IBM Cloud Pak for Automation Installation and Administration WB318G

Duration: 
2 days
Codes: 
WB318G

Overview

This course is also available as self-paced virtual (e-learning) course IBM Cloud Pak for Automation, Installation and Administration (ZB318G). This option does not require any travel.

  • For information about other related courses, see the IBM Training website:
  • ibm.com/training

Audience

This course is intended for administrators and operators responsible for installing and managing containerized environments.

Skills Gained

  • IBM Cloud Pak for Automation Overview
  • Education Lab Environment Overview
  • Exercise: Deploying the IBM FileNet P8 Content Platform Engine (CPE) container
  • Exercise: Administering the IBM Cloud Pak for Automation containers
  • Course summary, badge, and other learning resources

Prerequisites

Before taking this course, you should have some experience working with Docker and Kubernetes. You should also have experience with, or prior education on, Red Hat Enterprise Linux and Red Hat OpenShift Container platform (RHOCP).

Course Outline

  • Describe IBM Cloud Paks
  • Explain IBM Cloud Pak for Automation
  • Connect to Red Hat OpenShift Container (RHOCP)
  • Create and secure the ODM database
  • Deploy the ODM container on RHOCP
  • Verify the successful ODM deployment
  • Create the Persistent Volumes and Persistent Volume Claims that are required by IBM FileNet P8 Content Platform Engine
  • Prepare the database required by IBM Content Platform Engine
  • Prepare Lightweight Directory Access Protocol LDAP required by BM Content Platform Engine
  • Load the BM Content Platform Engine docker images for Cloud Pak for Automation
  • Deploy the BM Content Platform Engine container
  • Verify successful IBM Content Platform Engine deployment
  • Connect to the BM Content Platform Engine container and successfully log in to the Administrative Console for Content Engine (ACCE)
  • Troubleshoot the deployment
  • Explore the Red Hat OpenShift container (RHOCP) web console for container management
  • Examine the available open source monitoring options - metrics, alerts, and dashboards
  • Scale an application deployment by using OpenShift

Monitor containers by using probes

Related Courses

 

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