Enhancing the sample analytics pipeline

You can create your production analytics pipeline based on the sample analytics pipeline.

1. Install and start the components of the sample analytics pipeline.
2. Use the replay script to see the sample analytics pipeline working with the previously recorded real system data.
3. Experiment with the analysis and the environment by using the replay script in the following ways:
   • Modify the dashboards, the SQL analysis, and the Python real-time analysis to get additional understanding.
   • Swap in different products or add additional products to the processing for other purposes.
4. In a test environment, add real-time runtime metrics collection instead of the replay script as the data source for the sample analytics pipeline.
   Make the following changes to your code base if needed:

   • Implement the MsgType horizontal name-value pair. The sample analysis provided focuses on understanding the system state from the perspective of this name-value pair.
   • Use the high-level ECB owner name as the code package name. ECB owner names can be set automatically by using the program configuration file.

   Otherwise, modify the analysis to use different name-value pairs.

   You can add additional data sources and integrate into your analysis.

5. Implement your analysis and analytics pipeline in a production environment.