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Automatization and orchestration in IT systems

  • Class 30
  • Practice 30
  • Independent work 120
Total 180

Course title

Automatization and orchestration in IT systems

Lecture type

Obligatory

Course code

21-00-540

Semester

5

ECTS

6

Lecturers and associates

Course overview

The objectives of this module is to enable students to:
• acquire the knowledge of advanced deployment concepts for open-source and Microsoft Windows-based environments
• acquire the knowledge about descriptive and non-descriptive technologies to customize deployed solutions further

Studnets learn the practical approach to large-scale deployment processes for both open-source and Microsoft Windows-based environments and how to customize the overall process by using descriptive and non-descriptive technologies.

It is important for students to take this module as it will enable them to learn about automated and orchestrated approaches to system and software management, as well as additional service configuration..

Literature

Essential reading:
1. Costello, R., Maunsell, R. (2014) Introduction to Microosft Automation Solutions, Microsoft Press [s.l.]
2. Feagle, T., Quatermain, H., Spohn, D., Vasquez, A., Weetman, M. (2019) Red Hat Enterprise Linux 8.0 RH294 Red Hat System Administration III: Linux Automation, Red Hat [s.l.]

Recommended reading:
1. McKeown, M. (2015) Azure Automation Microosft Azure Essentials, Microsoft Press [s.l.]
2. Hall, D. (2015), Ansible Configuration Management, Livery Place, 35 Livery Street, Birmingham B3 2PB, UK, Packt Publishing.
3. Della Monica, A., Rimmerman, R., Cesarini, A., Silveira, V. (2016) Deploying Windows 10, Microsoft Press [s.l.]

Further reading:
1. Ziembicki, D., Cushner, A., Rynes (2013), Designing Orchestrator Runbooks, Microsoft Press [s.l.]
2. Shah, G., (2015), Ansible Playbook Essentials, Livery Place, 35 Livery Street, Birmingham B3 2PB, UK, Packt Publishing.
3. Frank, F., Alfke, M. (2015) Puppet 4 Essentials, Livery Place, 35 Livery Street, Birmingham B3 2PB, UK, Packt Publishing.

Minimal learning outcomes

  • Recommend deployment options for Windows operating systems and software in large environments
  • Recommend deployment options for open source operating systems and software in large environments
  • Choose options for using non-descriptive technologies to configure remote Linux servers
  • Choose options for using descriptive technologies to configure remote Linux servers

Preferred learning outcomes

  • Determine correct deployment options for Windows operating systems and software in large environments
  • Determine correct deployment options for open source operating systems and software in large environments
  • Design options for using non-descriptive technologies to configure remote Linux servers
  • Design options for using descriptive technologies to configure remote Linux servers
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