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Showing posts with the label Distributed Systems.Software Architecture

Kubernetes & Amazon EKS Explained: A Beginner's Guide

Backend Deep-Dive · Beginner Friendly ~16 min read · Updated for 2026 · No prior experience required If the words Kubernetes and EKS have always felt like a wall of jargon, this is the guide that finally makes them click. We start from absolute zero — what a container even is — and build up, one idea at a time, until you can follow a single user request all the way through a real Amazon EKS cluster and back. Plain English, simple analogies, and a clear mental model instead of a pile of commands. Prefer to read? Everything in the video is written out below. Skim the table of contents and jump to whatever you need. TL;DR — the whole idea in six lines Containers pack your app and its environment together so it runs the same everywhere. Kubernetes is a manager that runs, heals, scales, and connects hundreds of containers for you. Every cluster has a Control Plane (the brain) and Worke...

Top Backend Anti-Patterns That Kill Scalability

Scalability issues usually do not appear on day one. Most backend systems work perfectly fine with low traffic. The problems start  when users increase and data grows . In many cases, the system fails not because of traffic, but because of  bad backend design decisions made early . These decisions are called  anti-patterns . In this article, we will cover the  most common backend anti-patterns  that silently break scalability, explained in simple language with clear reasoning. Before starting interview preparation, it’s important to follow a structured  Java backend developer roadmap  so you don’t miss core fundamentals. Java Backend Developer Roadmap 2026 1. Turning Microservices Into a Distributed Monolith What Goes Wrong Teams break a monolithic application into multiple services and call it “microservices”. However: All services share the same database Services cannot be deployed independently One service failure affects others This is not real mic...