⚡️ I've spent over 4 years in DevOps and cloud.

➡️Here’s a summary of 10 brutal troubleshooting facts I’ve learned:

1) Check logs first, always – Logs contain the first clues; learn how to filter, search, and analyze them efficiently.

2) Trace the request flow – Understand how a request moves through the system to pinpoint failures faster.

3) Use process of elimination – Isolate components one by one to find the root cause instead of guessing.

4) Know the difference between infra and app issues – Is it a misconfigured server, network problem, or bad code?

5) Validate external dependencies – If your service relies on APIs, databases, or third-party tools, check their status.

6) Check system resource limits – Running out of memory, CPU, or disk can cause random failures.

7) Reproduce the issue in a test environment – If possible, recreate the failure to understand it better.

8) Keep a "known issues" doc – If something breaks often, document the fix so you (or others) don’t waste time.

9) Use health checks effectively – Proper liveness and readiness probes can detect and prevent hidden failures.

10) Know when to escalate – If you've checked the usual suspects and still can't fix it, don't waste time, get help.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Big Update: DevOps Tool Installer/Uninstaller Just Got Smarter! 🛠


📱 Check it out here: DevOps Tool Installer on GitHub: https://github.com/NotHarshhaa/DevOps-Tool-Installer

We’ve rolled out major improvements to make installing and managing DevOps tools smoother, faster, and more efficient! 🎉

✨ What’s New?
🔹 OS Auto-Detection – Automatically selects the correct package manager based on your Linux distribution.
🔹 Silent Mode (`--silent`) – Run the script without prompts, perfect for automation! 🤖
🔹 Parallel Execution – Speeds up installations by running multiple tasks in parallel.
🔹 Self-Update Feature – Always get the latest script version from GitHub with one command.
🔹 Improved Logging – Tracks all actions in install_devops_tools.log for easier debugging.
🔹 Smart Install Checks – Skips reinstalling tools if they are already installed.
🔹 Newly Supported Tools – ArgoCD, FluxCD, Trivy, k9s, and Podman now included! 🎯

💡 Windows Users? We Got You!
✅ Fixed Unicode Issues in PowerShell Script
✅ Improved input validation & error handling
✅ Resolved GitLab Runner encoding problems

📢 Upgrade Now & Automate Like a Pro!
👉 Clone the repo:

git clone https://github.com/NotHarshhaa/devops-tool-installer.git

👉 Run the script:

install_devops_tools.sh

📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 25 Blogs to Learn 25 AWS Concepts:


1) API Gateway: https://lnkd.in/gDzJiv3b

2) Scaling Patterns: https://lnkd.in/gCpXKHPC

3) VPC Network Segmentation: https://lnkd.in/grtAeerp

4) DR Strategies: https://lnkd.in/gTgjkNm9

5) Load Balancers: https://lnkd.in/gjUKAxrT

6) Cross Zone Load Balancing: https://lnkd.in/gy4wDuRR

7) IAM Policies: https://lnkd.in/g9fFM32H

8) EC2 Guide: https://lnkd.in/gAhw8iqJ

9) DNS Record Types: https://lnkd.in/gbmf-vxv

10) DNS Policies: https://lnkd.in/gQxHrHZZ

11) VPC Peering: https://lnkd.in/g7RdM54v

12) VPC Gateway Endpoints:https://lnkd.in/g7-CUNfZ

13) Internet Gateway vs NAT Gateway: https://lnkd.in/gvYAk8uM

14) 7Rs Cloud Migration: https://lnkd.in/g86pKgVh

15) Lambda Integrations: https://lnkd.in/gcvhvXbr

16) Lambda Cold Starts: https://lnkd.in/gkjzhEsv

17) Lambda Power Tuning: https://lnkd.in/gmyKXf_6

18) Data Transfer Costs: https://lnkd.in/gWYtZp7s

19) Hexagonal Architecture: https://lnkd.in/gwJ3UmYm

20) GuardDuty: https://lnkd.in/gF6u4533

21) SSO: https://lnkd.in/grYZhjhu

22) Signed vs Pre Signed URL: https://lnkd.in/g2ypcPeA

23) Serverless Architecture: https://lnkd.in/gvFdB3dF

24) Cloud Cost Control: https://lnkd.in/gEKJjjAB

25) Behind the Scenes of a Cloud App: https://lnkd.in/gpfSi-Hi


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔹 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻: 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘄𝗶𝘁𝗵 𝗕𝗹𝗼𝗰𝗸𝘀 📦


