AWS

This page curates practical guides to essential AWS services and Spring Boot integrations, perfect for backend developers building cloud-native applications. It covers core concepts like IAM for secure access, S3 for scalable storage, EC2 for compute, RDS for managed databases, and Lambda for serverless execution—plus hands-on tutorials for deployment and file handling. Use these resources to deploy production-ready microservices securely and efficiently.

  1. AWS Identity and Access Management Explained
  2. AWS Simple Storage Service Explained
  3. Spring Boot + AWS S3: Upload and Download Files
  4. AWS EC2 - Elastic Compute Cloud Explained
  5. Deploy Spring Boot Application on AWS EC2 (Step-by-Step)
  6. Spring Boot on AWS EC2: Upload to S3 Securely Using IAM Role
  7. AWS RDS Tutorial for Beginners: Launch MySQL and Connect from Terminal
  8. Spring Boot + AWS RDS MySQL: Connect Your App to Cloud DB
  9. AWS Lambda Explained with a Simple Java Example
  10. AWS CLI Tutorial: Installation, Configuration & Hands-on Commands
  11. Introduction to API Gateway

Comments

Post a Comment

Popular posts from this blog

Spring Boot on AWS EC2: Upload to S3 Securely Using IAM Role

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...
Read more

Java Streams Intermediate Operations Explained with Examples

Image
The Java Stream API lets you process collections in a fluent, declarative style. In this post, we’ll walk through the most useful intermediate operations with simple examples. Note: Examples below use Java 8 compatible collect(Collectors.toList()) . If you’re on Java 16+, you can replace it with toList() . 1) filter() — Select elements by a condition Keeps only elements that match the predicate. List<Integer> list = Arrays.asList(1,2,3,4,5,6,7,8,9,10); List<Integer> res = list.stream() .filter(num -> num % 2 != 0) // keep only odd numbers .collect(Collectors.toList()); System.out.println(res); // [1, 3, 5, 7, 9] 2) map() — Transform each element Applies a function to every element and returns a stream of results. List<String> strs = Arrays.asList("rama", "anjaneya", "krishna"); List<String> upper = strs.stream() .map(String::toUpperCase) .collect(Collectors.toList()); System.o...
Read more

ConcurrentHashMap vs Synchronized HashMap in Java

Image
Introduction In multi-threaded Java applications, managing shared data safely and efficiently is crucial. Two common approaches are using Synchronized HashMap (via Collections.synchronizedMap(...) ) and ConcurrentHashMap . While both aim to provide thread-safety, their implementations and performance characteristics differ significantly. This post explores these differences in detail. What is a Synchronized HashMap? Created by wrapping a regular HashMap using: Map<K, V> syncMap = Collections.synchronizedMap(new HashMap<>()); Enforces synchronization at the object level , meaning only one thread can access the map at any time (read or write). Supports null keys and values since it relies on HashMap behavior. Iterators are fail-fast , throwing ConcurrentModificationException if the map is modified while iterating. Simpler implementation, suitable when concurrency is low or performance is not cri...
Read more