Forem: dev Saini

🚀 Successfully Deployed a 3-Tier Application!

dev Saini — Fri, 10 Oct 2025 11:47:16 +0000

I’m thrilled to share that I’ve deployed a full 3-tier application using a modern CI/CD and Cloud Native

stack:
🔹 Jenkins – Automated build & deployment pipelines
🔹 GitHub – Source code management & version control
🔹 EKS (AWS Kubernetes) – Scalable container orchestration
🔹 ArgoCD – GitOps-based continuous deployment
🔹 Prometheus & Grafana – Monitoring and visualization
🔹 Shell Scripts & Linux – Automated environment setup & updates

💡 Key Highlights:
End-to-end automation from code push to deployment
Real-time monitoring and alerts for application performance
Fully scalable and maintainable architecture
Email notifications ensure timely updates on build and deployment status

Github Link: https://lnkd.in/d_yRbkiZ

This project was a hands-on exercise in modern DevOps practices, combining cloud, CI/CD, monitoring, and automation seamlessly.
Always excited to learn, build, and deploy modern solutions!

DevOps #CloudNative #Kubernetes #EKS #Jenkins #ArgoCD #Monitoring #Prometheus #Grafana #CI_CD #Automation #Linux #GitOps #LearningByDoing

Automated AWS Cost Reporting with Alerts 🚀

dev Saini — Thu, 02 Oct 2025 06:40:55 +0000

🚀 Project Complete: Automated AWS Cost Reporting with Alerts 🚀

I just completed a hands-on AWS project where I built an automated cost reporting system using AWS Lambda, Cost Explorer, S3, and SNS.

Here’s what I achieved:

✅ Fetch daily AWS costs per service automatically

✅ Generate CSV reports and store them in versioned S3 bucket

✅ Trigger high-cost alerts via SNS notifications

✅ Track historical cost versions for easy audit

✅ Lifecycle rules to automatically clean old reports

💡 Tools & Skills Used:

AWS Services: Lambda, S3, SNS, Cost Explorer

Python & Boto3 for automation

Data handling: CSV generation, parsing

Cloud best practices: Versioning, cost monitoring, alerts

This project helped me deeply understand AWS cost management, automation, and practical cloud engineering skills.

I’m excited to apply these skills in real-world cloud support/engineering roles and continue building hands-on projects.

Check my github repo link below:

GitHub Link: https://github.com/DEVKUMARSAINI545/AWS_Automated_Cost_Reporting_Alert_With_Dashboard.git

AWS #CloudEngineering #Lambda #S3 #CostManagement #Python #Automation #CloudSupport #Projects

🚀 Day 1 of My Kubernetes Journey!

dev Saini — Wed, 10 Sep 2025 12:54:10 +0000

Excited to kickstart my journey into Kubernetes (K8s), the engine behind modern cloud-native applications.

Today, I explored:

🔹 History:

Kubernetes was originally developed by Google (based on their internal system Borg) and released as open-source in 2014. It has become the de-facto standard for container orchestration.

🔹 Monolithic vs Microservices:

Monolithic apps are single, tightly-coupled systems, harder to scale and deploy.

Microservices break applications into smaller, independent services—perfect for Kubernetes management, scaling, and CI/CD pipelines.

🔹 kubectl:

The command-line tool to interact with Kubernetes clusters. It allows managing resources, deploying applications, and inspecting cluster state.

🔹 Architecture:

Kubernetes uses a master-worker architecture:

Master components manage the cluster state.

Worker nodes run containerized applications.

This design ensures high availability, scalability, and self-healing.

🔹 Hands-on setup:

Today I set up my first cluster using Kind (Kubernetes IN Docker)—a lightweight, developer-friendly alternative to Minikube for local clusters.

💡 Tip for beginners: Understanding the architecture and orchestration concepts is more important than just running commands. Once you grasp this, everything else becomes easier.

Looking forward to diving deeper into Pods, Deployments, Job, and real Kubernetes projects in the coming days!