1️⃣ 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗕𝗹𝗼𝗰𝗸 → 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 → 𝗔𝘇𝘂𝗿𝗲𝗿𝗺 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝗩𝗮𝗹𝘂𝗲𝘀
Before deploying anything, Terraform needs to know which cloud provider to use.
𝗙𝗼𝗿 𝗔𝘇𝘂𝗿𝗲, 𝘄𝗲 𝘂𝘀𝗲 𝘁𝗵𝗲 𝗮𝘇𝘂𝗿𝗲𝗿𝗺 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿.

✅ Example:

𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 {
 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱_𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 {
 𝗮𝘇𝘂𝗿𝗲𝗿𝗺 = {
 source = "hashicorp/azurerm"
 version = "~>3.0"
 }
 }
}

🔹 required_providers → Specifies the provider (azurerm).
🔹 source → HashiCorp’s Azure provider.
🔹 version → Ensures compatibility (optional but recommended).

2️⃣ 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝗮𝘇𝘂𝗿𝗲𝗿𝗺 𝗕𝗹𝗼𝗰𝗸 → 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗕𝗹𝗼𝗰𝗸 + 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 𝗜𝗗
After defining the provider, we configure its details.

✅ Example:

𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿 "𝗮𝘇𝘂𝗿𝗲𝗿𝗺" {
 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 {} # 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱
 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻_𝗶𝗱 = "𝘆𝗼𝘂𝗿-𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻-𝗶𝗱" # 𝗢𝗽𝘁𝗶𝗼𝗻𝗮𝗹
}

🔹 features {} → Required (even if empty).
🔹 subscription_id → Specifies which Azure subscription to use (if needed).

💡 Without subscription_id, Terraform will use the default Azure subscription from az login.

3️⃣ 𝗡𝗼𝘄, 𝗹𝗲𝘁’𝘀 𝗱𝗲𝗽𝗹𝗼𝘆 𝗮 𝘀𝗶𝗺𝗽𝗹𝗲 𝗔𝘇𝘂𝗿𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗚𝗿𝗼𝘂𝗽 𝘂𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺

✅ Example:

resource "azurerm_resource_group" "my_rg" {
 name   = "MyResourceGroup"
 location = "East US"
}

🔹 resource → Declares a resource to be created.
🔹 azurerm_resource_group → Specifies the Azure Resource Group service.
🔹 my_rg → Local Terraform name (used for referencing).
🔹 name → The actual resource group name in Azure.
🔹 location → The Azure region where it will be deployed.

4️⃣ 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 🏗
🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗶𝗻𝗶𝘁 → Initializes Terraform in the working directory (downloads provider plugins, sets up backend).
🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗳𝗺𝘁 → Formats Terraform code for readability and best practices.
🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲 → Checks for syntax errors and verifies the configuration is valid.
🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗽𝗹𝗮𝗻 → Shows the execution plan without applying changes.
🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗮𝗽𝗽𝗹𝘆 → Deploys or updates infrastructure resources.
🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝘁𝗿𝗼𝘆 → Deletes all managed infrastructure resources.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ List of 📱 Git commands for DevOps Engineer, along with their usage:


⚡️Basic Git Commands:
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.

⚡️Git Branching Commands:
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.

⚡️Git Remote Commands:
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.

⚡️Git Merge and Conflict Resolution Commands:
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.

⚡️Git Tagging Commands:
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.

⚡️Git Reset and Revert Commands:
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.

⚡️Git Stash Commands:
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.

⚡️Git Submodule Commands:
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.

⚡️Git Cherry-Pick Commands:
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.

⚡️Git Rebase Commands:
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.

⚡️Git Diff Commands:
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.


📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⏩ For those 9,999,999,999 boys and girls who still don’t fully understand the Kubernetes pod.yaml file structure.

➡️Here, I've broken down the basic structure for you.

