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Microservices architecture has become one of the most popular ways to build scalable, modern, cloud-native applications. Instead of developing one large and tightly coupled system, microservices allow teams to build multiple small, independent services that work together. This approach improves scalability, boosts development speed, and supports continuous delivery. What Are Microservices? Microservices is an architectural style where an application is split into a collection of small, loosely coupled services. Each service is responsible for a single business capability and can be developed, deployed, and scaled independently . Microservices promote polyglot development . For example: One service may use Java + Spring Boot + MySQL . Another may use Node.js + MongoDB . Yet another may run Python or Go . As long as they communicate through well-defined APIs—usually REST, gRPC, or messaging—they can use different languages, frameworks, and databases. Why Move from ...

Amazon API Gateway acts as a single entry point for all your backend services, making it easier to create, manage, secure, and monitor APIs at scale. This beginner-friendly post explains what API Gateway is, why it’s needed, and how it works using a simple demo. What is AWS API Gateway? Amazon API Gateway is a fully managed AWS service that lets you create, publish, maintain, monitor, and secure REST, HTTP, and WebSocket APIs . It works as a “front door” for applications to access data and business logic running on: AWS Lambda EC2 or on-prem servers Containers (ECS/EKS) AWS services like DynamoDB, SQS, Step Functions Even external APIs outside AWS API Gateway handles routing, request validation, throttling, authentication, performance optimization, and monitoring so you don’t have to build these features manually. Why Do We Need an API Gateway? Without an API Gateway, every client (web, mobile, third-party apps) must talk directly to multiple backen...

AWS Command Line Interface (AWS CLI) is a powerful tool that allows developers and DevOps engineers to manage AWS services directly from the terminal. Instead of relying on the AWS Management Console, you can perform tasks faster and automate them using simple commands. What Is AWS CLI? AWS Command Line Interface (AWS CLI) is a unified tool used to interact with AWS services using terminal commands. It allows you to manage resources like EC2, S3, IAM, Lambda, and more without opening the browser. Manage AWS resources efficiently Automate operations using scripts Avoid human errors from console usage Handle large workloads (like thousands of S3 files) Why AWS CLI Matters Relying only on the AWS Console becomes slow and difficult when handling: Multiple environments (dev, stage, prod) Large-scale S3 operations Repetitive tasks like uploads, backups, cleanups AWS CLI solves these issues by enabling tasks to be completed with a single command or thr...

AWS Lambda is a fully serverless compute service that lets you run code without provisioning or managing servers. You are billed only for the time your function actually runs—unlike EC2, where you pay even when the server is idle. Lambda automatically scales, executes only when triggered, and shuts down after execution. What AWS Lambda Does Runs small pieces of code called functions written in Java, Python, Node.js, Ruby, and more. No server, OS, CPU, RAM, or patching management—AWS handles everything. Billed only per invocation and execution time. Ideal for event-driven, bursty, or low-traffic workloads. How AWS Lambda is Triggered A Lambda function does nothing until a trigger fires. Common triggers include: S3 — Run code when files are uploaded or deleted (e.g., image resizing). SQS / SNS — Process messages as they arrive. API Gateway — Build serverless REST APIs where each HTTP call invokes Lambda. EventBridge / CloudWatch — Cron jobs...

Connecting a Spring Boot application to AWS RDS MySQL is almost identical to using a local MySQL instance. Only the datasource URL, username, and password change—your Spring Boot, JPA, Hibernate, and repository code remain the same. Step 1: Local MySQL Setup with Spring Boot Create a Spring Boot project from Spring Initializr with: Spring Web Spring Data JPA MySQL Driver Below is an example Product entity : package com.example.demo.entity; import jakarta.persistence.*; @Entity public class Product { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; private String name; private double price; // getters and setters } Product JPA Repository: package com.example.demo.repository; import com.example.demo.entity.Product; import org.springframework.data.jpa.repository.JpaRepository; public interface ProductRepository extends JpaRepository { } Product REST Controller: package com.example.demo.contr...

A relational database stores data in tables with rows and columns . Example: a products table with columns like id, name, description, price, and stock. These tables can be related using keys. Popular relational databases include MySQL, PostgreSQL, Oracle, MariaDB, and SQL Server. When deploying applications (for example on EC2), they typically need one of these relational databases to store application data. What is AWS RDS? Amazon RDS (Relational Database Service) is a managed database service that allows you to create, operate, and scale relational databases without managing the underlying servers. RDS automatically handles: Provisioning Backups Patching Monitoring Supported engines: Amazon Aurora (MySQL/PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle Microsoft SQL Server IBM Db2 You connect to RDS databases using normal CLI tools or JDBC URLs. Create an RDS MySQL Database (Free Tier) Open the RDS Console → Clic...

