1) AWS Architecture to Overcome API Gateway Pay Load Limit
2) Kubernetes Pod Disruption Budget Practical Guide
3) How Provisioned Concurrency Cuts AWS Lambda Cold Starts by 98%
4) How to Reduce Docker Image Size
5) Multi Cloud GitOps Workflow for Kubernetes Management
6) GitHub Actions Workflow for Terraform workspaces
7) How To Convert Existing Cloud Infrastructure To Terraform
8) Kubernetes Node Not Ready - How To Fix It
9) How One BigQuery Query Costs Shopify $1M a Month
10) How AWS Handled 2024 Prime Day’s Record Breaking Traffic
11) Hidden Risk Of Relying On Labels In Kubernetes Security
12) Detecting and Mitigating Image Vulnerabilities with Docker Scout
13) Security Researcher Exposed AWS Keys and API Secrets of $1B VC Firm in 5 Clicks
14) Guide to a Well Structured Terraform Project
15) Cloud Disaster Recovery Strategies
16) Why should a container have only one process?
17) AWS VPC Gateway Endpoints - The Most Underrated Cost Savers
18) The Problem With Overusing Terraform Dynamic Blocks
19) How Levels. fyi Cuts Cloud Bill By 15%
20) Kubernetes Air Gap Implementation
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Q1: Preventing accidental resource deletion?
lifecycle { prevent_destroy = true } terraform plan before apply Q2: Handling API rate limiting?
time_sleep between ops Q3: Recovering from a corrupted state file?
terraform import Q4: Backend migration?
terraform state pull → update backend → terraform init -migrate-state Q5: Handling state drift in prod?
terraform plan in CI/CD terraform importQ6: Secrets management?
sensitive = true Q7: Zero-downtime infra updates?
create_before_destroy Q8: Structuring modules for enterprise?
Q9: Large-scale refactoring strategy?
terraform state mv Q10: Terraform testing best practices?
tflint, checkov #Terraform #DevOps #InterviewReady #IaC
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Every cloud engineer starts out thinking they do.
Then they realise… the real secret is mastering the 𝑐𝑜𝑟𝑒 ones that power everything else.
Start small. Build strong.🏆
EC2, Lambda, S3, RDS, VPC, IAM, CloudWatch
Once you understand how these connect, the rest of AWS suddenly makes sense.
You don’t need to know it all, just enough to build confidently.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Photo
•
htop - Like top, but actually useful•
df -h - Because disk space issues find you•
netstat -tulpn - Your network's story•
lsof - What's using that port?•
ps aux | grep - Finding that runaway process•
dmesg - Kernel's gossip channel•
find . -name - Your file search superhero•
tar -xvf - Unzip like a pro•
rsync - scp's smarter cousin•
sed -i - Stream editing wizard•
awk - Text manipulation magic•
grep -r - Find text like a detective•
docker stats - Container vital signs•
docker logs -f - Live container stories•
crictl pods - Kubernetes container whisperer•
kubectl get pods - K8s status check•
tail -f - Log watching party•
watch - Command on repeat•
vmstat - Memory tales•
iostat - Disk performance poetry•
curl -v - HTTP storyteller•
nc - Network swiss army knife•
dig - DNS detective•
ss - Socket statistics•
chmod - Permission painter•
chown - Ownership wizard•
openssl - Certificate craftsman•
ssh-keygen - Key creator•
systemctl - Service sorcery•
journalctl - Log time machine•
kill -9 - Process terminator•
nice - Priority painter•
strace - System call spy•
tcpdump - Network packet poet•
sar - System activity reporter•
perf - Performance profiler•
cut -d - Column collector•
sort | uniq -c - Pattern finder•
tr - Character changer•
wc -l - Line counter•
du -sh - Directory size detective•
fdisk -l - Disk detective•
mount - filesystem connector•
ln -s - Symlink sorcerer•
history | grep - Command time machine•
!! - Last command replay•
ctrl+r - Reverse search magic•
alias - Command shortcut creator•
tee - Output splitter•
xargs - Command multiplier•
at - Job scheduler•
screen/tmux - Terminal multiplexerPlease open Telegram to view this post
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Break it into 4 layers
Individually there are 4 kubernetes components that you need to learn and implement.
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# Install AWS CLI
pip install awscli
# Configure AWS CLI
aws configure
# List IAM users
aws iam list-users
# Create IAM user
aws iam create-user --user-name <username>
# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name>
# List all EC2 instances
aws ec2 describe-instances
# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>
# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id>
# List all S3 buckets
aws s3 ls
# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>
# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path>
# List RDS instances
aws rds describe-db-instances
# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>
# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id>
# List CloudWatch log groups
aws logs describe-log-groups
# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>
# List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments
# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label>
# List CloudFormation stacks
aws cloudformation describe-stacks
# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>
# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>
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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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