Example of how to analyse various data sources in Cryptolens
There are several data sources you can use to analyse the usage of your application and generate audit reports. We will describe them in more detail below and provide several examples of how they can be analysed.
We suggest to review the following repository to check if the report that you need to create is already available. As always, please let us know should you have any questions at [email protected].
The easiest way to analyse the logs is using our Python SDK in combination with Anaconda to manage the packages. Let’s look at how we can get some basics stats on the ratio of successful vs. unsuccessful requests. First, we need to load the relevant data:
Once we have the data in a pandas DataFrame, let’s create the plot:
This will create the following plot:
Example of how to analyse various data sources in Cryptolens
There are several data sources you can use to analyse the usage of your application and generate audit reports. We will describe them in more detail below and provide several examples of how they can be analysed.
We suggest to review the following repository to check if the report that you need to create is already available. As always, please let us know should you have any questions at [email protected].
The easiest way to analyse the logs is using our Python SDK in combination with Anaconda to manage the packages. Let’s look at how we can get some basics stats on the ratio of successful vs. unsuccessful requests. First, we need to load the relevant data:
Once we have the data in a pandas DataFrame, let’s create the plot:
This will create the following plot: