🚀 [UPDATE] AWS DevOps Real-Time Deployment Repo Improved! 🔥

We've made key enhancements to our AWS DevOps Real-Time Deployment | Dev → Pre-PROD → Production repository to improve reliability, automation, and error handling. ✅

🔹 What’s New?
✔️ Enhanced `appspec.yml` – Added file permissions & pre-install validation
✔️ New `validate_environment.sh` – Checks prerequisites before installation
✔️ Improved `buildspec.yml` –
🔹 Conditional Nginx installation
🔹 Validation before copying index.html
🔹 Restarting Nginx after deployment
🔹 New test phase to verify Nginx is running 🚀
✔️ Refined `install_nginx.sh` – Now idempotent & handles errors better
✔️ Updated `start_nginx.sh` – Ensures Nginx is installed before starting & uses systemctl
✔️ Better Logging & Status Checks – More visibility & automatic service management

📱 Check out the latest updates:: https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment


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

Just had an Great interview experience for the role of a DevOps Engineer with 1-2 years of experience! ✨

I recently had the opportunity to interview for a DevOps Engineer position, and I wanted to share some of the questions that were asked during the process. Whether you're preparing for a similar role or just interested in the DevOps field, I hope you find these questions helpful!

✅ Regarding Self Introduction and DevOps:
1) Could you Please Introduce yourself Briefly about your background and your project ?
2) What Does DevOps Means and how DevOps is Different from Other Department in IT Industry ?
3) What Happen when DevOps comes in IT Industry ?
4) Could you please Explain me About your last project have you worked on and what was you roles and responsibility ?

✅ About Linux OS:
1) What are Different OS have you Familiar with and worked on ?
2) What is Kernel ?
3) which Linux version you used in your project ?
4) why we Used Linux OS Rather than Windows and any other ?

✅ About Git GitHub and Gitlab:
1) What is Git, GitHub and Gitlab what is the difference between them ?
2) what is Merge and Rebase ?
3) How do you revert a commit in Git ?
4) Explain the difference between Git pull and Git fetch ?
5) Explain the Branching Strategies have you used in your project

✅ About CICD with Jenkins:
1) what is CICD and explain me the Jenkins file and Its Stages ?
2) In which phase Testing will do In CI phase or in CD phase ?
3) how did you used Jenkins in your project ?
4) Describe the process of setting up a Jenkins job to automate a build process ?

✅ About Docker and K8S:
1) What Does mean by containerization and Orchestration ?
2) What is a Docker image, and how is it different from a Docker container?
3) How do you manage data persistence in Docker containers?
4) Have you Used docker Compose ?
5) could you Explain me a Docker File for Node ?
6) How do you secure a MySQL Data which is Running in my container ?
7) what is Ingress and Deployment in K8S ?
8) what is Services in K8S ?
9) How can K8S control and manage a containers ?

✅ Some Scenarios Questions:
1) Your company is planning to implement a disaster recovery (DR) strategy for its critical services hosted on AWS. Describe the steps you would take to design and implement a robust DR plan, including backup strategies, failover mechanisms, and testing procedures.


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

🚀 Big Update: AWS Billing Alert Terraform Module! 💰📊

We've rolled out some major enhancements to help you monitor AWS costs more efficiently! Check out the new features:

✅ Multiple Email Alerts – Notify multiple recipients at once! 📧
✅ SNS Dead-Letter Queue (DLQ) – Never miss an alert with automatic retries. 🔄
✅ Per-Service Billing Alerts – Track individual AWS services like EC2, S3, etc. 💰
✅ Enhanced CloudWatch Filters – Get better visibility into your billing logs. 🔍
✅ CloudWatch Dashboard – Visualize billing trends with real-time insights. 📈

Upgrade your Terraform setup today and take full control of your AWS expenses!

☁️ Check it out on GitHub: https://github.com/NotHarshhaa/aws-billing-alert-terraform


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

As a DevOps engineer, mastering the Linux 🐧 command line is crucial for efficient system administration and management. Here are some essential Linux commands you should know:

1️⃣. File and Directory Management:
ls: List directory contents.
cd: Change directory.
pwd: Print working directory.
mkdir: Create a new directory.
rm: Remove files or directories.
cp: Copy files or directories.
mv: Move or rename files or directories.

2️⃣. User and Permission Management:
useradd: Add a new user.
passwd: Set or change user passwords.
chown: Change file ownership.
chmod: Modify file permissions.
su: Switch user.
sudo: Execute commands with superuser privileges.

3️⃣. Process and Service Management:
ps: Display running processes.
top: Monitor system processes.
kill: Terminate processes.
systemctl: Manage system services (systemd-based systems).
service: Manage services (init-based systems).

4️⃣. Networking and System Monitoring:
ifconfig or ip: Configure network interfaces.
netstat: Display network statistics.
ping: Test network connectivity.
df: Show disk space usage.
free: Display memory usage.
uptime: Show system uptime.

Remember that this is just a starting point, and there are many more Linux commands and utilities. Feel free to explore and deepen your knowledge as you work with Linux in your DevOps journey! 🐧 🚀

➡️Reference links: [1] [2] [3] [4]


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

👨‍💻 A Day in the Life of a DevOps Engineer: Real Stories and Challenges


📖 Check it out here: A Day in the Life of a DevOps Engineer

Ever wondered what it's like to be a DevOps engineer? It's a fast-paced, problem-solving, and highly dynamic role that comes with its fair share of challenges—and funny moments too! 😅

In this article, we dive deep into what a typical day looks like, from handling pipeline issues to collaborating with developers and dealing with unexpected incidents. Whether you’re new to DevOps or a seasoned pro, this is one story you won’t want to miss!

✨ Read Now to discover:
🔧 Real-life challenges
💻 Problem-solving strategies
⚡️ Funny incidents that every DevOps engineer will relate to!

👉 Don’t forget to share your own DevOps experiences in the comments!

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

🚀 Excited to share the power of Prometheus in the world of 𝐃𝐞𝐯𝐎𝐩𝐬! 🌐

👉 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬?
Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It's your go-to companion for gaining deep insights into your infrastructure and applications.

Here are some key points highlighting the advantages and applications of Prometheus:

🔢. 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 📊:
➡️ Prometheus provides robust real-time monitoring, allowing DevOps teams to gain insights into system performance and quickly identify issues.

🔢. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 🚀:
➡️ Its scalable architecture makes Prometheus suitable for both small-scale setups and large, complex environments, ensuring adaptability as your infrastructure grows.

🔢. 𝐌𝐮𝐥𝐭𝐢-𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥 🔄:
➡️ Embrace the flexibility of Prometheus' multi-dimensional data model, which simplifies querying and reporting, providing a comprehensive view of your system.

🔢. 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🚨:
➡️ Enjoy proactive alerting capabilities that empower teams to detect anomalies and potential issues before they impact users, enabling a more reliable and resilient infrastructure.

🔢. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 🌐:
➡️ Prometheus seamlessly integrates with service discovery mechanisms, making it an excellent choice for dynamic environments where instances and services may change dynamically.

🔢. 𝐑𝐢𝐜𝐡 𝐐𝐮𝐞𝐫𝐲 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 💬:
➡️ Leverage Prometheus Query Language (PromQL) to perform complex queries and obtain meaningful insights, enabling a deep dive into the performance metrics of your applications.

🔢. 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 🤝:
➡️ Engage with a vibrant and supportive open-source community that continually contributes to Prometheus' development, ensuring a cutting-edge and evolving monitoring solution.

🔢. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 📈:
➡️ Combine the power of Prometheus with Grafana for visually appealing and interactive dashboards, providing a user-friendly interface for monitoring and analysis.

🔢. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 🐳:
➡️ Prometheus natively supports containerized environments, making it an ideal choice for organizations embracing container orchestration platforms like Kubernetes.

