Connecting Developers to Architectural Excellence
Connecting Developers to Architectural Excellence
Introduction Quorum consensus is a fundamental technique in distributed systems for achieving data consistency and fault tolerance by requiring a majority (or quorum) of nodes to agree on read and write operations. It ensures that operations succeed only when a…
Introduction Leader election is a fundamental problem in distributed systems, where nodes must select a single leader to coordinate tasks, ensure consistency, and manage resources, while the remaining nodes act as followers. This process is essential for maintaining system reliability…
System design involves balancing competing constraints to achieve optimal performance, scalability, and reliability. Trade-offs are inherent in this process, as improving one aspect often compromises another. This extensive analysis examines the top 15 trade-offs in system design, focusing on their…
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 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 high-traffic applications like APIs (e.g., Twitter, PayPal), web services (e.g.,…
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…