Sharding

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

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

The Dual Write Problem: A Comprehensive Guide

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

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

Apache Kafka: A Complete Guide

kafka

Apache Kafka has become the backbone of modern real-time data pipelines and event-driven architectures. Originally developed at LinkedIn and later open-sourced, Kafka is now one of the most widely adopted distributed streaming platforms. It is designed to handle high-throughput, fault-tolerant, and scalable event streaming across diverse industries. What is Kafka? At its core, Kafka is … Read full article: Apache Kafka: A Complete Guide

Common Terms of System Design

System design involves creating the architecture of a system to meet specific requirements. Here are some common terms used in system design: Network Partition In the context of distributed databases or systems, network partitions are particularly challenging because they force the system to make trade-offs between consistency, availability, and partition tolerance, as described by the … Read full article: Common Terms of System Design

Consistent Hashing: An In-Depth Guide

consistent hashing

Consistent hashing is a technique used in distributed systems to evenly distribute data across a cluster of nodes, minimising the amount of data that needs to be relocated when nodes are added or removed. This method ensures that the system remains scalable, fault-tolerant, and efficient. Introduction In a large-scale distributed system, data does not fit … Read full article: Consistent Hashing: An In-Depth Guide

Back of the Envelope Calculations for System Design: A Practical Guide

Back of the Envelope

Back of the envelope calculations are invaluable in the early stages of system design. These rough, rapid estimates provide ballpark figures that help engineers and architects quickly assess feasibility and compare multiple approaches, guiding more detailed analysis and design. What Are Back of the Envelope Calculations? Back of the envelope calculations are quick, simplified estimates … Read full article: Back of the Envelope Calculations for System Design: A Practical Guide