1. What is Docker?
2. What are Docker containers?
3. How is Docker different from a virtual machine?
4. What is the purpose of Docker images?
5. What is Docker Hub?
6. How do you create a Docker container?
7. What is a Dockerfile, and how is it used?
8. What is the docker ps command?
9. How do you stop and remove a running Docker container?
10. What is the difference between docker run and docker exec?
11. How do you list all the Docker images on your system?
12. What is the docker-compose command used for?
13. How do you copy files from a Docker container to the host?
14. What is a Docker volume?
15. How do you map ports between your Docker container and host?
16. How do you attach to a running Docker container?
17. What is the Docker Compose file format version?
18. What is a Docker registry?
19. How do you view Docker container logs?
20. What is the docker network command?
21. What is Docker Desktop, and how does it differ from Docker Engine?
22. How do you view Docker container resource usage?
23. What is the purpose of the CMD instruction in a Dockerfile?
24. How do you pull an image from Docker Hub?
25. What is the ENTRYPOINT instruction in a Dockerfile?
26. How do you share data between Docker containers?
27. What is the .dockerignore file used for?
28. How do you create a Docker image from a Dockerfile?
29. What is the docker tag command, and how is it used?
30. How do you run a Docker container in the background (detached mode)?
31. What is the purpose of the EXPOSE instruction in a Dockerfile?
32. How do you remove all stopped containers in Docker?
33. How do you set environment variables for a running Docker container? 34. What is Docker Swarm?
35. How do you check the status of all containers running in Docker?
36. What is the difference between Docker’s COPY and ADD instructions in Dockerfile?
37. What is the docker system prune command?
38. What is the docker-compose up command used for?
39. How do you limit a container’s CPU and memory usage?
40. How do you add a volume to a Docker container?
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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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- Deployment manifest files
- Jenkins deployments & configurations
- Kubernetes Ingress files
- Realtime projects manifest files
- Helm charts for any application
- End to End Manifest files for any applications
- Includes AWS ELK Stack (Elasticsearch, Logstash, Kibana)
- Network service configurations templates
- Application monitoring templates for any applications
- Complete application launch manifest files for Realtime projects
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Maybe you’re one of them.
Learn them - and you’ll stop being “just another DevOps engineer” and start sounding like someone who’s run real systems at scale.
- Terraform isn’t magic — state is.
- Pitfall: editing infra manually = drift, destroy failure, and team chaos.
- How to practice: terraform import a live resource, break it, run plan and explain the diff.
- Build, test, deploy — sounds easy until half your stages run on shared runners.
- Typical Q: “How do you ensure one bad pipeline doesn’t block all others?”
- How to practice: create a GitHub Actions matrix build with caching and concurrency control.
- Secrets don’t belong in Git repos - not even private ones. At least, use .env files
- Pitfall: Kubernetes Secrets are base64-encoded, not encrypted. Anyone with RBAC read access can see them.
How to practice:
- Enable envelope encryption with KMS in Kubernetes (encryptionConfiguration on API server) and Secrets Manager to store secrets combined with externalSecrets operator.
- Integrate Vault or SOPS for secret encryption/decryption.
- Rotate and revoke dynamically — don’t rely on static AWS keys.
- If you can’t explain ClusterIP vs NodePort, you’re not ready.
- Interview Q: “Pod A can’t reach Pod B — how do you debug it?”
- How to practice: deploy a pod, run tcpdump, traceroute, and kubectl exec into it.
- Logs tell stories, metrics tell trends, traces tell truth.
- Pitfall: no cardinality control = OOM Prometheus.
- How to practice: deploy Prometheus + Grafana, add custom app metrics, break something, alert on it.
- “It scales automatically” — until your pod keeps CrashLooping.
- How to practice: set HPA on CPU and memory, simulate load with hey, watch scaling curve.
- NGINX, Traefik, or ALB — same goals, different trade-offs.