🔢🔢. 𝐂𝐥𝐨𝐮𝐝-𝐍𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 ☁️:
➡️ Seamlessly adapt Prometheus to your cloud-native ecosystem, gaining visibility into distributed architectures and microservices.


💬 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

⚡️ 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

Free Cloud Computing with Certificate

Understanding Cloud

Like 👍 Share 🤝


➡️Cloud Foundations
https://lnkd.in/dtKua4yd

➡️ AWS Vs Azure VS GCP
https://lnkd.in/d7e-UbYZ

➡️ Amazon Services
https://lnkd.in/dnFQyJen

➡️ IaaS for Cloud Computing
https://lnkd.in/dPgqtWrK

➡️ Serverless Computing
https://lnkd.in/d9nH8Kdc

➡️ Create Azure Bot
https://lnkd.in/dt5mV4Rc

➡️ Microsoft Azure Essentials
https://lnkd.in/dmfjR6bP

➡️ Cloud Foundations - Advanced
https://lnkd.in/d-FTGGhQ

➡️ Cloud Computing Architecture
https://lnkd.in/dFj6Gd8s

➡️ Cloud Service Models
https://lnkd.in/duZpiUn3

➡️ PaaS for Cloud Computing
https://lnkd.in/dTtJi6UA

➡️ SaaS in Cloud Computing
https://lnkd.in/dt3kyj5K

➡️ Cloud Serverless Application
https://lnkd.in/dpcUAVkp

➡️ IAM Cloud Security
https://lnkd.in/dYuYkDpj

➡️ Applications of Cloud Computing
https://lnkd.in/dUFr--gR

➡️ Cloud Computing for Organizations
https://lnkd.in/dracc7gZ

➡️ Cloud Networking With AWS VPC
https://lnkd.in/d9JnGRzM

➡️ AWS For Beginners
https://lnkd.in/dqsbcqDy

➡️ Serverless Computing
https://lnkd.in/d9nH8Kdc

➡️ Elastic Stack
https://lnkd.in/ditMH4Jm

➡️ What is AWS EC2?
https://lnkd.in/dDDVxuhD

➡️ AWS Sagemaker
https://lnkd.in/dkedDQsT

➡️ AWS Load Balancer
https://lnkd.in/daUq5s6G

➡️ Virtual Cloud Computing
https://lnkd.in/dSg7NJNW

➡️ Cloud Engineer Roles and Responsibilities
https://lnkd.in/dKVtHDWJ


📱 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

♾ DevOps Zero to Hero ♾


🖥 AWS Zero to Hero Course
🔠https://lnkd.in/dgZ446me

🖥 DevOps Zero to Hero Course
🔠https://lnkd.in/dbfYhieG

🖥 Terraform Zero to Hero
🔠https://lnkd.in/dafDXUh6

🖥 Docker
🔠https://lnkd.in/dV2myVq6

🖥 Kubernetes
🔠https://lnkd.in/dynrCFVy

🖥 Observability Zero to Hero
🔠https://lnkd.in/dHwdSa4W

🖥 Azure Zero to Hero
🔠https://lnkd.in/d3PCGrrA

🖥 What is CICD ?
🔠https://lnkd.in/d7EN3Ymi

🖥 Jenkins ZERO to HERO
🔠https://lnkd.in/dvPCQ9XZ

🖥 Real-Time Projects for DevOps and Cloud
🔠https://lnkd.in/dtuqFPNQ

🖥 GitOps & Argo CD
🔠https://lnkd.in/dBCpzJ5f

🖥 Python for DevOps
🔠https://lnkd.in/dewqThFz

🖥 Shell Scripting for DevOps
🔠https://lnkd.in/dbXVPbyT

🖥 Ansible Zero to Hero
🔠https://lnkd.in/df_Gnn74

🖥 Real DevOps Podcasts
🔠https://lnkd.in/ds6XAx_S


📱 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