Kubernetes #K8s #DevOps #CloudEngineering #Microservices #LearningJourney #Day1

🚀 Starting My Kubernetes Journey

dev Saini — Mon, 08 Sep 2025 09:50:54 +0000

✨ Exciting Update ✨

I’ve completed the basics of Jenkins — from user management, agents, shared libraries, pipelines, webhook, Credentials, and freestyle projects. Yesterday, I even deployed my project using Jenkins 🚀.

For now, I’ll pause my Jenkins deep dive and shift my focus to Kubernetes, where I’ll be starting my hands-on journey and sharing daily learning updates here.

Once I gain good command over Kubernetes, I’ll go deeper into Jenkins if needed, or later explore GitLab. Step by step, building a strong DevOps foundation 💡

3 Tier appilcation -Day 4

dev Saini — Sun, 07 Sep 2025 12:02:46 +0000

🚀 Deploying My 3-Tier Application on AWS ECS!

Over the past few days, I’ve been working on deploying a 3-tier application using AWS ECS, Docker, Terraform, and Jenkins.

✅ What I achieved:

Automated cluster creation using Jenkins pipelines.

Containerized frontend and backend with Docker.

Infrastructure as code using Terraform.

💡 Current Challenge:

I’m currently refining environment variable management between frontend and backend. To securely handle sensitive data, I’m exploring AWS Secrets Manager.

🔗 Next Steps:

Integrate Secrets Manager to manage credentials and environment variables.

Ensure smooth communication between frontend and backend services.

This project has been a great learning experience in CI/CD, container orchestration, and secure DevOps practices. Excited to share the complete deployment story soon!

📂 Want to see my pipeline?

I’ve uploaded the Jenkinsfile on GitHub here 👉 [GitHub Link]

https://github.com/DEVKUMARSAINI545/3TierApplicationDeploy/tree/main

DevOps #AWS #ECS #Terraform #Docker #Jenkins #3TierApplication #LearningByDoing

🚀 3-Tier Application Deployment Challenge – Day 3 Progress!

dev Saini — Thu, 04 Sep 2025 17:40:47 +0000

Excited to share my progress on deploying a 3-tier application on AWS using Terraform!

✅ Frontend Infrastructure:

Created ECR repository for frontend Docker image

Deployed ECS service using Fargate

Configured Application Load Balancer (ALB) for traffic routing

Enabled CloudWatch Logs for monitoring

💡Tomorrow I will implement CI/CD to achieve continuous deployment . Backend Infrastructure is next on my list — a lot of work ahead! Today’s focus was getting the frontend up and running, and I’m happy to see it working end-to-end.

Next step: I’ll be automating deployment using Jenkins and then moving to backend & database integration.

This hands-on project is helping me strengthen my cloud, containerization, and DevOps skills every day.

GitHub Link: https://github.com/DEVKUMARSAINI545/3TierApplicationDeploy/tree/main

AWS #Terraform #ECS #Docker #DevOps #Cloud #InfrastructureAsCode #CI/CD #LearningByDoing #FrontendDeployment

Python for devops Day 1

dev Saini — Tue, 02 Sep 2025 13:30:55 +0000

🚀 Learning Progress Update

Today, I decided to take a short break from my 3-Tier Application Project Challenge and focus on strengthening my Python fundamentals.

Here’s what I explored and completed today:

✅ What is Python & how to install it

✅ Basics of loops, conditions, and functions

✅ Wrote a simple backup script in Python

✅ Explored the boto3 library – AWS SDK for Python

Learned how to install boto3

Understood that boto3 functions only work after configuring AWS credentials (Access Key & Secret Key)

Tried listing existing S3 buckets in AWS using Python

This small shift helped me understand how Python can be a powerful tool for DevOps automation and how it directly connects with AWS services.

Excited to dive deeper into Python scripting + AWS in the coming days! 💻☁️

Github Link: https://github.com/DEVKUMARSAINI545/python-for-devops

Python #AWS #Boto3 #DevOps #LearningJourney #CloudComputing

🚀 Learning Progress – 3-Tier Application Project

dev Saini — Mon, 01 Sep 2025 12:22:45 +0000

Today, I made solid progress on my 3-Tier Application project using multiple DevOps & Cloud tools.