- Pitfall: health checks that lie = half your cluster dark.
- How to practice: configure readiness vs liveness probes, misconfigure one, observe downtime.
- Backups don’t matter until restore works.
- Interview Q: “How would you test DR in prod?”
- How to practice: snapshot an RDS, delete data, restore to a clone, verify checksum parity.
- Snowflake servers kill consistency.
- Pitfall: patching live EC2s instead of redeploying AMIs.
- How to practice: bake AMIs with Packer, deploy via Terraform, tear down daily.
- root in Docker ≠ root on host — but it’s close enough to burn you.
- How to practice: run Trivy scan, fix CVEs, add non-root user to Dockerfile.
Pick one topic.
Run the drill.
Become the engineer people trust with production.
Repost this if you learned something new.
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Forwarded from The DevOps Classroom
1. Explain the CI/CD workflow you follow and the kind of pipeline you use. How do you define and invoke pipelines in Jenkins?
2. What are shared libraries in Jenkins, and how are they written and defined?
3. What kind of applications do you deploy using Jenkins pipelines, and what deployment tools do you use?
4. If the Jenkins pipeline runs but the build doesn’t happen, what possible issues could be causing it?
5. What is the purpose of a webhook, and how is it used in a CI/CD pipeline?
6. How do you create and manage Kubernetes clusters (using tools like Terraform), and what are the master and worker nodes?
7. What are common Kubernetes errors you’ve faced (like CrashLoopBackOff, ImagePullError), and how did you resolve them?
8. What is the command to access a pod and how can you define or create a Kubernetes class or object?
9. Explain the folder structure of a basic Helm chart. What commands do you use to deploy with Helm?
10. What are the stages in a Docker image build? Why do we use ENTRYPOINT and CMD instructions?
11. How do you manage and connect services like DBs, EC2, EKS, or ECS? Include the command to connect to ECS.
12. Which container registry do you use for storing Docker images?
1. What branching strategy do you follow, and how do you handle merges to avoid breaking the release branch? If a bug appears in production, what’s your approach to resolving it?
2. Describe your typical deployment flow and CI/CD workflow. What stages do you define in your Jenkins pipeline, and how do you ensure full quality checks during deployment?
3. How do you use Jenkins shared libraries? Explain their typical structure and how they are integrated into your Jenkinsfiles.
4. Are you aware of security scanning tools? How do you scan Docker images—both during build and at the registry level? Are you using any extensions or tools for image scanning?
5. How do you pass environment variables during Docker build commands? What services do you use for storing Docker images?
6. How do you establish a connection with databases in your deployments or infrastructure setup?
7. How do you handle authentication for EKS clusters and store secrets securely in your environment?
8. How do you create AWS Lambda functions and manage the artifacts for deployment? What options do you use to push artifacts to Lambda?
9. What is email signing and Helm chart signing? Which tools do you use to sign Helm charts?
1. Project experiences.
2. Day-to-day responsibilities.
3. Light behavioral questions.
4. Teamwork & Culture Fit questions.
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If you’re preparing for Terraform Professional or DevOps interviews, these are some deep, practical questions you should master 👇
How does Terraform manage implicit vs explicit dependencies?
What happens if the .tfstate file is lost or corrupted?
Why do we store state in S3 with DynamoDB locking?
Difference between terraform refresh, plan, and apply.
How do you design Terraform modules for multi-region or multi-account setups?
Difference between count, for_each, and dynamic blocks.
How do you pass outputs between modules and environments?
When should you use Terraform workspaces?
What are better alternatives to workspaces in production?
When to use local-exec and remote-exec?
Explain create_before_destroy, ignore_changes, and prevent_destroy.
Real-world use of lookup(), merge(), cidrsubnet(), and coalesce().
Difference between count.index and each.key.
terraform init -reconfigure
terraform plan -out=tfplan
terraform apply -auto-approve tfplan
terraform import aws_instance.myvm i-0abcd1234
terraform state mv / terraform state rm
Terraform drift detection in CI/CD pipelines.
