source

Source

This folder contains:

• an anomaly-detection folder, which contains:
  1. a metrics folder, which contains sample metric datasets:
     1. prometheus-route-aiops-prod-prometheus-predict-cloud.paas.psi.redhat.com should contain datasets for two metrics:
        1. badger_disk_reads:rate1m which will contain mainly:
           1. 1month of data (Aug 13-Sep 13) - This contains 1 month of metric data collected for Dgraph disk read operations
           2. 90 days of data - This contains 3 months of metric data collected for the Dgraph disk write operations
           3. Other .json files which contain much smaller sample sizes of metric data
        2. badger_disk_writes:rate1m which will contain mainly:
           1. 1month of data (Aug 13-Sep 13) - This contains 1 month of metric data collected for Dgraph disk read operations
           2. 90 days of data - This contains 3 months of metric data collected for the Dgraph disk write operations
           3. Other .json files which contain much smaller sample sizes of metric data
  2. an Introduction_TimeSeries_Anomaly_Detection.ipynb notebook, where we will learn how to build a machine learning model to perform time series forecasting and predict anomalies
• a prometheus-api-client folder, which contains:
  1. an Introduction_Prometheus_API_Client.ipynb notebook, where we will explore how to use the Prometheus API Client library for fetching and manipulating metric data from a Prometheus host