System Design: Understanding Full Stack Connections

🚀 Exciting update from the cloud ecosystem! Google Cloud has introduced a new Java SDK for the MCP Toolbox for Databases, making it easier for developers to integrate and manage database workflows efficiently. This is another step toward simplifying backend development and improving developer productivity. Tools like this reduce boilerplate code and help teams focus more on business logic rather than infrastructure. 💡 As a frontend developer, it's always interesting to see how backend tooling evolves — because better backend tools = smoother integrations for us. Curious to see how this will impact modern application architectures and microservices going forward. #GoogleCloud #Java #BackendDevelopment #CloudComputing #SoftwareEngineering #DevTools

🚀 Deployed a Full-Stack MERN Application on AWS I recently completed a hands-on project where I built and deployed a Recipe Generator application using a real-world cloud architecture. 💡 What I implemented: • Frontend deployed on Amazon S3 (static hosting) • Backend hosted on Amazon EC2 • Reverse proxy configured using Nginx • Backend process managed using PM2 • MongoDB Atlas for cloud database ⚙️ Tech Stack: React, Node.js, Express, MongoDB, AWS (EC2 + S3) 📄 Detailed deployment steps and architecture are included in the attached PDF. This project helped me understand real-world deployment, scalability, and cloud-based architecture. 🔒 Live demo currently offline (infrastructure removed to optimize cost), but I can walk through the project if needed. #FullStackDeveloper #MERN #AWS #CloudComputing #DevOps #WebDevelopment

Using Azure Application Insights is the most important steps in the Moden Application's post deployment Management on Azure. Sometimes, Creation of the Custom Dashboard for the Azure Application Insights and Monitoring is needed. I have published an article on "Building an Azure Application Insights Dashboard with ASP.NET Core 8 API & React 18.". This article can be read from the following Link: https://lnkd.in/d7492XJ6 #MVPBuzz #mvpbuzz #azure #aspnetcore #reactjs #dotnetcore #aspnetcoreapi #azureappinsights Vikram Pendse ヴィクラム ペンセ Suprotim Agarwal Sachin Nimbalkar Sachin Shukre Sagar Joshi Vaibhav Ghodake Deepak Purandare Deepti Bhawarthi Veeraj Thaploo Vaibhav Bora Mahesh Mitkari Mayur Tendulkar Vikram Bapat

Do you know you can deploy a full-stack application without stitching together multiple cloud services? Many developers assume they need separate setups for compute, storage, networking, SSL, and databases just to get an app live. That approach works, but it also adds complexity, especially for small projects. There’s a simpler alternative: AWS Lightsail Lightsail allows you to run your entire application stack from a single place. Here’s what that looks like in practice: - A user opens your domain - Your frontend (React or Next.js) is served from a Lightsail instance - The frontend makes API calls to your backend (Node.js, Django, or Laravel) running on the same instance - The backend processes the request and communicates with a managed database (MySQL or PostgreSQL) - The response is returned to the user All of this happens within one platform. Why this matters: - Faster deployment without deep cloud setup - Reduced operational overhead - Built-in features like static IP, SSL certificates, firewall rules, and snapshots When should you consider it? - Portfolio projects - MVPs or early-stage products - Situations where speed and simplicity matter more than fine-grained control When not to use it: - Systems that require auto-scaling, high availability across regions, or complex microservices The goal is not to replace advanced cloud architecture. It’s to choose the right level of complexity for your use case. #SystemDesign #AWS #CloudComputing #BackendEngineering #DevOps #FullStack

Why I stopped babysitting servers and started focusing on logic. In my traditional ASP.NET setups, I used to spend a lot of time thinking about the "Server." Is it patched? Is it sitting idle and wasting money? Will it handle a sudden traffic spike at 3 AM? Moving to AWS Lambda was the "Aha!" moment in my cloud journey. It's not just a tool; it's a total shift in how I build and scale web applications. Here's why Serverless Compute is a game-changer for my workflow: 1/ No More "Paying for Air" In a traditional setup, you pay for the server 24/7, even when it's doing nothing. With Lambda, if your code isn't running, you aren't paying. It's the ultimate move for cost efficiency. 2/ Scalability is "Hands-Off" Whether my React frontend hits the API 10 times or 10,000 times, Lambda handles the execution. I no longer have to manually manage load balancers for basic scaling. 3/ Decoupled, Modular Logic It forces you to write cleaner, "event-driven" code. Instead of one giant monolith, I build small, purpose-driven functions that are easier to debug and maintain. 4/ The Connector of the Cloud Lambda acts as the perfect "glue." It can trigger when a file hits S3, when a message enters a queue, or via an API Gateway request. Modern engineering is moving away from managing infrastructure and toward delivering value. Serverless allows me to do exactly that. #AWS #Serverless #Lambda #CloudComputing #FullStack #SoftwareEngineering #DotNet #React #SystemsDesign

