6XL833G  Monitoring and platform APIs for IBM Cloud Pak for Data V4.7

Duration:    6 Hours

Level:          Intermediate

Audience:   

Professional administrators of IBM Cloud Pak for Data

Next Sessions
Start (YYYY-MM-DD) End (YYYY-MM-DD) Language Amount
2024-05-10 2024-05-10 English 1250 EUR 1591
2024-05-24 2024-05-24 English 1250 EUR 1605
2024-06-07 2024-06-07 English 1250 EUR 1619
2024-06-21 2024-06-21 English 1250 EUR 1633
2024-07-05 2024-07-05 English 1250 EUR 1647
2024-07-19 2024-07-19 English 1250 EUR 1661
2024-08-02 2024-08-02 English 1250 EUR 1675
2024-08-16 2024-08-16 English 1250 EUR 1689
2024-08-30 2024-08-30 English 1250 EUR 1703
2024-09-13 2024-09-13 English 1250 EUR 1717
2024-09-27 2024-09-27 English 1250 EUR 1731
2024-10-11 2024-10-11 English 1250 EUR 1745
2024-10-25 2024-10-25 English 1250 EUR 1759
2024-11-08 2024-11-08 English 1250 EUR 1773
2024-11-22 2024-11-22 English 1250 EUR 1787
2024-12-06 2024-12-06 English 1250 EUR 1801
2024-12-20 2024-12-20 English 1250 EUR 1815
Overview

This course helps you explore the IBM Cloud Pak for Data monitoring and alerting framework. In this course, you customize alert forwarding, configure the monitoring stack so that it sends Cloud Pak for Data metrics to Prometheus.  You perform routine Cloud Pak for Data monitoring, which leads to investigating and resolving issues in your environment. You also deploy scripts that use platform APIs, and enhance the monitoring feature by introducing custom monitors.

Prerequisites
  • Cloud Pak for Data platform administration skills on an intermediate level
  • Knowledge of Red Hat OpenShift Container Platform and the architecture of Cloud Pak for Data
  • Understanding of the shell syntax
  • Explain the Cloud Pak for Data monitoring and alerting framework
  • Set up the SMTP settings and alert forwarding
  • Configure the monitoring stack
  • Perform routine Cloud Pak for Data monitoring
  • Use platform APIs to review events and monitors
  • Deploy a custom monitor
  • Introduction
  • Monitor Cloud Pak for Data
  • Work with the monitoring stack
  • Perform a routine Cloud Pak for Data monitoring
  • Use alerting APIs for platform monitoring
  • Set up a custom monitor
  • Review and evaluation