This project is pushing me to think beyond just writing code — especially while deploying a containerized backend.

These challenges are teaching me how production scenarios differ from local setups.

🔧 Tech Stack Used:

Terraform → Infrastructure provisioning (S3, CloudFront, networking)

Docker & Docker Compose → Containerization & multi-service setup

Backend Dockerized → Pushed to ECR → Deployed on ECS with ALB

Postman → API testing & validation

🎯 Key Learnings:

Understanding CI/CD vs Local environment differences

Writing infrastructure code with Terraform for real-world scenarios

Deploying backend containers on ECS and connecting via ALB

Preparing the foundation of a complete 3-Tier Application (Frontend + Backend + Database)

🔜 Next Steps:

⚡ CI/CD integration (Jenkins)

⚡ Deployment automation

⚡ Adding monitoring and scalability

Check it out here: https://github.com/DEVKUMARSAINI545/3TierApplicationDeploy

I’m truly enjoying this journey of becoming a Cloud/DevOps Engineer 🙌

DevOps #CloudEngineering #Terraform #Docker #AWS #ECS #ALB #ECR #CI/CD #LearningInPublic

3 Tier Application Deployment

dev Saini — Sat, 30 Aug 2025 16:25:06 +0000

🚀 Today, I completed the basics of Jenkins CI/CD and I’m excited to take the next step!
I’ll now be working on a major project that will bring together multiple skills I’ve been learning:
🔹 Linux & Shell Scripting
🔹 Docker
🔹 Terraform (IaC)
🔹 AWS Cloud
🔹 Jenkins (CI/CD Pipeline)
🔹 Monitoring & Alerting
The goal is to design and implement a complete end-to-end DevOps project that demonstrates automation, scalability, and reliability.
I’ll be sharing my progress and the final project on GitHub and here on LinkedIn soon. 💻✨

Earlier, I built a 3-Tier E-Commerce Application (MERN Stack). Now, I’m working on deploying it using DevOps practices to simulate a real-world production setup.
🔹 Application – MERN Stack (Frontend, Backend, Database)
🔹 Infrastructure & Automation – Linux, Shell Scripting, Docker, Terraform, AWS
🔹 CI/CD – Jenkins pipelines for automated builds & deployments
🔹 Monitoring & Alerts – to track performance and ensure reliability**
**

Two Tier Application

dev Saini — Mon, 25 Aug 2025 10:58:03 +0000

🌟 Achievement Unlocked! - Day 3 🌟
Today, I successfully completed my Two-Tier Flask Application project with:

✅ Automated Deployment: EC2 provisioning, Docker installation, and app startup all automated.
✅ Multi-Container Architecture: Separate containers for Flask frontend and MySQL backend.

✅ Infrastructure as Code: Terraform used to manage AWS resources.

✅ Secure State Management: Terraform state stored in S3 and locked using DynamoDB to prevent concurrent modifications.

✅ Continuous Integration & Deployment (CI/CD): Jenkins pipeline automates cloning, infrastructure provisioning, and application deployment.
Tech Stack: Flask, MySQL, Docker, Docker Compose, Terraform, AWS EC2, Jenkins, Linux Shell.

This project gave me hands-on experience in automating infrastructure, containerizing applications, and implementing end-to-end CI/CD.
Excited to keep building more cloud and DevOps projects! 🚀
hashtag#CloudComputing hashtag#DevOps hashtag#Terraform hashtag#Docker hashtag#DockerCompose hashtag#CI_CD hashtag#Linux hashtag#AWS hashtag#LearningJourney

GitHub link: https://lnkd.in/dv2kvtBd

Excited to start my Jenkins CI/CD journey! 💻 I already have experience with Linux, Shell, Docker, and Terraform, and now I’m leveling up into DevOps. I’ll be learning Jenkins over the next 4 weeks and sharing weekly updates—tips, projects, and progress.

dev Saini — Fri, 22 Aug 2025 07:59:39 +0000