🚀 From Zero to Cloud: Deploying a Scalable Spare Parts Catalog Application on AWS I’m excited to share my recent hands-on project where I designed and deployed a cloud-based Spare Parts Catalog Management System using AWS. 🔧 What this project does: A web application that allows users to manage spare parts data like name, number, price, and quantity through a simple interface. ☁️ AWS Services Used: • EC2 – Hosting frontend & backend • Application Load Balancer (ALB) – Traffic distribution • Amazon RDS (MySQL) – Secure database • VPC – Custom networking setup • Public & Private Subnets – Isolation • Security Groups – Access control • Internet Gateway & NAT Gateway – Connectivity 🏗️ Architecture Highlights: • 3-Tier Architecture (Frontend, Backend, Database) • Backend built with Node.js & Express • Database deployed in private subnet for security • ALB ensures scalability and high availability 📚 What I Learned: • Real-world AWS architecture design • Networking (VPC, subnets, routing) • Security best practices • Deploying and connecting full-stack applications This project gave me strong practical exposure to cloud infrastructure and DevOps fundamentals. 💬 I’d love your feedback and suggestions! #AWS #CloudComputing #DevOps #EC2 #RDS #ALB #VPC #NodeJS #LearningJourney #Projects #CloudArchitecture

Recently, I added a blog section to my portfolio and published my first post. The idea came from an interesting question I was asked in an interview: “You started with a single MVC app deployed on EC2 with RDS. Now the system is getting millions of users. How would you scale it?” I really liked this question because it is not just about naming tools or jumping straight to microservices. It tests how you think about bottlenecks, trade-offs, infrastructure, databases, caching, background jobs, and scaling step by step. So I wrote a practical breakdown of how I would approach it, starting from a simple MVC architecture and gradually evolving each layer as traffic grows. Read it here: https://lnkd.in/djQUXmUm #SoftwareEngineering #SystemDesign #ScalableSystems #BackendEngineering #FullStackDevelopment #WebDevelopment #EngineeringInterviews #LearnInPublic #BuildInPublic #DevCommunity #AWS #RubyOnRails #NodeJS

🚀 Finally taking my project live! Over the last few weeks, I’ve been building KhataBook — a full-stack application designed to help small businesses track customer transactions, manage party loans, and streamline their daily accounting. Today, I successfully deployed the entire application to the cloud! ☁️ 🛠️ The Tech Stack: Frontend: Flutter Web (Responsive UI with Dark Mode support) Backend: Java Spring Boot (RESTful API) Database: MySQL Deployment: AWS EC2 & Amazon RDS One of the coolest parts of the deployment was embedding the compiled Flutter web build directly inside the Spring Boot JAR, creating a clean, single-artifact deployment pipeline to my EC2 instance! I also set up customized Bash scripts to safely manage the background Java processes on the server. 🌐 Check it out live: https://lnkd.in/gM5XfQEi (Note: Feel free to create a test account and play around!) 💻 Source Code: https://lnkd.in/gjhHU8ej Huge thanks to everyone who helped me along the way. Next up: building out more reporting analytics! #Java #SpringBoot #Flutter #AWS #EC2 #SoftwareEngineering #FullStackDevelopment #WebDevelopment

Scalable, Containerized, and Managed: A Blueprint for Modern Web & Mobile Apps. I’m sharing a high-level architecture I’ve been refining for enterprise grade applications on Google Cloud Platform (GCP). The goal here is to balance high availability with operational simplicity. Key highlights of this stack: Compute: Leveraging Cloud Run for the Spring Boot backend to achieve effortless scaling and cost-efficiency, while keeping GKE as an option for more complex orchestration. Storage & State: A robust data layer using Cloud SQL (PostgreSQL) for persistence and Memorystore (Redis) for low-latency session management. Security: Centralizing Auth and Rate Limiting at the API Gateway layer to protect the downstream microservices. Delivery: A seamless CI/CD flow from GitHub to Artifact Registry via Cloud Build. I’d love to hear from my fellow architects and DevOps engineers: Would you prefer Apigee or Cloud Endpoints for the Gateway in this specific flow? At what scale would you swap Cloud Run for a full GKE cluster? Feedback is welcome! 👇 #GCP #CloudArchitecture #EnterpriseArchitect #SpringBoot #SystemDesign #GoogleCloud #DevOps #DevSecOps #Java #React #Firebase #GKE

Deploy Apps Without Managing Servers – AWS Elastic Beanstalk AWS Elastic Beanstalk is a Platform as a Service (PaaS) offered by Amazon Web Services that makes it super easy to deploy, manage, and scale web applications without worrying about infrastructure. Elastic Beanstalk is a fully managed service that streamlines the deployment, management, and scaling of web applications. Developers can upload their code, and Elastic Beanstalk automatically handles the provisioning of infrastructure, scaling, load balancing, and application health monitoring. It supports various programming languages and frameworks, such as Java, .NET, Python, Node.js, Docker, and more. It provides full control over the underlying AWS resources while automating many operational tasks. Think of Elastic Beanstalk like this: 👉 You just upload your code… and AWS handles everything else. - It automatically manages: - Servers (EC2 instances) - Load balancing - Auto scaling - Application health monitoring ⚙️ How It Works 1. You upload your code (ZIP / Git / CLI) 2. Elastic Beanstalk: > Creates infrastructure > Deploys your app > Monitors performance 3. You get a live application URL 🎉 Elastic Beanstalk vs EC2 (Very Easy) Elastic Beanstalk 👉 “Do everything for me” EC2 👉 “I’ll manage everything myself” #AWS #ElasticBeanstalk #DevOps #CloudComputing