Understanding Concurrency vs. Parallelism: The Definitive Guide

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In software engineering and computer science, concurrency and parallelism are two of the most frequently confused concepts. Developers often use them interchangeably, but they describe fundamentally different aspects of system architecture and execution. Understanding this distinction is key to writing scalable, efficient, and responsive applications. Defination Concurrency where multiple tasks execute within the same time … Read full article: Understanding Concurrency vs. Parallelism: The Definitive Guide

Inside CPython’s Memory Allocator: Arenas, Pools, and Blocks

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CPython ships its own specialised memory manager called pymalloc, which sits between the Python interpreter and the C-level malloc(). Pymalloc organises memory into a three-level hierarchy: Arena, Pool and Block Introduction Every time you create a small Python object — an integer, a short string, a tuple, a small dictionary — CPython has to find … Read full article: Inside CPython’s Memory Allocator: Arenas, Pools, and Blocks

Context Managers: The Cleanup Problem

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Context managers in Python are constructs that allow you to properly manage resources, ensuring that they are acquired and released correctly. They are primarily used with the with statement to handle resources like file handling, database connections, threading locks, etc. The Issue Every resource you open — a file, a database connection, a network socket, … Read full article: Context Managers: The Cleanup Problem

Sharding

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How to split a database across machines — the trade-offs, the strategies, and the failure modes that trip up real systems at scale. What sharding is A single database node has hard physical ceilings: disk capacity, RAM, CPU cycles, and write throughput are all finite. For most applications, this is fine for years. But at … Read full article: Sharding

Vertical vs Horizontal Scaling: A Complete Guide for System Designers

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Every system hits a wall eventually. Requests pile up, latency climbs, and the database starts sweating. At that moment, every engineer faces the same fork in the road: do we make the machine bigger, or do we add more machines? That choice — vertical scaling versus horizontal scaling — is one of the most consequential … Read full article: Vertical vs Horizontal Scaling: A Complete Guide for System Designers

Demystifying HyperLogLog: How to Count Billions of Things in Kilobytes of Memory

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Imagine you are running a rapidly growing website like backendmesh.com. One morning, a post goes viral. Traffic skyrockets. Millions of clicks are pouring in, and your boss asks a simple question: “How many unique visitors did we get today?” Introduction In the early days of the web, this was an easy question to answer. You … Read full article: Demystifying HyperLogLog: How to Count Billions of Things in Kilobytes of Memory

The Dual Write Problem: A Comprehensive Guide

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The dual write problem is one of the most fundamental and tricky challenges in distributed systems engineering. It arises whenever a system needs to write data to two or more independent data stores (or systems) atomically, and the inherent impossibility of doing so reliably without careful design. Introduction As applications evolve from monolithic architectures to … Read full article: The Dual Write Problem: A Comprehensive Guide

Redis Complete Production Guide

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Redis (Remote Dictionary Server) is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine. What is Redis? Redis (Remote Dictionary Server) is an open-source, in-memory data store used as a database, cache, message broker, and queue. It stores everything in RAM, which is why operations are blazing fast … Read full article: Redis Complete Production Guide