Securing variables with Vault / AWS Secrets Manager.
Policy-as-Code using Sentinel or OPA.
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
- All Kubernetes Content
- Kubernetes Realtime scenarios
- All Kubernetes Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Kubernetes Tricks & Techniques for DevOps guy
- Added Certified Kubernetes Administrator (CKA) Notes
- All Kubernetes Realtime examples included
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Forwarded from DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
One-click setup for your DevOps learning journey
Get all essential tools installed and configured on your local machine — in just minutes!
This lightweight toolkit automatically installs and configures the most essential DevOps tools you need to start learning — no complex setup, no headaches.
Perfect for beginners who want to *learn by doing*
Version Control: Git — Code versioning with helpful aliases
Containerization: Docker, Docker Compose — Container management & orchestration
Orchestration: Kubernetes (kubectl + Minikube) — Local K8s setup
Infrastructure: Terraform — Infrastructure as Code
Configuration: Ansible — Automation & configuration management
Development: VS Code — Preloaded with DevOps extensions
Cloud CLI: AWS CLI, Azure CLI — Multi-cloud management tools
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Before Terraform, managing infrastructure meant manual setups, clicking around cloud dashboards and hoping nothing was missed.
It was 𝘁𝗶𝗺𝗲-𝗰𝗼𝗻𝘀𝘂𝗺𝗶𝗻𝗴, 𝗲𝗿𝗿𝗼𝗿-𝗽𝗿𝗼𝗻𝗲 and 𝗵𝗮𝗿𝗱 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲
Then came 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺.
𝗙𝗮𝘀𝘁, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 and 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗹𝗲.
Developed by HashiCorp, Terraform introduced a new approach:
"Manage infrastructure like 𝗖𝗢𝗗𝗘."
Terraform is an Infrastructure as Code (IaC) tool that allows you to define, manage and provision infrastructure using simple configuration files.
𝗪𝗵𝘆 𝗗𝗼 𝗪𝗲 𝗡𝗲𝗲𝗱 𝗜𝘁?
𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘁𝗼𝗼𝗹, 𝗶𝘁’𝘀 𝗮 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗳𝗼𝗿 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗿𝗻 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲.
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1. Programming and Scripting: Master Python, Bash, and PowerShell for automation and custom solutions.
2. Version Control: Gain proficiency in Git: basics, branching, merging, and common workflows.
3. Configuration Management: Learn tools like Ansible, Chef, and Puppet to automate environment setups.
4. CI/CD: Implement and optimize pipelines using Jenkins and GitLab CI/CD for continuous integration and delivery.
5. Infrastructure as Code (IaC): Manage infrastructure with Terraform and CloudFormation for scalable, repeatable environments.
6. Containerization: Work with Docker and Podman to build, ship, and run applications consistently across environments.
7. Container Orchestration: Use Kubernetes and Docker Swarm to manage containerized applications at scale.
8. Monitoring and Logging: Monitor systems with Prometheus and analyze logs with the ELK Stack (Elasticsearch, Logstash, Kibana).
9. Cloud Platforms: Gain expertise in cloud services from AWS, Azure, and GCP for flexible and scalable solutions.
10. Security and Compliance: Integrate DevSecOps practices to ensure security is a part of the DevOps pipeline.
11. Networking: Understand the basics of cloud networking, including VPCs, load balancers, and DNS.
12. Release Management: Learn advanced deployment strategies like blue-green deployments and canary releases.
13. Collaboration: Embrace Agile methodologies and tools like Jira and Slack for efficient teamwork.
14. Incident Management: Develop on-call strategies, incident response plans, and use tools for tracking and managing incidents.
15. Automation: Continuously enhance your CI/CD and automation skills, focusing on efficiency and reliability.
16. Continuous Learning: Stay updated with industry certifications, trends, and new technologies.
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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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