Red Hat Services Management and Automation


Red Hat Services Management and Automation Certification Training Course Overview

This course (RH358) is majorly designed for any IT professionals with some experience in managing Linux® systems and who wanted to learn more about how to manage and deploy network services included with Red Hat® Enterprise Linux which are particularly important in the modern IT data center. Participants will be learning of how to install, configure, and manage basic configurations of these services manually, and then use Red Hat Ansible® Engine to automate your work in a scalable, repeatable manner.

This course is based on Red Hat Ansible Engine 2.9 and Red Hat Enterprise Linux 8.1.

Audience

  • Linux system administrators
  • Site reliability engineers
  • IT professionals with some Ansible experience

Red Hat Services Management and Automation Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 4 Days (8 Days for 4 Hours/Day)
Fee : 1,400 (Includes Taxes) (Only for Delivery In India) 
9 AM - 5 PM (Flexible Time Slots for 4 hours option)




Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

Special Solutions for Corporate Clients! Click here

Hire Our Trainers! Click here

Get Quote

Course Prerequisites

Upon completion of this course, you will be able to accomplish:

  • Developing the key skills in managing and automating common services that support and are used by your business-critical applications.
  • Reducing time to deployment, improving reliability, and ensuring architectural compliance
  • Learning the key system in administration skills required to set up and provide network services that are frequently used by servers and their applications in enterprise data centers
  • To gain an understanding of how to manually manage these services, and you will also prepare Ansible playbooks to automate manual configuration tasks and perform them at scale.