Java Spring Boot 1M req/sec
How I Optimized a Spring Boot Application to Handle 1M Requests/Second Scaling a Spring Boot application to handle 1 million requests per second might sound like an impossible feat, but…
How I Optimized a Spring Boot Application to Handle 1M Requests/Second Scaling a Spring Boot application to handle 1 million requests per second might sound like an impossible feat, but…
Java Fundamentals: Inside the main() Method The lifecycle of a Class Execution in Java What Happens When We run a Java class with a main the JVM performs several critical steps, from…
Can Constructors Be final or static in Java? It's a common question, especially among beginners learning object-oriented programming. Short answer? Constructors cannot be final… If you've worked with Java for…
Stop Writing Your Own Code — Use These Java Libraries Instead In this article, we'll show you 15 things you should stop building from scratch — and which modern Java tools and libraries to…
Step 1: Use the Latest LTS Version Before diving into features, make sure you’re using a modern Java version. ✅ Recommendation: Use Java 17 or Java 21 (both are Long-Term Support versions). Why? Because these…
1. Java 8 Features & Functional Programming This is the hottest topic on Java interviews currently and I have increasingly see interviewer looking for candidates who knows how to write…
Arrays:int[] arr = new int[size];int[] numbers = {1, 2, 3, 4, 5};int[][] matrix = {{1, 2, 3},{4, 5, 6},{7, 8, 9}};for( int num : nums).length Strings:.toCharArray() Hashmap: Map<Character, Integer> count…
Hello friends, in the last 6 months, I have attended more than 50 Java interviews across different companies, ranging from startups to large enterprises like investment banks like UBS, Citi,…
Here are 10 coding best practices that have helped me write better Java code— and how you can apply them in your projects. 1. Avoid Null References Using Optional Problem: NullPointerException is one…
1. Key Concepts Thread: A lightweight process with its own execution path. Concurrency: Multiple tasks making progress within the same time frame. Parallelism: Tasks running simultaneously on multiple processors. 2.…