When running a Spring Boot application on AWS EC2 , the most common security mistake is hardcoding AWS access keys inside application.properties . This is unnecessary and risky. AWS already provides a secure mechanism: IAM Roles attached to EC2 . In this blog, you will learn how to upload and download files to Amazon S3 from Spring Boot running on EC2 without any access keys , using: Spring Profiles AWS SDK v2 Instance Metadata Service (IMDS) IAM Roles Why Access Keys Are a Bad Idea on EC2 Typical S3 setups use: Access key Secret key Region Bucket This works only for local development. It should NOT be used on EC2. Problems with access keys: Stored in config or code (high risk) Might leak through Git, logs, or screenshots Require manual rotation Not needed if app runs on EC2 AWS automatically manages temporary credentials using the EC2 Instance Profile (IAM Role) . Architecture: EC2 → IAM Role → S3 Spring Boot app r...

Deploying a Spring Boot application on AWS EC2 is one of the easiest ways to host your Java backend in the cloud. In this guide, you will build a JAR file, copy it to an EC2 instance, install Java, run the app, expose port 8080, and keep the application running in the background using nohup . Overview of the Deployment Flow A Spring Boot REST API runs locally on port 8080 An EC2 instance (Amazon Linux, t2.micro) runs in AWS You build a JAR from the Spring Boot project You SSH into EC2 and copy the JAR You install Java 17 and run the JAR file You open port 8080 in the security group After deployment, anyone can access your API using the instance's public IP or DNS . Step 1: Create & Test a Simple Spring Boot App Start with Spring Initializr: Maven project Java 17 Packaging: JAR Dependency: Spring Web Create a simple REST API: @RestController public class HelloController { @GetMapping("/hello") public Str...

Amazon EC2 (Elastic Compute Cloud) is one of the most popular AWS services that provides virtual servers (called instances ) in the cloud. You can launch Linux or Windows machines on demand, deploy your applications, and pay only for the compute power you use. What is EC2? EC2 is a cloud service that lets you create and manage virtual servers. These servers come with CPU, RAM, storage, and networking capabilities like a physical machine, but without owning any hardware. You can launch, scale, or delete instances within seconds. AWS even provides free-tier eligible instances (like t2.micro or t3.micro ) for the first 12 months, making it perfect for beginners. Why use EC2 instead of physical servers? No hardware purchase or maintenance Launch servers in minutes Scale up or down instantly Pay only while the instance is running Highly reliable and secure AWS infrastructure Key EC2 Concepts: AMI, Instance Type, Key Pair, Security Group 1. AMI (Amazon Mach...

Connecting a Spring Boot application to Amazon S3 is one of the most common real-world backend requirements. Whether you want to store images, documents, logs, or app data, S3 provides secure, scalable, and durable object storage. In this tutorial, you’ll learn how to integrate Spring Boot with AWS S3 using AWS SDK v2 to build clean and reliable upload/download APIs. High-Level Architecture The overall workflow is simple: Your Spring Boot application runs locally or on a server. The app uses AWS SDK v2 to create an S3Client . The S3Client connects to your S3 bucket using AWS credentials. REST APIs handle upload and download requests and interact with S3 internally. This setup works for local development, on-prem servers, and cloud deployments. Step 1: Create a Spring Boot Project Create a new project using Spring Initializr: Project: Maven Language: Java Spring Boot: 3.x+ Dependencies: Spring Web Java Version: 17+ Import the project ...

Amazon S3 (Simple Storage Service) is one of the most important and widely used AWS services. It is a highly scalable, durable, and secure object storage service where you can store any type of file—images, videos, PDFs, logs, backups, or application data. Whether you're building a web application, mobile backend, analytics pipeline, or simply need cloud storage, S3 is often the first service developers work with. What is Amazon S3? Amazon S3 is an object storage service , which means data is stored as objects inside containers called buckets . Unlike traditional file systems, S3 is designed for: High durability (99.999999999%) High scalability Global availability It is ideal for storing: Images, videos, and documents Application uploads Static website assets Logs and analytics data Backups and archives S3 is accessible from anywhere over the internet or directly from AWS applications and services. Key Concepts: Bucket, Object, Key, Regi...

AWS Identity and Access Management (IAM) is the backbone of AWS security. It allows you to control who can access your AWS resources and what actions they can perform. IAM is a global service , meaning it protects your entire AWS account regardless of region. This guide covers IAM concepts such as users, groups, roles, policies, access keys, and Identity Center — with real-world analogies and Spring Boot examples. What is AWS IAM? AWS Identity and Access Management (IAM) is a centralized service that controls access to AWS resources like EC2, S3, Lambda, DynamoDB, and more. IAM defines: Who can access AWS What they can do Which services they can use IAM is essential before deploying any production workload. Real-World Analogy of IAM Imagine a company where employees receive access cards, computer accounts, and tool permissions. The security team decides who gets access to rooms, tools, and systems. IAM works exactly like that, but in the cloud. Instead of ph...