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COMP8062 - Cloud Automation&Orchestration

Title:Cloud Automation&Orchestration
Long Title:Cloud Automation & Orchestration
Module Code:COMP8062
Duration:1 Semester
Credits: 5
NFQ Level:Advanced
Field of Study: Computer Science
Valid From: Semester 1 - 2020/21 ( September 2020 )
Module Delivered in 2 programme(s)
Module Coordinator: Sean McSweeney
Module Author: Eoin ORegan
Module Description: Cloud automation enables the efficient automation, provisioning and management of cloud infrastructures and their associated workloads. In this module students will learn how scripting/programming languages and cloud automation tools can be leveraged to replace manual work with automated routines within a cloud environment. In addition, students will learn about cloud orchestration tools and techniques to effectively manage and automate tasks across an enterprise by scheduling and integrating automated tasks, facilitated by cloud automation tools, between different systems.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Critically assess the purpose, benefits and approaches of automation and orchestration as part of an overall infrastructure management solution.
LO2 Design and develop programs using Python as a programming language to automate and perform common tasks within a cloud computing infrastructure.
LO3 Identify the category of automation tool and select the optimal tool to automate a given task within a cloud infrastructure.
LO4 Design a solution to automate the development and operations for an organisation.
LO5 Orchestrate the automated provisioning and management of virtual infrastructure to provide services in a single or multi-cloud environment.
Pre-requisite learning
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.

No requirements listed
No Co Requisites listed

Module Content & Assessment

Indicative Content
Introduction to Automation & Orchestration
History of automation in Information Technology - scripting languages, provisioning, management tools and the role of Infrastructure-as-Code (IaC). Cloud Automation - purpose and benefits. Suitability of automation to Cloud environments. Cloud Orchestration as a process control for managing automated activities across the Cloud.
Using Python for common IaaS tasks and cloud service deployment
Understanding how Python handles data: numbers, strings, lists, dictionaries and sets. Processing Python's data structures: control structures, loops and comprehensions. Structuring Python code: functions, modules, packages and files. Engineering Python code: objects, classes, and OOP (with Python). Scripting your cloud architecture using Python cloud libraries to deploy, manage and monitor cloud services (IaaS and PaaS) using Python libraries such as boto and Apache LibCloud.
Categories and characteristics of Cloud Automation tools
Main categories of Cloud Automation tools - Configuration Management, Configuration Provisioning, Continuous Integration and Orchestration and the most widely used tools in each category. The typical characteristics/capabilities of tools within a given category. The major differences between categories and the overlap between them. Identifying the category of tool and individual tool within a category to use based on requirements.
Implementation of Cloud Automation
Viewing and manipulating Infrastructure as Code (IaC) using tools such as fabric, salt, chef, puppet, ansible, vagrant, docker and kubernettes. Demonstrate automated configuration, deployment and management of infrastructure (including virtual machines, containers, network) within the Private Cloud (VMware vRealize) and Public Cloud (AWS OpWorks).
Orchestration of Single and Multi-Cloud Environments
Public and Private Cloud native orchestration tools to deploy and manage virtual infrastructure (AWS CloudFormation, Google Cloud – Cloud Composer, OpenStack HEAT). The integration of third-party Automation and Orchestration tools to manage the life-cycle of virtual infrastructure in single and multi-Cloud environments.
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project For a given cloud infrastructure, students will identify tasks that can be automated and then design and justify a solution. 1,2,3,4 50.0 Week 9
Practical/Skills Evaluation The student, for example, will implement a set of automation tools to manage, coordinate and provision all components of a cloud platform that will run in a single or multi-cloud environment. 3,4,5 50.0 Week 13
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The institute reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Lecture delivering theory underpinning learning outcomes. 2.0 Every Week 2.00
Lab Lab to support learning outcomes 2.0 Every Week 2.00
Directed Learning Independent Study 3.0 Every Week 3.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Lecture delivering theory underpinning learning outcomes. 2.0 Every Week 2.00
Lab Lab to support learning outcomes 2.0 Every Week 2.00
Directed Learning Independent study 3.0 Every Week 3.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00

Module Resources

Recommended Book Resources
  • Paul Barry 2010, Head First Python, O'Reilly Media [ISBN: 9781449382674]
  • Aditya Patawari, Vikas Aggarwal (Author) 2018, Ansible 2 Cloud Automation Cookbook: Write Ansible playbooks for AWS, Google Cloud, Microsoft Azure, and OpenStack, Packt Publishing [ISBN: 9781788295826]
Supplementary Book Resources
  • John Arundel 2017, Puppet 5 Beginner's Guide, 3rd Edition Ed., Packt Publishing [ISBN: 9781788472906]
  • Mitch Garnaat, O'Reilly 2011, Python & AWS Cookbook, O'Reilly Media [ISBN: 9781449305444]
  • Adnan Ahmed Siddiqui 2015, OpenStack Orchestration, Packt Publishing [ISBN: 9781783551651]
  • Kief Morris 2016, Infrastructure as Code: Managing Servers in the Cloud, 1st Edition Ed., O'Reilly Media [ISBN: 9781491924358]
This module does not have any article/paper resources
Other Resources

Module Delivered in

Programme Code Programme Semester Delivery
CR_KCLCO_8 Higher Diploma in Science in Cloud Computing 2 Mandatory
CR_KCLDC_9 Master of Science in Cloud Computing 1 Mandatory

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