Log-Structured Storage is a data management technique that organizes data in a sequential log format. Instead of updating existing data in place, it appends new data to the end of a log file. This approach optimizes write operations, making them faster and more efficient, especially for systems that handle large volumes of data. When data needs to be read, the system may require additional processes to locate and consolidate the relevant information from the log. This method is commonly used in databases and file systems, such as Log-Structured File Systems and NoSQL databases, to improve performance and scalability.