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DVDevansh Vermabackendblueprints.hashnode.dev3d ago · 7 min read

How consistent hashing works and helps in rebalancing shards in a SQL DB.

The problem consistent hashing solves Say you shard your users table across 4 database nodes /shards using a hash function -> hash(user_id) % 4. This works fine — until you add a 5th node. Now % 4 bec

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FAFaizan Alimadprogrammer1.hashnode.devJul 8 · 20 min read

Performance vs Scalability: Understanding the Difference

Code to Scale — Part 2 "Our application is fast." That's great. But can it handle 100× more users tomorrow? This is one of the most common misconceptions in software engineering. Developers often use

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DKDamir Karimovblog.damir-karimov.comJul 7 · 4 min read

Monolith First, Microservices Later: The Architecture Decision That Saves Startups

Most startups don't fail because of a monolith. They fail because they never build something people actually want. Stop Building for Scale Before You Have Users If you've spent time on YouTube, Reddit

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KSKanishka Shashinodej.hashnode.devJul 7 · 11 min read

Building Scalable Systems: Caching, Rate Limiting, and Observability

What Happens When Your Application Suddenly Gets One Million Users? Imagine this. You launch a new product after months of development. Marketing campaigns go live, influencers start talking about it,

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AOAdekola Olawaleadekolaolawale.hashnode.devJul 7 · 9 min read

Part 8: Staff-Level System Design for Massive Frontend Applications: Architecting for Millions of Users

When most developers hear the phrase system design, they immediately think about backend engineering. Questions like: Which database should we use? How should we partition data? Should we use Redis

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FAFaizan Alimadprogrammer1.hashnode.devJul 7 · 6 min read

Scalability Explained: What It Really Means to Build Software That Grows

From Code to Scale — Part 1 Every developer eventually hears someone say: "We need to make the application scalable." It sounds straightforward. Until you ask the obvious question: What exactly is

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FGFrances Georgevirtualmachineapache.hashnode.devJul 2 · 12 min read

Deploying Azure Virtual Machine Scales set with Autoscaling

INTRODUCTION Scenario: PalmPay Millions of Nigerians initiate transfers, pay bills, and top up airtime at the same time during holidays like Christmas, Sallah, and end-of-month salary cycles, causing

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SCSandeep Choudharysandeepc.hashnode.devJun 28 · 8 min read

Database Sharding - Strategies for Horizontal Data Partitioning

Welcome back to our System Design Series! Today, we're diving deep into a crucial technique for scaling databases - sharding. As applications grow and data volumes explode, a single database instance

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AAAwais Ahmadblog.itsahmadawais.comJun 27 · 6 min read

Why Scaling Servers Doesn't Fix Your Database Bottleneck

Horizontal scaling solves many problems. But it doesn't solve all of them. One of the most common misconceptions among developers is that adding more application servers automatically means the applic

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SSilentHackssilenthacks.hashnode.devJun 27 · 14 min read

When "Roughly Similar" Became a Scaling Problem

Sacrifice a few items, get one back. What even goes into making something like this? When we were brainstorming features for the bot, this concept was something we were all keen on. The idea itself is

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#scalability

Explore Hashnode

Trending tags this week

How consistent hashing works and helps in rebalancing shards in a SQL DB.

Performance vs Scalability: Understanding the Difference

Monolith First, Microservices Later: The Architecture Decision That Saves Startups

Building Scalable Systems: Caching, Rate Limiting, and Observability

Part 8: Staff-Level System Design for Massive Frontend Applications: Architecting for Millions of Users

Scalability Explained: What It Really Means to Build Software That Grows

Deploying Azure Virtual Machine Scales set with Autoscaling

Database Sharding - Strategies for Horizontal Data Partitioning

Why Scaling Servers Doesn't Fix Your Database Bottleneck

When "Roughly Similar" Became a Scaling Problem