Autonomous Server Operations and Optimisation
Credit points
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Online Real Time
VU Brisbane
VU Sydney
Prerequisites
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)
Overview
This unit bridges the gap between traditional server management and cutting-edge AI-driven automation tools. It covers essential aspects of database management, operating system, system management, network management, and software administration. Additionally, you will learn how to utilise AI to optimise database performance, automate system monitoring, and manage backups efficiently. By the end of this unit, you will be able to deploy and manage modern server infrastructures autonomously, ensuring both performance and security in increasingly complex environments.
Learning Outcomes
On successful completion of this unit, students will be able to:
- Evaluate the role of AI-driven tools in database, system, and network management.
- Design functional server operation solutions with AI-driven tools to effectively manage a stable, small-scale networked environment.
- Develop AI-based solutions for automatic performance tuning, backup scheduling, and troubleshooting.
- Optimise server performance using AI-based tools to identify bottlenecks, improve resource utilisation, and enhance system availability.
Assessment
For Melbourne campuses
Assessment type: Laboratory Work | Grade: 20%
Practical lab work
Assessment type: Assignment | Grade: 50%
Server automation project with presentation, demonstration and Q&A verification.
Assessment type: Case Study | Grade: 30%
Server optimisation design case study report
Assignment:
Includes structured milestone reviews and in-class progress checks. Individual contributions are logged, validated, and justified through recorded peer review or demonstration to ensure authenticity.
Other locations
Assessment type: Laboratory Work | Grade: 20%
Practical lab report
Assessment type: Assignment | Grade: 30%
Server automation project with presentation, demonstration and Q&A verification.
Assessment type: Examination | Grade: 50%
Invigilated Final Written Examination
Assignment: Includes structured milestone reviews and in-class progress checks. Individual contributions are logged, validated, and justified through recorded peer review or demonstration to ensure authenticity. Examination: Invigilated, time-bound exam includes unseen data sets or problem types. Students must demonstrate deep understanding by explaining reasoning, performing analysis, and applying concepts to new contexts.
Required reading
NA
As part of a course
This unit is studied as part of the following course(s):