What is the recommended RAM for a small IdentityIQ implementation?

For a small IdentityIQ implementation, 8GB of RAM is considered the recommended amount. This configuration allows for adequate performance and responsiveness of the IdentityIQ system, especially during peak loads or when processing multiple requests simultaneously. The 8GB of RAM strikes a balance between cost and performance, ensuring that the system can handle the necessary operations without encountering memory shortages that could lead to slowdowns or crashes.

In smaller implementations, the workloads are generally manageable, but having 8GB provides headroom to accommodate growth, increased user activity, and the execution of various identity management processes without risking performance bottlenecks. This level of memory supports basic application functionality, including data processing, user interface responsiveness, and background tasks such as the scheduled jobs that IdentityIQ might run.

Options with lower RAM, such as 4GB, might lead to limited performance and could hinder the effectiveness of the system. Conversely, while higher RAM configurations like 12GB or 16GB provide additional capacity, they may be unnecessary for a small-scale deployment, resulting in higher costs without a corresponding benefit in performance.