Writing a pod.yaml isn't enough, you need to know how to practically use it effectively.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 25 Blogs to Learn 25 Kubernetes Concepts:

1) Kubernetes Architecture: https://lnkd.in/gmRDrusm
2) POD Lifecycle: https://lnkd.in/g9cbpma4
3) etcd Setup: https://lnkd.in/gFzjeCXu
4) etcd Locks: https://lnkd.in/gYbtKsK2
5) crashloopbackoff: https://lnkd.in/gyKyBRt2
6) OOMKilled: https://lnkd.in/gznwimNr
7) ImagePullBackOff: https://lnkd.in/gzCTSWRG
8) CreateContainerConfigError: https://lnkd.in/g6Z5TdBt
9) CreateContainerError: https://lnkd.in/gG_2nHb7
10) RunContainerError: https://lnkd.in/ggQcqi5t
11) Node Disk Pressure: https://lnkd.in/gu9eFiRw
12) Node Not Ready: https://lnkd.in/gksPqZYF
13) Pod Disruption Budget: https://lnkd.in/gNZNxewk
14) RBAC: https://lnkd.in/g2Pr_aA5
15) DNS Optimization: https://lnkd.in/gmNkjZeV
16) Kubernetes Controller: https://lnkd.in/gZ6pkzMt
17) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS
18) Kubernetes Upgrades: https://lnkd.in/g3nwTgwA
19) KEDA vs Karpenter: https://lnkd.in/gED3Vypc
20) Operator vs Helm: https://lnkd.in/gSeg56ME
21) Kubernetes Air Gap: https://lnkd.in/gxxqWdEE
22) QoS Classes: https://lnkd.in/gr_QU8BN
23) Kubernetes CI/CD: https://lnkd.in/gpk_Et74
24) Deployment Strategies: https://lnkd.in/gdU_8A38
25) Security Contexts: https://lnkd.in/gNQizuFy


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Whether you are automating with Ansible, deploying with Terraform, or scaling with Kubernetes, Linux is the core that keeps DevOps running.

It is not just a preference; it is the heart of DevOps.

1. Basics

- Linux for Noobs (Hands-on)
https://lnkd.in/dsi3rZD2

- Intro to Linux Fundamentals - What is Linux?
https://lnkd.in/dc-fVvfq

- Practice on Linux fundamentals
https://linuxjourney.com/

- Learn the Linux Fundamentals - Part 1
https://lnkd.in/dF67i8KP

2. Editing Files - Learn Vim Progressively
https://lnkd.in/dpHcCrJ9

3. Working with Files
https://lnkd.in/dpHcCrJ9

4. Master Linux Text Processing Commands with Our Comprehensive Guide
https://lnkd.in/djdXTi7y

5. Server Review

- Uptime Load
https://lnkd.in/dVfRieuJ

- Auth Logs
https://lnkd.in/d2u_7UrK

- Services Running
https://lnkd.in/dyrGDBC4

- Evaluating Available Memory
https://lnkd.in/dREPwPAF

6. Understanding Linux Process Management
https://lnkd.in/d7MhqPE6

7. User Management
https://lnkd.in/dXEEqzAZ

8. Service Management
start, stop, restart Linux services (daemon HUNTING!!)
https://lnkd.in/df5JUVpi

9. Package Management
https://lnkd.in/dZsXHF6X

10. Linux Disks Filesystems
https://lnkd.in/dJitXYbB

11. Booting Linux
https://lnkd.in/dnJ7nRXB

12. Networking
https://lnkd.in/dRiKdXGQ

13. Shell Programming
https://lnkd.in/d58tjyBU

14. Troubleshooting
https://lnkd.in/dF26NVzN


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 If you're starting to build your expertise in Kubernetes here are 4 projects I'd recommend
(for beginners and advanced learners both)


🔢. Build a Multi-tier Application on K8s (Beginner level)
↳ Deploy a 3-tier app (frontend, backend, database)
↳ Configure Ingress for external access.
↳ Implement service discovery via Kubernetes Services.
↳ Set up health checks via Kubernetes deployment definitions.

➡️Tutorial: https://lnkd.in/dqD8m4Ui
Don't just highlight containers or tools. Show the full application lifecycle.

