Shared-nothing architecture, introduced by Michael Stonebraker in the 1980s, is a distributed computing design where each system node operates independently without shared memory or disk storage, thereby eliminating resource contention and enhancing fault tolerance and scalability. This approach contrasts with shared-memory and shared-disk architectures, which can suffer from bottlenecks due to shared resources. In shared-nothing systems, nodes communicate via a network and process tasks with their own CPU, memory, and disk, allowing for linear scalability and high availability, as the failure of one node does not affect others. The architecture's use of data partitioning or sharding aids in distributing workloads evenly, making it especially suitable for big data and cloud computing environments where systems need to expand on demand. Aerospike, a real-time database, exemplifies shared-nothing principles by using commodity servers for node independence and data partitioning, ensuring high performance, cost-effectiveness, and resilience through efficient node management and fault isolation.