👉 Snapshot computing is a distributed computing paradigm that focuses on capturing the state of a system at specific points in time, known as snapshots, rather than continuously tracking every change. This approach is particularly useful in scenarios where systems are large and complex, or where real-time data processing is not necessary, but periodic state analysis is required. By taking snapshots, systems can efficiently manage and analyze large volumes of data without the overhead of constant state monitoring. This method allows for rapid recovery from failures, improved performance through selective data processing, and simplified debugging by isolating issues to specific points in time. Snapshot computing is widely used in distributed databases, cloud storage systems, and other environments where scalability and performance are critical.
