Category System Design

Core system design patterns provide foundational blueprints for constructing distributed systems that can handle increasing loads, maintain high availability, and ensure efficient resource utilization. These patterns address common challenges in scalability, such as data distribution, fault tolerance, and performance optimization,…

Change Data Capture (CDC): A Comprehensive Analysis for Tracking and Propagating Database Changes in Real Time Change Data Capture (CDC) is a critical technique in distributed systems for identifying, capturing, and propagating changes (inserts, updates, deletes) in a database to…

Rate Limiting Algorithms: A Comprehensive Analysis with C#.NET Core Examples Rate limiting is a critical technique in distributed systems to control the rate of incoming requests, ensuring system stability, preventing abuse, and maintaining fair resource allocation. It is essential for…

Load balancing is a fundamental technique in distributed systems design, aimed at distributing incoming network traffic across multiple backend servers or nodes to optimize resource utilization, minimize response time, maximize throughput, and ensure high availability. In high-traffic applications, such as…

Introduction GeoHashing is a hierarchical spatial indexing technique that encodes geographic coordinates (latitude and longitude) into a compact, alphanumeric string, enabling efficient storage, indexing, and querying of geospatial data in distributed systems. It is widely used in applications requiring location-based…

In distributed systems, ensuring data integrity—the assurance that data remains accurate, consistent, and unaltered during transmission, storage, or processing—is critical for reliability and trust in applications like e-commerce (e.g., Amazon), financial systems (e.g., PayPal), or streaming platforms (e.g., Netflix). Checksums…

Introduction A single point of failure (SPOF) refers to any component in a system—such as a node, service, network link, or database—whose failure can cause the entire system to become unavailable or degrade significantly. In distributed systems, where scalability, reliability,…

Introduction Distributed systems, such as those involving multiple nodes in databases, caches, or microservices, are inherently prone to failures due to network partitions, node crashes, high latency, or resource exhaustion. Handling failures effectively is essential to maintain reliability, availability, and…

Introduction In distributed systems, ensuring that nodes (e.g., servers, databases, or services) are operational and responsive is critical for maintaining reliability, availability, and fault tolerance. Heartbeats and liveness detection are mechanisms used to monitor the health and operational status of…