Memory Usage of the AP Python

The memory used for the different policy sizes using a sample python application is described in this section.

Sample application

The following is a sample python application.

from appython import Protector
if __name__ == "__main__":

    # Initialize the protector
    protector = Protector()

    # Create session with policy user
    session = protector.create_session("USER1")

    # Protect operation
    p_out = session.protect("Protegrity1", "TE_AN_SLT13_L0R0_N")
    print("Protected Data: %s" %p_out)

    # Reprotect operation
    r_out = session.reprotect(p_out, "TE_AN_SLT13_L0R0_N", "TE_AN_SLT13_L0R0_N")
    print("Reprotected Data: %s" %r_out)

    # Unprotect operation
    org = session.unprotect(r_out, "TE_AN_SLT13_L0R0_N")
    print("Unprotected Data: %s" %org)

Expected memory usage

The process to find the policy size and expected memory usage for different policy sizes used by the python application is described in this section.

To find the policy size:

1. On Insights dashboard, under the Discover section, navigate to the troubleshooting index.
2. Search using the process.module.keyword: coreprovider filter.
3. Navigate to the logs with description as Policy successfully loaded. The additional_info.memoryUsed field depicts the policy size.

The following is the expected memory usage for different policy sizes used by the python application.

The process memory increases substantially for a few milliseconds when the application is running in the following cases:

• The policy is replaced with another policy
  
• Changes are made in the current policy

Conclusion

The results for memory required by various policy sizes using the sample python application can be used to determine the memory requirements of the Python application. The results are based on memory usage of a single instance of python processes. The results exclude LogForwarder and RP Agent.