only the README:

✅ Write the Dockerfile
✅ Test with Docker Compose
✅ Build K8s manifests
✅ Deploy to a real cluster (EKS/GKE/AKS)
✅ Automate with CI/CD
✅ Setup observability
✅ Provision with Terraform

No bootcamp will teach you more than this project.

✈️ Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

➡️ New DevOps Project Alert! ⬅️

🚀 DevOps Project-36: Production-Ready 3-Tier App on AWS EKS 🌐

Just deployed a full-stack 3-tier application on AWS EKS with a real-world infrastructure setup! 🧵

🟠 Frontend: React (user interface)
🟠 Backend: Flask (API + business logic)
🟠 Database: PostgreSQL on RDS (private subnet)

Key AWS Components:
✅ EKS Cluster
✅ Application Load Balancer (ALB) via AWS Load Balancer Controller
✅ Kubernetes Ingress, Secrets & ConfigMaps
✅ ExternalName service to access RDS securely
✅ Route53 for DNS
✅ IAM, OIDC for fine-grained access control
✅ EC2 Bastion Host for secure cluster access
✅ DB migrations via Kubernetes Job

🔧 Built with production in mind – real infrastructure, real patterns, real skills.

📱 GitHub: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-36
➗ View on Web: https://projects.prodevopsguytech.com/blog/DevOps-Project-36

Check it out & give it a ⭐️ if it helps you!
#DevOps #AWS #EKS #Kubernetes #CICD #FullStack #CloudNative #React #Flask #Postgres


📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

😫 “𝗘𝗖𝗦 𝗼𝗿 𝗘𝗞𝗦? 𝗜 𝘁𝗵𝗼𝘂𝗴𝗵𝘁 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘁𝗵𝗲𝗺 𝘄𝗼𝘂𝗹𝗱 𝗯𝗲 𝗲𝗮𝘀𝘆…”

Instead, I ended up stuck in analysis paralysis for weeks.

Docs were vague. Reddit was chaotic. YouTube was a warzone.

Everyone had an opinion — but no one had a clear answer.

Until one day, a simple analogy made it all click.⬇️

🚢 𝗜𝗺𝗮𝗴𝗶𝗻𝗲 𝘆𝗼𝘂’𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗮 𝗹𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝗰𝗼𝗺𝗽𝗮𝗻𝘆.

You need to ship packages (containers) reliably across the country.

You’ve got two options:

✅ 𝗢𝗽𝘁𝗶𝗼𝗻 𝟭: 𝗘𝗖𝗦 = 𝗧𝗵𝗲 𝗙𝗲𝗱𝗘𝘅 𝗠𝗼𝗱𝗲𝗹

You give your package to FedEx.

They handle the trucks, the routes, and the delivery.

You don’t care how it works — it just works.

That’s Amazon ECS.
- Fully AWS-managed orchestration
- Plug-and-play with Fargate
- Tight AWS integrations (CloudWatch, IAM, ALB)
- Less config, faster deployments

Best if:
- You’re AWS-first
- You want simplicity over control
- You need to move fast


⚙️ 𝗢𝗽𝘁𝗶𝗼𝗻 𝟮: 𝗘𝗞𝗦 = 𝗢𝘄𝗻𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗢𝘄𝗻 𝗙𝗹𝗲𝗲𝘁

You buy the trucks. Hire the drivers. Set the routes.

It’s more work — but you control everything.

That’s Amazon EKS.

- Full Kubernetes power (and pain)
- Portable across cloud/on-prem
- Ideal for microservices, GitOps, service mesh
- Better if you already use K8s

Best if:
- You need Kubernetes flexibility
- You’re doing multi-cloud
- You want granular control


📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

🚨 They accidentally deleted their entire AWS Organization account. 🚨

Yes — production S3 buckets. Client data. App Runner services. Gone.

No test. No warning. Just… obliteration.

—

I came across this story on Reddit — and it hit me like a truck.

It started with a routine migration.

They were cleaning up unused accounts during an App Runner transition.

🖱 One wrong click.
✉️ No confirmation email.
⚠️ No warning the org deletion would nuke everything.

24 hours later:

❌ All systems down
❌ No access to S3
❌ Clients in panic mode
❌ No response from AWS Support

They were a small team. No enterprise support.
Just chaos — and partners losing trust by the hour.

—

💔 It’s a brutal reminder:

Cloud infra is powerful — and unforgiving.

This could happen to any of us.

And it made me recheck my entire setup that night.

Here’s what I wished they did — and what I now recommend to every DevOps team I work with:

✅ Enable AWS Backup on all S3 buckets
✅ Use Service Control Policies (SCPs) to block dangerous actions
✅ Practice account recovery simulations
✅ Build a disaster recovery plan that’s actually tested
✅ Upgrade to Business Support — or have a plan to escalate fast


📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

⚪ Load Balancer vs. Reverse Proxy vs. API Gateway


🔹 Load Balancer
Distributes incoming network traffic across multiple backend servers (nodes) to ensure no single server is overwhelmed.

⚡️Key Benefits:
- Improves horizontal scalability
- Ensures high availability
- Performs automatic health checks
- Supports traffic routing based on load, IP, or latency

Examples: AWS ELB, HAProxy, NGINX (as load balancer)

🔹 Reverse Proxy
A server that sits in front of one or more backend servers and forwards client requests to them.

⚡️Key Benefits:
- Hides and protects backend servers
- Enables SSL termination
- Adds caching and compression
- Can perform basic load balancing

Examples: NGINX, Apache HTTP Server

🔹 API Gateway
A centralized entry point that handles, manages, and routes API calls—especially in a microservices setup. Acts as a facade to decouple clients from microservice complexity.

⚡️Key Benefits:
- Manages authentication, authorization, and rate limiting
- Performs request/response transformations
- Handles API versioning and lifecycle
- Enables detailed monitoring and analytics

Example: Amazon API Gateway, Kong

⚡️𝐂𝐚𝐧 𝐓𝐡𝐞𝐲 𝐁𝐞 𝐔𝐬𝐞𝐝 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫?
Yes. Modern architectures often combine all three.

⚡️Example Setup:
- A Reverse Proxy (e.g. NGINX) handles SSL termination and routes requests
- Requests hit an API Gateway for authentication, throttling, and routing to services
- Behind the scenes, a Load Balancer distributes traffic to healthy service instances

On AWS, it’s common to see Amazon API Gateway + Elastic Load Balancer (ELB) used together to build scalable, secure APIs.


📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom

⚪ Fundamental Kubernetes Concepts.

⬆️ Explained Simply ⬆️



📱 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom