Uma Mahesh

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…

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,…