Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
- All Ansible Content
- Realtime Ansible Scenarios
- Ansible Playbooks with Solutions
- No More PDFs Needed
- Easy to Learn from Anywhere
- Detailed Explanation Guide
- Ansible for DevOps Engineers
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- All Git/GitHub Content with use cases
- Git Realtime scenarios
- All Git/GitHub Exercises with solutions
- No More Git PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Git/GitHub Branching Strategies for DevOps guy
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A complete, hands-on collection of AWS, Google Cloud (GCP), and Microsoft Azure projects — designed to help you gain real-world experience, build your portfolio, and prepare for cloud certifications.
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Forwarded from The DevOps Classroom
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.
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 – Abhishek Veeramalla
Learn how to automate tests, builds, and deploys — with real-world GitHub Actions workflows.
https://lnkd.in/g2SwQdsj
Interactive and official — 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 — from scratch, in real-time.
If you’re just starting — or restarting — these tutorials can save you months of confusion.
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
#DevOps #CICD #Kubernetes #Jenkins #Docker #AWS #Monitoring #Automation
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Forwarded from The DevOps Classroom
Today my friend appeared for the final technical round at Neurealm, and it was a complete deep dive into real-world DevOps scenarios.
The panel focused heavily on Kubernetes, Helm, Jenkins, AWS, Terraform, Prometheus & Grafana — all scenario-based and practical.
Sharing the questions here so others preparing for similar roles can benefit
- Your Pod is restarting frequently. How do you identify the root cause?
- A Deployment is stuck in "progressing" state — how do you troubleshoot?
- How do you debug a CrashLoopBackOff issue?
- How do you check which Pods are consuming high memory or CPU?
- Node is in NotReady state — steps to investigate?
- Your application is not accessible through service — what will you check?
- How do you handle failed daemonset pods?
- Persistent Volume not attaching — what’s your troubleshooting approach?
- How do you perform rolling updates and rollbacks safely?
- How do you perform health checks for Pods and Nodes in live environments?
- What are values.yaml and how do you override them?
- How do you manage multiple environment deployments using Helm?
- How do you debug a failed Helm release?
- What is the difference between Helm Chart, Release, and Repository?
- Why choose Declarative Pipeline over Scripted Pipeline?
- How do you integrate SonarQube into a Jenkins pipeline?
- How do you build → containerize → push → deploy using Jenkins?
- Your EC2 instance is unreachable — how do you diagnose?
- How do you implement Auto Scaling with proper health checks?
- Difference between ALB and NLB and when to use which?
- S3 cross-region replication setup steps?
- How to troubleshoot high latency in API Gateway?
- How do you reduce RDS cost without downtime?
- What happens if Terraform state is deleted in S3?
- How do you secure your VPC workloads at scale?
- How do you recover from a deleted Terraform state file?
- How do you create 50 EC2 instances with different configurations (dynamic blocks)?
- Share your screen and write a terraform code to create a VPC with all there components and create a RDS database into VPC.
- How do you set up custom metrics for Kubernetes pods?
- How do you troubleshoot missing data points in Grafana dashboards?
- How do you create alerts for high CPU or memory usage?
This interview round was entirely hands-on, scenario-focused, and tested how well you handle production-grade issues, automation thinking, and troubleshooting skills.
If you're preparing for DevOps/SRE roles — start practicing real scenarios, not definitions.
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Ingress is the original user-friendly way to direct network traffic to workloads running on Kubernetes. (Gateway API is a newer way to achieve many of the same goals.)
In March 2026, Ingress NGINX (the main controller) maintenance will be halted, and the project will be retired. Existing deployments of Ingress NGINX will not be broken.
The old Ingress controller has powered billions of requests in datacenters and homelabs all around the world, and Kubernetes wouldn’t be where it is without Ingress NGINX. What are your thoughts?
- https://lnkd.in/dJP-6iAf
- https://lnkd.in/dPKPitCC
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Orchestrates Containers: Helps you run and manage containers across multiple machines without manual effort.