🔢. CI/CD Pipeline Explanation (Beginner level)
↳ Automate build, test, and deployment processes.
↳ Use Jenkins for CI and Argo CD for CD.
↳ Implement code quality checks with SonarQube.
↳ Utilize GitOps for managing application manifests.

➡️Tutorial: https://lnkd.in/dn6k_4pD
Focus on automation patterns, not just the tools. Demonstrate end-to-end workflow thinking.

🔢. Kubeflow Pipeline Deployment and Execution (Advanced with ML components)
↳ Deploy a Kubeflow pipeline using the Kubeflow Pipelines UI.
↳ Execute a Kubeflow pipeline with pre-defined components.
↳ Monitor pipeline execution and view results.
↳ Understand basic Kubeflow pipeline concepts.

➡️Tutorial: https://lnkd.in/drCT9sWQ
Show how ML workflows integrate with container orchestration. It's about the architecture, not just the ML.

🔢. DevSecOps Pipeline for a TypeScript Application (Advanced)
↳ Implement a DevSecOps pipeline with GitHub Actions.
↳ Containerize the application using Docker.
↳ Perform vulnerability scanning with Trivy.
↳ Deploy to Kubernetes using Argo CD and GitOps.
↳ Implement logging & monitoring for the end-to-end app

➡️Tutorial: https://lnkd.in/dM-ZUEwy
Security isn't a checkbox. Show how it's integrated throughout the development lifecycle.

➡️In a nutshell:
These aren't abstract exercises.
These are solutions to real operational challenges.
These demonstrate depth in cloud architecture, and integrated DevOps workflows.

🔠 Because employers want to see how you solve complex problems.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Big Update in Learning-Prometheus Repo! 🚀


📱 Check out the repo: https://github.com/NotHarshhaa/Learning-Prometheus

We’ve made significant improvements to the Learning-Prometheus repository to enhance clarity, readability, and best practices for Kubernetes monitoring. Here’s what’s new:

📖 Enhanced Documentation
🔹 Detailed explanations for key Kubernetes resources:
- Deployment – Breakdown of API version, metadata, selectors, templates, and pod specifications.
- Service – Clarified API version, labels, selectors, and port configurations.
- ServiceMonitor – Improved description of job labeling, metric scraping, and Prometheus integration.
- PrometheusRules – Clearer explanation of alerting rules, expressions, and severity levels.
- AlertmanagerConfig – Better insights into alert routing, notification receivers, and email configurations.

📌 Now, understanding Kubernetes monitoring components is easier than ever!

⚙️ Updated Kubernetes YAML Manifests
We’ve refined Kubernetes configurations to follow best practices and optimize performance:

✅ AlertmanagerConfig.yaml – Improved alerting rules, refined email configurations, and enhanced notification handling.
✅ Deployment.yaml – Optimized resource limits, added clear annotations for better pod management.
✅ PrometheusRule.yaml – Fine-tuned alerting expressions, adjusted severity levels for better alert prioritization.
✅ Service-monitor.yaml – Ensured accurate metric scraping paths, improved job labeling for Prometheus.
✅ Service.yaml – Enhanced label consistency, improved port naming conventions, and refined session affinity handling.

💡 Why these changes?
These updates ensure better observability, more reliable alerting, and improved scalability of Prometheus monitoring in Kubernetes!

📢 Spread the word! 🚀 #Kubernetes #Prometheus #DevOps #Monitoring


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

How does Docker 🐬work?


🔢. Docker Client: This is the interface where users interact with Docker using commands like:
• Docker build: Creates a Docker image based on the configurations defined in a Dockerfile.
• Docker push: Pushes the created image to a remote Docker registry for storage and sharing.
• Docker pull: Pulls an image from the Docker registry to the local environment.
• Docker run: Runs a container from an image on the Docker host.

🔢. Docker Host:
• Contains the Docker Daemon (or Docker Engine), which manages Docker objects like images, containers, networks, and volumes.
• It communicates with the Docker client to execute commands and manages the lifecycle of containers.

🔢. Containers and Images:
• Images: Immutable templates (like MySQL, Redis, NGINX) that contain the application code, runtime, libraries, and dependencies.
• Containers: Instances of images that run the application. Each container is an isolated environment where the application functions independently.

