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.
Whether you're:
This classroom is for you.
Welcome to the classroom.
โ Your DevOps Guide
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1. KodeKloud Engineer Platform
Simulate real-world tasks. Get โpromotedโ from SysAdmin โ DevOps Engineer โ Architect!
2. DevOps Labs Collection
Hands-on labs across CI/CD, monitoring, automation โ no credit card needed.
3. Kubernetes Lab
Deploy clusters, manage apps, master YAML.
4. Docker Lab
Pull, build, and run real containers.
5. Git Lab
Master Git flows, branching, merges โ fluency guaranteed.
6. Terraform Lab
Write Infrastructure as Code. Deploy AWS resources without fear.
7. Linux Lab
Learn Linux basics โ 90% of DevOps work happens here.
8. Ansible Lab
Automate server setups like a pro.
9. Jenkins Lab
Build real CI/CD pipelines with hands-on Jenkins experience.
10. Python Lab
Practice automation scripts and cloud operations.
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A full beginner-to-advanced journey that covers Linux commands, networking basics, and shell scripting โ foundational skills for every DevOps engineer.
https://lnkd.in/gzsetwWv
Hands-on, beginner-friendly intro to version control, branching, pull requests, and GitHub workflows.
One of the best free Docker intros. Teaches containers, images, networking, and Docker Compose in just 2 hours.
Complete CI/CD Course with Hands-on Project โ Abhishek Veeramalla
Learn how to automate tests, builds, and deploys โ with real-world GitHub Actions workflows.
https://lnkd.in/g2SwQdsj
Interactive and official โ teaches you to provision infrastructure across any cloud.
Straight from the source. Practice using Minikube, kubectl, and Pods in a live environment.
Build a full observability stack with Prometheus, Grafana, Loki, and Alertmanager โ from scratch, in real-time.
If youโre just starting โ or restarting โ these tutorials can save you months of confusion.
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When I started learning DevOps, I thought CI/CD was simple:
โPush code โ Auto-deploy โ Done.โ
But what I built was a disaster pipeline:
I wasnโt building pipelines.
๐ ๐๐ฎ๐ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐น๐ฎ๐ป๐ฑ๐บ๐ถ๐ป๐ฒ๐.
A real CI/CD pipeline doesnโt just ship code.
๐๐ ๐ฝ๐ฟ๐ผ๐๐ฒ๐ฐ๐๐ ๐๐ผ๐๐ฟ ๐๐ฒ๐ฎ๐บ โ ๐ฎ๐ป๐ฑ ๐๐ผ๐๐ฟ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐ฒ๐ป๐๐ถ๐ฟ๐ผ๐ป๐บ๐ฒ๐ป๐.
Hereโs what it MUST include (with tools):
โ ESLint, Pylint, Checkov
โ Gitleaks, TruffleHog
โ pytest, Jest, Postman/Newman
โ Snyk, Docker Slim, Trivy
โ GitHub Actions / GitLab CI โ EKS / ECS / AKS
โ Prevent bad deploys under pressure
โ Helm, ArgoCD, Terraform state management
โ AWS Secrets Manager, Vault, Doppler
Most beginner tutorials skip this.
But real-world DevOps teams depend on it.
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โ Perfect for mastering metrics, traces, logs with Grafana, Prometheus, and Loki.
โ Frontend, backend, checkout, databases โ a real full-stack microservices setup.
โ Microservices Perfect for mastering real-world CI/CD, Kubernetes, Terraform, Azure DevOps, and AWS deployments.
โ Cloud-native app designed for Kubernetes, GKE, multi-environment deployments.
โ Ideal to learn Docker Compose โ Kubernetes migration โ Load balancing.
โ Best for traditional CI/CD pipelines โ migrate legacy apps into the cloud.
โ Lightweight app to practice real-world monitoring, alerting, and observability.
โ A fully containerised microservices-based e-commerce app, built to simulate real-world production loads.
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Docker. AWS. GCP. Azure. GitHub Actions. GitLab. Jenkins. Terraform. Pulumi. Ansible. Prometheus. Grafana. Loki. Datadog. OpenTelemetry. EKSโฆ
Every week, the list grows.
And so does the overwhelm.
Spoiler: You donโt.
In fact, many companies donโt even know half the tools youโre burning out trying to learn.
Hereโs the truth nobody told me:
Tools come and go.
Concepts stay the same.
When you know the why, learning the how becomes easy.