Effortless Scaling: Automatically adjusts application capacity based on demand.
High Availability: Keeps your services running even when individual components fail.
Industry Essential: A key skill for DevOps, cloud, and system engineering careers.
Before jumping into Kubernetes, ensure you understand:
Containers: Especially Docker, since Kubernetes manages containerized apps.
YAML: Almost all Kubernetes configs are written in YAML.
Understand what Kubernetes is: a platform that automates deployment, scaling, and management of containerized applications.
Key building blocks:
Cluster: A group of machines controlled by Kubernetes.
Node: A physical or virtual server inside the cluster.
Pod: The smallest unit that can run your containers.
Service: A stable network endpoint to access pods.
Namespace: Logical separation within the cluster for resource isolation.
Local Setup Options:
Minikube – Simple single-node cluster.
Kind – Kubernetes running inside Docker.
K3s – Lightweight distribution for low-resource systems.
Cloud Services:
GKE (Google)
EKS (AWS)
AKS (Azure)
kubectl is the command-line tool used for interacting with Kubernetes.
Common commands:
kubectl get nodes – Show all nodes
kubectl get pods – List pods
kubectl describe pod <pod> – Pod details
kubectl apply -f file.yaml – Apply configuration
kubectl delete pod <pod> – Remove a pod
Pod: Runs one or more containers.
Deployment: Ensures pods run as expected and supports rolling updates.
Service: Exposes pods internally or externally.
ClusterIP, NodePort, LoadBalancer
ConfigMap & Secret: Store configuration and sensitive values.
PersistentVolume & PersistentVolumeClaim: Handle permanent storage.
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-deployment
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-container
image: nginx
ports:
- containerPort: 80
Pod-to-pod communication works by default.
Services provide stable access to pods.
Ingress handles HTTP/HTTPS routing from outside the cluster.
HPA (Horizontal Pod Autoscaler): Scales the number of pods.
VPA (Vertical Pod Autoscaler): Adjusts CPU/memory per pod.
Cluster Autoscaler: Adds/removes nodes automatically.
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
1.
git init - Initialize a new Git repository.2.
git clone <repository> - Clone an existing Git repository.3.
git config --global user.name "<Your Name>" - Set your username for Git.4.
git config --global user.email "<your_email@example.com>" - Set your email address for Git.5.
git status - Check the status of your repository.6.
git add <file> - Stage a file for the next commit.7.
git add . - Stage all changes in the current directory and subdirectories.8.
git commit -m "<commit_message>" - Commit changes with a meaningful commit message.9.
git log - Display a log of all commits made to the repository.10.
git branch - List all branches in the repository.11.
git checkout <branch> - Switch to a different branch.12.
git merge <branch> - Merge changes from another branch into the current branch.1.
git branch <new_branch> - Create a new branch.2.
git branch -d <branch> - Delete a branch.3.
git branch -m <old_branch> <new_branch> - Rename a branch.4.
git checkout -b <new_branch> - Create a new branch and switch to it.1.
git remote add <name> <url> - Add a remote repository.2.
git remote remove <name> - Remove a remote repository.3.
git remote rename <old_name> <new_name> - Rename a remote repository.4.
git fetch <remote> - Fetch changes from a remote repository.5.
git push <remote> <branch> - Push changes to a remote repository.6.
git pull <remote> <branch> - Pull changes from a remote repository.1.
git merge <branch> - Merge changes from another branch into the current branch.2.
git merge --abort - Abort a merge operation.3.
git merge --continue - Continue a merge operation after resolving conflicts.4.
git status - Check the status of your repository during a merge operation.1.
git tag <tag_name> - Create a lightweight tag.2.
git tag -a <tag_name> -m "<tag_message>" - Create an annotated tag.3.
git tag -d <tag_name> - Delete a tag.4.
git tag -l - List all tags in the repository.1.
git reset <commit> - Reset your repository to a specific commit.2.
git reset --hard <commit> - Reset your repository to a specific commit and discard all changes.3.
