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IBM Cloud Pak for Watson AIOps Administration
Course Description
Overview
IBM Cloud Pak for Watson AIOps deploys advanced, explainable AI across the IT Operations (ITOps) toolchain so that you can confidently assess, diagnose, and resolve incidents across mission-critical workloads.
IBM Cloud Pak for Watson AIOps brings the depth and breadth of IBM's enterprise expertise to managing complex, mission-critical IT environments. IBM Cloud Pak for Watson AIOps helps you apply AI to IT operations to maximize efficiency, reduce costs, and maintain the resiliency and security you need to drive meaningful innovation.
This course is designed to teach you how to perform important administration tasks for the IBM Cloud Pak for Watson AIOps platform, such as user management, troubleshooting, and self-monitoring.
Objectives
- Understand how machine learning applies to IT operations problems
- Describe key features of IBM Cloud Pak for Watson AIOps
- Explain IBM Cloud Pak for Watson AIOps architecture
- Understand OpenShift concepts and terminology
- Manage users and groups
- Integrate the AIOps console with an LDAP user repository
- Create custom roles
- Troubleshoot your environment
- Monitor the health of Event Manager
- Monitor your Cloud Pak deployment with the topology service
- View runbook history
Exercises
- Exercise 1. About your lab environment
- Exercise 2. Integrating with LDAP
- Exercise 3. Troubleshooting
- Exercise 4. Self-monitoring
Audience
This course is intended for administrators and operators responsible for installing and managing containerized environments.
Prerequisites
- Experience with Linux
- Working knowledge of Kubernetes
- Experience with Red Hat OpenShift Container platform (RHOCP)
- Experience with Event Manager, which is sometimes called Netcool Operations Insight
Topics
- Course introduction
- Unit 1. IBM Cloud Pak for Watson AIOps overview
- Exercise 1. About your lab environment
- Unit 2. Integrating with LDAP
- Exercise 2. Integrating with LDAP
- Unit 3. Troubleshooting
- Exercise 3. Troubleshooting
- Unit 4. Self-monitoring
- Exercise 4. Self-monitoring
- Summary
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our IBM Cloud Badge Program →Related Courses
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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