โ Every CI/CD tool, container, and cluster runs on it
โ Learn bash, permissions, networking, and logs
โ Pick one: GitHub Actions or GitLab CI
โ Learn how to automate build โ test โ deploy
โ Terraform is ๐
โ Focus on logic and structure, not memorizing syntax
โ AWS, GCP, or Azure
โ Learn VPCs, compute, IAM, Kubernetes basics
โ Multi-cloud will come naturally later
โ Donโt just memorize kubectl
โ Understand Pods, Services, HPA, Ingress, and networking
โ Break it, fix it, repeat
โ IaC sets it up, Ansible configures it
โ Learn how to manage software/configs on provisioned servers
โ Setup Prometheus + Grafana + Loki
โ Learn how to monitor, alert, and debug before users even notice
Take a real GitHub app : https://lnkd.in/g9nGaNUG
No bootcamp will teach you more than this project.
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Just deployed a full-stack 3-tier application on AWS EKS with a real-world infrastructure setup!
Key AWS Components:
Check it out & give it a
#DevOps #AWS #EKS #Kubernetes #CICD #FullStack #CloudNative #React #Flask #Postgres
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๐ซ โ๐๐๐ฆ ๐ผ๐ฟ ๐๐๐ฆ? ๐ ๐๐ต๐ผ๐๐ด๐ต๐ ๐ฐ๐ต๐ผ๐ผ๐๐ถ๐ป๐ด ๐ฏ๐ฒ๐๐๐ฒ๐ฒ๐ป ๐๐ต๐ฒ๐บ ๐๐ผ๐๐น๐ฑ ๐ฏ๐ฒ ๐ฒ๐ฎ๐๐โฆโ
Instead, I ended up stuck in analysis paralysis for weeks.
Docs were vague. Reddit was chaotic. YouTube was a warzone.
Everyone had an opinion โ but no one had a clear answer.
Until one day, a simple analogy made it all click.โฌ๏ธ
๐ข ๐๐บ๐ฎ๐ด๐ถ๐ป๐ฒ ๐๐ผ๐โ๐ฟ๐ฒ ๐น๐ฎ๐๐ป๐ฐ๐ต๐ถ๐ป๐ด ๐ฎ ๐น๐ผ๐ด๐ถ๐๐๐ถ๐ฐ๐ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐.
You need to ship packages (containers) reliably across the country.
Youโve got two options:
โ
๐ข๐ฝ๐๐ถ๐ผ๐ป ๐ญ: ๐๐๐ฆ = ๐ง๐ต๐ฒ ๐๐ฒ๐ฑ๐๐
๐ ๐ผ๐ฑ๐ฒ๐น
You give your package to FedEx.
They handle the trucks, the routes, and the delivery.
You donโt care how it works โ it just works.
Thatโs Amazon ECS.
- Fully AWS-managed orchestration
- Plug-and-play with Fargate
- Tight AWS integrations (CloudWatch, IAM, ALB)
- Less config, faster deployments
Best if:
- Youโre AWS-first
- You want simplicity over control
- You need to move fast
โ๏ธ ๐ข๐ฝ๐๐ถ๐ผ๐ป ๐ฎ: ๐๐๐ฆ = ๐ข๐๐ป๐ถ๐ป๐ด ๐ฌ๐ผ๐๐ฟ ๐ข๐๐ป ๐๐น๐ฒ๐ฒ๐
You buy the trucks. Hire the drivers. Set the routes.
Itโs more work โ but you control everything.
Thatโs 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
- Youโre doing multi-cloud
- You want granular control
๐ฑ Join the channel now and start your DevOps journey with confidence:
๐ t.me/DevOpsClassroom
Instead, I ended up stuck in analysis paralysis for weeks.
Docs were vague. Reddit was chaotic. YouTube was a warzone.
Everyone had an opinion โ but no one had a clear answer.
Until one day, a simple analogy made it all click.
You need to ship packages (containers) reliably across the country.
Youโve got two options:
You give your package to FedEx.
They handle the trucks, the routes, and the delivery.
You donโt care how it works โ it just works.
Thatโs Amazon ECS.
- Fully AWS-managed orchestration
- Plug-and-play with Fargate
- Tight AWS integrations (CloudWatch, IAM, ALB)
- Less config, faster deployments
Best if:
- Youโre AWS-first
- You want simplicity over control
- You need to move fast
You buy the trucks. Hire the drivers. Set the routes.
Itโs more work โ but you control everything.
Thatโs 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
- Youโre doing multi-cloud
- You want granular control
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Yes โ production S3 buckets. Client data. App Runner services. Gone.
No test. No warning. Justโฆ obliteration.
โ
I came across this story on Reddit โ and it hit me like a truck.
It started with a routine migration.
They were cleaning up unused accounts during an App Runner transition.