git revert <commit> - Revert changes made by a specific commit.4.
git revert --no-commit <commit> - Revert changes made by a specific commit without committing the changes.1.
git stash - Stash changes in your repository.2.
git stash list - List all stashed changes.3.
git stash apply - Apply stashed changes to your repository.4.
git stash drop - Delete a stashed change.5.
git stash pop - Apply and delete a stashed change.1.
git submodule add <repository> - Add a submodule to your repository.2.
git submodule init - Initialize a submodule.3.
git submodule update - Update a submodule.4.
git submodule status - Check the status of a submodule.5.
git submodule summary - Summarize changes made to a submodule.1.
git cherry-pick <commit> - Apply changes made by a specific commit to your current branch.2.
git cherry-pick --abort - Abort a cherry-pick operation.3.
git cherry-pick --continue - Continue a cherry-pick operation after resolving conflicts.1.
git rebase <branch> - Rebase your current branch onto another branch.2.
git rebase --abort - Abort a rebase operation.3.
git rebase --continue - Continue a rebase operation after resolving conflicts.4.
git rebase -i <commit> - Interactively rebase changes made since a specific commit.1.
git diff - Display differences between your working directory and the staging area.2.
git diff --cached - Display differences between the staging area and the last commit.Please open Telegram to view this post
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(Specific role simulation part of KodeKloud)
(Many rooms cover Linux, Docker, K8s security from an offensive/defensive perspective)
(Similar to TryHackMe, CTFs often involve DevOps tool exploitation/hardening)
(Classic command-line challenges, starting with Bandit for Linux basics)
(Collection of simple games explaining cloud-native concepts)
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Forwarded from The DevOps Classroom
Kubernetes, Docker, Jenkins, Terraform, AWS, Helm, Prometheus…
These are tools, not outcomes.
Hiring managers want to know if you can keep platforms stable, scalable and predictable in production.
They ask:
• Don’t say “used Kubernetes.” Say how deployments survived node failures and reduced downtime.
• Don’t say “built pipelines.” Say how CI/CD shipped features safely without breaking production.
• Don’t say “wrote Terraform.” Say how infra patterns made environments reproducible and secure.
• Don’t say “configured Prometheus.” Say how alerting cut MTTR and protected SLAs.
• Don’t say “saved cost.” Say how you automated power-off of dev workloads during off hours, right-sized VMs, and removed idle resources to cut monthly cloud spend.
• Don’t say “configured networking.” Say how you centralized networking in a single account, enforced VPC standards, and simplified cross-team connectivity.
• Don’t say “improved security.” Say how you implemented least privilege IAM, automated key rotation, and passed an external audit with zero critical findings.
• Don’t say “scaled the app.” Say how you designed autoscaling and capacity plans that maintained 99.x percent availability during peak traffic.
These are the bullets hiring managers remember. These bullets get interviews.
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Yesterday, half the internet felt broken.ChatGPT stopped loading, X went silent, and many websites simply disappeared.
Everyone said, “Cloudflare is down”. But the real reason was much simpler and much more surprising. A config file inside Cloudflare’s system kept growing over time and the moment that file became too large, it crashed the software that handles traffic for several Cloudflare services.
When a company that carries almost 20% of the internet’s traffic has a software crash the whole world feels it.That’s why so many apps went offline at the same time.
This is a reminder for DevOps Engineers that even tiny things deserve attention.
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Big new drop! We've added advanced topics and real-world strategies across Docker & Kubernetes to take your skills to the next level!
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Regional NAT Gateways have finally arrived—something everyone has been begging for.
Before this, setting up NAT Gateways, subnets, and route tables per AZ was annoying, repetitive, and expensive.
Now? You just create one NAT Gateway, mark it Regional, and point your subnets to it. No subnet requirement, no AZ juggling. AWS handles the magic behind the scenes.
But here’s the catch:
It auto-expands across all AZs… which means you still pay per AZ.
So the #1 complaint—NAT Gateway costs—remains untouched.
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