🔢. Docker Registry:
• Stores images and allows them to be shared between different environments.
• The Docker client can push and pull images to/from the registry, enabling distributed deployment of applications.

🔢. Workflow:
• Build: The Docker client builds an image and stores it locally or in the registry.
• Push: The built image can be pushed to a remote registry for easy access.
• Pull: Images from the registry can be pulled to the local environment as needed.
• Run: The Docker host runs containers from these images, creating isolated environments for each instance.


📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

You're using Linux 🐧wrong!

Most people dive into Linux without truly understanding its file system hierarchy, leading to confusion and inefficiency.

Ever wondered why system files are scattered across /bin, /sbin, and /usr/bin? Or why logs are in /var/log instead of /log?

Here’s a breakdown of the Linux File System Hierarchy to clear up the confusion:

╰ / - Root directory (everything starts here)
╰ /bin - Essential binaries (ls, cp, mv)
╰ /boot - Boot loader files (kernel, GRUB)
╰ /dev - Device files (USB, HDD, tty)
╰ /etc - Configuration files
╰ /home - User home directories
╰ /lib - Essential system libraries
╰ /media - Auto-mounted media (USB, CD)
╰ /mnt - Temporary mount point
╰ /opt - Third-party software packages
╰ /proc - Virtual filesystem for processes
╰ /root - Root user’s home directory
╰ /run - Runtime process data
╰ /sbin - System binaries (fsck, reboot)
╰ /srv - Server-specific data
╰ /sys - Kernel system information
╰ /tmp - Temporary files (cleared on reboot)
╰ /usr - User applications and tools
╰ /usr/bin - Non-essential user binaries
╰ /usr/lib - Libraries for /usr/bin
╰ /usr/local - Locally installed software
╰ /usr/share - Shared data (icons, docs)
╰ /var - Variable data (logs, cache, mail)
╰ /var/log - System logs
╰ /var/spool - Queued jobs (print, mail)

Understanding this structure helps you -

🔠 Locate files efficiently
🔠 Troubleshoot system issues faster
🔠 Optimize performance & security


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 Azure DevOps Scenario Based Interview Questions 🚨


1. In your current project, could you describe the overall architecture of your CI/CD pipeline that you have designed for cloud applications in Azure DevOps?

2. Can you explain how you handled the integration of infrastructure-as-code (IaC) into your Azure DevOps pipeline? Did you use tools like Azure Resource Manager templates, Terraform, or others to manage resources, and how did it integrate with your CI/CD pipeline?

3. How do you manage different deployment strategies like Blue-Green Deployment or Canary Releases using Azure DevOps and Azure Cloud?

4. In your project, how do you handle the automation of your build pipelines using Azure DevOps?

5. Can you provide examples of scripts or commands you’ve used in the release pipeline for deploying to multiple environments

6. You mentioned using GitHub Actions for CI/CD automation. Can you provide a practical example of a custom script you created using GitHub Actions for automated testing or build tasks?

7. In Azure DevOps, you can use Azure CLI or PowerShell commands to automate tasks. Can you give an example of how you utilized these tools in your CI/CD pipeline to interact with Azure resources, such as creating or updating Azure VMs, storage accounts, or App Services?

8. In the context of your deployment pipeline, can you explain how you wrote a script that triggers the deployment process after successful completion of build steps? How do you implement a rollback strategy if something goes wrong during deployment?

9. Tell me the deployment process of a web application to Azure App Services using Azure DevOps pipelines. What steps and commands do you include in the pipeline, from building the artifact to testing and deploying to production?

10. How did you implement continuous monitoring during the deployment process? Could you give an example of how you track deployments in real-time, and how do you handle failed deployments?

11. In your current project, how did you handle the containerization of applications using Docker? Can you walk us through the process of creating a Dockerfile for a web application and how you integrated it into your Azure DevOps pipeline?

12. Once you containerized an application, how did you manage the deployment to Azure Kubernetes Service (AKS)? What steps did you follow to push your Docker images to Azure Container Registry (ACR), and how did you create and deploy Kubernetes manifests (YAML)?

13. Let’s say during a deployment, your build pipeline has passed successfully, but the deployment to a pre-prod environment fails. What steps would you take to debug the issue, and which logs or commands would you check first in Azure DevOps?

