Theory

Welcome to the theory section. Here you will find conceptual explanations and theoretical foundations to design failproof systems

What To Answer In System Design

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Fundamentals

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Common Patterns

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System Design Patterns

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CAP Theorem

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How to Handle Network Failures?

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Eventual vs Strong Consistency

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SQL vs NoSQL Databases

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ACID vs BASE Consistency

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B-tree vs LSM-tree Index

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Throttling vs Rate Limiting

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Throttling and Backpressure

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API Design Patterns

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API Gateway Design

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Consistent Hashing

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Authentication Methodologies

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How to securely store and validate passwords in your database?

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How OAuth Works?

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OAuth vs JWT Authentication

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Cache Eviction Policies

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Cache Write Policies

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Why is Redis so fast?

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What is a Content Delivery Network or CDN?

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Get Real Time Updates in Web Applications

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Server Sent Events (SSE)

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Monolithic vs Microservices Architecture

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Row vs Column Oriented Storage

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Circuit Breaker Pattern

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Service Discovery in Distributed Systems

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Real-Time Analytics

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Distributed Logging and Monitoring

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Distributed Session Management

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Load Balancing Algorithms

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Data Partitioning vs Sharding

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Database Sharding Strategies

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Database Connection Pooling

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Rate Limiting Algorithms

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Idempotency in Distributed Systems

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When to use Message Queue in Your System

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Why use Kafka?

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Pub/Sub

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Pub-Sub vs Message Queues

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Kafka vs RabbitMQ

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How Uber Finds the Nearest Drivers

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What’s the difference between Forward Proxy and Reverse Proxy?

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Why use Zookeeper?

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Why Stream Processing Gets Hard (and How Flink Helps)

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How to handle large file uploads ?

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Why is Cassandra so fast for Writes?

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