Different strategies for reducing I/O overhead in IO heavy environment — In our previous post, we introduced & discussed different strategies for reducing I/O overhead in IO heavy environment. In this post, we will take a deeper look at the thread-based asynchronous programming approach. What is Thread-Based Asynchronous Programming? The thread-based asynchronous programming approach, allows one thread pool to hand over a task to another thread…

The problem with different flows of code execution and how we can solve with it. — In our previous post, we looked at different flows of code executions and introduce the synchronous and asynchronous nature of programming. In this article, we will understand the problem we can solve with it. Many times, our programs are written like this: System.out.println("Enter value"); // waiting for input from keyboard Scanner sc…

This will be a four-part blog series to understand how threading works and get some insights on knowledge of performing concurrent programming using different principles. In this blog, we will first understand how code is executed in single-threaded and multi-threaded environments. Sequential Execution Single-Threaded The first model we will look into is a…

To understand why we need HTTP/3, let’s take some time and first understand some basic network terminologies and then how the internet as a whole over HTTP protocol evolved throughout the period of time Over the wire, it’s Internet Packets which got transmitted. …

In order to deploy our application, we can use the actual physical machines but the problem with that one application can interfere with another one’s and can cause downtime, resource starvation, security issues for another microservice running on the same machine. In order to overcome this problem, we can create…

Let’s start by taking an example : We have 2 programs for printing odd numbers to the console. The difference between these programming paradigms is the nature of how we read and write code. These two paradigms are Imperative and Declarative. Imperative : Imperative code means code that…

How does git store the information? At its core, git is like a key-value store. Here key refers to the hash of the data or content that is going to be stored and value refers to the actual content The hash key generated by git on giving a piece of data uses a SHA1 hash function…