In today’s world, generate random identity details for various purposes is an important requirement. This includes user identification, transaction or session ids, as well as database record identifiers. These IDs must be unique, secure, and scalable to meet the growing demand for different applications.
Successful modern apps scale to millions or even billions of users and need unique IDs for each. One solution is to use auto-increment ids, which work well for single systems and can be easily replicated. But this approach falls apart once you start to outgrow the number of records that can be stored on a single host, because it will not prevent different hosts from using the same ids.
Generate Random Identity Data for QA
Another option is to use UUIDs or GUIDs, which have their own problems. They are difficult to remember, and lack the time information that is necessary for some uses. So a better solution is to generate random ids that are hard to guess and easy to remember, but also tell you something about the time the number was generated.
To address the needs of various applications, the ID generation system must provide a range of options for ID length and character set. It should also be able to support a high level of entropy to ensure that the IDs are secure and unique. Finally, the system should be scalable to ensure that it can handle large numbers of new IDs without experiencing performance degradation.