14. In your CI/CD pipeline, how do you handle automated testing? Can you explain how you integrated unit tests, into your pipeline using Azure DevOps?


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 Terraform Directory Structure – The Right Way! 🚨

Are you managing your Terraform projects correctly?
A well-structured Terraform directory ensures scalability, reusability, and efficient infrastructure management. Let’s dive into best practices!

1️⃣ Environments – Separate Configs for Dev, Staging & Prod
Managing multiple environments? Here’s how to structure them:
📂 Development/
📂 Staging/
📂 Production/

Each contains:
✅ main.tf – Defines cloud resources.
✅ variables.tf – Declares variables without values.
✅ outputs.tf – Stores Terraform outputs for dependencies.
✅ terraform.tfvars – Provides values for variables.

🔹 Why?
Isolates Dev, Staging, and Production setups.
Avoids accidental production changes.
Makes configurations modular & reusable.

2️⃣ Modules – Reusable Infrastructure Components
Instead of repeating code, Terraform Modules help reuse configurations.
📌 VPC Module – Handles Virtual Private Cloud creation.
📌 EC2 Module – Manages EC2 instances efficiently.

🔹 Why?
🚀 Eliminates duplicate code – Define once, use everywhere!
🔄 Ensures consistency across environments.
⚙️ Faster deployment – Just call the module!

3️⃣ Scripts – Automate Terraform Workflows
Automation is key in DevOps & IaC. These scripts help:
⚙️ init.sh – Initializes Terraform.
🛑 teardown.sh – Destroys infrastructure to save costs.
🔹 Why?
Saves time by automating Terraform operations.
Reduces manual errors while setting up infrastructure.

4️⃣ Core Terraform Files – The Brains of Your Infrastructure
These files are the foundation of your Terraform project:
✅ provider.tf – Specifies the cloud provider (AWS, Azure, GCP).
✅ backend.tf – Defines state management (e.g., AWS S3, Terraform Cloud).

🔹 Why?
Keeps Terraform state secure instead of local files.
Prevents conflicts in team environments.

🔍 Why This Directory Structure Matters?
✅ Organized, modular, and scalable Terraform projects.
✅ Prevents accidental changes in production.
✅ Reusable infrastructure with Terraform Modules.
✅ Automated setup & cleanup with scripts.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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🖥 25 Blogs to Learn 25 DevOps Concepts:


1) Terraform Project Structure: https://lnkd.in/gZtsrsFu
2) Terraform State: https://lnkd.in/gXSgXfjA
3) Terraform Graphs: https://lnkd.in/g_2ZpxzS
4) Terraform Dynamic Blocks: https://lnkd.in/g7za-55Z
5) Crossplane with ArgoCD: https://lnkd.in/gjwu6fQ7
6) GitOps Push vs. Pull Architecture: https://lnkd.in/g2wwjWfN
7) Multi Cloud GitOps Workflow: https://lnkd.in/gUGNMk2T
8) Kyverno with ArgoCD: https://lnkd.in/gBnEhnHr
9) Dockerfile vs. Docker Compose: https://lnkd.in/g-q_TQzY
10) Docker Image: https://lnkd.in/gFzjeCXu
11) Docket Cache: https://lnkd.in/gS_yPwHi
12) Docker stats: https://lnkd.in/gSpbkwjx
13) Docker Scout: https://lnkd.in/gM4-wdCV
14) GitHub Actions Workflow: https://lnkd.in/gY4eQtwS
15) GitHub Actions Optimization: https://lnkd.in/ggJPdZwK
16) GitHub Branching Strategy: https://lnkd.in/g544Tjcp
17) Ansible Architecture: https://lnkd.in/gJR27EuG
18) Ansible Roles: https://lnkd.in/guqPNz_f
19) Ansible Dynamic Inventory: https://lnkd.in/gu5_JBdB
20) Kubernetes Architecture: https://lnkd.in/gmRDrusm
21) POD Lifecycle: https://lnkd.in/g9cbpma4
22) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS
23) VPC Network Segmentation: https://lnkd.in/grtAeerp
24) Lambda Integrations: https://lnkd.in/gcvhvXbr
25) Serverless Architecture: https://lnkd.in/gvFdB3dF


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs