UTS’ Approach to IT Operations: Using Code and Automation to Improve EfficiencyIn this interview, UTS' Cloud & DevSecOps Delivery Manager, Patrick Kelso discusses how to solve problems with both technical and human interventions such as growing high performance teams and scalable cloud operations for traditional IT.
Three and half years ago UTS realised that a data centric, data centre view of enterprise, was not what they needed for the next decade.
Data centres drive research, but not corporate IT, or innovation at UTS.
The cultural aspect of building the team required regular interactions during COVID-19 and in the new flexible work environment. Universities thrive on collaboration. The random interactions of people when they bump into each other. This was recreated digitally using the tools available.
Developing skills played a crucial role. Through platforms like LinkedIn learning and services such as Udemy or Cloud Guru, training can be completed on many different topics. Communities of practice developed alongside this training.
Generative AI plays a significant part in current and future operations. The ethics of artificial intelligence and machine learning are complicated and remain an ongoing challenge, not only from a plagiarism perspective, but also from the perspective of leveraging the value of Generative AI.
In this interview, UTS’ Cloud & DevSecOps Delivery Manager, Patrick Kelso, discusses how to solve problems with both technical and human interventions such as growing high performance teams and scalable cloud operations for traditional IT.
- Give your engineers the space and time to try new things and to learn. If they’ve worked on one thing for many years, don’t assume they don’t want to learn new things.
- Using code to improve IT operations. A system of checks and balances governs everything.
- The concept of infrastructure as code has helped automate things such as servers and policies around provisioning infrastructure.