24 hours later:
They were a small team. No enterprise support.
Just chaos โ and partners losing trust by the hour.
โ
Cloud infra is powerful โ and unforgiving.
This could happen to any of us.
And it made me recheck my entire setup that night.
Hereโs what I wished they did โ and what I now recommend to every DevOps team I work with:
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Distributes incoming network traffic across multiple backend servers (nodes) to ensure no single server is overwhelmed.
- 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)
A server that sits in front of one or more backend servers and forwards client requests to them.
- Hides and protects backend servers
- Enables SSL termination
- Adds caching and compression
- Can perform basic load balancing
Examples: NGINX, Apache HTTP Server
A centralized entry point that handles, manages, and routes API callsโespecially in a microservices setup. Acts as a facade to decouple clients from microservice complexity.
- 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
Yes. Modern architectures often combine all three.
- 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, itโs common to see Amazon API Gateway + Elastic Load Balancer (ELB) used together to build scalable, secure APIs.
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1. Bret Fisher Docker & DevOps
2. KodeKloud
3. TechWorld with Nana
4. Jeff Geerling
5. Stephane Maarek
6. Simplilearn
7. TheDevOpsSchool
8. KubeSimplify
9. Abhishek.Veeramalla (DevOps Engineer)
10. DevOps Directive
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Looking to become a Professional DevOps Engineer?
Start with the most useful GitHub repositories โ all curated for learning, practice, and real-world implementation.
...and a lot more!
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
We see too many struggling with even basic prompts.
Here we created this to help you.
ChatGPT isn't a replacement for official documentation.
It can hallucinate, treat it as your guide.
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(Build a complete DevOps Portfolio)
These projects will demonstrate your DevOps expertise in the interviews,
and land your first job.
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Simulate real-world tasks. Get โpromotedโ from SysAdmin โ DevOps Engineer โ Architect!
Hands-on labs across CI/CD, monitoring, automation โ no credit card needed.
Deploy clusters, manage apps, master YAML.
Pull, build, and run real containers.
Master Git flows, branching, merges โ fluency guaranteed.
Write Infrastructure as Code. Deploy AWS resources without fear.
Learn Linux basics โ 90% of DevOps work happens here.
Automate server setups like a pro.
Build real CI/CD pipelines with hands-on Jenkins experience.
Practice automation scripts and cloud operations.
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- Walk me through your current project architecture and your role in it.
- Which DevOps tools have you worked with in the last 2 years?
- What AWS services have you used in production?
- How do you expose a Kubernetes application to external traffic?
- What is the purpose of a NAT Gateway?
- How do you check running processes in Linux?
- What command would you use to find files larger than 100MB?
- What is the difference between Deployment and StatefulSet in Kubernetes?
- What is a ConfigMap, and how is it different from a Secret?
- How do you check network connectivity between two servers?
- Describe your experience with CI/CD pipelines.
- You have an application in Account A that needs to access an S3 bucket in Account B. How would you configure this?
- Write a Dockerfile for a Node.js application with multi-stage builds.
- How do you handle Terraform state file corruption?
- Your EC2 instance in a private subnet needs to download packages without NAT Gateway. What alternatives exist?
- How do you debug a container that has exited?
- You need to import an existing AWS VPC into Terraform. What are the steps?
- How would you implement blue-green deployment in Kubernetes?
- How do you manage secrets in Terraform without hardcoding them?
- What's the difference between COPY and ADD commands in Dockerfile?
- How would you implement cross-account resource provisioning using Terraform?
- How would you handle secrets in a Docker container for a PHP application connecting to MySQL?
- An S3 bucket was created via Terraform, but someone manually added a policy. How do you handle this drift?
- How do you implement network policies to restrict pod-to-pod communication in Kubernetes?
- Write a Python script to backup all files older than 30 days from a directory.
- Your company's cloud costs are increasing rapidly. - How would you approach cost optimization without impacting performance?
- How would you set up geolocation-based routing using AWS services?
- A critical production Kubernetes cluster is experiencing multiple issues. Pods are stuck in ImagePullBackOff, some pods are being evicted, and users are reporting 503 errors from the application. What troubleshooting process will you follow, and how can to avoid this in the future?
- How do you handle a situation where you're asked to work on a technology you have no experience with?
- Describe a time when you had to work with tight deadlines and limited resources.
- Tell me about a mistake you made in production and how you handled it.
- Describe the most challenging technical problem you've solved in your career.
- How would you convince stakeholders to adopt a new technology or process?
- Tell me about a time when you had to learn a new tool quickly to solve a business problem.
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